chore: bump version to v1.0.3

This reverts commit 51fe7aa07e.

.gitignore

@@ -15,6 +15,7 @@ model_cache/
 # agent
 .opencode/
 .claude/
+.codex
 
 # Vue widgets development cache (but keep build output)
 vue-widgets/node_modules/

data/supporters.json

@@ -9,17 +9,17 @@
     "Insomnia Art Designs",
     "megakirbs",
     "Brennok",
-    "wackop",
     "2018cfh",
+    "W+K+White",
+    "wackop",
     "Takkan",
-    "stone9k",
+    "Carl G.",
     "$MetaSamsara",
     "itismyelement",
     "onesecondinosaur",
-    "Carl G.",
+    "stone9k",
     "Rosenthal",
     "Francisco Tatis",
-    "Tobi_Swagg",
     "Andrew Wilson",
     "Greybush",
     "Gooohokrbe",
@@ -29,18 +29,16 @@
     "VantAI",
     "runte3221",
     "FreelancerZ",
-    "Julian V",
     "Edgar Tejeda",
-    "Birdy",
     "Liam MacDougal",
     "Fraser Cross",
     "Polymorphic Indeterminate",
+    "Birdy",
     "Marc Whiffen",
-    "Kiba",
     "Jorge Hussni",
-    "Reno Lam",
+    "Kiba",
     "Skalabananen",
-    "esthe",
+    "Reno Lam",
     "sig",
     "Christian Byrne",
     "DM",
@@ -49,24 +47,22 @@
     "J\\B/ 8r0wns0n",
     "Snaggwort",
     "Arlecchino Shion",
+    "Charles Blakemore",
+    "Rob Williams",
     "ClockDaemon",
     "KD",
     "Omnidex",
     "Tyler Trebuchon",
     "Release Cabrakan",
-    "confiscated Zyra",
+    "Tobi_Swagg",
     "SG",
     "carozzz",
     "James Dooley",
     "zenbound",
     "Buzzard",
     "jmack",
-    "Adam Shaw",
-    "Tee Gee",
     "Mark Corneglio",
     "SarcasticHashtag",
-    "Anthony Rizzo",
-    "tarek helmi",
     "Cosmosis",
     "iamresist",
     "RedrockVP",
@@ -75,45 +71,34 @@
     "James Todd",
     "Steven Pfeiffer",
     "Tim",
-    "Timmy",
-    "Johnny",
     "Lisster",
     "Michael Wong",
     "Illrigger",
-    "whudunit",
     "Tom Corrigan",
     "JackieWang",
     "fnkylove",
+    "Julian V",
     "Steven Owens",
     "Yushio",
     "Vik71it",
-    "lh qwe",
     "Echo",
     "Lilleman",
     "Robert Stacey",
     "PM",
     "Todd Keck",
-    "Briton Heilbrun",
     "Mozzel",
     "Gingko Biloba",
-    "Felipe dos Santos",
-    "Penfore",
-    "BadassArabianMofo",
     "Sterilized",
+    "BadassArabianMofo",
     "Pascal Dahle",
-    "Markus",
     "quarz",
     "Greg",
-    "Douglas Gaspar",
+    "Penfore",
     "JSST",
-    "AlexDuKaNa",
-    "George",
+    "esthe",
     "lmsupporter",
-    "Phil",
-    "Charles Blakemore",
     "IamAyam",
     "wfpearl",
-    "Rob Williams",
     "Baekdoosixt",
     "Jonathan Ross",
     "Jack B Nimble",
@@ -125,127 +110,118 @@
     "contrite831",
     "Alex",
     "bh",
+    "confiscated Zyra",
     "Marlon Daniels",
     "Starkselle",
     "Aaron Bleuer",
     "LacesOut!",
-    "Graham Colehour",
+    "greebles",
+    "Adam Shaw",
+    "Tee Gee",
+    "Anthony Rizzo",
+    "tarek helmi",
     "M Postkasse",
-    "Tomohiro Baba",
-    "David Ortega",
     "ASLPro3D",
     "Jacob Hoehler",
     "FinalyFree",
     "Weasyl",
-    "Lex Song",
+    "Timmy",
+    "Johnny",
     "Cory Paza",
     "Tak",
     "Gonzalo Andre Allendes Lopez",
     "Zach Gonser",
     "Big Red",
-    "Jimmy Ledbetter",
+    "whudunit",
     "Luc Job",
     "dl0901dm",
     "Philip Hempel",
     "corde",
     "Nick Walker",
+    "lh qwe",
     "Bishoujoker",
     "conner",
     "aai",
-    "Yaboi",
+    "Briton Heilbrun",
     "Tori",
     "wildnut",
     "Princess Bright Eyes",
-    "Damon Cunliffe",
-    "CryptoTraderJK",
-    "Davaitamin",
     "AbstractAss",
+    "Felipe dos Santos",
     "ViperC",
+    "jean jahren",
     "Aleksander Wujczyk",
     "AM Kuro",
-    "jean jahren",
-    "Ran C",
-    "tedcor",
+    "Markus",
     "S Sang",
-    "MagnaInsomnia",
-    "Akira_HentAI",
     "Karl P.",
+    "Akira_HentAI",
+    "MagnaInsomnia",
     "Gordon Cole",
     "yuxz69",
-    "MadSpin",
+    "Douglas Gaspar",
+    "AlexDuKaNa",
+    "George",
     "andrew.tappan",
     "dw",
     "N/A",
     "The Spawn",
+    "Phil",
     "graysock",
     "Greenmoustache",
     "zounic",
-    "Gamalonia",
     "fancypants",
-    "Vir",
-    "Joboshy",
     "Digital",
     "JaxMax",
     "takyamtom",
-    "Bohemian Corporal",
     "奚明 刘",
-    "Dan",
-    "Seth Christensen",
     "Jwk0205",
     "Bro Xie",
-    "Draven T",
-    "yer fey",
+    "준희 김",
     "batblue",
     "carey6409",
     "Olive",
     "太郎 ゲーム",
     "Some Guy Named Barry",
-    "jinxedx",
-    "Aquatic Coffee",
     "Max Marklund",
+    "Tomohiro Baba",
+    "David Ortega",
     "AELOX",
-    "Dankin",
     "Nicfit23",
     "Noora",
-    "ethanfel",
     "wamekukyouzin",
     "drum matthieu",
     "Dogmaster",
     "Matt Wenzel",
     "Mattssn",
-    "Frank Nitty",
+    "Lex Song",
     "John Saveas",
-    "Focuschannel",
     "Christopher Michel",
     "Serge Bekenkamp",
+    "Jimmy Ledbetter",
     "LeoZero",
     "Antonio Pontes",
     "ApathyJones",
     "nahinahi9",
-    "Anthony Faxlandez",
     "Dustin Chen",
     "dan",
-    "Blackfish95",
+    "Yaboi",
     "Mouthlessman",
     "Steam Steam",
-    "Paul Kroll",
+    "Damon Cunliffe",
+    "CryptoTraderJK",
+    "Davaitamin",
     "otaku fra",
-    "semicolon drainpipe",
-    "Thesharingbrother",
+    "Ran C",
+    "tedcor",
     "Fotek Design",
-    "Bas Imagineer",
-    "Pat Hen",
-    "ResidentDeviant",
     "Adam Taylor",
-    "JC",
     "Weird_With_A_Beard",
-    "Prompt Pirate",
+    "MadSpin",
     "Pozadine1",
-    "uwutismxd",
     "Qarob",
     "AIGooner",
     "inbijiburu",
-    "decoy",
     "Luc",
     "ProtonPrince",
     "DiffDuck",
@@ -258,53 +234,54 @@
     "thesoftwaredruid",
     "wundershark",
     "mr_dinosaur",
-    "Tyrswood",
     "linnfrey",
-    "zenobeus",
-    "Jackthemind",
-    "Stryker",
+    "Gamalonia",
+    "Vir",
     "Pkrsky",
-    "raf8osz",
-    "blikkies",
+    "Joboshy",
+    "Bohemian Corporal",
+    "Dan",
     "Josef Lanzl",
+    "Seth Christensen",
     "Griffin Dahlberg",
-    "준희 김",
+    "Draven T",
+    "yer fey",
     "Error_Rule34_Not_found",
     "Gerald Welly",
-    "Shock Shockor",
     "Roslynd",
     "Geolog",
-    "Goldwaters",
+    "jinxedx",
     "Neco28",
-    "Zude",
+    "Aquatic Coffee",
+    "Dankin",
+    "ethanfel",
     "Cristian Vazquez",
-    "Kyler",
+    "Frank Nitty",
     "Magic Noob",
-    "aRtFuL_DodGeR",
-    "X",
+    "Focuschannel",
     "DougPeterson",
     "Jeff",
     "Bruce",
-    "CrimsonDX",
     "Kevin John Duck",
+    "Anthony Faxlandez",
     "Kevin Christopher",
     "Ouro Boros",
-    "DarkSunset",
+    "Blackfish95",
     "dd",
-    "Billy Gladky",
-    "Probis",
-    "shrshpp",
-    "Dušan Ryban",
-    "ItsGeneralButtNaked",
-    "sjon kreutz",
-    "Nimess",
+    "Paul Kroll",
+    "MiraiKuriyamaSy",
+    "semicolon drainpipe",
+    "Thesharingbrother",
+    "Bas Imagineer",
+    "Pat Hen",
     "John Statham",
-    "Youguang",
+    "ResidentDeviant",
     "Nihongasuki",
-    "Metryman55",
-    "andrewzpong",
-    "FrxzenSnxw",
-    "BossGame",
+    "JC",
+    "Prompt Pirate",
+    "uwutismxd",
+    "decoy",
+    "Tyrswood",
     "Ray Wing",
     "Ranzitho",
     "Gus",
@@ -316,7 +293,6 @@
     "WRL_SPR",
     "capn",
     "Joseph",
-    "lrdchs",
     "Mirko Katzula",
     "dan",
     "Piccio08",
@@ -326,51 +302,135 @@
     "Moon Knight",
     "몽타주",
     "Kland",
-    "Hailshem",
+    "zenobeus",
+    "Jackthemind",
     "ryoma",
-    "John Martin",
+    "Stryker",
+    "raf8osz",
+    "ElitaSSJ4",
+    "blikkies",
     "Chris",
     "Brian M",
     "Nerezza",
     "sanborondon",
-    "moranqianlong",
     "Taylor Funk",
     "aezin",
     "Thought2Form",
     "jcay015",
     "Kevin Picco",
     "Erik Lopez",
+    "Shock Shockor",
     "Mateo Curić",
-    "Haru Yotu",
+    "Goldwaters",
+    "Zude",
     "Eris3D",
     "m",
     "Pierce McBride",
     "Joshua Gray",
+    "Kyler",
     "Mikko Hemilä",
-    "Matura Arbeit",
+    "aRtFuL_DodGeR",
     "Jamie Ogletree",
-    "TBitz33",
-    "Emil Bernhoff",
     "a _",
-    "SendingRavens",
     "James Coleman",
+    "CrimsonDX",
     "Martial",
     "battu",
     "Emil Andersson",
     "Chad Idk",
-    "Michael Docherty",
+    "DarkSunset",
+    "Billy Gladky",
     "Yuji Kaneko",
+    "Probis",
+    "Dušan Ryban",
+    "ItsGeneralButtNaked",
+    "Jordan Shaw",
+    "Rops Alot",
+    "Sam",
+    "sjon kreutz",
+    "Nimess",
+    "SRDB",
+    "Ace Ventura",
+    "g unit",
+    "Youguang",
+    "Metryman55",
+    "andrewzpong",
+    "FrxzenSnxw",
+    "BossGame",
+    "lrdchs",
+    "momokai",
+    "Hailshem",
+    "kudari",
+    "Naomi Hale Danchi",
+    "dc7431",
+    "ken",
+    "Inversity",
+    "AIVORY3D",
+    "epicgamer0020690",
+    "Joshua Porrata",
+    "keemun",
+    "SuBu",
+    "RedPIXel",
+    "Kevinj",
+    "Wind",
+    "Nexus",
+    "Ramneek“Guy”Ashok",
+    "squid_actually",
+    "Nat_20",
+    "Edward Weeks",
+    "kyoumei",
+    "RadStorm04",
+    "JohnDoe42054",
+    "BillyHill",
+    "emyth",
+    "chriphost",
+    "KitKatM",
+    "socrasteeze",
+    "ResidentDeviant",
+    "gzmzmvp",
+    "Welkor",
+    "John Martin",
+    "Richard",
+    "Andrew",
+    "Robert Wegemund",
+    "Littlehuggy",
+    "moranqianlong",
+    "Gregory Kozhemiak",
+    "mrjuan",
+    "Brian Buie",
+    "Sadlip",
+    "Haru Yotu",
+    "Eric Whitney",
+    "Joey Callahan",
+    "Ivan Tadic",
+    "Mike Simone",
+    "Morgandel",
+    "Kyron Mahan",
+    "Matura Arbeit",
+    "Noah",
+    "Jacob McDaniel",
+    "X",
+    "Sloan Steddy",
+    "TBitz33",
+    "Anonym dkjglfleeoeldldldlkf",
+    "Temikus",
+    "Artokun",
+    "Michael Taylor",
+    "SendingRavens",
+    "Derek Baker",
+    "Michael Anthony Scott",
+    "Atilla Berke Pekduyar",
+    "Michael Docherty",
+    "Nathan",
+    "Decx _",
+    "Paul Hartsuyker",
     "elitassj",
     "Jacob Winter",
-    "Jordan Shaw",
-    "Sam",
-    "Rops Alot",
-    "SRDB",
-    "g unit",
-    "Ace Ventura",
+    "Distortik",
     "David",
     "Meilo",
     "Pen Bouryoung",
+    "四糸凜音",
     "shinonomeiro",
     "Snille",
     "MaartenAlbers",
@@ -378,101 +438,104 @@
     "xybrightsummer",
     "jreedatchison",
     "PhilW",
-    "momokai",
+    "Tree Tagger",
     "Janik",
-    "kudari",
-    "Naomi Hale Danchi",
-    "dc7431",
-    "ken",
-    "Inversity",
     "Crocket",
-    "AIVORY3D",
-    "epicgamer0020690",
-    "Joshua Porrata",
     "Cruel",
-    "keemun",
-    "SuBu",
-    "RedPIXel",
     "MRBlack",
-    "Kevinj",
-    "Wind",
-    "Nexus",
     "Mitchell Robson",
-    "Ramneek“Guy”Ashok",
-    "squid_actually",
-    "Nat_20",
     "Kiyoe",
-    "Edward Weeks",
-    "kyoumei",
-    "RadStorm04",
-    "JohnDoe42054",
-    "BillyHill",
     "humptynutz",
-    "emyth",
     "michael.isaza",
     "Kalnei",
-    "chriphost",
-    "KitKatM",
-    "socrasteeze",
-    "ResidentDeviant",
+    "Whitepinetrader",
+    "OrganicArtifact",
     "Scott",
-    "gzmzmvp",
-    "Welkor",
+    "MudkipMedkitz",
+    "deanbrian",
+    "POPPIN",
+    "Alex Wortman",
+    "Cody",
+    "Raku",
+    "smart.edge5178",
+    "emadsultan",
+    "InformedViewz",
+    "CHKeeho80",
+    "Bubbafett",
+    "leaf",
+    "Menard",
+    "Skyfire83",
+    "Adam Rinehart",
+    "D",
+    "Pitpe11",
+    "TheD1rtyD03",
+    "moonpetal",
+    "SomeDude",
+    "g9p0o",
+    "nanana",
+    "TheHolySheep",
+    "Monte Won",
+    "SpringBootisTrash",
+    "carsten",
+    "ikok",
+    "Buecyb99",
+    "4IXplr0r3r",
+    "dfklsjfkljslfjd",
     "hayden",
-    "Richard",
     "ahoystan",
     "Leland Saunders",
-    "Andrew",
+    "Wolfe7D1",
+    "Ink Temptation",
     "Bob Barker",
-    "Robert Wegemund",
-    "Littlehuggy",
-    "Gregory Kozhemiak",
-    "mrjuan",
+    "edk",
+    "Kalli Core",
     "Aeternyx",
-    "Brian Buie",
+    "elleshar666",
     "YOU SINWOO",
-    "Sadlip",
     "ja s",
-    "Eric Whitney",
     "Doug Mason",
-    "Joey Callahan",
-    "Ivan Tadic",
-    "y2Rxy7FdXzWo",
+    "Kauffy",
     "Jeremy Townsend",
-    "Mike Simone",
+    "EpicElric",
     "Sean voets",
     "Owen Gwosdz",
-    "Morgandel",
+    "John J Linehan",
+    "Elliot E",
     "Thomas Wanner",
-    "Kyron Mahan",
     "Theerat Jiramate",
-    "Noah",
-    "Jacob McDaniel",
+    "Edward Kennedy",
+    "Justin Blaylock",
+    "Devil Lude",
+    "Nick Kage",
     "kevin stoddard",
-    "Sloan Steddy",
     "Jack Dole",
+    "Vane Holzer",
+    "psytrax",
     "Ezokewn",
-    "Temikus",
-    "Artokun",
-    "Michael Taylor",
-    "Derek Baker",
-    "Michael Anthony Scott",
-    "Atilla Berke Pekduyar",
+    "hexxish",
+    "CptNeo",
+    "notedfakes",
     "Maso",
-    "Nathan",
-    "Decx _",
+    "Eric Ketchum",
+    "NICHOLAS BAXLEY",
+    "Michael Scott",
     "Kevin Wallace",
     "Matheus Couto",
-    "Paul Hartsuyker",
+    "Saya",
     "ChicRic",
     "mercur",
     "J C",
-    "Distortik",
+    "Ed Wang",
+    "Ryan Presley Ng",
+    "Wes Sims",
+    "Donor4115",
     "Yves Poezevara",
     "Teriak47",
     "Just me",
     "Raf Stahelin",
     "Вячеслав Маринин",
+    "Lyavph",
+    "Filippo Ferrari",
     "Cola Matthew",
     "OniNoKen",
     "Iain Wisely",
@@ -505,117 +568,100 @@
     "RevyHiep",
     "Captain_Swag",
     "obkircher",
-    "Tree Tagger",
     "gwyar",
     "D",
     "edgecase",
     "Neoxena",
     "mrmhalo",
     "dg",
-    "Whitepinetrader",
     "Maarten Harms",
-    "OrganicArtifact",
-    "四糸凜音",
-    "MudkipMedkitz",
     "Israel",
-    "deanbrian",
-    "POPPIN",
     "Muratoraccio",
     "SelfishMedic",
     "Ginnie",
-    "Alex Wortman",
-    "Cody",
     "adderleighn",
-    "Raku",
-    "smart.edge5178",
-    "emadsultan",
-    "InformedViewz",
-    "CHKeeho80",
-    "Bubbafett",
-    "leaf",
-    "Menard",
-    "Skyfire83",
-    "Adam Rinehart",
-    "D",
-    "Pitpe11",
-    "TheD1rtyD03",
     "EnragedAntelope",
-    "moonpetal",
-    "SomeDude",
-    "g9p0o",
-    "nanana",
-    "TheHolySheep",
-    "Monte Won",
-    "SpringBootisTrash",
-    "carsten",
-    "ikok",
-    "Buecyb99",
-    "4IXplr0r3r",
+    "Alan+Cano",
+    "FeralOpticsAI",
+    "Pavlaki",
+    "generic404",
+    "Mateusz+Kosela",
+    "Doug+Rintoul",
+    "Noor",
+    "Yorunai",
+    "Bula",
+    "quantenmecha",
+    "abattoirblues",
+    "Jason+Nash",
+    "BillyBoy84",
+    "DarkRoast",
+    "zounik",
+    "letzte",
+    "Nasty+Hobbit",
+    "SgtFluffles",
+    "lrdchs2",
+    "Duk3+Rand0m",
+    "KUJYAKU",
+    "NathenChoi",
+    "Thomas+Reck",
+    "Larses",
+    "cocona",
     "Coeur+de+cochon",
     "David Schenck",
     "han b",
     "Nico",
-    "Wolfe7D1",
     "Banana Joe",
     "_ G3n",
     "Donovan Jenkins",
-    "Ink Temptation",
-    "edk",
+    "JBsuede",
     "Michael Eid",
     "beersandbacon",
     "Maximilian Pyko",
     "Invis",
-    "Kalli Core",
     "Justin Houston",
+    "Time Valentine",
     "james",
-    "elleshar666",
     "OrochiNights",
     "Michael Zhu",
     "ACTUALLY_the_Real_Willem_Dafoe",
     "gonzalo",
     "Seraphy",
+    "Михал Михалыч",
     "雨の心 落",
+    "Matt",
     "AllTimeNoobie",
     "jumpd",
     "John C",
-    "Kauffy",
     "Rim",
     "Dismem",
-    "EpicElric",
-    "John J Linehan",
+    "Frogmilk",
+    "SPJ",
     "Xan Dionysus",
     "Nathan lee",
     "Mewtora",
-    "Elliot E",
     "Middo",
     "Forbidden Atelier",
-    "Edward Kennedy",
-    "Justin Blaylock",
+    "Bryan Rutkowski",
     "Adictedtohumping",
-    "Devil Lude",
-    "Nick Kage",
     "Towelie",
-    "Vane Holzer",
-    "psytrax",
     "Cyrus Fett",
     "Jean-françois SEMA",
     "Kurt",
-    "hexxish",
-    "giani kidd",
-    "CptNeo",
-    "notedfakes",
+    "max blo",
+    "Xenon Xue",
+    "JackJohnnyJim",
+    "Edward Ten Eyck",
     "Chase Kwon",
+    "Inyoshu",
     "Goober719",
-    "Eric Ketchum",
     "Chad Barnes",
-    "NICHOLAS BAXLEY",
-    "Michael Scott",
     "James Ming",
     "vanditking",
     "kripitonga",
     "Rizzi",
     "nimin",
     "OMAR LUCIANO",
+    "hannibal",
     "Jo+Example",
     "BrentBertram",
     "eumelzocker",
@@ -623,5 +669,5 @@
     "L C",
     "Dude"
   ],
-  "totalCount": 620
+  "totalCount": 666
 }

locales/de.json

@@ -263,7 +263,9 @@
             "videoSettings": "Video-Einstellungen",
             "layoutSettings": "Layout-Einstellungen",
             "misc": "Verschiedenes",
+            "backup": "Backups",
             "folderSettings": "Standard-Roots",
+            "recipeSettings": "Rezepte",
             "extraFolderPaths": "Zusätzliche Ordnerpfade",
             "downloadPathTemplates": "Download-Pfad-Vorlagen",
             "priorityTags": "Prioritäts-Tags",
@@ -323,6 +325,32 @@
                 "saveFailed": "Übersprungene Pfade konnten nicht gespeichert werden: {message}"
             }
         },
+        "backup": {
+            "autoEnabled": "Automatische Backups",
+            "autoEnabledHelp": "Erstellt einmal täglich einen lokalen Schnappschuss und behält die neuesten Schnappschüsse gemäß der Aufbewahrungsrichtlinie.",
+            "retention": "Aufbewahrungsanzahl",
+            "retentionHelp": "Wie viele automatische Schnappschüsse behalten werden, bevor ältere entfernt werden.",
+            "management": "Backup-Verwaltung",
+            "managementHelp": "Exportiere deinen aktuellen Benutzerstatus oder stelle ihn aus einem Backup-Archiv wieder her.",
+            "scopeHelp": "Sichert deine Einstellungen, den Downloadverlauf und den Status der Modellaktualisierung. Modelldateien und neu erzeugbare Caches sind nicht enthalten.",
+            "locationSummary": "Aktueller Backup-Speicherort",
+            "openFolderButton": "Backup-Ordner öffnen",
+            "openFolderSuccess": "Backup-Ordner geöffnet",
+            "openFolderFailed": "Backup-Ordner konnte nicht geöffnet werden",
+            "locationCopied": "Backup-Pfad in die Zwischenablage kopiert: {{path}}",
+            "locationClipboardFallback": "Backup-Pfad: {{path}}",
+            "exportButton": "Backup exportieren",
+            "exportSuccess": "Backup erfolgreich exportiert.",
+            "exportFailed": "Backup konnte nicht exportiert werden: {message}",
+            "importButton": "Backup importieren",
+            "importConfirm": "Dieses Backup importieren und den lokalen Benutzerstatus überschreiben?",
+            "importSuccess": "Backup erfolgreich importiert.",
+            "importFailed": "Backup konnte nicht importiert werden: {message}",
+            "latestSnapshot": "Neuester Schnappschuss",
+            "latestAutoSnapshot": "Neuester automatischer Schnappschuss",
+            "snapshotCount": "Gespeicherte Schnappschüsse",
+            "noneAvailable": "Noch keine Schnappschüsse vorhanden"
+        },
         "downloadSkipBaseModels": {
             "label": "Downloads für Basismodelle überspringen",
             "help": "Gilt für alle Download-Abläufe. Hier können nur unterstützte Basismodelle ausgewählt werden.",
@@ -341,6 +369,10 @@
                 "saveFailed": "Ausgeschlossene Basismodelle konnten nicht gespeichert werden: {message}"
             }
         },
+        "skipPreviouslyDownloadedModelVersions": {
+            "label": "Bereits heruntergeladene Modellversionen überspringen",
+            "help": "Wenn aktiviert, überspringt LoRA Manager den Download einer Modellversion, wenn der Download-Verlaufsdienst diese spezifische Version als bereits heruntergeladen erfasst hat. Gilt für alle Download-Abläufe."
+        },
         "layoutSettings": {
             "displayDensity": "Anzeige-Dichte",
             "displayDensityOptions": {
@@ -389,12 +421,16 @@
             "defaultUnetRootHelp": "Legen Sie den Standard-Diffusion-Modell-(UNET)-Stammordner für Downloads, Importe und Verschiebungen fest",
             "defaultEmbeddingRoot": "Embedding-Stammordner",
             "defaultEmbeddingRootHelp": "Legen Sie den Standard-Embedding-Stammordner für Downloads, Importe und Verschiebungen fest",
+            "recipesPath": "Rezepte-Speicherpfad",
+            "recipesPathHelp": "Optionales benutzerdefiniertes Verzeichnis für gespeicherte Rezepte. Leer lassen, um den recipes-Ordner im ersten LoRA-Stammverzeichnis zu verwenden.",
+            "recipesPathPlaceholder": "/path/to/recipes",
+            "recipesPathMigrating": "Rezepte-Speicher wird verschoben...",
             "noDefault": "Kein Standard"
         },
         "extraFolderPaths": {
             "title": "Zusätzliche Ordnerpfade",
-            "help": "Fügen Sie zusätzliche Modellordner außerhalb der Standardpfade von ComfyUI hinzu. Diese Pfade werden separat gespeichert und zusammen mit den Standardordnern gescannt.",
-            "description": "Konfigurieren Sie zusätzliche Ordner zum Scannen von Modellen. Diese Pfade sind spezifisch für LoRA Manager und werden mit den Standardpfaden von ComfyUI zusammengeführt.",
+            "description": "Zusätzliche Modellstammverzeichnisse, die ausschließlich für LoRA Manager gelten. Laden Sie Modelle von Speicherorten außerhalb der Standardordner von ComfyUI – ideal für große Bibliotheken, die ComfyUI sonst verlangsamen würden.",
+            "restartRequired": "Requires restart to take effect",
             "modelTypes": {
                 "lora": "LoRA-Pfade",
                 "checkpoint": "Checkpoint-Pfade",
@@ -402,7 +438,7 @@
                 "embedding": "Embedding-Pfade"
             },
             "pathPlaceholder": "/pfad/zu/extra/modellen",
-            "saveSuccess": "Zusätzliche Ordnerpfade aktualisiert.",
+            "saveSuccess": "Zusätzliche Ordnerpfade aktualisiert. Neustart erforderlich, um Änderungen anzuwenden.",
             "saveError": "Fehler beim Aktualisieren der zusätzlichen Ordnerpfade: {message}",
             "validation": {
                 "duplicatePath": "Dieser Pfad ist bereits konfiguriert"
@@ -827,7 +863,7 @@
         },
         "contextMenu": {
             "moveToOtherTypeFolder": "In {otherType}-Ordner verschieben",
-            "sendToWorkflow": "[TODO: Translate] Send to Workflow"
+            "sendToWorkflow": "An Workflow senden"
         }
     },
     "embeddings": {
@@ -921,6 +957,8 @@
             "earlyAccess": "Early Access",
             "earlyAccessTooltip": "Early Access erforderlich",
             "inLibrary": "In Bibliothek",
+            "downloaded": "Heruntergeladen",
+            "downloadedTooltip": "Zuvor heruntergeladen, aber derzeit nicht in Ihrer Bibliothek.",
             "alreadyInLibrary": "Bereits in Bibliothek",
             "autoOrganizedPath": "[Automatisch organisiert durch Pfadvorlage]",
             "errors": {
@@ -1190,17 +1228,30 @@
                     "days": "in {count}d"
                 },
                 "badges": {
-                    "current": "Aktuelle Version",
+                    "current": "Geöffnete Version",
+                    "currentTooltip": "Das ist die Version, mit der dieses Modal geöffnet wurde",
                     "inLibrary": "In der Bibliothek",
+                    "inLibraryTooltip": "Diese Version befindet sich in Ihrer lokalen Bibliothek",
+                    "downloaded": "Heruntergeladen",
+                    "downloadedTooltip": "Diese Version wurde bereits heruntergeladen, befindet sich aber derzeit nicht in Ihrer Bibliothek",
                     "newer": "Neuere Version",
+                    "newerTooltip": "Diese Version ist neuer als Ihre neueste lokale Version",
                     "earlyAccess": "Früher Zugriff",
-                    "ignored": "Ignoriert"
+                    "earlyAccessTooltip": "Für diese Version ist derzeit Civitai Early Access erforderlich",
+                    "ignored": "Ignoriert",
+                    "ignoredTooltip": "Für diese Version sind Update-Benachrichtigungen deaktiviert"
                 },
                 "actions": {
                     "download": "Herunterladen",
+                    "downloadTooltip": "Diese Version herunterladen",
+                    "downloadEarlyAccessTooltip": "Diese Early-Access-Version von Civitai herunterladen",
                     "delete": "Löschen",
+                    "deleteTooltip": "Diese lokale Version löschen",
                     "ignore": "Ignorieren",
                     "unignore": "Ignorierung aufheben",
+                    "ignoreTooltip": "Update-Benachrichtigungen für diese Version ignorieren",
+                    "unignoreTooltip": "Update-Benachrichtigungen für diese Version fortsetzen",
+                    "viewVersionOnCivitai": "Version auf Civitai anzeigen",
                     "earlyAccessTooltip": "Erfordert Early-Access-Kauf",
                     "resumeModelUpdates": "Aktualisierungen für dieses Modell fortsetzen",
                     "ignoreModelUpdates": "Aktualisierungen für dieses Modell ignorieren",
@@ -1625,6 +1676,8 @@
             "mappingSaveFailed": "Fehler beim Speichern der Basis-Modell-Zuordnungen: {message}",
             "downloadTemplatesUpdated": "Download-Pfad-Vorlagen aktualisiert",
             "downloadTemplatesFailed": "Fehler beim Speichern der Download-Pfad-Vorlagen: {message}",
+            "recipesPathUpdated": "Rezepte-Speicherpfad aktualisiert",
+            "recipesPathSaveFailed": "Fehler beim Aktualisieren des Rezepte-Speicherpfads: {message}",
             "settingsUpdated": "Einstellungen aktualisiert: {setting}",
             "compactModeToggled": "Kompakt-Modus {state}",
             "settingSaveFailed": "Fehler beim Speichern der Einstellung: {message}",
@@ -1768,6 +1821,35 @@
             "moveFailed": "Failed to move item: {message}"
         }
     },
+    "doctor": {
+        "kicker": "Systemdiagnose",
+        "title": "Doktor",
+        "buttonTitle": "Diagnose und häufige Fehlerbehebungen ausführen",
+        "loading": "Umgebung wird geprüft...",
+        "footer": "Exportiere ein Diagnosepaket, falls das Problem nach der Reparatur weiterhin besteht.",
+        "summary": {
+            "idle": "Führe eine Überprüfung von Einstellungen, Cache-Integrität und UI-Konsistenz durch.",
+            "ok": "Keine aktiven Probleme wurden in der aktuellen Umgebung gefunden.",
+            "warning": "{count} Problem(e) wurden gefunden. Die meisten lassen sich direkt über dieses Panel beheben.",
+            "error": "Bevor die App vollständig fehlerfrei ist, müssen {count} Problem(e) behoben werden."
+        },
+        "status": {
+            "ok": "Gesund",
+            "warning": "Handlungsbedarf",
+            "error": "Aktion erforderlich"
+        },
+        "actions": {
+            "runAgain": "Erneut ausführen",
+            "exportBundle": "Paket exportieren"
+        },
+        "toast": {
+            "loadFailed": "Diagnose konnte nicht geladen werden: {message}",
+            "repairSuccess": "Cache-Neuaufbau abgeschlossen.",
+            "repairFailed": "Cache-Neuaufbau fehlgeschlagen: {message}",
+            "exportSuccess": "Diagnosepaket exportiert.",
+            "exportFailed": "Export des Diagnosepakets fehlgeschlagen: {message}"
+        }
+    },
     "banners": {
         "versionMismatch": {
             "title": "Anwendungs-Update erkannt",

locales/en.json

@@ -263,7 +263,9 @@
             "videoSettings": "Video Settings",
             "layoutSettings": "Layout Settings",
             "misc": "Miscellaneous",
+            "backup": "Backups",
             "folderSettings": "Default Roots",
+            "recipeSettings": "Recipes",
             "extraFolderPaths": "Extra Folder Paths",
             "downloadPathTemplates": "Download Path Templates",
             "priorityTags": "Priority Tags",
@@ -323,9 +325,35 @@
                 "saveFailed": "Unable to save skip paths: {message}"
             }
         },
+        "backup": {
+            "autoEnabled": "Automatic backups",
+            "autoEnabledHelp": "Create a local snapshot once per day and keep the latest snapshots according to the retention policy.",
+            "retention": "Retention count",
+            "retentionHelp": "How many automatic snapshots to keep before older ones are pruned.",
+            "management": "Backup management",
+            "managementHelp": "Export your current user state or restore it from a backup archive.",
+            "scopeHelp": "Backs up your settings, download history, and model update state. It does not include model files or rebuildable caches.",
+            "locationSummary": "Current backup location",
+            "openFolderButton": "Open backup folder",
+            "openFolderSuccess": "Opened backup folder",
+            "openFolderFailed": "Failed to open backup folder",
+            "locationCopied": "Backup path copied to clipboard: {{path}}",
+            "locationClipboardFallback": "Backup path: {{path}}",
+            "exportButton": "Export backup",
+            "exportSuccess": "Backup exported successfully.",
+            "exportFailed": "Failed to export backup: {message}",
+            "importButton": "Import backup",
+            "importConfirm": "Import this backup and overwrite local user state?",
+            "importSuccess": "Backup imported successfully.",
+            "importFailed": "Failed to import backup: {message}",
+            "latestSnapshot": "Latest snapshot",
+            "latestAutoSnapshot": "Latest automatic snapshot",
+            "snapshotCount": "Saved snapshots",
+            "noneAvailable": "No snapshots yet"
+        },
         "downloadSkipBaseModels": {
             "label": "Skip downloads for base models",
-            "help": "When a model version uses one of these base models, LoRA Manager will skip the download before any file transfer starts. Applies to all download flows. Only supported base models can be selected here.",
+            "help": "When enabled, versions using the selected base models will be skipped.",
             "searchPlaceholder": "Filter base models...",
             "empty": "No base models match the current search.",
             "summary": {
@@ -341,6 +369,10 @@
                 "saveFailed": "Unable to save excluded base models: {message}"
             }
         },
+        "skipPreviouslyDownloadedModelVersions": {
+            "label": "Skip previously downloaded model versions",
+            "help": "When enabled, versions downloaded before will be skipped."
+        },
         "layoutSettings": {
             "displayDensity": "Display Density",
             "displayDensityOptions": {
@@ -389,12 +421,16 @@
             "defaultUnetRootHelp": "Set default diffusion model (UNET) root directory for downloads, imports and moves",
             "defaultEmbeddingRoot": "Embedding Root",
             "defaultEmbeddingRootHelp": "Set default embedding root directory for downloads, imports and moves",
+            "recipesPath": "Recipes Storage Path",
+            "recipesPathHelp": "Optional custom directory for stored recipes. Leave empty to use the first LoRA root's recipes folder.",
+            "recipesPathPlaceholder": "/path/to/recipes",
+            "recipesPathMigrating": "Migrating recipes storage...",
             "noDefault": "No Default"
         },
         "extraFolderPaths": {
             "title": "Extra Folder Paths",
-            "help": "Add additional model folders outside of ComfyUI's standard paths. These paths are stored separately and scanned alongside the default folders.",
-            "description": "Configure additional folders to scan for models. These paths are specific to LoRA Manager and will be merged with ComfyUI's default paths.",
+            "description": "Additional model root paths exclusive to LoRA Manager. Load models from locations outside ComfyUI's standard folders—ideal for large libraries that would otherwise slow down ComfyUI.",
+            "restartRequired": "Requires restart to take effect",
             "modelTypes": {
                 "lora": "LoRA Paths",
                 "checkpoint": "Checkpoint Paths",
@@ -402,7 +438,7 @@
                 "embedding": "Embedding Paths"
             },
             "pathPlaceholder": "/path/to/extra/models",
-            "saveSuccess": "Extra folder paths updated.",
+            "saveSuccess": "Extra folder paths updated. Restart required to apply changes.",
             "saveError": "Failed to update extra folder paths: {message}",
             "validation": {
                 "duplicatePath": "This path is already configured"
@@ -921,6 +957,8 @@
             "earlyAccess": "Early Access",
             "earlyAccessTooltip": "Early access required",
             "inLibrary": "In Library",
+            "downloaded": "Downloaded",
+            "downloadedTooltip": "Previously downloaded, but it is not currently in your library.",
             "alreadyInLibrary": "Already in Library",
             "autoOrganizedPath": "[Auto-organized by path template]",
             "errors": {
@@ -1190,17 +1228,30 @@
                     "days": "in {count}d"
                 },
                 "badges": {
-                    "current": "Current Version",
+                    "current": "Opened Version",
+                    "currentTooltip": "This is the version you opened this modal from",
                     "inLibrary": "In Library",
+                    "inLibraryTooltip": "This version exists in your local library",
+                    "downloaded": "Downloaded",
+                    "downloadedTooltip": "This version was downloaded before, but is not currently in your library",
                     "newer": "Newer Version",
+                    "newerTooltip": "This version is newer than your latest local version",
                     "earlyAccess": "Early Access",
-                    "ignored": "Ignored"
+                    "earlyAccessTooltip": "This version currently requires Civitai early access",
+                    "ignored": "Ignored",
+                    "ignoredTooltip": "Update notifications are disabled for this version"
                 },
                 "actions": {
                     "download": "Download",
+                    "downloadTooltip": "Download this version",
+                    "downloadEarlyAccessTooltip": "Download this early access version from Civitai",
                     "delete": "Delete",
+                    "deleteTooltip": "Delete this local version",
                     "ignore": "Ignore",
                     "unignore": "Unignore",
+                    "ignoreTooltip": "Ignore update notifications for this version",
+                    "unignoreTooltip": "Resume update notifications for this version",
+                    "viewVersionOnCivitai": "View version on Civitai",
                     "earlyAccessTooltip": "Requires early access purchase",
                     "resumeModelUpdates": "Resume updates for this model",
                     "ignoreModelUpdates": "Ignore updates for this model",
@@ -1625,6 +1676,8 @@
             "mappingSaveFailed": "Failed to save base model mappings: {message}",
             "downloadTemplatesUpdated": "Download path templates updated",
             "downloadTemplatesFailed": "Failed to save download path templates: {message}",
+            "recipesPathUpdated": "Recipes storage path updated",
+            "recipesPathSaveFailed": "Failed to update recipes storage path: {message}",
             "settingsUpdated": "Settings updated: {setting}",
             "compactModeToggled": "Compact Mode {state}",
             "settingSaveFailed": "Failed to save setting: {message}",
@@ -1768,6 +1821,35 @@
             "moveFailed": "Failed to move item: {message}"
         }
     },
+    "doctor": {
+        "kicker": "System diagnostics",
+        "title": "Doctor",
+        "buttonTitle": "Run diagnostics and common fixes",
+        "loading": "Checking environment...",
+        "footer": "Export a diagnostics bundle if the issue still persists after repair.",
+        "summary": {
+            "idle": "Run a health check for settings, cache integrity, and UI consistency.",
+            "ok": "No active issues were found in the current environment.",
+            "warning": "{count} issue(s) were found. Most can be fixed directly from this panel.",
+            "error": "{count} issue(s) need attention before the app is fully healthy."
+        },
+        "status": {
+            "ok": "Healthy",
+            "warning": "Needs Attention",
+            "error": "Action Required"
+        },
+        "actions": {
+            "runAgain": "Run Again",
+            "exportBundle": "Export Bundle"
+        },
+        "toast": {
+            "loadFailed": "Failed to load diagnostics: {message}",
+            "repairSuccess": "Cache rebuild completed.",
+            "repairFailed": "Cache rebuild failed: {message}",
+            "exportSuccess": "Diagnostics bundle exported.",
+            "exportFailed": "Failed to export diagnostics bundle: {message}"
+        }
+    },
     "banners": {
         "versionMismatch": {
             "title": "Application Update Detected",

locales/es.json

@@ -263,7 +263,9 @@
             "videoSettings": "Configuración de video",
             "layoutSettings": "Configuración de diseño",
             "misc": "Varios",
+            "backup": "Copias de seguridad",
             "folderSettings": "Raíces predeterminadas",
+            "recipeSettings": "Recetas",
             "extraFolderPaths": "Rutas de carpetas adicionales",
             "downloadPathTemplates": "Plantillas de rutas de descarga",
             "priorityTags": "Etiquetas prioritarias",
@@ -323,6 +325,32 @@
                 "saveFailed": "No se pudieron guardar las rutas a omitir: {message}"
             }
         },
+        "backup": {
+            "autoEnabled": "Copias de seguridad automáticas",
+            "autoEnabledHelp": "Crea una instantánea local una vez al día y conserva las más recientes según la política de retención.",
+            "retention": "Cantidad de retención",
+            "retentionHelp": "Cuántas instantáneas automáticas conservar antes de eliminar las antiguas.",
+            "management": "Gestión de copias",
+            "managementHelp": "Exporta tu estado de usuario actual o restáuralo desde un archivo de copia de seguridad.",
+            "scopeHelp": "Incluye tu configuración, el historial de descargas y el estado de actualización de los modelos. No incluye los archivos de modelo ni las cachés que se pueden regenerar.",
+            "locationSummary": "Ubicación actual de la copia",
+            "openFolderButton": "Abrir carpeta de copias",
+            "openFolderSuccess": "Carpeta de copias abierta",
+            "openFolderFailed": "No se pudo abrir la carpeta de copias",
+            "locationCopied": "Ruta de la copia copiada al portapapeles: {{path}}",
+            "locationClipboardFallback": "Ruta de la copia: {{path}}",
+            "exportButton": "Exportar copia",
+            "exportSuccess": "Copia exportada correctamente.",
+            "exportFailed": "No se pudo exportar la copia: {message}",
+            "importButton": "Importar copia",
+            "importConfirm": "¿Importar esta copia y sobrescribir el estado local del usuario?",
+            "importSuccess": "Copia importada correctamente.",
+            "importFailed": "No se pudo importar la copia: {message}",
+            "latestSnapshot": "Última instantánea",
+            "latestAutoSnapshot": "Última instantánea automática",
+            "snapshotCount": "Instantáneas guardadas",
+            "noneAvailable": "Aún no hay instantáneas"
+        },
         "downloadSkipBaseModels": {
             "label": "Omitir descargas para modelos base",
             "help": "Se aplica a todos los flujos de descarga. Aquí solo se pueden seleccionar modelos base compatibles.",
@@ -341,6 +369,10 @@
                 "saveFailed": "No se pudieron guardar los modelos base excluidos: {message}"
             }
         },
+        "skipPreviouslyDownloadedModelVersions": {
+            "label": "Omitir versiones de modelos previamente descargadas",
+            "help": "Cuando está habilitado, LoRA Manager omitirá la descarga de una versión de modelo si el servicio de historial de descargas registra esa versión exacta como ya descargada. Aplica a todos los flujos de descarga."
+        },
         "layoutSettings": {
             "displayDensity": "Densidad de visualización",
             "displayDensityOptions": {
@@ -389,12 +421,16 @@
             "defaultUnetRootHelp": "Establecer el directorio raíz predeterminado de Diffusion Model (UNET) para descargas, importaciones y movimientos",
             "defaultEmbeddingRoot": "Raíz de embedding",
             "defaultEmbeddingRootHelp": "Establecer el directorio raíz predeterminado de embedding para descargas, importaciones y movimientos",
+            "recipesPath": "Ruta de almacenamiento de recetas",
+            "recipesPathHelp": "Directorio personalizado opcional para las recetas guardadas. Déjalo vacío para usar la carpeta recipes del primer directorio raíz de LoRA.",
+            "recipesPathPlaceholder": "/path/to/recipes",
+            "recipesPathMigrating": "Migrando el almacenamiento de recetas...",
             "noDefault": "Sin predeterminado"
         },
         "extraFolderPaths": {
             "title": "Rutas de carpetas adicionales",
-            "help": "Agregue carpetas de modelos adicionales fuera de las rutas estándar de ComfyUI. Estas rutas se almacenan por separado y se escanean junto con las carpetas predeterminadas.",
-            "description": "Configure carpetas adicionales para escanear modelos. Estas rutas son específicas de LoRA Manager y se fusionarán con las rutas predeterminadas de ComfyUI.",
+            "description": "Rutas raíz de modelos adicionales exclusivas para LoRA Manager. Cargue modelos desde ubicaciones fuera de las carpetas estándar de ComfyUI, ideal para bibliotecas grandes que de otro modo ralentizarían ComfyUI.",
+            "restartRequired": "Requires restart to take effect",
             "modelTypes": {
                 "lora": "Rutas de LoRA",
                 "checkpoint": "Rutas de Checkpoint",
@@ -402,7 +438,7 @@
                 "embedding": "Rutas de Embedding"
             },
             "pathPlaceholder": "/ruta/a/modelos/extra",
-            "saveSuccess": "Rutas de carpetas adicionales actualizadas.",
+            "saveSuccess": "Rutas de carpetas adicionales actualizadas. Se requiere reinicio para aplicar los cambios.",
             "saveError": "Error al actualizar las rutas de carpetas adicionales: {message}",
             "validation": {
                 "duplicatePath": "Esta ruta ya está configurada"
@@ -827,7 +863,7 @@
         },
         "contextMenu": {
             "moveToOtherTypeFolder": "Mover a la carpeta {otherType}",
-            "sendToWorkflow": "[TODO: Translate] Send to Workflow"
+            "sendToWorkflow": "Enviar al flujo de trabajo"
         }
     },
     "embeddings": {
@@ -921,6 +957,8 @@
             "earlyAccess": "Acceso temprano",
             "earlyAccessTooltip": "Acceso temprano requerido",
             "inLibrary": "En la biblioteca",
+            "downloaded": "Descargado",
+            "downloadedTooltip": "Descargado anteriormente, pero actualmente no está en tu biblioteca.",
             "alreadyInLibrary": "Ya en la biblioteca",
             "autoOrganizedPath": "[Auto-organizado por plantilla de ruta]",
             "errors": {
@@ -1190,17 +1228,30 @@
                     "days": "en {count}d"
                 },
                 "badges": {
-                    "current": "Versión actual",
+                    "current": "Versión abierta",
+                    "currentTooltip": "Es la versión con la que abriste este modal",
                     "inLibrary": "En la biblioteca",
+                    "inLibraryTooltip": "Esta versión existe en tu biblioteca local",
+                    "downloaded": "Descargado",
+                    "downloadedTooltip": "Esta versión se descargó antes, pero ahora no está en tu biblioteca",
                     "newer": "Versión más reciente",
+                    "newerTooltip": "Esta versión es más reciente que tu última versión local",
                     "earlyAccess": "Acceso temprano",
-                    "ignored": "Ignorada"
+                    "earlyAccessTooltip": "Esta versión requiere actualmente acceso temprano de Civitai",
+                    "ignored": "Ignorada",
+                    "ignoredTooltip": "Las notificaciones de actualización están desactivadas para esta versión"
                 },
                 "actions": {
                     "download": "Descargar",
+                    "downloadTooltip": "Descargar esta versión",
+                    "downloadEarlyAccessTooltip": "Descargar esta versión de acceso temprano desde Civitai",
                     "delete": "Eliminar",
+                    "deleteTooltip": "Eliminar esta versión local",
                     "ignore": "Ignorar",
                     "unignore": "Dejar de ignorar",
+                    "ignoreTooltip": "Ignorar las notificaciones de actualización de esta versión",
+                    "unignoreTooltip": "Reanudar las notificaciones de actualización de esta versión",
+                    "viewVersionOnCivitai": "Ver versión en Civitai",
                     "earlyAccessTooltip": "Requiere compra de acceso temprano",
                     "resumeModelUpdates": "Reanudar actualizaciones para este modelo",
                     "ignoreModelUpdates": "Ignorar actualizaciones para este modelo",
@@ -1625,6 +1676,8 @@
             "mappingSaveFailed": "Error al guardar mapeos de modelo base: {message}",
             "downloadTemplatesUpdated": "Plantillas de rutas de descarga actualizadas",
             "downloadTemplatesFailed": "Error al guardar plantillas de rutas de descarga: {message}",
+            "recipesPathUpdated": "Ruta de almacenamiento de recetas actualizada",
+            "recipesPathSaveFailed": "Error al actualizar la ruta de almacenamiento de recetas: {message}",
             "settingsUpdated": "Configuración actualizada: {setting}",
             "compactModeToggled": "Modo compacto {state}",
             "settingSaveFailed": "Error al guardar configuración: {message}",
@@ -1768,6 +1821,35 @@
             "moveFailed": "Failed to move item: {message}"
         }
     },
+    "doctor": {
+        "kicker": "Diagnósticos del sistema",
+        "title": "Doctor",
+        "buttonTitle": "Ejecutar diagnósticos y correcciones comunes",
+        "loading": "Comprobando el entorno...",
+        "footer": "Exporta un paquete de diagnóstico si el problema persiste después de la reparación.",
+        "summary": {
+            "idle": "Ejecuta una comprobación del estado de la configuración, la integridad de la caché y la coherencia de la interfaz.",
+            "ok": "No se encontraron problemas activos en el entorno actual.",
+            "warning": "Se encontraron {count} problema(s). La mayoría se puede solucionar directamente desde este panel.",
+            "error": "Se encontraron {count} problema(s). Deben atenderse antes de que la aplicación esté completamente saludable."
+        },
+        "status": {
+            "ok": "Saludable",
+            "warning": "Requiere atención",
+            "error": "Se requiere acción"
+        },
+        "actions": {
+            "runAgain": "Ejecutar de nuevo",
+            "exportBundle": "Exportar paquete"
+        },
+        "toast": {
+            "loadFailed": "Error al cargar los diagnósticos: {message}",
+            "repairSuccess": "Reconstrucción de caché completada.",
+            "repairFailed": "Error al reconstruir la caché: {message}",
+            "exportSuccess": "Paquete de diagnósticos exportado.",
+            "exportFailed": "Error al exportar el paquete de diagnósticos: {message}"
+        }
+    },
     "banners": {
         "versionMismatch": {
             "title": "Actualización de la aplicación detectada",

locales/fr.json

@@ -263,7 +263,9 @@
             "videoSettings": "Paramètres vidéo",
             "layoutSettings": "Paramètres d'affichage",
             "misc": "Divers",
+            "backup": "Sauvegardes",
             "folderSettings": "Racines par défaut",
+            "recipeSettings": "Recipes",
             "extraFolderPaths": "Chemins de dossiers supplémentaires",
             "downloadPathTemplates": "Modèles de chemin de téléchargement",
             "priorityTags": "Étiquettes prioritaires",
@@ -323,6 +325,32 @@
                 "saveFailed": "Impossible d'enregistrer les chemins à ignorer : {message}"
             }
         },
+        "backup": {
+            "autoEnabled": "Sauvegardes automatiques",
+            "autoEnabledHelp": "Crée un instantané local une fois par jour et conserve les plus récents selon la politique de rétention.",
+            "retention": "Nombre de rétention",
+            "retentionHelp": "Combien d'instantanés automatiques conserver avant de supprimer les plus anciens.",
+            "management": "Gestion des sauvegardes",
+            "managementHelp": "Exporte l'état actuel de l'utilisateur ou restaure-le depuis une archive de sauvegarde.",
+            "scopeHelp": "Inclut vos paramètres, l'historique des téléchargements et l'état des mises à jour des modèles. Les fichiers de modèle et les caches régénérables ne sont pas inclus.",
+            "locationSummary": "Emplacement actuel des sauvegardes",
+            "openFolderButton": "Ouvrir le dossier de sauvegarde",
+            "openFolderSuccess": "Dossier de sauvegarde ouvert",
+            "openFolderFailed": "Impossible d'ouvrir le dossier de sauvegarde",
+            "locationCopied": "Chemin de sauvegarde copié dans le presse-papiers : {{path}}",
+            "locationClipboardFallback": "Chemin de sauvegarde : {{path}}",
+            "exportButton": "Exporter la sauvegarde",
+            "exportSuccess": "Sauvegarde exportée avec succès.",
+            "exportFailed": "Échec de l'export de la sauvegarde : {message}",
+            "importButton": "Importer la sauvegarde",
+            "importConfirm": "Importer cette sauvegarde et écraser l'état local de l'utilisateur ?",
+            "importSuccess": "Sauvegarde importée avec succès.",
+            "importFailed": "Échec de l'import de la sauvegarde : {message}",
+            "latestSnapshot": "Dernier instantané",
+            "latestAutoSnapshot": "Dernier instantané automatique",
+            "snapshotCount": "Instantanés enregistrés",
+            "noneAvailable": "Aucun instantané pour le moment"
+        },
         "downloadSkipBaseModels": {
             "label": "Ignorer les téléchargements pour certains modèles de base",
             "help": "S’applique à tous les flux de téléchargement. Seuls les modèles de base pris en charge peuvent être sélectionnés ici.",
@@ -341,6 +369,10 @@
                 "saveFailed": "Impossible d’enregistrer les modèles de base exclus : {message}"
             }
         },
+        "skipPreviouslyDownloadedModelVersions": {
+            "label": "Ignorer les versions de modèles précédemment téléchargées",
+            "help": "Lorsque activé, LoRA Manager ignorera le téléchargement d'une version de modèle si le service d'historique des téléchargements enregistre cette version exacte comme déjà téléchargée. S'applique à tous les flux de téléchargement."
+        },
         "layoutSettings": {
             "displayDensity": "Densité d'affichage",
             "displayDensityOptions": {
@@ -389,12 +421,16 @@
             "defaultUnetRootHelp": "Définir le répertoire racine Diffusion Model (UNET) par défaut pour les téléchargements, imports et déplacements",
             "defaultEmbeddingRoot": "Racine Embedding",
             "defaultEmbeddingRootHelp": "Définir le répertoire racine embedding par défaut pour les téléchargements, imports et déplacements",
+            "recipesPath": "Recipes Storage Path",
+            "recipesPathHelp": "Optional custom directory for stored recipes. Leave empty to use the first LoRA root's recipes folder.",
+            "recipesPathPlaceholder": "/path/to/recipes",
+            "recipesPathMigrating": "Migrating recipes storage...",
             "noDefault": "Aucun par défaut"
         },
         "extraFolderPaths": {
             "title": "Chemins de dossiers supplémentaires",
-            "help": "Ajoutez des dossiers de modèles supplémentaires en dehors des chemins standard de ComfyUI. Ces chemins sont stockés séparément et analysés aux côtés des dossiers par défaut.",
-            "description": "Configurez des dossiers supplémentaires pour l'analyse de modèles. Ces chemins sont spécifiques à LoRA Manager et seront fusionnés avec les chemins par défaut de ComfyUI.",
+            "description": "Chemins racine de modèles supplémentaires exclusifs à LoRA Manager. Chargez des modèles depuis des emplacements en dehors des dossiers standard de ComfyUI, idéal pour les grandes bibliothèques qui ralentiraient autrement ComfyUI.",
+            "restartRequired": "Requires restart to take effect",
             "modelTypes": {
                 "lora": "Chemins LoRA",
                 "checkpoint": "Chemins Checkpoint",
@@ -402,7 +438,7 @@
                 "embedding": "Chemins Embedding"
             },
             "pathPlaceholder": "/chemin/vers/modèles/supplémentaires",
-            "saveSuccess": "Chemins de dossiers supplémentaires mis à jour.",
+            "saveSuccess": "Chemins de dossiers supplémentaires mis à jour. Redémarrage requis pour appliquer les changements.",
             "saveError": "Échec de la mise à jour des chemins de dossiers supplémentaires: {message}",
             "validation": {
                 "duplicatePath": "Ce chemin est déjà configuré"
@@ -827,7 +863,7 @@
         },
         "contextMenu": {
             "moveToOtherTypeFolder": "Déplacer vers le dossier {otherType}",
-            "sendToWorkflow": "[TODO: Translate] Send to Workflow"
+            "sendToWorkflow": "Envoyer vers le workflow"
         }
     },
     "embeddings": {
@@ -921,6 +957,8 @@
             "earlyAccess": "Accès anticipé",
             "earlyAccessTooltip": "Accès anticipé requis",
             "inLibrary": "Dans la bibliothèque",
+            "downloaded": "Téléchargé",
+            "downloadedTooltip": "Déjà téléchargé, mais il n'est actuellement pas dans votre bibliothèque.",
             "alreadyInLibrary": "Déjà dans la bibliothèque",
             "autoOrganizedPath": "[Auto-organisé par modèle de chemin]",
             "errors": {
@@ -1190,17 +1228,30 @@
                     "days": "dans {count}j"
                 },
                 "badges": {
-                    "current": "Version actuelle",
+                    "current": "Version ouverte",
+                    "currentTooltip": "C'est la version à partir de laquelle cette fenêtre a été ouverte",
                     "inLibrary": "Dans la bibliothèque",
+                    "inLibraryTooltip": "Cette version existe dans votre bibliothèque locale",
+                    "downloaded": "Téléchargé",
+                    "downloadedTooltip": "Cette version a déjà été téléchargée, mais n'est pas actuellement dans votre bibliothèque",
                     "newer": "Version plus récente",
+                    "newerTooltip": "Cette version est plus récente que votre dernière version locale",
                     "earlyAccess": "Accès anticipé",
-                    "ignored": "Ignorée"
+                    "earlyAccessTooltip": "Cette version nécessite actuellement l'accès anticipé Civitai",
+                    "ignored": "Ignorée",
+                    "ignoredTooltip": "Les notifications de mise à jour sont désactivées pour cette version"
                 },
                 "actions": {
                     "download": "Télécharger",
+                    "downloadTooltip": "Télécharger cette version",
+                    "downloadEarlyAccessTooltip": "Télécharger cette version en accès anticipé depuis Civitai",
                     "delete": "Supprimer",
+                    "deleteTooltip": "Supprimer cette version locale",
                     "ignore": "Ignorer",
                     "unignore": "Ne plus ignorer",
+                    "ignoreTooltip": "Ignorer les notifications de mise à jour pour cette version",
+                    "unignoreTooltip": "Reprendre les notifications de mise à jour pour cette version",
+                    "viewVersionOnCivitai": "Voir la version sur Civitai",
                     "earlyAccessTooltip": "Nécessite l'achat de l'accès anticipé",
                     "resumeModelUpdates": "Reprendre les mises à jour pour ce modèle",
                     "ignoreModelUpdates": "Ignorer les mises à jour pour ce modèle",
@@ -1625,6 +1676,8 @@
             "mappingSaveFailed": "Échec de la sauvegarde des mappages de modèle de base : {message}",
             "downloadTemplatesUpdated": "Modèles de chemin de téléchargement mis à jour",
             "downloadTemplatesFailed": "Échec de la sauvegarde des modèles de chemin de téléchargement : {message}",
+            "recipesPathUpdated": "Recipes storage path updated",
+            "recipesPathSaveFailed": "Failed to update recipes storage path: {message}",
             "settingsUpdated": "Paramètres mis à jour : {setting}",
             "compactModeToggled": "Mode compact {state}",
             "settingSaveFailed": "Échec de la sauvegarde du paramètre : {message}",
@@ -1768,6 +1821,35 @@
             "moveFailed": "Failed to move item: {message}"
         }
     },
+    "doctor": {
+        "kicker": "Diagnostics système",
+        "title": "Docteur",
+        "buttonTitle": "Lancer les diagnostics et les corrections courantes",
+        "loading": "Vérification de l'environnement...",
+        "footer": "Exportez un lot de diagnostic si le problème persiste après la réparation.",
+        "summary": {
+            "idle": "Lancez une vérification de l'état des paramètres, de l'intégrité du cache et de la cohérence de l'interface.",
+            "ok": "Aucun problème actif n'a été trouvé dans l'environnement actuel.",
+            "warning": "{count} problème(s) ont été trouvés. La plupart peuvent être corrigés directement depuis ce panneau.",
+            "error": "{count} problème(s) nécessitent une attention avant que l'application soit entièrement saine."
+        },
+        "status": {
+            "ok": "Sain",
+            "warning": "Nécessite une attention",
+            "error": "Action requise"
+        },
+        "actions": {
+            "runAgain": "Relancer",
+            "exportBundle": "Exporter le lot"
+        },
+        "toast": {
+            "loadFailed": "Échec du chargement des diagnostics : {message}",
+            "repairSuccess": "Reconstruction du cache terminée.",
+            "repairFailed": "Échec de la reconstruction du cache : {message}",
+            "exportSuccess": "Lot de diagnostics exporté.",
+            "exportFailed": "Échec de l'export du lot de diagnostics : {message}"
+        }
+    },
     "banners": {
         "versionMismatch": {
             "title": "Mise à jour de l'application détectée",

locales/he.json

@@ -263,7 +263,9 @@
             "videoSettings": "הגדרות וידאו",
             "layoutSettings": "הגדרות פריסה",
             "misc": "שונות",
+            "backup": "גיבויים",
             "folderSettings": "תיקיות ברירת מחדל",
+            "recipeSettings": "מתכונים",
             "extraFolderPaths": "נתיבי תיקיות נוספים",
             "downloadPathTemplates": "תבניות נתיב הורדה",
             "priorityTags": "תגיות עדיפות",
@@ -323,6 +325,32 @@
                 "saveFailed": "לא ניתן לשמור נתיבי דילוג: {message}"
             }
         },
+        "backup": {
+            "autoEnabled": "גיבויים אוטומטיים",
+            "autoEnabledHelp": "יוצר צילום מצב מקומי פעם ביום ושומר את הצילומים האחרונים לפי מדיניות השמירה.",
+            "retention": "כמות שמירה",
+            "retentionHelp": "כמה צילומי מצב אוטומטיים לשמור לפני שמסירים ישנים.",
+            "management": "ניהול גיבויים",
+            "managementHelp": "ייצא את מצב המשתמש הנוכחי או שחזר אותו מארכיון גיבוי.",
+            "scopeHelp": "כולל את ההגדרות שלך, היסטוריית ההורדות ומצב עדכוני המודלים. אינו כולל קובצי מודל או מטמונים שניתן לשחזר.",
+            "locationSummary": "מיקום הגיבוי הנוכחי",
+            "openFolderButton": "פתח את תיקיית הגיבויים",
+            "openFolderSuccess": "תיקיית הגיבויים נפתחה",
+            "openFolderFailed": "לא ניתן היה לפתוח את תיקיית הגיבויים",
+            "locationCopied": "נתיב הגיבוי הועתק ללוח: {{path}}",
+            "locationClipboardFallback": "נתיב הגיבוי: {{path}}",
+            "exportButton": "ייצא גיבוי",
+            "exportSuccess": "הגיבוי יוצא בהצלחה.",
+            "exportFailed": "נכשל ייצוא הגיבוי: {message}",
+            "importButton": "ייבא גיבוי",
+            "importConfirm": "לייבא את הגיבוי הזה ולדרוס את מצב המשתמש המקומי?",
+            "importSuccess": "הגיבוי יובא בהצלחה.",
+            "importFailed": "נכשל ייבוא הגיבוי: {message}",
+            "latestSnapshot": "צילום המצב האחרון",
+            "latestAutoSnapshot": "צילום המצב האוטומטי האחרון",
+            "snapshotCount": "צילומי מצב שמורים",
+            "noneAvailable": "עדיין אין צילומי מצב"
+        },
         "downloadSkipBaseModels": {
             "label": "דלג על הורדות עבור מודלי בסיס",
             "help": "חל על כל תהליכי ההורדה. ניתן לבחור כאן רק מודלי בסיס נתמכים.",
@@ -341,6 +369,10 @@
                 "saveFailed": "לא ניתן לשמור את מודלי הבסיס המוחרגים: {message}"
             }
         },
+        "skipPreviouslyDownloadedModelVersions": {
+            "label": "דלג על גרסאות מודלים שהורדו בעבר",
+            "help": "כאשר מופעל, LoRA Manager ידלג על הורדת גרסת מודל אם שירות היסטוריית ההורדות רושם את הגרסה המדויקת הזו ככבר שהורדה. חל על כל תהליכי ההורדה."
+        },
         "layoutSettings": {
             "displayDensity": "צפיפות תצוגה",
             "displayDensityOptions": {
@@ -389,12 +421,16 @@
             "defaultUnetRootHelp": "הגדר את ספריית השורש המוגדרת כברירת מחדל של Diffusion Model (UNET) להורדות, ייבוא והעברות",
             "defaultEmbeddingRoot": "תיקיית שורש Embedding",
             "defaultEmbeddingRootHelp": "הגדר את ספריית השורש המוגדרת כברירת מחדל של embedding להורדות, ייבוא והעברות",
+            "recipesPath": "נתיב אחסון מתכונים",
+            "recipesPathHelp": "ספרייה מותאמת אישית אופציונלית למתכונים שנשמרו. השאר ריק כדי להשתמש בתיקיית recipes של שורש LoRA הראשון.",
+            "recipesPathPlaceholder": "/path/to/recipes",
+            "recipesPathMigrating": "מעביר את אחסון המתכונים...",
             "noDefault": "אין ברירת מחדל"
         },
         "extraFolderPaths": {
             "title": "נתיבי תיקיות נוספים",
-            "help": "הוסף תיקיות מודלים נוספות מחוץ לנתיבים הסטנדרטיים של ComfyUI. נתיבים אלה נשמרים בנפרד ונסרקים לצד תיקיות ברירת המחדל.",
-            "description": "הגדר תיקיות נוספות לסריקת מודלים. נתיבים אלה ספציפיים ל-LoRA Manager וימוזגו עם נתיבי ברירת המחדל של ComfyUI.",
+            "description": "נתיבי שורש מודלים נוספים בלעדיים ל-LoRA Manager. טען מודלים ממיקומים מחוץ לתיקיות הסטנדרטיות של ComfyUI - אידיאלי לספריות גדולות שאחרת יאטו את ComfyUI.",
+            "restartRequired": "Requires restart to take effect",
             "modelTypes": {
                 "lora": "נתיבי LoRA",
                 "checkpoint": "נתיבי Checkpoint",
@@ -402,7 +438,7 @@
                 "embedding": "נתיבי Embedding"
             },
             "pathPlaceholder": "/נתיב/למודלים/נוספים",
-            "saveSuccess": "נתיבי תיקיות נוספים עודכנו.",
+            "saveSuccess": "נתיבי תיקיות נוספים עודכנו. נדרשת הפעלה מחדש כדי להחיל את השינויים.",
             "saveError": "נכשל בעדכון נתיבי תיקיות נוספים: {message}",
             "validation": {
                 "duplicatePath": "נתיב זה כבר מוגדר"
@@ -827,7 +863,7 @@
         },
         "contextMenu": {
             "moveToOtherTypeFolder": "העבר לתיקיית {otherType}",
-            "sendToWorkflow": "[TODO: Translate] Send to Workflow"
+            "sendToWorkflow": "שלח ל-workflow"
         }
     },
     "embeddings": {
@@ -921,6 +957,8 @@
             "earlyAccess": "גישה מוקדמת",
             "earlyAccessTooltip": "נדרשת גישה מוקדמת",
             "inLibrary": "בספרייה",
+            "downloaded": "הורד",
+            "downloadedTooltip": "הורד בעבר, אך הוא אינו נמצא כרגע בספרייה שלך.",
             "alreadyInLibrary": "כבר בספרייה",
             "autoOrganizedPath": "[מאורגן אוטומטית לפי תבנית נתיב]",
             "errors": {
@@ -1190,17 +1228,30 @@
                     "days": "בעוד {count} ימים"
                 },
                 "badges": {
-                    "current": "גרסה נוכחית",
+                    "current": "גרסה שנפתחה",
+                    "currentTooltip": "זוהי הגרסה שממנה נפתח החלון הזה",
                     "inLibrary": "בספרייה",
+                    "inLibraryTooltip": "גרסה זו קיימת בספרייה המקומית שלך",
+                    "downloaded": "הורד",
+                    "downloadedTooltip": "גרסה זו הורדה בעבר, אך אינה נמצאת כרגע בספרייה שלך",
                     "newer": "גרסה חדשה יותר",
+                    "newerTooltip": "גרסה זו חדשה יותר מהגרסה המקומית האחרונה שלך",
                     "earlyAccess": "גישה מוקדמת",
-                    "ignored": "התעלם"
+                    "earlyAccessTooltip": "גרסה זו דורשת כרגע גישת Early Access של Civitai",
+                    "ignored": "התעלם",
+                    "ignoredTooltip": "התראות העדכון מושבתות עבור גרסה זו"
                 },
                 "actions": {
                     "download": "הורדה",
+                    "downloadTooltip": "הורד את הגרסה הזו",
+                    "downloadEarlyAccessTooltip": "הורד את גרסת ה-Early Access הזו מ-Civitai",
                     "delete": "מחיקה",
+                    "deleteTooltip": "מחק את הגרסה המקומית הזו",
                     "ignore": "התעלם",
                     "unignore": "בטל התעלמות",
+                    "ignoreTooltip": "התעלם מהתראות העדכון עבור גרסה זו",
+                    "unignoreTooltip": "חזור לקבל התראות עדכון עבור גרסה זו",
+                    "viewVersionOnCivitai": "הצג את הגרסה ב-Civitai",
                     "earlyAccessTooltip": "נדרש רכישת גישה מוקדמת",
                     "resumeModelUpdates": "המשך עדכונים עבור מודל זה",
                     "ignoreModelUpdates": "התעלם מעדכונים עבור מודל זה",
@@ -1625,6 +1676,8 @@
             "mappingSaveFailed": "שמירת מיפויי מודל בסיס נכשלה: {message}",
             "downloadTemplatesUpdated": "תבניות נתיב הורדה עודכנו",
             "downloadTemplatesFailed": "שמירת תבניות נתיב הורדה נכשלה: {message}",
+            "recipesPathUpdated": "נתיב אחסון המתכונים עודכן",
+            "recipesPathSaveFailed": "עדכון נתיב אחסון המתכונים נכשל: {message}",
             "settingsUpdated": "הגדרות עודכנו: {setting}",
             "compactModeToggled": "מצב קומפקטי {state}",
             "settingSaveFailed": "שמירת ההגדרה נכשלה: {message}",
@@ -1768,6 +1821,35 @@
             "moveFailed": "Failed to move item: {message}"
         }
     },
+    "doctor": {
+        "kicker": "אבחון מערכת",
+        "title": "דוקטור",
+        "buttonTitle": "הפעלת אבחון ותיקונים נפוצים",
+        "loading": "בודק את הסביבה...",
+        "footer": "ייצא חבילת אבחון אם הבעיה עדיין נמשכת לאחר התיקון.",
+        "summary": {
+            "idle": "הרץ בדיקת תקינות עבור הגדרות, שלמות המטמון ועקביות הממשק.",
+            "ok": "לא נמצאו בעיות פעילות בסביבה הנוכחית.",
+            "warning": "נמצאה/נמצאו {count} בעיה/בעיות. את רובן אפשר לתקן ישירות מלוח זה.",
+            "error": "יש לטפל ב-{count} בעיה/בעיות לפני שהאפליקציה תהיה תקינה לחלוטין."
+        },
+        "status": {
+            "ok": "תקין",
+            "warning": "דורש תשומת לב",
+            "error": "נדרשת פעולה"
+        },
+        "actions": {
+            "runAgain": "הפעל שוב",
+            "exportBundle": "ייצוא חבילה"
+        },
+        "toast": {
+            "loadFailed": "טעינת האבחון נכשלה: {message}",
+            "repairSuccess": "בניית המטמון מחדש הושלמה.",
+            "repairFailed": "בניית המטמון מחדש נכשלה: {message}",
+            "exportSuccess": "חבילת האבחון יוצאה.",
+            "exportFailed": "ייצוא חבילת האבחון נכשל: {message}"
+        }
+    },
     "banners": {
         "versionMismatch": {
             "title": "זוהה עדכון יישום",

locales/ja.json

@@ -263,7 +263,9 @@
             "videoSettings": "動画設定",
             "layoutSettings": "レイアウト設定",
             "misc": "その他",
+            "backup": "バックアップ",
             "folderSettings": "デフォルトルート",
+            "recipeSettings": "レシピ",
             "extraFolderPaths": "追加フォルダーパス",
             "downloadPathTemplates": "ダウンロードパステンプレート",
             "priorityTags": "優先タグ",
@@ -323,6 +325,32 @@
                 "saveFailed": "スキップパスの保存に失敗しました：{message}"
             }
         },
+        "backup": {
+            "autoEnabled": "自動バックアップ",
+            "autoEnabledHelp": "1日1回ローカルのスナップショットを作成し、保持ポリシーに従って最新のものを残します。",
+            "retention": "保持数",
+            "retentionHelp": "古いものを削除する前に、何件の自動スナップショットを保持するかを指定します。",
+            "management": "バックアップ管理",
+            "managementHelp": "現在のユーザー状態をエクスポートするか、バックアップアーカイブから復元します。",
+            "scopeHelp": "設定、ダウンロード履歴、モデル更新の状態をバックアップします。モデルファイルや再生成できるキャッシュは含まれません。",
+            "locationSummary": "現在のバックアップ場所",
+            "openFolderButton": "バックアップフォルダを開く",
+            "openFolderSuccess": "バックアップフォルダを開きました",
+            "openFolderFailed": "バックアップフォルダを開けませんでした",
+            "locationCopied": "バックアップパスをクリップボードにコピーしました: {{path}}",
+            "locationClipboardFallback": "バックアップパス: {{path}}",
+            "exportButton": "バックアップをエクスポート",
+            "exportSuccess": "バックアップを正常にエクスポートしました。",
+            "exportFailed": "バックアップのエクスポートに失敗しました: {message}",
+            "importButton": "バックアップをインポート",
+            "importConfirm": "このバックアップをインポートして、ローカルのユーザー状態を上書きしますか?",
+            "importSuccess": "バックアップを正常にインポートしました。",
+            "importFailed": "バックアップのインポートに失敗しました: {message}",
+            "latestSnapshot": "最新のスナップショット",
+            "latestAutoSnapshot": "最新の自動スナップショット",
+            "snapshotCount": "保存済みスナップショット",
+            "noneAvailable": "まだスナップショットはありません"
+        },
         "downloadSkipBaseModels": {
             "label": "ベースモデルのダウンロードをスキップ",
             "help": "すべてのダウンロードフローに適用されます。ここでは対応しているベースモデルのみ選択できます。",
@@ -341,6 +369,10 @@
                 "saveFailed": "除外するベースモデルを保存できませんでした: {message}"
             }
         },
+        "skipPreviouslyDownloadedModelVersions": {
+            "label": "以前にダウンロードしたモデルバージョンをスキップ",
+            "help": "有効にすると、ダウンロード履歴サービスがそのバージョンが既にダウンロード済みと記録している場合、LoRA Managerはそのモデルバージョンのダウンロードをスキップします。すべてのダウンロードフローに適用されます。"
+        },
         "layoutSettings": {
             "displayDensity": "表示密度",
             "displayDensityOptions": {
@@ -389,12 +421,16 @@
             "defaultUnetRootHelp": "ダウンロード、インポート、移動用のデフォルトDiffusion Model (UNET)ルートディレクトリを設定",
             "defaultEmbeddingRoot": "Embeddingルート",
             "defaultEmbeddingRootHelp": "ダウンロード、インポート、移動用のデフォルトembeddingルートディレクトリを設定",
+            "recipesPath": "レシピ保存先",
+            "recipesPathHelp": "保存済みレシピ用の任意のカスタムディレクトリです。空欄にすると最初のLoRAルートのrecipesフォルダーを使用します。",
+            "recipesPathPlaceholder": "/path/to/recipes",
+            "recipesPathMigrating": "レシピ保存先を移動中...",
             "noDefault": "デフォルトなし"
         },
         "extraFolderPaths": {
             "title": "追加フォルダーパス",
-            "help": "ComfyUIの標準パスの外部に追加のモデルフォルダを追加します。これらのパスは別々に保存され、デフォルトのフォルダと一緒にスキャンされます。",
-            "description": "モデルをスキャンするための追加フォルダを設定します。これらのパスはLoRA Manager固有であり、ComfyUIのデフォルトパスとマージされます。",
+            "description": "LoRA Manager専用の追加モデルルートパス。ComfyUIの標準フォルダー外の場所からモデルを読み込みます。ComfyUIの動作を低下させる可能性のある大規模ライブラリに最適です。",
+            "restartRequired": "Requires restart to take effect",
             "modelTypes": {
                 "lora": "LoRAパス",
                 "checkpoint": "Checkpointパス",
@@ -402,7 +438,7 @@
                 "embedding": "Embeddingパス"
             },
             "pathPlaceholder": "/追加モデルへのパス",
-            "saveSuccess": "追加フォルダーパスを更新しました。",
+            "saveSuccess": "追加フォルダーパスを更新しました。変更を適用するには再起動が必要です。",
             "saveError": "追加フォルダーパスの更新に失敗しました: {message}",
             "validation": {
                 "duplicatePath": "このパスはすでに設定されています"
@@ -827,7 +863,7 @@
         },
         "contextMenu": {
             "moveToOtherTypeFolder": "{otherType} フォルダに移動",
-            "sendToWorkflow": "[TODO: Translate] Send to Workflow"
+            "sendToWorkflow": "ワークフローに送信"
         }
     },
     "embeddings": {
@@ -921,6 +957,8 @@
             "earlyAccess": "アーリーアクセス",
             "earlyAccessTooltip": "アーリーアクセスが必要",
             "inLibrary": "ライブラリ内",
+            "downloaded": "ダウンロード済み",
+            "downloadedTooltip": "以前にダウンロード済みですが、現在はライブラリにありません。",
             "alreadyInLibrary": "既にライブラリ内",
             "autoOrganizedPath": "[パステンプレートによる自動整理]",
             "errors": {
@@ -1190,17 +1228,30 @@
                     "days": "{count}日後"
                 },
                 "badges": {
-                    "current": "現在のバージョン",
+                    "current": "開いたバージョン",
+                    "currentTooltip": "このモーダルを開くために選択したバージョンです",
                     "inLibrary": "ライブラリにあります",
+                    "inLibraryTooltip": "このバージョンはローカルライブラリに存在します",
+                    "downloaded": "ダウンロード済み",
+                    "downloadedTooltip": "このバージョンは以前ダウンロードされましたが、現在はライブラリにありません",
                     "newer": "新しいバージョン",
+                    "newerTooltip": "このバージョンはローカルの最新バージョンより新しいです",
                     "earlyAccess": "早期アクセス",
-                    "ignored": "無視中"
+                    "earlyAccessTooltip": "このバージョンは現在 Civitai の早期アクセスが必要です",
+                    "ignored": "無視中",
+                    "ignoredTooltip": "このバージョンの更新通知は無効です"
                 },
                 "actions": {
                     "download": "ダウンロード",
+                    "downloadTooltip": "このバージョンをダウンロード",
+                    "downloadEarlyAccessTooltip": "Civitai からこの早期アクセス版をダウンロード",
                     "delete": "削除",
+                    "deleteTooltip": "このローカルバージョンを削除",
                     "ignore": "無視",
                     "unignore": "無視を解除",
+                    "ignoreTooltip": "このバージョンの更新通知を無視",
+                    "unignoreTooltip": "このバージョンの更新通知を再開",
+                    "viewVersionOnCivitai": "Civitai でバージョンを表示",
                     "earlyAccessTooltip": "早期アクセス購入が必要",
                     "resumeModelUpdates": "このモデルの更新を再開",
                     "ignoreModelUpdates": "このモデルの更新を無視",
@@ -1625,6 +1676,8 @@
             "mappingSaveFailed": "ベースモデルマッピングの保存に失敗しました：{message}",
             "downloadTemplatesUpdated": "ダウンロードパステンプレートが更新されました",
             "downloadTemplatesFailed": "ダウンロードパステンプレートの保存に失敗しました：{message}",
+            "recipesPathUpdated": "レシピ保存先を更新しました",
+            "recipesPathSaveFailed": "レシピ保存先の更新に失敗しました: {message}",
             "settingsUpdated": "設定が更新されました：{setting}",
             "compactModeToggled": "コンパクトモード {state}",
             "settingSaveFailed": "設定の保存に失敗しました：{message}",
@@ -1768,6 +1821,35 @@
             "moveFailed": "Failed to move item: {message}"
         }
     },
+    "doctor": {
+        "kicker": "システム診断",
+        "title": "ドクター",
+        "buttonTitle": "診断と一般的な修復を実行",
+        "loading": "環境を確認中...",
+        "footer": "修復後も問題が続く場合は、診断パッケージをエクスポートしてください。",
+        "summary": {
+            "idle": "設定、キャッシュ整合性、UI の一貫性をヘルスチェックします。",
+            "ok": "現在の環境でアクティブな問題は見つかりませんでした。",
+            "warning": "{count} 件の問題が見つかりました。ほとんどはこのパネルから直接修復できます。",
+            "error": "アプリが完全に正常になる前に、{count} 件の問題に対処する必要があります。"
+        },
+        "status": {
+            "ok": "正常",
+            "warning": "要注意",
+            "error": "対応が必要"
+        },
+        "actions": {
+            "runAgain": "再実行",
+            "exportBundle": "パッケージをエクスポート"
+        },
+        "toast": {
+            "loadFailed": "診断の読み込みに失敗しました: {message}",
+            "repairSuccess": "キャッシュの再構築が完了しました。",
+            "repairFailed": "キャッシュの再構築に失敗しました: {message}",
+            "exportSuccess": "診断パッケージをエクスポートしました。",
+            "exportFailed": "診断パッケージのエクスポートに失敗しました: {message}"
+        }
+    },
     "banners": {
         "versionMismatch": {
             "title": "アプリケーション更新が検出されました",

locales/ko.json

@@ -263,7 +263,9 @@
             "videoSettings": "비디오 설정",
             "layoutSettings": "레이아웃 설정",
             "misc": "기타",
+            "backup": "백업",
             "folderSettings": "기본 루트",
+            "recipeSettings": "레시피",
             "extraFolderPaths": "추가 폴다 경로",
             "downloadPathTemplates": "다운로드 경로 템플릿",
             "priorityTags": "우선순위 태그",
@@ -323,6 +325,32 @@
                 "saveFailed": "건너뛰기 경로를 저장할 수 없습니다: {message}"
             }
         },
+        "backup": {
+            "autoEnabled": "자동 백업",
+            "autoEnabledHelp": "하루에 한 번 로컬 스냅샷을 만들고 보존 정책에 따라 최신 스냅샷을 유지합니다.",
+            "retention": "보존 개수",
+            "retentionHelp": "오래된 자동 스냅샷을 삭제하기 전에 몇 개를 유지할지 지정합니다.",
+            "management": "백업 관리",
+            "managementHelp": "현재 사용자 상태를 내보내거나 백업 아카이브에서 복원합니다.",
+            "scopeHelp": "설정, 다운로드 기록, 모델 업데이트 상태를 백업합니다. 모델 파일과 다시 생성할 수 있는 캐시는 포함되지 않습니다.",
+            "locationSummary": "현재 백업 위치",
+            "openFolderButton": "백업 폴더 열기",
+            "openFolderSuccess": "백업 폴더를 열었습니다",
+            "openFolderFailed": "백업 폴더를 열지 못했습니다",
+            "locationCopied": "백업 경로를 클립보드에 복사했습니다: {{path}}",
+            "locationClipboardFallback": "백업 경로: {{path}}",
+            "exportButton": "백업 내보내기",
+            "exportSuccess": "백업을 성공적으로 내보냈습니다.",
+            "exportFailed": "백업 내보내기에 실패했습니다: {message}",
+            "importButton": "백업 가져오기",
+            "importConfirm": "이 백업을 가져와서 로컬 사용자 상태를 덮어쓰시겠습니까?",
+            "importSuccess": "백업을 성공적으로 가져왔습니다.",
+            "importFailed": "백업 가져오기에 실패했습니다: {message}",
+            "latestSnapshot": "최근 스냅샷",
+            "latestAutoSnapshot": "최근 자동 스냅샷",
+            "snapshotCount": "저장된 스냅샷",
+            "noneAvailable": "아직 스냅샷이 없습니다"
+        },
         "downloadSkipBaseModels": {
             "label": "기본 모델 다운로드 건너뛰기",
             "help": "모든 다운로드 흐름에 적용됩니다. 여기서는 지원되는 기본 모델만 선택할 수 있습니다.",
@@ -341,6 +369,10 @@
                 "saveFailed": "제외된 기본 모델을 저장할 수 없습니다: {message}"
             }
         },
+        "skipPreviouslyDownloadedModelVersions": {
+            "label": "이전에 다운로드한 모델 버전 건너뛰기",
+            "help": "활성화하면 다운로드 기록 서비스가 해당 버전이 이미 다운로드되었음을 기록한 경우 LoRA Manager는 해당 모델 버전 다운로드를 건너뜁니다. 모든 다운로드 플로우에 적용됩니다."
+        },
         "layoutSettings": {
             "displayDensity": "표시 밀도",
             "displayDensityOptions": {
@@ -389,12 +421,16 @@
             "defaultUnetRootHelp": "다운로드, 가져오기 및 이동을 위한 기본 Diffusion Model (UNET) 루트 디렉토리를 설정합니다",
             "defaultEmbeddingRoot": "Embedding 루트",
             "defaultEmbeddingRootHelp": "다운로드, 가져오기 및 이동을 위한 기본 Embedding 루트 디렉토리를 설정합니다",
+            "recipesPath": "레시피 저장 경로",
+            "recipesPathHelp": "저장된 레시피를 위한 선택적 사용자 지정 디렉터리입니다. 비워 두면 첫 번째 LoRA 루트의 recipes 폴더를 사용합니다.",
+            "recipesPathPlaceholder": "/path/to/recipes",
+            "recipesPathMigrating": "레시피 저장 경로를 이동 중...",
             "noDefault": "기본값 없음"
         },
         "extraFolderPaths": {
             "title": "추가 폴다 경로",
-            "help": "ComfyUI의 표준 경로 외부에 추가 모델 폴드를 추가하세요. 이러한 경로는 별도로 저장되며 기본 폴와 함께 스캔됩니다.",
-            "description": "모델을 스캔하기 위한 추가 폴를 설정하세요. 이러한 경로는 LoRA Manager 특유의 것이며 ComfyUI의 기본 경로와 병합됩니다.",
+            "description": "LoRA Manager 전용 추가 모델 루트 경로입니다. ComfyUI의 표준 폴더 외부 위치에서 모델을 로드하여 대규모 라이브러리로 인한 성능 저하를 방지합니다.",
+            "restartRequired": "Requires restart to take effect",
             "modelTypes": {
                 "lora": "LoRA 경로",
                 "checkpoint": "Checkpoint 경로",
@@ -402,7 +438,7 @@
                 "embedding": "Embedding 경로"
             },
             "pathPlaceholder": "/추가/모델/경로",
-            "saveSuccess": "추가 폴다 경로가 업데이트되었습니다.",
+            "saveSuccess": "추가 폴다 경로가 업데이트되었습니다. 변경 사항을 적용하려면 재시작이 필요합니다.",
             "saveError": "추가 폴다 경로 업데이트 실패: {message}",
             "validation": {
                 "duplicatePath": "이 경로는 이미 구성되어 있습니다"
@@ -827,7 +863,7 @@
         },
         "contextMenu": {
             "moveToOtherTypeFolder": "{otherType} 폴더로 이동",
-            "sendToWorkflow": "[TODO: Translate] Send to Workflow"
+            "sendToWorkflow": "워크플로우로 전송"
         }
     },
     "embeddings": {
@@ -921,6 +957,8 @@
             "earlyAccess": "얼리 액세스",
             "earlyAccessTooltip": "얼리 액세스 필요",
             "inLibrary": "라이브러리에 있음",
+            "downloaded": "다운로드됨",
+            "downloadedTooltip": "이전에 다운로드했지만 현재 라이브러리에 없습니다.",
             "alreadyInLibrary": "이미 라이브러리에 있음",
             "autoOrganizedPath": "[경로 템플릿으로 자동 정리됨]",
             "errors": {
@@ -1190,17 +1228,30 @@
                     "days": "{count}일 후"
                 },
                 "badges": {
-                    "current": "현재 버전",
+                    "current": "열린 버전",
+                    "currentTooltip": "이 모달을 열 때 사용한 버전입니다",
                     "inLibrary": "라이브러리에 있음",
+                    "inLibraryTooltip": "이 버전은 로컬 라이브러리에 있습니다",
+                    "downloaded": "다운로드됨",
+                    "downloadedTooltip": "이 버전은 이전에 다운로드되었지만 현재는 라이브러리에 없습니다",
                     "newer": "최신 버전",
+                    "newerTooltip": "이 버전은 로컬의 최신 버전보다 더 새롭습니다",
                     "earlyAccess": "얼리 액세스",
-                    "ignored": "무시됨"
+                    "earlyAccessTooltip": "이 버전은 현재 Civitai 얼리 액세스가 필요합니다",
+                    "ignored": "무시됨",
+                    "ignoredTooltip": "이 버전은 업데이트 알림이 비활성화되어 있습니다"
                 },
                 "actions": {
                     "download": "다운로드",
+                    "downloadTooltip": "이 버전 다운로드",
+                    "downloadEarlyAccessTooltip": "Civitai에서 이 얼리 액세스 버전 다운로드",
                     "delete": "삭제",
+                    "deleteTooltip": "이 로컬 버전 삭제",
                     "ignore": "무시",
                     "unignore": "무시 해제",
+                    "ignoreTooltip": "이 버전의 업데이트 알림 무시",
+                    "unignoreTooltip": "이 버전의 업데이트 알림 다시 받기",
+                    "viewVersionOnCivitai": "Civitai에서 버전 보기",
                     "earlyAccessTooltip": "얼리 액세스 구매 필요",
                     "resumeModelUpdates": "이 모델 업데이트 재개",
                     "ignoreModelUpdates": "이 모델 업데이트 무시",
@@ -1625,6 +1676,8 @@
             "mappingSaveFailed": "베이스 모델 매핑 저장 실패: {message}",
             "downloadTemplatesUpdated": "다운로드 경로 템플릿이 업데이트되었습니다",
             "downloadTemplatesFailed": "다운로드 경로 템플릿 저장 실패: {message}",
+            "recipesPathUpdated": "레시피 저장 경로가 업데이트되었습니다",
+            "recipesPathSaveFailed": "레시피 저장 경로 업데이트 실패: {message}",
             "settingsUpdated": "설정 업데이트됨: {setting}",
             "compactModeToggled": "컴팩트 모드 {state}",
             "settingSaveFailed": "설정 저장 실패: {message}",
@@ -1768,6 +1821,35 @@
             "moveFailed": "Failed to move item: {message}"
         }
     },
+    "doctor": {
+        "kicker": "시스템 진단",
+        "title": "닥터",
+        "buttonTitle": "진단 및 일반적인 수정 실행",
+        "loading": "환경을 확인하는 중...",
+        "footer": "수리 후에도 문제가 계속되면 진단 번들을 내보내세요.",
+        "summary": {
+            "idle": "설정, 캐시 무결성, UI 일관성에 대한 상태 검사를 실행합니다.",
+            "ok": "현재 환경에서 활성 문제를 찾지 못했습니다.",
+            "warning": "{count}개의 문제가 발견되었습니다. 대부분은 이 패널에서 바로 해결할 수 있습니다.",
+            "error": "앱이 완전히 정상 상태가 되기 전에 {count}개의 문제를 처리해야 합니다."
+        },
+        "status": {
+            "ok": "정상",
+            "warning": "주의 필요",
+            "error": "조치 필요"
+        },
+        "actions": {
+            "runAgain": "다시 실행",
+            "exportBundle": "번들 내보내기"
+        },
+        "toast": {
+            "loadFailed": "진단 로드 실패: {message}",
+            "repairSuccess": "캐시 재구성이 완료되었습니다.",
+            "repairFailed": "캐시 재구성 실패: {message}",
+            "exportSuccess": "진단 번들이 내보내졌습니다.",
+            "exportFailed": "진단 번들 내보내기 실패: {message}"
+        }
+    },
     "banners": {
         "versionMismatch": {
             "title": "애플리케이션 업데이트 감지",

locales/ru.json

@@ -263,7 +263,9 @@
             "videoSettings": "Настройки видео",
             "layoutSettings": "Настройки макета",
             "misc": "Разное",
+            "backup": "Резервные копии",
             "folderSettings": "Корневые папки",
+            "recipeSettings": "Рецепты",
             "extraFolderPaths": "Дополнительные пути к папкам",
             "downloadPathTemplates": "Шаблоны путей загрузки",
             "priorityTags": "Приоритетные теги",
@@ -323,6 +325,32 @@
                 "saveFailed": "Не удалось сохранить пути для пропуска: {message}"
             }
         },
+        "backup": {
+            "autoEnabled": "Автоматические резервные копии",
+            "autoEnabledHelp": "Создаёт локальный снимок раз в день и хранит последние снимки согласно политике хранения.",
+            "retention": "Количество хранения",
+            "retentionHelp": "Сколько автоматических снимков сохранять перед удалением старых.",
+            "management": "Управление резервными копиями",
+            "managementHelp": "Экспортируйте текущее состояние пользователя или восстановите его из архива резервной копии.",
+            "scopeHelp": "Резервная копия включает ваши настройки, историю загрузок и состояние обновлений моделей. Файлы моделей и пересоздаваемые кэши не входят.",
+            "locationSummary": "Текущее расположение резервных копий",
+            "openFolderButton": "Открыть папку резервных копий",
+            "openFolderSuccess": "Папка резервных копий открыта",
+            "openFolderFailed": "Не удалось открыть папку резервных копий",
+            "locationCopied": "Путь к резервной копии скопирован в буфер обмена: {{path}}",
+            "locationClipboardFallback": "Путь к резервной копии: {{path}}",
+            "exportButton": "Экспортировать резервную копию",
+            "exportSuccess": "Резервная копия успешно экспортирована.",
+            "exportFailed": "Не удалось экспортировать резервную копию: {message}",
+            "importButton": "Импортировать резервную копию",
+            "importConfirm": "Импортировать эту резервную копию и перезаписать локальное состояние пользователя?",
+            "importSuccess": "Резервная копия успешно импортирована.",
+            "importFailed": "Не удалось импортировать резервную копию: {message}",
+            "latestSnapshot": "Последний снимок",
+            "latestAutoSnapshot": "Последний автоматический снимок",
+            "snapshotCount": "Сохранённые снимки",
+            "noneAvailable": "Снимков пока нет"
+        },
         "downloadSkipBaseModels": {
             "label": "Пропускать загрузки для базовых моделей",
             "help": "Применяется ко всем сценариям загрузки. Здесь можно выбрать только поддерживаемые базовые модели.",
@@ -341,6 +369,10 @@
                 "saveFailed": "Не удалось сохранить исключённые базовые модели: {message}"
             }
         },
+        "skipPreviouslyDownloadedModelVersions": {
+            "label": "Пропускать ранее загруженные версии моделей",
+            "help": "Если включено, LoRA Manager будет пропускать загрузку версии модели, если сервис истории загрузок записал, что эта конкретная версия уже загружена. Применяется ко всем потокам загрузки."
+        },
         "layoutSettings": {
             "displayDensity": "Плотность отображения",
             "displayDensityOptions": {
@@ -389,12 +421,16 @@
             "defaultUnetRootHelp": "Установить корневую папку Diffusion Model (UNET) по умолчанию для загрузок, импорта и перемещений",
             "defaultEmbeddingRoot": "Корневая папка Embedding",
             "defaultEmbeddingRootHelp": "Установить корневую папку embedding по умолчанию для загрузок, импорта и перемещений",
+            "recipesPath": "Путь хранения рецептов",
+            "recipesPathHelp": "Дополнительный пользовательский каталог для сохранённых рецептов. Оставьте пустым, чтобы использовать папку recipes в первом корне LoRA.",
+            "recipesPathPlaceholder": "/path/to/recipes",
+            "recipesPathMigrating": "Перенос хранилища рецептов...",
             "noDefault": "Не задано"
         },
         "extraFolderPaths": {
             "title": "Дополнительные пути к папкам",
-            "help": "Добавьте дополнительные папки моделей за пределами стандартных путей ComfyUI. Эти пути хранятся отдельно и сканируются вместе с папками по умолчанию.",
-            "description": "Настройте дополнительные папки для сканирования моделей. Эти пути специфичны для LoRA Manager и будут объединены с путями по умолчанию ComfyUI.",
+            "description": "Дополнительные корневые пути моделей, эксклюзивные для LoRA Manager. Загружайте модели из расположений за пределами стандартных папок ComfyUI — идеально подходит для больших библиотек, которые иначе замедлили бы ComfyUI.",
+            "restartRequired": "Requires restart to take effect",
             "modelTypes": {
                 "lora": "Пути LoRA",
                 "checkpoint": "Пути Checkpoint",
@@ -402,7 +438,7 @@
                 "embedding": "Пути Embedding"
             },
             "pathPlaceholder": "/путь/к/дополнительным/моделям",
-            "saveSuccess": "Дополнительные пути к папкам обновлены.",
+            "saveSuccess": "Дополнительные пути к папкам обновлены. Требуется перезапуск для применения изменений.",
             "saveError": "Не удалось обновить дополнительные пути к папкам: {message}",
             "validation": {
                 "duplicatePath": "Этот путь уже настроен"
@@ -827,7 +863,7 @@
         },
         "contextMenu": {
             "moveToOtherTypeFolder": "Переместить в папку {otherType}",
-            "sendToWorkflow": "[TODO: Translate] Send to Workflow"
+            "sendToWorkflow": "Отправить в workflow"
         }
     },
     "embeddings": {
@@ -921,6 +957,8 @@
             "earlyAccess": "Ранний доступ",
             "earlyAccessTooltip": "Требуется ранний доступ",
             "inLibrary": "В библиотеке",
+            "downloaded": "Загружено",
+            "downloadedTooltip": "Ранее загружено, но сейчас этого нет в вашей библиотеке.",
             "alreadyInLibrary": "Уже в библиотеке",
             "autoOrganizedPath": "[Автоматически организовано по шаблону пути]",
             "errors": {
@@ -1190,17 +1228,30 @@
                     "days": "через {count}д"
                 },
                 "badges": {
-                    "current": "Текущая версия",
+                    "current": "Открытая версия",
+                    "currentTooltip": "Это версия, с которой было открыто это окно",
                     "inLibrary": "В библиотеке",
+                    "inLibraryTooltip": "Эта версия есть в вашей локальной библиотеке",
+                    "downloaded": "Загружено",
+                    "downloadedTooltip": "Эта версия уже загружалась, но сейчас отсутствует в вашей библиотеке",
                     "newer": "Более новая версия",
+                    "newerTooltip": "Эта версия новее вашей последней локальной версии",
                     "earlyAccess": "Ранний доступ",
-                    "ignored": "Игнорируется"
+                    "earlyAccessTooltip": "Для этой версии сейчас требуется ранний доступ Civitai",
+                    "ignored": "Игнорируется",
+                    "ignoredTooltip": "Уведомления об обновлениях для этой версии отключены"
                 },
                 "actions": {
                     "download": "Скачать",
+                    "downloadTooltip": "Скачать эту версию",
+                    "downloadEarlyAccessTooltip": "Скачать эту версию раннего доступа с Civitai",
                     "delete": "Удалить",
+                    "deleteTooltip": "Удалить эту локальную версию",
                     "ignore": "Игнорировать",
                     "unignore": "Перестать игнорировать",
+                    "ignoreTooltip": "Игнорировать уведомления об обновлениях для этой версии",
+                    "unignoreTooltip": "Возобновить уведомления об обновлениях для этой версии",
+                    "viewVersionOnCivitai": "Посмотреть версию на Civitai",
                     "earlyAccessTooltip": "Требуется покупка раннего доступа",
                     "resumeModelUpdates": "Возобновить обновления для этой модели",
                     "ignoreModelUpdates": "Игнорировать обновления для этой модели",
@@ -1625,6 +1676,8 @@
             "mappingSaveFailed": "Не удалось сохранить сопоставления базовых моделей: {message}",
             "downloadTemplatesUpdated": "Шаблоны путей загрузки обновлены",
             "downloadTemplatesFailed": "Не удалось сохранить шаблоны путей загрузки: {message}",
+            "recipesPathUpdated": "Путь хранения рецептов обновлён",
+            "recipesPathSaveFailed": "Не удалось обновить путь хранения рецептов: {message}",
             "settingsUpdated": "Настройки обновлены: {setting}",
             "compactModeToggled": "Компактный режим {state}",
             "settingSaveFailed": "Не удалось сохранить настройку: {message}",
@@ -1768,6 +1821,35 @@
             "moveFailed": "Failed to move item: {message}"
         }
     },
+    "doctor": {
+        "kicker": "Системная диагностика",
+        "title": "Доктор",
+        "buttonTitle": "Запустить диагностику и обычные исправления",
+        "loading": "Проверка окружения...",
+        "footer": "Экспортируйте диагностический пакет, если проблема сохраняется после исправления.",
+        "summary": {
+            "idle": "Выполнить проверку настроек, целостности кэша и согласованности интерфейса.",
+            "ok": "В текущем окружении активных проблем не обнаружено.",
+            "warning": "Обнаружено {count} проблем(ы). Большинство можно исправить прямо из этой панели.",
+            "error": "Перед тем как приложение станет полностью исправным, нужно устранить {count} проблем(ы)."
+        },
+        "status": {
+            "ok": "Исправно",
+            "warning": "Требует внимания",
+            "error": "Требуется действие"
+        },
+        "actions": {
+            "runAgain": "Запустить снова",
+            "exportBundle": "Экспортировать пакет"
+        },
+        "toast": {
+            "loadFailed": "Не удалось загрузить диагностику: {message}",
+            "repairSuccess": "Перестройка кэша завершена.",
+            "repairFailed": "Не удалось перестроить кэш: {message}",
+            "exportSuccess": "Диагностический пакет экспортирован.",
+            "exportFailed": "Не удалось экспортировать диагностический пакет: {message}"
+        }
+    },
     "banners": {
         "versionMismatch": {
             "title": "Обнаружено обновление приложения",

locales/zh-CN.json

@@ -263,7 +263,9 @@
             "videoSettings": "视频设置",
             "layoutSettings": "布局设置",
             "misc": "其他",
+            "backup": "备份",
             "folderSettings": "默认根目录",
+            "recipeSettings": "配方",
             "extraFolderPaths": "额外文件夹路径",
             "downloadPathTemplates": "下载路径模板",
             "priorityTags": "优先标签",
@@ -323,6 +325,32 @@
                 "saveFailed": "无法保存跳过路径：{message}"
             }
         },
+        "backup": {
+            "autoEnabled": "自动备份",
+            "autoEnabledHelp": "每天创建一次本地快照，并按保留策略保留最新快照。",
+            "retention": "保留数量",
+            "retentionHelp": "在删除旧快照之前，要保留多少个自动快照。",
+            "management": "备份管理",
+            "managementHelp": "导出当前用户状态，或从备份归档中恢复。",
+            "scopeHelp": "备份你的设置、下载历史和模型更新状态。不包含模型文件或可重建的缓存。",
+            "locationSummary": "当前备份位置",
+            "openFolderButton": "打开备份文件夹",
+            "openFolderSuccess": "已打开备份文件夹",
+            "openFolderFailed": "无法打开备份文件夹",
+            "locationCopied": "备份路径已复制到剪贴板：{{path}}",
+            "locationClipboardFallback": "备份路径：{{path}}",
+            "exportButton": "导出备份",
+            "exportSuccess": "备份导出成功。",
+            "exportFailed": "备份导出失败：{message}",
+            "importButton": "导入备份",
+            "importConfirm": "导入此备份并覆盖本地用户状态吗？",
+            "importSuccess": "备份导入成功。",
+            "importFailed": "备份导入失败：{message}",
+            "latestSnapshot": "最近快照",
+            "latestAutoSnapshot": "最近自动快照",
+            "snapshotCount": "已保存快照",
+            "noneAvailable": "还没有快照"
+        },
         "downloadSkipBaseModels": {
             "label": "跳过这些基础模型的下载",
             "help": "适用于所有下载流程。这里只能选择受支持的基础模型。",
@@ -341,6 +369,10 @@
                 "saveFailed": "无法保存已排除的基础模型：{message}"
             }
         },
+        "skipPreviouslyDownloadedModelVersions": {
+            "label": "跳过已下载的模型版本",
+            "help": "启用后，如果下载历史服务记录显示该版本已下载，LoRA Manager 将跳过下载该模型版本。适用于所有下载流程。"
+        },
         "layoutSettings": {
             "displayDensity": "显示密度",
             "displayDensityOptions": {
@@ -389,12 +421,16 @@
             "defaultUnetRootHelp": "设置下载、导入和移动时的默认 Diffusion Model (UNET) 根目录",
             "defaultEmbeddingRoot": "Embedding 根目录",
             "defaultEmbeddingRootHelp": "设置下载、导入和移动时的默认 Embedding 根目录",
+            "recipesPath": "配方存储路径",
+            "recipesPathHelp": "已保存配方的可选自定义目录。留空则使用第一个 LoRA 根目录下的 recipes 文件夹。",
+            "recipesPathPlaceholder": "/path/to/recipes",
+            "recipesPathMigrating": "正在迁移配方存储...",
             "noDefault": "无默认"
         },
         "extraFolderPaths": {
             "title": "额外文件夹路径",
-            "help": "在 ComfyUI 的标准路径之外添加额外的模型文件夹。这些路径单独存储，并与默认文件夹一起扫描。",
-            "description": "配置额外的文件夹以扫描模型。这些路径是 LoRA Manager 特有的，将与 ComfyUI 的默认路径合并。",
+            "description": "LoRA Manager 专属的额外模型根目录。从 ComfyUI 标准文件夹之外的位置加载模型，特别适合管理大型模型库，避免影响 ComfyUI 性能。",
+            "restartRequired": "需要重启才能生效",
             "modelTypes": {
                 "lora": "LoRA 路径",
                 "checkpoint": "Checkpoint 路径",
@@ -402,7 +438,7 @@
                 "embedding": "Embedding 路径"
             },
             "pathPlaceholder": "/额外/模型/路径",
-            "saveSuccess": "额外文件夹路径已更新。",
+            "saveSuccess": "额外文件夹路径已更新，需要重启才能生效。",
             "saveError": "更新额外文件夹路径失败：{message}",
             "validation": {
                 "duplicatePath": "此路径已配置"
@@ -827,7 +863,7 @@
         },
         "contextMenu": {
             "moveToOtherTypeFolder": "移动到 {otherType} 文件夹",
-            "sendToWorkflow": "[TODO: Translate] Send to Workflow"
+            "sendToWorkflow": "发送到工作流"
         }
     },
     "embeddings": {
@@ -921,6 +957,8 @@
             "earlyAccess": "早期访问",
             "earlyAccessTooltip": "需要早期访问权限",
             "inLibrary": "已在库中",
+            "downloaded": "已下载",
+            "downloadedTooltip": "之前已下载，但当前不在你的库中。",
             "alreadyInLibrary": "已存在于库中",
             "autoOrganizedPath": "【已按路径模板自动整理】",
             "errors": {
@@ -1190,17 +1228,30 @@
                     "days": "{count}天后"
                 },
                 "badges": {
-                    "current": "当前版本",
+                    "current": "已打开版本",
+                    "currentTooltip": "这是你用来打开此弹窗的版本",
                     "inLibrary": "已在库中",
+                    "inLibraryTooltip": "此版本已存在于你的本地库中",
+                    "downloaded": "已下载",
+                    "downloadedTooltip": "此版本之前下载过，但当前不在你的本地库中",
                     "newer": "较新的版本",
+                    "newerTooltip": "此版本比你本地的最新版本更新",
                     "earlyAccess": "抢先体验",
-                    "ignored": "已忽略"
+                    "earlyAccessTooltip": "此版本当前需要 Civitai 抢先体验权限",
+                    "ignored": "已忽略",
+                    "ignoredTooltip": "此版本已关闭更新通知"
                 },
                 "actions": {
                     "download": "下载",
+                    "downloadTooltip": "下载此版本",
+                    "downloadEarlyAccessTooltip": "从 Civitai 下载此抢先体验版本",
                     "delete": "删除",
+                    "deleteTooltip": "删除此本地版本",
                     "ignore": "忽略",
                     "unignore": "取消忽略",
+                    "ignoreTooltip": "忽略此版本的更新通知",
+                    "unignoreTooltip": "恢复此版本的更新通知",
+                    "viewVersionOnCivitai": "在 Civitai 上查看版本",
                     "earlyAccessTooltip": "需要购买抢先体验",
                     "resumeModelUpdates": "继续跟踪该模型的更新",
                     "ignoreModelUpdates": "忽略该模型的更新",
@@ -1625,6 +1676,8 @@
             "mappingSaveFailed": "保存基础模型映射失败：{message}",
             "downloadTemplatesUpdated": "下载路径模板已更新",
             "downloadTemplatesFailed": "保存下载路径模板失败：{message}",
+            "recipesPathUpdated": "配方存储路径已更新",
+            "recipesPathSaveFailed": "更新配方存储路径失败：{message}",
             "settingsUpdated": "设置已更新：{setting}",
             "compactModeToggled": "紧凑模式 {state}",
             "settingSaveFailed": "保存设置失败：{message}",
@@ -1768,6 +1821,35 @@
             "moveFailed": "Failed to move item: {message}"
         }
     },
+    "doctor": {
+        "kicker": "系统诊断",
+        "title": "医生",
+        "buttonTitle": "运行诊断并尝试修复常见问题",
+        "loading": "正在检查当前环境...",
+        "footer": "如果修复后问题仍然存在，可以导出诊断包进一步排查。",
+        "summary": {
+            "idle": "检查设置、缓存健康状况和前后端 UI 版本是否一致。",
+            "ok": "当前环境未发现活动问题。",
+            "warning": "发现 {count} 个问题，大多数可以直接在这里处理。",
+            "error": "发现 {count} 个需要尽快处理的问题。"
+        },
+        "status": {
+            "ok": "健康",
+            "warning": "需要关注",
+            "error": "需要处理"
+        },
+        "actions": {
+            "runAgain": "重新检查",
+            "exportBundle": "导出诊断包"
+        },
+        "toast": {
+            "loadFailed": "加载诊断结果失败：{message}",
+            "repairSuccess": "缓存重建完成。",
+            "repairFailed": "缓存重建失败：{message}",
+            "exportSuccess": "诊断包已导出。",
+            "exportFailed": "导出诊断包失败：{message}"
+        }
+    },
     "banners": {
         "versionMismatch": {
             "title": "检测到应用更新",

locales/zh-TW.json

@@ -263,7 +263,9 @@
             "videoSettings": "影片設定",
             "layoutSettings": "版面設定",
             "misc": "其他",
+            "backup": "備份",
             "folderSettings": "預設根目錄",
+            "recipeSettings": "配方",
             "extraFolderPaths": "額外資料夾路徑",
             "downloadPathTemplates": "下載路徑範本",
             "priorityTags": "優先標籤",
@@ -323,6 +325,32 @@
                 "saveFailed": "無法儲存跳過路徑：{message}"
             }
         },
+        "backup": {
+            "autoEnabled": "自動備份",
+            "autoEnabledHelp": "每天建立一次本地快照，並依保留政策保留最新快照。",
+            "retention": "保留數量",
+            "retentionHelp": "在刪除舊快照之前，要保留多少自動快照。",
+            "management": "備份管理",
+            "managementHelp": "匯出目前的使用者狀態，或從備份封存中還原。",
+            "scopeHelp": "備份你的設定、下載歷史與模型更新狀態。不包含模型檔案或可重建的快取。",
+            "locationSummary": "目前備份位置",
+            "openFolderButton": "開啟備份資料夾",
+            "openFolderSuccess": "已開啟備份資料夾",
+            "openFolderFailed": "無法開啟備份資料夾",
+            "locationCopied": "備份路徑已複製到剪貼簿：{{path}}",
+            "locationClipboardFallback": "備份路徑：{{path}}",
+            "exportButton": "匯出備份",
+            "exportSuccess": "備份匯出成功。",
+            "exportFailed": "備份匯出失敗：{message}",
+            "importButton": "匯入備份",
+            "importConfirm": "要匯入此備份並覆寫本機使用者狀態嗎？",
+            "importSuccess": "備份匯入成功。",
+            "importFailed": "備份匯入失敗：{message}",
+            "latestSnapshot": "最近快照",
+            "latestAutoSnapshot": "最近自動快照",
+            "snapshotCount": "已儲存快照",
+            "noneAvailable": "目前還沒有快照"
+        },
         "downloadSkipBaseModels": {
             "label": "跳過這些基礎模型的下載",
             "help": "適用於所有下載流程。這裡只能選擇受支援的基礎模型。",
@@ -341,6 +369,10 @@
                 "saveFailed": "無法儲存已排除的基礎模型：{message}"
             }
         },
+        "skipPreviouslyDownloadedModelVersions": {
+            "label": "跳過已下載的模型版本",
+            "help": "啟用後，如果下載歷史服務記錄顯示該版本已下載，LoRA Manager 將跳過下載該模型版本。適用於所有下載流程。"
+        },
         "layoutSettings": {
             "displayDensity": "顯示密度",
             "displayDensityOptions": {
@@ -389,12 +421,16 @@
             "defaultUnetRootHelp": "設定下載、匯入和移動時的預設 Diffusion Model (UNET) 根目錄",
             "defaultEmbeddingRoot": "Embedding 根目錄",
             "defaultEmbeddingRootHelp": "設定下載、匯入和移動時的預設 Embedding 根目錄",
+            "recipesPath": "配方儲存路徑",
+            "recipesPathHelp": "已儲存配方的可選自訂目錄。留空則使用第一個 LoRA 根目錄下的 recipes 資料夾。",
+            "recipesPathPlaceholder": "/path/to/recipes",
+            "recipesPathMigrating": "正在遷移配方儲存...",
             "noDefault": "未設定預設"
         },
         "extraFolderPaths": {
             "title": "額外資料夾路徑",
-            "help": "在 ComfyUI 的標準路徑之外新增額外的模型資料夾。這些路徑單獨儲存，並與預設資料夾一起掃描。",
-            "description": "設定額外的資料夾以掃描模型。這些路徑是 LoRA Manager 特有的，將與 ComfyUI 的預設路徑合併。",
+            "description": "LoRA Manager 專屬的額外模型根目錄。從 ComfyUI 標準資料夾之外的位置載入模型，特別適合管理大型模型庫，避免影響 ComfyUI 效能。",
+            "restartRequired": "Requires restart to take effect",
             "modelTypes": {
                 "lora": "LoRA 路徑",
                 "checkpoint": "Checkpoint 路徑",
@@ -402,7 +438,7 @@
                 "embedding": "Embedding 路徑"
             },
             "pathPlaceholder": "/額外/模型/路徑",
-            "saveSuccess": "額外資料夾路徑已更新。",
+            "saveSuccess": "額外資料夾路徑已更新，需要重啟才能生效。",
             "saveError": "更新額外資料夾路徑失敗：{message}",
             "validation": {
                 "duplicatePath": "此路徑已設定"
@@ -827,7 +863,7 @@
         },
         "contextMenu": {
             "moveToOtherTypeFolder": "移動到 {otherType} 資料夾",
-            "sendToWorkflow": "[TODO: Translate] Send to Workflow"
+            "sendToWorkflow": "傳送到工作流"
         }
     },
     "embeddings": {
@@ -921,6 +957,8 @@
             "earlyAccess": "早期存取",
             "earlyAccessTooltip": "需要早期存取",
             "inLibrary": "已在庫存",
+            "downloaded": "已下載",
+            "downloadedTooltip": "先前已下載，但目前不在你的庫中。",
             "alreadyInLibrary": "已在庫存",
             "autoOrganizedPath": "[依路徑範本自動整理]",
             "errors": {
@@ -1190,17 +1228,30 @@
                     "days": "{count}天後"
                 },
                 "badges": {
-                    "current": "目前版本",
+                    "current": "已開啟版本",
+                    "currentTooltip": "這是你用來開啟此彈窗的版本",
                     "inLibrary": "已在庫中",
+                    "inLibraryTooltip": "此版本已存在於你的本地庫中",
+                    "downloaded": "已下載",
+                    "downloadedTooltip": "此版本之前下載過，但目前不在你的本地庫中",
                     "newer": "較新版本",
+                    "newerTooltip": "此版本比你本地的最新版本更新",
                     "earlyAccess": "搶先體驗",
-                    "ignored": "已忽略"
+                    "earlyAccessTooltip": "此版本目前需要 Civitai 搶先體驗權限",
+                    "ignored": "已忽略",
+                    "ignoredTooltip": "此版本已關閉更新通知"
                 },
                 "actions": {
                     "download": "下載",
+                    "downloadTooltip": "下載此版本",
+                    "downloadEarlyAccessTooltip": "從 Civitai 下載此搶先體驗版本",
                     "delete": "刪除",
+                    "deleteTooltip": "刪除此本地版本",
                     "ignore": "忽略",
                     "unignore": "取消忽略",
+                    "ignoreTooltip": "忽略此版本的更新通知",
+                    "unignoreTooltip": "恢復此版本的更新通知",
+                    "viewVersionOnCivitai": "在 Civitai 上查看版本",
                     "earlyAccessTooltip": "需要購買搶先體驗",
                     "resumeModelUpdates": "恢復追蹤此模型的更新",
                     "ignoreModelUpdates": "忽略此模型的更新",
@@ -1625,6 +1676,8 @@
             "mappingSaveFailed": "儲存基礎模型對應失敗：{message}",
             "downloadTemplatesUpdated": "下載路徑範本已更新",
             "downloadTemplatesFailed": "儲存下載路徑範本失敗：{message}",
+            "recipesPathUpdated": "配方儲存路徑已更新",
+            "recipesPathSaveFailed": "更新配方儲存路徑失敗：{message}",
             "settingsUpdated": "設定已更新：{setting}",
             "compactModeToggled": "緊湊模式已{state}",
             "settingSaveFailed": "儲存設定失敗：{message}",
@@ -1768,6 +1821,35 @@
             "moveFailed": "Failed to move item: {message}"
         }
     },
+    "doctor": {
+        "kicker": "系統診斷",
+        "title": "醫生",
+        "buttonTitle": "執行診斷與常見修復",
+        "loading": "正在檢查環境...",
+        "footer": "如果修復後問題仍然存在，請匯出診斷套件。",
+        "summary": {
+            "idle": "針對設定、快取完整性與 UI 一致性執行健康檢查。",
+            "ok": "目前環境中未發現任何活動中的問題。",
+            "warning": "找到 {count} 個問題。大多可以直接在此面板修復。",
+            "error": "應先處理 {count} 個問題，應用程式才能完全正常。"
+        },
+        "status": {
+            "ok": "健康",
+            "warning": "需要注意",
+            "error": "需要處理"
+        },
+        "actions": {
+            "runAgain": "重新執行",
+            "exportBundle": "匯出套件"
+        },
+        "toast": {
+            "loadFailed": "載入診斷失敗：{message}",
+            "repairSuccess": "快取重建完成。",
+            "repairFailed": "快取重建失敗：{message}",
+            "exportSuccess": "診斷套件已匯出。",
+            "exportFailed": "匯出診斷套件失敗：{message}"
+        }
+    },
     "banners": {
         "versionMismatch": {
             "title": "偵測到應用程式更新",

py/config.py

@@ -134,6 +134,7 @@ class Config:
         self.extra_checkpoints_roots: List[str] = []
         self.extra_unet_roots: List[str] = []
         self.extra_embeddings_roots: List[str] = []
+        self.recipes_path: str = ""
         # Scan symbolic links during initialization
         self._initialize_symlink_mappings()
 
@@ -652,6 +653,8 @@ class Config:
             preview_roots.update(self._expand_preview_root(root))
         for root in self.extra_embeddings_roots or []:
             preview_roots.update(self._expand_preview_root(root))
+        if self.recipes_path:
+            preview_roots.update(self._expand_preview_root(self.recipes_path))
 
         for target, link in self._path_mappings.items():
             preview_roots.update(self._expand_preview_root(target))
@@ -911,9 +914,11 @@ class Config:
         self,
         folder_paths: Mapping[str, Iterable[str]],
         extra_folder_paths: Optional[Mapping[str, Iterable[str]]] = None,
+        recipes_path: str = "",
     ) -> None:
         self._path_mappings.clear()
         self._preview_root_paths = set()
+        self.recipes_path = recipes_path if isinstance(recipes_path, str) else ""
 
         lora_paths = folder_paths.get("loras", []) or []
         checkpoint_paths = folder_paths.get("checkpoints", []) or []
@@ -1169,7 +1174,12 @@ class Config:
         if not isinstance(extra_folder_paths, Mapping):
             extra_folder_paths = None
 
-        self._apply_library_paths(folder_paths, extra_folder_paths)
+        recipes_path = (
+            str(library_config.get("recipes_path", ""))
+            if isinstance(library_config, Mapping)
+            else ""
+        )
+        self._apply_library_paths(folder_paths, extra_folder_paths, recipes_path)
 
         logger.info(
             "Applied library settings with %d lora roots (%d extra), %d checkpoint roots (%d extra), and %d embedding roots (%d extra)",

py/lora_manager.py

@@ -222,6 +222,7 @@ class LoraManager:
 
             # Register DownloadManager with ServiceRegistry
             await ServiceRegistry.get_download_manager()
+            await ServiceRegistry.get_backup_service()
 
             from .services.metadata_service import initialize_metadata_providers
 

py/metadata_collector/metadata_processor.py

@@ -595,6 +595,15 @@ class MetadataProcessor:
                     if negative_node_id and negative_node_id in metadata.get(PROMPTS, {}):
                         params["negative_prompt"] = metadata[PROMPTS][negative_node_id].get("text", "")
                 else:
-                    positive_node_id = MetadataProcessor.trace_node_input(prompt, guider_node_id, "conditioning", max_depth=10)
+                    # Generic guider nodes often expose separate positive/negative inputs.
+                    positive_node_id = MetadataProcessor.trace_node_input(prompt, guider_node_id, "positive", max_depth=10)
+                    if not positive_node_id:
+                        positive_node_id = MetadataProcessor.trace_node_input(prompt, guider_node_id, "conditioning", max_depth=10)
                     if positive_node_id and positive_node_id in metadata.get(PROMPTS, {}):
                         params["prompt"] = metadata[PROMPTS][positive_node_id].get("text", "")
+
+                    negative_node_id = MetadataProcessor.trace_node_input(prompt, guider_node_id, "negative", max_depth=10)
+                    if not negative_node_id:
+                        negative_node_id = MetadataProcessor.trace_node_input(prompt, guider_node_id, "conditioning", max_depth=10)
+                    if negative_node_id and negative_node_id in metadata.get(PROMPTS, {}):
+                        params["negative_prompt"] = metadata[PROMPTS][negative_node_id].get("text", "")

py/metadata_collector/node_extractors.py

@@ -1,4 +1,6 @@
+import json
 import os
+import re
 
 from .constants import MODELS, PROMPTS, SAMPLING, LORAS, SIZE, IMAGES, IS_SAMPLER
 
@@ -427,6 +429,75 @@ class ImageSizeExtractor(NodeMetadataExtractor):
             "node_id": node_id
         }
 
+class RgthreePowerLoraLoaderExtractor(NodeMetadataExtractor):
+    """Extract LoRA metadata from rgthree Power Lora Loader.
+
+    The node passes LoRAs as dynamic kwargs: LORA_1, LORA_2, ... each containing
+    {'on': bool, 'lora': filename, 'strength': float, 'strengthTwo': float}.
+    """
+    @staticmethod
+    def extract(node_id, inputs, outputs, metadata):
+        if not inputs:
+            return
+
+        active_loras = []
+        for key, value in inputs.items():
+            if not key.upper().startswith('LORA_'):
+                continue
+            if not isinstance(value, dict):
+                continue
+            if not value.get('on') or not value.get('lora'):
+                continue
+            lora_name = os.path.splitext(os.path.basename(value['lora']))[0]
+            active_loras.append({
+                "name": lora_name,
+                "strength": round(float(value.get('strength', 1.0)), 2)
+            })
+
+        if active_loras:
+            metadata[LORAS][node_id] = {
+                "lora_list": active_loras,
+                "node_id": node_id
+            }
+
+
+class TensorRTLoaderExtractor(NodeMetadataExtractor):
+    """Extract checkpoint metadata from TensorRT Loader.
+
+    extract() parses the engine filename from 'unet_name' as a best-effort
+    fallback (strips profile suffix after '_$' and counter suffix).
+
+    update() checks if the output MODEL has attachments["source_model"]
+    set by the node (NubeBuster fork) and overrides with the real name.
+    Vanilla TRT doesn't set this — the filename parse stands.
+    """
+    @staticmethod
+    def extract(node_id, inputs, outputs, metadata):
+        if not inputs or "unet_name" not in inputs:
+            return
+        unet_name = inputs.get("unet_name")
+        # Strip path and extension, then drop the $_profile suffix
+        model_name = os.path.splitext(os.path.basename(unet_name))[0]
+        if "_$" in model_name:
+            model_name = model_name[:model_name.index("_$")]
+        # Strip counter suffix (e.g. _00001_) left by ComfyUI's save path
+        model_name = re.sub(r'_\d+_?$', '', model_name)
+        _store_checkpoint_metadata(metadata, node_id, model_name)
+
+    @staticmethod
+    def update(node_id, outputs, metadata):
+        if not outputs or not isinstance(outputs, list) or len(outputs) == 0:
+            return
+        first_output = outputs[0]
+        if not isinstance(first_output, tuple) or len(first_output) < 1:
+            return
+        model = first_output[0]
+        # NubeBuster fork sets attachments["source_model"] on the ModelPatcher
+        source_model = getattr(model, 'attachments', {}).get("source_model")
+        if source_model:
+            _store_checkpoint_metadata(metadata, node_id, source_model)
+
+
 class LoraLoaderManagerExtractor(NodeMetadataExtractor):
     @staticmethod
     def extract(node_id, inputs, outputs, metadata):
@@ -577,8 +648,6 @@ class SamplerCustomAdvancedExtractor(BaseSamplerExtractor):
         # Extract latent dimensions
         BaseSamplerExtractor.extract_latent_dimensions(node_id, inputs, metadata)
 
-import json
-
 class CLIPTextEncodeFluxExtractor(NodeMetadataExtractor):
     @staticmethod
     def extract(node_id, inputs, outputs, metadata):
@@ -715,8 +784,11 @@ NODE_EXTRACTORS = {
     "UnetLoaderGGUF": UNETLoaderExtractor,  # Updated to use dedicated extractor
     "LoraLoader": LoraLoaderExtractor,
     "LoraLoaderLM": LoraLoaderManagerExtractor,
+    "RgthreePowerLoraLoader": RgthreePowerLoraLoaderExtractor,
+    "TensorRTLoader": TensorRTLoaderExtractor,
     # Conditioning
     "CLIPTextEncode": CLIPTextEncodeExtractor,
+    "CLIPTextEncodeAttentionBias": CLIPTextEncodeExtractor,  # From https://github.com/silveroxides/ComfyUI_PromptAttention
     "PromptLM": CLIPTextEncodeExtractor,
     "CLIPTextEncodeFlux": CLIPTextEncodeFluxExtractor,  # Add CLIPTextEncodeFlux
     "WAS_Text_to_Conditioning": CLIPTextEncodeExtractor,

py/middleware/csp_middleware.py

@@ -4,15 +4,21 @@ from typing import Awaitable, Callable, Dict, List
 
 from aiohttp import web
 
+# Use wildcard for CivitAI to support their CDN subdomains (e.g., image-b2.civitai.com)
+# Security note: This is acceptable because:
+# 1. CSP img-src only controls image/video loading, not script execution
+# 2. All *.civitai.com subdomains are controlled by Civitai
+# 3. Explicit domain list would require constant updates as Civitai adds CDN nodes
 REMOTE_MEDIA_SOURCES = (
-    "https://image.civitai.com",
+    "https://*.civitai.com",
     "https://img.genur.art",
 )
 
 
 @web.middleware
 async def relax_csp_for_remote_media(
-    request: web.Request, handler: Callable[[web.Request], Awaitable[web.StreamResponse]]
+    request: web.Request,
+    handler: Callable[[web.Request], Awaitable[web.StreamResponse]],
 ) -> web.StreamResponse:
     """Allow LoRA Manager media previews to load from trusted remote domains.
 
@@ -43,7 +49,9 @@ async def relax_csp_for_remote_media(
             directive_order.append(name)
         directives[name] = values
 
-    def merge_sources(name: str, sources: List[str], defaults: List[str] | None = None) -> None:
+    def merge_sources(
+        name: str, sources: List[str], defaults: List[str] | None = None
+    ) -> None:
         existing = directives.get(name, list(defaults or []))
 
         for source in sources:

py/nodes/prompt.py

@@ -1,15 +1,38 @@
+from __future__ import annotations
+
 from typing import Any
 import inspect
 
+from ..services.wildcard_service import (
+    contains_dynamic_syntax,
+    get_wildcard_service,
+    is_trigger_words_input,
+)
 
-class _AllContainer:
-    """Container that accepts any key for dynamic input validation."""
 
-    def __contains__(self, item):
-        return True
+class _PromptOptionalInputs:
+    """Lookup that preserves explicit optional inputs and dynamic trigger slots."""
 
-    def __getitem__(self, key):
-        return ("STRING", {"forceInput": True})
+    def __init__(self, explicit_inputs: dict[str, tuple[str, dict[str, Any]]]) -> None:
+        self._explicit_inputs = explicit_inputs
+
+    def __contains__(self, item: object) -> bool:
+        if not isinstance(item, str):
+            return False
+        return item in self._explicit_inputs or is_trigger_words_input(item)
+
+    def __getitem__(self, key: str) -> tuple[str, dict[str, Any]]:
+        if key in self._explicit_inputs:
+            return self._explicit_inputs[key]
+        if is_trigger_words_input(key):
+            return (
+                "STRING",
+                {
+                    "forceInput": True,
+                    "tooltip": "Trigger words to prepend. Connect to add more inputs.",
+                },
+            )
+        raise KeyError(key)
 
 
 class PromptLM:
@@ -20,12 +43,19 @@ class PromptLM:
     DESCRIPTION = (
         "Encodes a text prompt using a CLIP model into an embedding that can be used "
         "to guide the diffusion model towards generating specific images. "
-        "Supports dynamic trigger words inputs."
+        "Supports dynamic trigger words inputs and runtime wildcard expansion."
     )
 
     @classmethod
     def INPUT_TYPES(cls):
-        dyn_inputs = {
+        optional_inputs: dict[str, tuple[str, dict[str, Any]]] = {
+            "seed": (
+                "INT",
+                {
+                    "forceInput": True,
+                    "tooltip": "Optional seed for wildcard generation. Leave unconnected for non-deterministic wildcard expansion.",
+                },
+            ),
             "trigger_words1": (
                 "STRING",
                 {
@@ -35,10 +65,9 @@ class PromptLM:
             ),
         }
 
-        # Bypass validation for dynamic inputs during graph execution
         stack = inspect.stack()
         if len(stack) > 2 and stack[2].function == "get_input_info":
-            dyn_inputs = _AllContainer()
+            optional_inputs = _PromptOptionalInputs(optional_inputs)  # type: ignore[assignment]
 
         return {
             "required": {
@@ -46,8 +75,8 @@ class PromptLM:
                     "AUTOCOMPLETE_TEXT_PROMPT,STRING",
                     {
                         "widgetType": "AUTOCOMPLETE_TEXT_PROMPT",
-                        "placeholder": "Enter prompt... /char, /artist for quick tag search",
-                        "tooltip": "The text to be encoded.",
+                        "placeholder": "Enter prompt... /character, /artist, /wildcard for quick search",
+                        "tooltip": "The text to be encoded. Wildcard references inserted with /wildcard are expanded at runtime.",
                     },
                 ),
                 "clip": (
@@ -55,7 +84,7 @@ class PromptLM:
                     {"tooltip": "The CLIP model used for encoding the text."},
                 ),
             },
-            "optional": dyn_inputs,
+            "optional": optional_inputs,
         }
 
     RETURN_TYPES = ("CONDITIONING", "STRING")
@@ -65,20 +94,39 @@ class PromptLM:
     )
     FUNCTION = "encode"
 
-    def encode(self, text: str, clip: Any, **kwargs):
-        # Collect all trigger words from dynamic inputs
+    @classmethod
+    def IS_CHANGED(
+        cls,
+        text: str,
+        clip: Any | None = None,
+        seed: int | None = None,
+        **kwargs: Any,
+    ):
+        del clip, kwargs
+        if contains_dynamic_syntax(text) and seed is None:
+            return float("NaN")
+        return False
+
+    def encode(
+        self,
+        text: str,
+        clip: Any,
+        seed: int | None = None,
+        **kwargs: Any,
+    ):
+        expanded_text = get_wildcard_service().expand_text(text, seed=seed)
+
         trigger_words = []
         for key, value in kwargs.items():
-            if key.startswith("trigger_words") and value:
+            if is_trigger_words_input(key) and value:
                 trigger_words.append(value)
 
-        # Build final prompt
         if trigger_words:
-            prompt = ", ".join(trigger_words + [text])
+            prompt = ", ".join(trigger_words + [expanded_text])
         else:
-            prompt = text
+            prompt = expanded_text
 
         from nodes import CLIPTextEncode  # type: ignore
 
         conditioning = CLIPTextEncode().encode(clip, prompt)[0]
-        return (conditioning, prompt)
+        return (conditioning, prompt)

py/nodes/text.py

@@ -1,10 +1,15 @@
+from __future__ import annotations
+
+from ..services.wildcard_service import contains_dynamic_syntax, get_wildcard_service
+
+
 class TextLM:
     """A simple text node with autocomplete support."""
 
     NAME = "Text (LoraManager)"
     CATEGORY = "Lora Manager/utils"
     DESCRIPTION = (
-        "A simple text input node with autocomplete support for tags and styles."
+        "A simple text input node with autocomplete support for tags, styles, and wildcard expansion."
     )
 
     @classmethod
@@ -15,8 +20,17 @@ class TextLM:
                     "AUTOCOMPLETE_TEXT_PROMPT,STRING",
                     {
                         "widgetType": "AUTOCOMPLETE_TEXT_PROMPT",
-                        "placeholder": "Enter text... /char, /artist for quick tag search",
-                        "tooltip": "The text output.",
+                        "placeholder": "Enter text... /character, /artist, /wildcard for quick search",
+                        "tooltip": "The text output. Wildcard references inserted with /wildcard are expanded at runtime.",
+                    },
+                ),
+            },
+            "optional": {
+                "seed": (
+                    "INT",
+                    {
+                        "forceInput": True,
+                        "tooltip": "Optional seed for wildcard generation. Leave unconnected for non-deterministic wildcard expansion.",
                     },
                 ),
             },
@@ -24,10 +38,14 @@ class TextLM:
 
     RETURN_TYPES = ("STRING",)
     RETURN_NAMES = ("STRING",)
-    OUTPUT_TOOLTIPS = (
-        "The text output.",
-    )
+    OUTPUT_TOOLTIPS = ("The text output.",)
     FUNCTION = "process"
 
-    def process(self, text: str):
-        return (text,)
+    @classmethod
+    def IS_CHANGED(cls, text: str, seed: int | None = None):
+        if contains_dynamic_syntax(text) and seed is None:
+            return float("NaN")
+        return False
+
+    def process(self, text: str, seed: int | None = None):
+        return (get_wildcard_service().expand_text(text, seed=seed),)

py/recipes/constants.py

@@ -13,4 +13,5 @@ GEN_PARAM_KEYS = [
     'seed',
     'size',
     'clip_skip',
+    'denoising_strength',
 ]

py/recipes/merger.py

@@ -1,27 +1,33 @@
 from typing import Any, Dict, Optional
 import logging
 
+from .constants import GEN_PARAM_KEYS
+
 logger = logging.getLogger(__name__)
 
+
 class GenParamsMerger:
     """Utility to merge generation parameters from multiple sources with priority."""
 
+    ALLOWED_KEYS = set(GEN_PARAM_KEYS)
+
     BLACKLISTED_KEYS = {
         "id", "url", "userId", "username", "createdAt", "updatedAt", "hash", "meta",
         "draft", "extra", "width", "height", "process", "quantity", "workflow",
         "baseModel", "resources", "disablePoi", "aspectRatio", "Created Date",
         "experimental", "civitaiResources", "civitai_resources", "Civitai resources",
         "modelVersionId", "modelId", "hashes", "Model", "Model hash", "checkpoint_hash",
-        "checkpoint", "checksum", "model_checksum"
+        "checkpoint", "checksum", "model_checksum", "raw_metadata",
     }
-    
+
     NORMALIZATION_MAPPING = {
-        # Civitai specific
+        "cfg": "cfg_scale",
         "cfgScale": "cfg_scale",
         "clipSkip": "clip_skip",
         "negativePrompt": "negative_prompt",
-        # Case variations
         "Sampler": "sampler",
+        "sampler_name": "sampler",
+        "scheduler": "sampler",
         "Steps": "steps",
         "Seed": "seed",
         "Size": "size",
@@ -36,63 +42,40 @@ class GenParamsMerger:
     def merge(
         request_params: Optional[Dict[str, Any]] = None,
         civitai_meta: Optional[Dict[str, Any]] = None,
-        embedded_metadata: Optional[Dict[str, Any]] = None
+        embedded_metadata: Optional[Dict[str, Any]] = None,
     ) -> Dict[str, Any]:
         """
         Merge generation parameters from three sources.
-        
-        Priority: request_params > civitai_meta > embedded_metadata
-        
-        Args:
-            request_params: Params provided directly in the import request
-            civitai_meta: Params from Civitai Image API 'meta' field
-            embedded_metadata: Params extracted from image EXIF/embedded metadata
-            
-        Returns:
-            Merged parameters dictionary
-        """
-        result = {}
 
-        # 1. Start with embedded metadata (lowest priority)
+        Priority: request_params > civitai_meta > embedded_metadata
+        """
+        result: Dict[str, Any] = {}
+
         if embedded_metadata:
-            # If it's a full recipe metadata, we use its gen_params
-            if "gen_params" in embedded_metadata and isinstance(embedded_metadata["gen_params"], dict):
+            if "gen_params" in embedded_metadata and isinstance(
+                embedded_metadata["gen_params"], dict
+            ):
                 GenParamsMerger._update_normalized(result, embedded_metadata["gen_params"])
             else:
-                # Otherwise assume the dict itself contains gen_params
                 GenParamsMerger._update_normalized(result, embedded_metadata)
 
-        # 2. Layer Civitai meta (medium priority)
         if civitai_meta:
             GenParamsMerger._update_normalized(result, civitai_meta)
 
-        # 3. Layer request params (highest priority)
         if request_params:
             GenParamsMerger._update_normalized(result, request_params)
 
-        # Filter out blacklisted keys and also the original camelCase keys if they were normalized
-        final_result = {}
-        for k, v in result.items():
-            if k in GenParamsMerger.BLACKLISTED_KEYS:
-                continue
-            if k in GenParamsMerger.NORMALIZATION_MAPPING:
-                continue
-            final_result[k] = v
-            
-        return final_result
+        return result
 
     @staticmethod
     def _update_normalized(target: Dict[str, Any], source: Dict[str, Any]) -> None:
-        """Update target dict with normalized keys from source."""
-        for k, v in source.items():
-            normalized_key = GenParamsMerger.NORMALIZATION_MAPPING.get(k, k)
-            target[normalized_key] = v
-            # Also keep the original key for now if it's not the same, 
-            # so we can filter at the end or avoid losing it if it wasn't supposed to be renamed?
-            # Actually, if we rename it, we should probably NOT keep both in 'target' 
-            # because we want to filter them out at the end anyway.
-            if normalized_key != k:
-                # If we are overwriting an existing snake_case key with a camelCase one's value,
-                # that's fine because of the priority order of calls to _update_normalized.
-                pass
-            target[k] = v
+        """Update target dict with normalized, persistence-safe keys from source."""
+        for key, value in source.items():
+            if key in GenParamsMerger.BLACKLISTED_KEYS:
+                continue
+
+            normalized_key = GenParamsMerger.NORMALIZATION_MAPPING.get(key, key)
+            if normalized_key not in GenParamsMerger.ALLOWED_KEYS:
+                continue
+
+            target[normalized_key] = value

py/routes/handlers/model_handlers.py

@@ -19,6 +19,7 @@ from ...services.download_coordinator import DownloadCoordinator
 from ...services.metadata_sync_service import MetadataSyncService
 from ...services.model_file_service import ModelMoveService
 from ...services.preview_asset_service import PreviewAssetService
+from ...services.service_registry import ServiceRegistry
 from ...services.settings_manager import SettingsManager, get_settings_manager
 from ...services.tag_update_service import TagUpdateService
 from ...services.use_cases import (
@@ -64,7 +65,6 @@ class ModelPageView:
         self._settings = settings_service
         self._server_i18n = server_i18n
         self._logger = logger
-        self._app_version = self._get_app_version()
 
     def _load_supporters(self) -> dict:
         """Load supporters data from JSON file."""
@@ -155,7 +155,7 @@ class ModelPageView:
                 "request": request,
                 "folders": [],
                 "t": self._server_i18n.get_translation,
-                "version": self._app_version,
+                "version": self._get_app_version(),
             }
 
             if not is_initializing:
@@ -1532,6 +1532,20 @@ class ModelCivitaiHandler:
 
             cache = await self._service.scanner.get_cached_data()
             version_index = cache.version_index
+            downloaded_version_ids: set[int] = set()
+            try:
+                history_service = await ServiceRegistry.get_downloaded_version_history_service()
+                downloaded_version_ids = set(
+                    await history_service.get_downloaded_version_ids(
+                        self._service.model_type,
+                        model_id,
+                    )
+                )
+            except Exception as exc:  # pragma: no cover - defensive logging
+                self._logger.debug(
+                    "Failed to load download history for CivitAI versions: %s",
+                    exc,
+                )
 
             for version in versions:
                 version_id = None
@@ -1548,6 +1562,9 @@ class ModelCivitaiHandler:
                     else None
                 )
                 version["existsLocally"] = cache_entry is not None
+                version["hasBeenDownloaded"] = (
+                    version_id in downloaded_version_ids if version_id is not None else False
+                )
                 if cache_entry and isinstance(cache_entry, Mapping):
                     local_path = cache_entry.get("file_path")
                     if local_path:
@@ -2266,7 +2283,7 @@ class ModelUpdateHandler:
         self,
         record,
         *,
-        version_context: Optional[Dict[int, Dict[str, Optional[str]]]] = None,
+        version_context: Optional[Dict[int, Dict[str, Any]]] = None,
     ) -> Dict:
         context = version_context or {}
         # Check user setting for hiding early access versions
@@ -2295,7 +2312,7 @@ class ModelUpdateHandler:
 
     @staticmethod
     def _serialize_version(
-        version, context: Optional[Dict[str, Optional[str]]]
+        version, context: Optional[Dict[str, Any]]
     ) -> Dict:
         context = context or {}
         preview_override = context.get("preview_override")
@@ -2329,6 +2346,7 @@ class ModelUpdateHandler:
             "sizeBytes": version.size_bytes,
             "previewUrl": preview_url,
             "isInLibrary": version.is_in_library,
+            "hasBeenDownloaded": bool(context.get("has_been_downloaded", False)),
             "shouldIgnore": version.should_ignore,
             "earlyAccessEndsAt": version.early_access_ends_at,
             "isEarlyAccess": is_early_access,
@@ -2338,8 +2356,31 @@ class ModelUpdateHandler:
 
     async def _build_version_context(
         self, record
-    ) -> Dict[int, Dict[str, Optional[str]]]:
-        context: Dict[int, Dict[str, Optional[str]]] = {}
+    ) -> Dict[int, Dict[str, Any]]:
+        context: Dict[int, Dict[str, Any]] = {}
+        downloaded_version_ids: set[int] = set()
+        try:
+            history_service = await ServiceRegistry.get_downloaded_version_history_service()
+            downloaded_version_ids = set(
+                await history_service.get_downloaded_version_ids(
+                    record.model_type,
+                    record.model_id,
+                )
+            )
+        except Exception as exc:  # pragma: no cover - defensive logging
+            self._logger.debug(
+                "Failed to load download history while building version context: %s",
+                exc,
+            )
+
+        for version in record.versions:
+            context[version.version_id] = {
+                "file_path": None,
+                "file_name": None,
+                "preview_override": None,
+                "has_been_downloaded": version.version_id in downloaded_version_ids,
+            }
+
         try:
             cache = await self._service.scanner.get_cached_data()
         except Exception as exc:  # pragma: no cover - defensive logging
@@ -2358,16 +2399,21 @@ class ModelUpdateHandler:
             cache_entry = version_index.get(version.version_id)
             if isinstance(cache_entry, Mapping):
                 preview = cache_entry.get("preview_url")
-                context_entry: Dict[str, Optional[str]] = {
-                    "file_path": cache_entry.get("file_path"),
-                    "file_name": cache_entry.get("file_name"),
-                    "preview_override": None,
-                }
+                context_entry = context.setdefault(
+                    version.version_id,
+                    {
+                        "file_path": None,
+                        "file_name": None,
+                        "preview_override": None,
+                        "has_been_downloaded": version.version_id in downloaded_version_ids,
+                    },
+                )
+                context_entry["file_path"] = cache_entry.get("file_path")
+                context_entry["file_name"] = cache_entry.get("file_name")
                 if isinstance(preview, str) and preview:
                     context_entry["preview_override"] = config.get_preview_static_url(
                         preview
                     )
-                context[version.version_id] = context_entry
         return context
 
 

py/routes/handlers/recipe_handlers.py

@@ -756,6 +756,14 @@ class RecipeManagementHandler:
             )
             gen_params_request = self._parse_gen_params(params.get("gen_params"))
 
+            self._logger.info(
+                "Remote recipe import received: url=%s, request_gen_params_keys=%s, lora_count=%d, checkpoint_keys=%s",
+                image_url,
+                sorted(gen_params_request.keys()) if gen_params_request else [],
+                len(lora_entries),
+                sorted(checkpoint_entry.keys()) if isinstance(checkpoint_entry, dict) else [],
+            )
+
             # 2. Initial Metadata Construction
             metadata: Dict[str, Any] = {
                 "base_model": params.get("base_model", "") or "",

py/routes/misc_route_registrar.py

@@ -22,11 +22,16 @@ class RouteDefinition:
 MISC_ROUTE_DEFINITIONS: tuple[RouteDefinition, ...] = (
     RouteDefinition("GET", "/api/lm/settings", "get_settings"),
     RouteDefinition("POST", "/api/lm/settings", "update_settings"),
+    RouteDefinition("GET", "/api/lm/doctor/diagnostics", "get_doctor_diagnostics"),
+    RouteDefinition("POST", "/api/lm/doctor/repair-cache", "repair_doctor_cache"),
+    RouteDefinition("POST", "/api/lm/doctor/export-bundle", "export_doctor_bundle"),
     RouteDefinition("GET", "/api/lm/priority-tags", "get_priority_tags"),
     RouteDefinition("GET", "/api/lm/settings/libraries", "get_settings_libraries"),
     RouteDefinition("POST", "/api/lm/settings/libraries/activate", "activate_library"),
     RouteDefinition("GET", "/api/lm/health-check", "health_check"),
     RouteDefinition("GET", "/api/lm/supporters", "get_supporters"),
+    RouteDefinition("GET", "/api/lm/wildcards/search", "search_wildcards"),
+    RouteDefinition("POST", "/api/lm/wildcards/open-location", "open_wildcards_location"),
     RouteDefinition("POST", "/api/lm/open-file-location", "open_file_location"),
     RouteDefinition("POST", "/api/lm/update-usage-stats", "update_usage_stats"),
     RouteDefinition("GET", "/api/lm/get-usage-stats", "get_usage_stats"),
@@ -37,6 +42,21 @@ MISC_ROUTE_DEFINITIONS: tuple[RouteDefinition, ...] = (
     RouteDefinition("POST", "/api/lm/update-node-widget", "update_node_widget"),
     RouteDefinition("GET", "/api/lm/get-registry", "get_registry"),
     RouteDefinition("GET", "/api/lm/check-model-exists", "check_model_exists"),
+    RouteDefinition(
+        "GET",
+        "/api/lm/model-version-download-status",
+        "get_model_version_download_status",
+    ),
+    RouteDefinition(
+        "POST",
+        "/api/lm/model-version-download-status",
+        "set_model_version_download_status",
+    ),
+    RouteDefinition(
+        "GET",
+        "/api/lm/set-model-version-download-status",
+        "set_model_version_download_status",
+    ),
     RouteDefinition("GET", "/api/lm/civitai/user-models", "get_civitai_user_models"),
     RouteDefinition(
         "POST", "/api/lm/download-metadata-archive", "download_metadata_archive"
@@ -47,6 +67,10 @@ MISC_ROUTE_DEFINITIONS: tuple[RouteDefinition, ...] = (
     RouteDefinition(
         "GET", "/api/lm/metadata-archive-status", "get_metadata_archive_status"
     ),
+    RouteDefinition("GET", "/api/lm/backup/status", "get_backup_status"),
+    RouteDefinition("POST", "/api/lm/backup/export", "export_backup"),
+    RouteDefinition("POST", "/api/lm/backup/import", "import_backup"),
+    RouteDefinition("POST", "/api/lm/backup/open-location", "open_backup_location"),
     RouteDefinition(
         "GET", "/api/lm/model-versions-status", "get_model_versions_status"
     ),

py/routes/misc_routes.py

@@ -19,10 +19,12 @@ from ..services.downloader import get_downloader
 from ..utils.usage_stats import UsageStats
 from .handlers.misc_handlers import (
     CustomWordsHandler,
+    DoctorHandler,
     ExampleWorkflowsHandler,
     FileSystemHandler,
     HealthCheckHandler,
     LoraCodeHandler,
+    BackupHandler,
     MetadataArchiveHandler,
     MiscHandlerSet,
     ModelExampleFilesHandler,
@@ -33,6 +35,7 @@ from .handlers.misc_handlers import (
     SupportersHandler,
     TrainedWordsHandler,
     UsageStatsHandler,
+    WildcardsHandler,
     build_service_registry_adapter,
 )
 from .handlers.base_model_handlers import BaseModelHandlerSet
@@ -116,6 +119,7 @@ class MiscRoutes:
             settings_service=self._settings,
             metadata_provider_updater=self._metadata_provider_updater,
         )
+        backup = BackupHandler()
         filesystem = FileSystemHandler(settings_service=self._settings)
         node_registry_handler = NodeRegistryHandler(
             node_registry=self._node_registry,
@@ -127,7 +131,9 @@ class MiscRoutes:
             metadata_provider_factory=self._metadata_provider_factory,
         )
         custom_words = CustomWordsHandler()
+        wildcards = WildcardsHandler()
         supporters = SupportersHandler()
+        doctor = DoctorHandler(settings_service=self._settings)
         example_workflows = ExampleWorkflowsHandler()
         base_model = BaseModelHandlerSet()
 
@@ -141,9 +147,12 @@ class MiscRoutes:
             node_registry=node_registry_handler,
             model_library=model_library,
             metadata_archive=metadata_archive,
+            backup=backup,
             filesystem=filesystem,
             custom_words=custom_words,
+            wildcards=wildcards,
             supporters=supporters,
+            doctor=doctor,
             example_workflows=example_workflows,
             base_model=base_model,
         )

py/services/backup_service.py

@@ -0,0 +1,411 @@
+from __future__ import annotations
+
+import asyncio
+import contextlib
+import hashlib
+import json
+import logging
+import os
+import shutil
+import tempfile
+import time
+import zipfile
+from dataclasses import dataclass
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Any, Iterable, Optional
+
+from ..utils.cache_paths import CacheType, get_cache_base_dir, get_cache_file_path
+from ..utils.settings_paths import get_settings_dir
+from .settings_manager import get_settings_manager
+
+logger = logging.getLogger(__name__)
+
+
+BACKUP_MANIFEST_VERSION = 1
+DEFAULT_BACKUP_RETENTION_COUNT = 5
+DEFAULT_BACKUP_INTERVAL_SECONDS = 24 * 60 * 60
+
+
+@dataclass(frozen=True)
+class BackupEntry:
+    kind: str
+    archive_path: str
+    target_path: str
+    sha256: str
+    size: int
+    mtime: float
+
+
+class BackupService:
+    """Create and restore user-state backup archives."""
+
+    _instance: "BackupService | None" = None
+    _instance_lock = asyncio.Lock()
+
+    def __init__(self, *, settings_manager=None, backup_dir: str | None = None) -> None:
+        self._settings = settings_manager or get_settings_manager()
+        self._backup_dir = Path(backup_dir or self._resolve_backup_dir())
+        self._backup_dir.mkdir(parents=True, exist_ok=True)
+        self._lock = asyncio.Lock()
+        self._auto_task: asyncio.Task[None] | None = None
+
+    @classmethod
+    async def get_instance(cls) -> "BackupService":
+        async with cls._instance_lock:
+            if cls._instance is None:
+                cls._instance = cls()
+            cls._instance._ensure_auto_snapshot_task()
+            return cls._instance
+
+    @staticmethod
+    def _resolve_backup_dir() -> str:
+        return os.path.join(get_settings_dir(create=True), "backups")
+
+    def get_backup_dir(self) -> str:
+        return str(self._backup_dir)
+
+    def _ensure_auto_snapshot_task(self) -> None:
+        if self._auto_task is not None and not self._auto_task.done():
+            return
+
+        try:
+            loop = asyncio.get_running_loop()
+        except RuntimeError:
+            return
+
+        self._auto_task = loop.create_task(self._auto_backup_loop())
+
+    def _get_setting_bool(self, key: str, default: bool) -> bool:
+        try:
+            return bool(self._settings.get(key, default))
+        except Exception:
+            return default
+
+    def _get_setting_int(self, key: str, default: int) -> int:
+        try:
+            value = self._settings.get(key, default)
+            return max(1, int(value))
+        except Exception:
+            return default
+
+    def _settings_file_path(self) -> str:
+        settings_file = getattr(self._settings, "settings_file", None)
+        if settings_file:
+            return str(settings_file)
+        return os.path.join(get_settings_dir(create=True), "settings.json")
+
+    def _download_history_path(self) -> str:
+        base_dir = get_cache_base_dir(create=True)
+        history_dir = os.path.join(base_dir, "download_history")
+        os.makedirs(history_dir, exist_ok=True)
+        return os.path.join(history_dir, "downloaded_versions.sqlite")
+
+    def _model_update_dir(self) -> str:
+        return str(Path(get_cache_file_path(CacheType.MODEL_UPDATE, create_dir=True)).parent)
+
+    def _model_update_targets(self) -> list[tuple[str, str, str]]:
+        """Return (kind, archive_path, target_path) tuples for backup."""
+
+        targets: list[tuple[str, str, str]] = []
+
+        settings_path = self._settings_file_path()
+        targets.append(("settings", "settings/settings.json", settings_path))
+
+        history_path = self._download_history_path()
+        targets.append(
+            (
+                "download_history",
+                "cache/download_history/downloaded_versions.sqlite",
+                history_path,
+            )
+        )
+
+        symlink_path = get_cache_file_path(CacheType.SYMLINK, create_dir=True)
+        targets.append(
+            (
+                "symlink_map",
+                "cache/symlink/symlink_map.json",
+                symlink_path,
+            )
+        )
+
+        model_update_dir = Path(self._model_update_dir())
+        if model_update_dir.exists():
+            for sqlite_file in sorted(model_update_dir.glob("*.sqlite")):
+                targets.append(
+                    (
+                        "model_update",
+                        f"cache/model_update/{sqlite_file.name}",
+                        str(sqlite_file),
+                    )
+                )
+
+        return targets
+
+    @staticmethod
+    def _hash_file(path: str) -> tuple[str, int, float]:
+        digest = hashlib.sha256()
+        total = 0
+        with open(path, "rb") as handle:
+            for chunk in iter(lambda: handle.read(1024 * 1024), b""):
+                total += len(chunk)
+                digest.update(chunk)
+        mtime = os.path.getmtime(path)
+        return digest.hexdigest(), total, mtime
+
+    def _build_manifest(self, entries: Iterable[BackupEntry], *, snapshot_type: str) -> dict[str, Any]:
+        created_at = datetime.now(timezone.utc).isoformat()
+        active_library = None
+        try:
+            active_library = self._settings.get_active_library_name()
+        except Exception:
+            active_library = None
+
+        return {
+            "manifest_version": BACKUP_MANIFEST_VERSION,
+            "created_at": created_at,
+            "snapshot_type": snapshot_type,
+            "active_library": active_library,
+            "files": [
+                {
+                    "kind": entry.kind,
+                    "archive_path": entry.archive_path,
+                    "target_path": entry.target_path,
+                    "sha256": entry.sha256,
+                    "size": entry.size,
+                    "mtime": entry.mtime,
+                }
+                for entry in entries
+            ],
+        }
+
+    def _write_archive(self, archive_path: str, entries: list[BackupEntry], manifest: dict[str, Any]) -> None:
+        with zipfile.ZipFile(
+            archive_path,
+            mode="w",
+            compression=zipfile.ZIP_DEFLATED,
+            compresslevel=6,
+        ) as zf:
+            zf.writestr(
+                "manifest.json",
+                json.dumps(manifest, indent=2, ensure_ascii=False).encode("utf-8"),
+            )
+            for entry in entries:
+                zf.write(entry.target_path, arcname=entry.archive_path)
+
+    async def create_snapshot(self, *, snapshot_type: str = "manual", persist: bool = False) -> dict[str, Any]:
+        """Create a backup archive.
+
+        If ``persist`` is true, the archive is stored in the backup directory
+        and retained according to the configured retention policy.
+        """
+
+        async with self._lock:
+            raw_targets = self._model_update_targets()
+            entries: list[BackupEntry] = []
+            for kind, archive_path, target_path in raw_targets:
+                if not os.path.exists(target_path):
+                    continue
+                sha256, size, mtime = self._hash_file(target_path)
+                entries.append(
+                    BackupEntry(
+                        kind=kind,
+                        archive_path=archive_path,
+                        target_path=target_path,
+                        sha256=sha256,
+                        size=size,
+                        mtime=mtime,
+                    )
+                )
+
+            if not entries:
+                raise FileNotFoundError("No backupable files were found")
+
+            manifest = self._build_manifest(entries, snapshot_type=snapshot_type)
+            archive_name = self._build_archive_name(snapshot_type=snapshot_type)
+            fd, temp_path = tempfile.mkstemp(suffix=".zip", dir=str(self._backup_dir))
+            os.close(fd)
+
+            try:
+                self._write_archive(temp_path, entries, manifest)
+                if persist:
+                    final_path = self._backup_dir / archive_name
+                    os.replace(temp_path, final_path)
+                    self._prune_snapshots()
+                    return {
+                        "archive_path": str(final_path),
+                        "archive_name": final_path.name,
+                        "manifest": manifest,
+                    }
+
+                with open(temp_path, "rb") as handle:
+                    data = handle.read()
+                return {
+                    "archive_name": archive_name,
+                    "archive_bytes": data,
+                    "manifest": manifest,
+                }
+            finally:
+                with contextlib.suppress(FileNotFoundError):
+                    os.remove(temp_path)
+
+    def _build_archive_name(self, *, snapshot_type: str) -> str:
+        timestamp = datetime.now(timezone.utc).strftime("%Y%m%dT%H%M%SZ")
+        return f"lora-manager-backup-{timestamp}-{snapshot_type}.zip"
+
+    def _prune_snapshots(self) -> None:
+        retention = self._get_setting_int(
+            "backup_retention_count", DEFAULT_BACKUP_RETENTION_COUNT
+        )
+        archives = sorted(
+            self._backup_dir.glob("lora-manager-backup-*-auto.zip"),
+            key=lambda path: path.stat().st_mtime,
+            reverse=True,
+        )
+        for path in archives[retention:]:
+            with contextlib.suppress(OSError):
+                path.unlink()
+
+    async def restore_snapshot(self, archive_path: str) -> dict[str, Any]:
+        """Restore backup contents from a ZIP archive."""
+
+        async with self._lock:
+            try:
+                zf = zipfile.ZipFile(archive_path, mode="r")
+            except zipfile.BadZipFile as exc:
+                raise ValueError("Backup archive is not a valid ZIP file") from exc
+
+            with zf:
+                try:
+                    manifest = json.loads(zf.read("manifest.json").decode("utf-8"))
+                except KeyError as exc:
+                    raise ValueError("Backup archive is missing manifest.json") from exc
+
+                if not isinstance(manifest, dict):
+                    raise ValueError("Backup manifest is invalid")
+                if manifest.get("manifest_version") != BACKUP_MANIFEST_VERSION:
+                    raise ValueError("Backup manifest version is not supported")
+
+                files = manifest.get("files", [])
+                if not isinstance(files, list):
+                    raise ValueError("Backup manifest file list is invalid")
+
+                extracted_paths: list[tuple[str, str]] = []
+                temp_dir = Path(tempfile.mkdtemp(prefix="lora-manager-restore-"))
+                try:
+                    for item in files:
+                        if not isinstance(item, dict):
+                            continue
+                        archive_member = item.get("archive_path")
+                        if not isinstance(archive_member, str) or not archive_member:
+                            continue
+                        archive_member_path = Path(archive_member)
+                        if archive_member_path.is_absolute() or ".." in archive_member_path.parts:
+                            raise ValueError(f"Invalid archive member path: {archive_member}")
+
+                        kind = item.get("kind")
+                        target_path = self._resolve_restore_target(kind, archive_member)
+                        if target_path is None:
+                            continue
+
+                        extracted_path = temp_dir / archive_member_path
+                        extracted_path.parent.mkdir(parents=True, exist_ok=True)
+                        with zf.open(archive_member) as source, open(
+                            extracted_path, "wb"
+                        ) as destination:
+                            shutil.copyfileobj(source, destination)
+
+                        expected_hash = item.get("sha256")
+                        if isinstance(expected_hash, str) and expected_hash:
+                            actual_hash, _, _ = self._hash_file(str(extracted_path))
+                            if actual_hash != expected_hash:
+                                raise ValueError(
+                                    f"Checksum mismatch for {archive_member}"
+                                )
+
+                        extracted_paths.append((str(extracted_path), target_path))
+
+                    for extracted_path, target_path in extracted_paths:
+                        os.makedirs(os.path.dirname(target_path), exist_ok=True)
+                        os.replace(extracted_path, target_path)
+                finally:
+                    shutil.rmtree(temp_dir, ignore_errors=True)
+
+            return {
+                "success": True,
+                "restored_files": len(extracted_paths),
+                "snapshot_type": manifest.get("snapshot_type"),
+            }
+
+    def _resolve_restore_target(self, kind: Any, archive_member: str) -> str | None:
+        if kind == "settings":
+            return self._settings_file_path()
+        if kind == "download_history":
+            return self._download_history_path()
+        if kind == "symlink_map":
+            return get_cache_file_path(CacheType.SYMLINK, create_dir=True)
+        if kind == "model_update":
+            filename = os.path.basename(archive_member)
+            return str(Path(get_cache_file_path(CacheType.MODEL_UPDATE, create_dir=True)).parent / filename)
+        return None
+
+    async def create_auto_snapshot_if_due(self) -> Optional[dict[str, Any]]:
+        if not self._get_setting_bool("backup_auto_enabled", True):
+            return None
+
+        latest = self.get_latest_auto_snapshot()
+        now = time.time()
+        if latest and now - latest["mtime"] < DEFAULT_BACKUP_INTERVAL_SECONDS:
+            return None
+
+        return await self.create_snapshot(snapshot_type="auto", persist=True)
+
+    async def _auto_backup_loop(self) -> None:
+        while True:
+            try:
+                await self.create_auto_snapshot_if_due()
+                await asyncio.sleep(DEFAULT_BACKUP_INTERVAL_SECONDS)
+            except asyncio.CancelledError:
+                raise
+            except Exception as exc:  # pragma: no cover - defensive guard
+                logger.warning("Automatic backup snapshot failed: %s", exc, exc_info=True)
+                await asyncio.sleep(60)
+
+    def get_available_snapshots(self) -> list[dict[str, Any]]:
+        snapshots: list[dict[str, Any]] = []
+        for path in sorted(self._backup_dir.glob("lora-manager-backup-*.zip")):
+            try:
+                stat = path.stat()
+            except OSError:
+                continue
+            snapshots.append(
+                {
+                    "name": path.name,
+                    "path": str(path),
+                    "size": stat.st_size,
+                    "mtime": stat.st_mtime,
+                    "is_auto": path.name.endswith("-auto.zip"),
+                }
+            )
+        snapshots.sort(key=lambda item: item["mtime"], reverse=True)
+        return snapshots
+
+    def get_latest_auto_snapshot(self) -> Optional[dict[str, Any]]:
+        autos = [snapshot for snapshot in self.get_available_snapshots() if snapshot["is_auto"]]
+        if not autos:
+            return None
+        return autos[0]
+
+    def get_status(self) -> dict[str, Any]:
+        snapshots = self.get_available_snapshots()
+        return {
+            "backupDir": self.get_backup_dir(),
+            "enabled": self._get_setting_bool("backup_auto_enabled", True),
+            "retentionCount": self._get_setting_int(
+                "backup_retention_count", DEFAULT_BACKUP_RETENTION_COUNT
+            ),
+            "snapshotCount": len(snapshots),
+            "latestSnapshot": snapshots[0] if snapshots else None,
+            "latestAutoSnapshot": self.get_latest_auto_snapshot(),
+        }

py/services/checkpoint_scanner.py

@@ -105,12 +105,18 @@ class CheckpointScanner(ModelScanner):
                 return None
 
             # Load current metadata
-            metadata, _ = await MetadataManager.load_metadata(
+            metadata, should_skip = await MetadataManager.load_metadata(
                 file_path, self.model_class
             )
             if metadata is None:
-                logger.error(f"No metadata found for {file_path}")
-                return None
+                if should_skip:
+                    logger.error(f"Invalid metadata found for {file_path}")
+                    return None
+                created_metadata = await self._create_default_metadata(file_path)
+                if created_metadata is None:
+                    logger.error(f"No metadata found for {file_path}")
+                    return None
+                metadata = created_metadata
 
             # Check if hash is already calculated
             if metadata.hash_status == "completed" and metadata.sha256:

py/services/custom_words_service.py

@@ -7,11 +7,13 @@ with category filtering and enriched results including post counts.
 from __future__ import annotations
 
 import logging
+import re
 from typing import List, Dict, Any, Optional
 
 logger = logging.getLogger(__name__)
 
 
+_EMBEDDED_COMMAND_PATTERN = re.compile(r"\s/\w")
 class CustomWordsService:
     """Service for autocomplete via TagFTSIndex.
 
@@ -77,12 +79,28 @@ class CustomWordsService:
         Returns:
             List of dicts with tag_name, category, and post_count.
         """
+        normalized_search = search_term.strip()
+        if not normalized_search:
+            return []
+
+        # Prompt widgets should only send the active token, but guard against
+        # accidental full-prompt queries reaching the FTS path.
+        if (
+            "__" in normalized_search
+            or "," in normalized_search
+            or ">" in normalized_search
+            or "\n" in normalized_search
+            or "\r" in normalized_search
+            or _EMBEDDED_COMMAND_PATTERN.search(normalized_search)
+        ):
+            logger.debug("Skipping prompt-like custom words query: %s", normalized_search)
+            return []
+
         tag_index = self._get_tag_index()
         if tag_index is not None:
-            results = tag_index.search(
-                search_term, categories=categories, limit=limit, offset=offset
+            return tag_index.search(
+                normalized_search, categories=categories, limit=limit, offset=offset
             )
-            return results
 
         logger.debug("TagFTSIndex not available, returning empty results")
         return []

py/services/download_manager.py

@@ -64,6 +64,19 @@ class DownloadManager:
         """Get the checkpoint scanner from registry"""
         return await ServiceRegistry.get_checkpoint_scanner()
 
+    async def _has_been_downloaded(self, model_type: str, model_version_id: int) -> bool:
+        try:
+            history_service = await ServiceRegistry.get_downloaded_version_history_service()
+            return await history_service.has_been_downloaded(model_type, model_version_id)
+        except Exception as exc:
+            logger.debug(
+                "Failed to read download history for %s version %s: %s",
+                model_type,
+                model_version_id,
+                exc,
+            )
+            return False
+
     async def download_from_civitai(
         self,
         model_id: int = None,
@@ -355,6 +368,57 @@ class DownloadManager:
                     "error": f'Model type "{model_type_from_info}" is not supported for download',
                 }
 
+            resolved_version_id = model_version_id
+            raw_version_id = version_info.get("id")
+            if resolved_version_id is None and raw_version_id is not None:
+                try:
+                    resolved_version_id = int(raw_version_id)
+                except (TypeError, ValueError):
+                    resolved_version_id = None
+
+            if (
+                get_settings_manager().get_skip_previously_downloaded_model_versions()
+                and resolved_version_id is not None
+                and await self._has_been_downloaded(model_type, resolved_version_id)
+            ):
+                file_name = ""
+                files = version_info.get("files")
+                if isinstance(files, list):
+                    primary_file = next(
+                        (
+                            file_info
+                            for file_info in files
+                            if isinstance(file_info, dict) and file_info.get("primary")
+                        ),
+                        None,
+                    )
+                    selected_file = primary_file
+                    if selected_file is None:
+                        selected_file = next(
+                            (file_info for file_info in files if isinstance(file_info, dict)),
+                            None,
+                        )
+                    if isinstance(selected_file, dict):
+                        raw_file_name = selected_file.get("name", "")
+                        if isinstance(raw_file_name, str):
+                            file_name = raw_file_name.strip()
+
+                message = (
+                    f"Skipped download for '{file_name or version_info.get('name') or f'model_version:{resolved_version_id}'}' "
+                    f"because version {resolved_version_id} was already downloaded before"
+                )
+                logger.info(message)
+                return {
+                    "success": True,
+                    "skipped": True,
+                    "status": "skipped",
+                    "reason": "previously_downloaded_version",
+                    "message": message,
+                    "model_version_id": resolved_version_id,
+                    "file_name": file_name,
+                    "download_id": download_id,
+                }
+
             excluded_base_models = get_settings_manager().get_download_skip_base_models()
             base_model_value = version_info.get("baseModel", "")
             if (
@@ -640,6 +704,13 @@ class DownloadManager:
                     or version_info.get("modelId")
                     or (version_info.get("model") or {}).get("id")
                 )
+                await self._record_downloaded_version_history(
+                    model_type,
+                    resolved_model_id,
+                    version_info,
+                    model_version_id,
+                    save_path,
+                )
                 await self._sync_downloaded_version(
                     model_type,
                     resolved_model_id,
@@ -669,6 +740,55 @@ class DownloadManager:
                 }
             return {"success": False, "error": str(e)}
 
+    async def _record_downloaded_version_history(
+        self,
+        model_type: str,
+        model_id_value,
+        version_info: Dict,
+        fallback_version_id=None,
+        file_path: str | None = None,
+    ) -> None:
+        try:
+            history_service = await ServiceRegistry.get_downloaded_version_history_service()
+        except Exception as exc:
+            logger.debug(
+                "Skipping download history sync; failed to acquire history service: %s",
+                exc,
+            )
+            return
+
+        if history_service is None:
+            return
+
+        resolved_model_id = model_id_value
+        if resolved_model_id is None:
+            resolved_model_id = version_info.get("modelId")
+        if resolved_model_id is None:
+            model_info = version_info.get("model")
+            if isinstance(model_info, dict):
+                resolved_model_id = model_info.get("id")
+
+        version_id = version_info.get("id")
+        if version_id is None:
+            version_id = fallback_version_id
+
+        try:
+            await history_service.mark_downloaded(
+                model_type,
+                int(version_id),
+                model_id=int(resolved_model_id) if resolved_model_id is not None else None,
+                source="download",
+                file_path=file_path,
+            )
+        except (TypeError, ValueError):
+            logger.debug(
+                "Skipping download history sync; invalid identifiers model=%s version=%s",
+                resolved_model_id,
+                version_id,
+            )
+        except Exception as exc:
+            logger.debug("Failed to sync download history for %s: %s", model_type, exc)
+
     async def _sync_downloaded_version(
         self,
         model_type: str,

py/services/downloaded_version_history_service.py

@@ -0,0 +1,313 @@
+from __future__ import annotations
+
+import asyncio
+import logging
+import os
+import sqlite3
+import time
+from typing import Iterable, Mapping, Optional, Sequence
+
+from ..utils.cache_paths import get_cache_base_dir
+from .settings_manager import get_settings_manager
+
+logger = logging.getLogger(__name__)
+
+
+def _normalize_model_type(model_type: str | None) -> Optional[str]:
+    if not isinstance(model_type, str):
+        return None
+    normalized = model_type.strip().lower()
+    if normalized in {"lora", "locon", "dora"}:
+        return "lora"
+    if normalized == "checkpoint":
+        return "checkpoint"
+    if normalized in {"embedding", "textualinversion"}:
+        return "embedding"
+    return None
+
+
+def _normalize_int(value) -> Optional[int]:
+    try:
+        if value is None:
+            return None
+        return int(value)
+    except (TypeError, ValueError):
+        return None
+
+
+def _resolve_database_path() -> str:
+    base_dir = get_cache_base_dir(create=True)
+    history_dir = os.path.join(base_dir, "download_history")
+    os.makedirs(history_dir, exist_ok=True)
+    return os.path.join(history_dir, "downloaded_versions.sqlite")
+
+
+class DownloadedVersionHistoryService:
+    _SCHEMA = """
+        CREATE TABLE IF NOT EXISTS downloaded_model_versions (
+            model_type TEXT NOT NULL,
+            version_id INTEGER NOT NULL,
+            model_id INTEGER,
+            first_seen_at REAL NOT NULL,
+            last_seen_at REAL NOT NULL,
+            source TEXT NOT NULL,
+            last_file_path TEXT,
+            last_library_name TEXT,
+            is_deleted_override INTEGER NOT NULL DEFAULT 0,
+            PRIMARY KEY (model_type, version_id)
+        );
+        CREATE INDEX IF NOT EXISTS idx_downloaded_model_versions_model
+            ON downloaded_model_versions(model_type, model_id);
+    """
+
+    def __init__(self, db_path: str | None = None, *, settings_manager=None) -> None:
+        self._db_path = db_path or _resolve_database_path()
+        self._settings = settings_manager or get_settings_manager()
+        self._lock = asyncio.Lock()
+        self._schema_initialized = False
+        self._ensure_directory()
+        self._initialize_schema()
+
+    def _ensure_directory(self) -> None:
+        directory = os.path.dirname(self._db_path)
+        if directory:
+            os.makedirs(directory, exist_ok=True)
+
+    def _connect(self) -> sqlite3.Connection:
+        conn = sqlite3.connect(self._db_path, check_same_thread=False)
+        conn.row_factory = sqlite3.Row
+        return conn
+
+    def _initialize_schema(self) -> None:
+        if self._schema_initialized:
+            return
+        with self._connect() as conn:
+            conn.executescript(self._SCHEMA)
+            conn.commit()
+        self._schema_initialized = True
+
+    def get_database_path(self) -> str:
+        return self._db_path
+
+    def _get_active_library_name(self) -> str | None:
+        try:
+            value = self._settings.get_active_library_name()
+        except Exception:
+            return None
+        return value or None
+
+    async def mark_downloaded(
+        self,
+        model_type: str,
+        version_id: int,
+        *,
+        model_id: int | None = None,
+        source: str = "manual",
+        file_path: str | None = None,
+        library_name: str | None = None,
+    ) -> None:
+        normalized_type = _normalize_model_type(model_type)
+        normalized_version_id = _normalize_int(version_id)
+        normalized_model_id = _normalize_int(model_id)
+        if normalized_type is None or normalized_version_id is None:
+            return
+
+        active_library_name = library_name or self._get_active_library_name()
+        timestamp = time.time()
+
+        async with self._lock:
+            with self._connect() as conn:
+                conn.execute(
+                    """
+                    INSERT INTO downloaded_model_versions (
+                        model_type, version_id, model_id, first_seen_at, last_seen_at,
+                        source, last_file_path, last_library_name, is_deleted_override
+                    ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, 0)
+                    ON CONFLICT(model_type, version_id) DO UPDATE SET
+                        model_id = COALESCE(excluded.model_id, downloaded_model_versions.model_id),
+                        last_seen_at = excluded.last_seen_at,
+                        source = excluded.source,
+                        last_file_path = COALESCE(excluded.last_file_path, downloaded_model_versions.last_file_path),
+                        last_library_name = COALESCE(excluded.last_library_name, downloaded_model_versions.last_library_name),
+                        is_deleted_override = 0
+                    """,
+                    (
+                        normalized_type,
+                        normalized_version_id,
+                        normalized_model_id,
+                        timestamp,
+                        timestamp,
+                        source,
+                        file_path,
+                        active_library_name,
+                    ),
+                )
+                conn.commit()
+
+    async def mark_downloaded_bulk(
+        self,
+        model_type: str,
+        records: Sequence[Mapping[str, object]],
+        *,
+        source: str = "scan",
+        library_name: str | None = None,
+    ) -> None:
+        normalized_type = _normalize_model_type(model_type)
+        if normalized_type is None or not records:
+            return
+
+        timestamp = time.time()
+        active_library_name = library_name or self._get_active_library_name()
+        payload: list[tuple[object, ...]] = []
+        for record in records:
+            version_id = _normalize_int(record.get("version_id"))
+            if version_id is None:
+                continue
+            payload.append(
+                (
+                    normalized_type,
+                    version_id,
+                    _normalize_int(record.get("model_id")),
+                    timestamp,
+                    timestamp,
+                    source,
+                    record.get("file_path"),
+                    active_library_name,
+                )
+            )
+
+        if not payload:
+            return
+
+        async with self._lock:
+            with self._connect() as conn:
+                conn.executemany(
+                    """
+                    INSERT INTO downloaded_model_versions (
+                        model_type, version_id, model_id, first_seen_at, last_seen_at,
+                        source, last_file_path, last_library_name, is_deleted_override
+                    ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, 0)
+                    ON CONFLICT(model_type, version_id) DO UPDATE SET
+                        model_id = COALESCE(excluded.model_id, downloaded_model_versions.model_id),
+                        last_seen_at = excluded.last_seen_at,
+                        source = excluded.source,
+                        last_file_path = COALESCE(excluded.last_file_path, downloaded_model_versions.last_file_path),
+                        last_library_name = COALESCE(excluded.last_library_name, downloaded_model_versions.last_library_name),
+                        is_deleted_override = 0
+                    """,
+                    payload,
+                )
+                conn.commit()
+
+    async def mark_not_downloaded(self, model_type: str, version_id: int) -> None:
+        normalized_type = _normalize_model_type(model_type)
+        normalized_version_id = _normalize_int(version_id)
+        if normalized_type is None or normalized_version_id is None:
+            return
+
+        timestamp = time.time()
+
+        async with self._lock:
+            with self._connect() as conn:
+                conn.execute(
+                    """
+                    INSERT INTO downloaded_model_versions (
+                        model_type, version_id, model_id, first_seen_at, last_seen_at,
+                        source, last_file_path, last_library_name, is_deleted_override
+                    ) VALUES (?, ?, NULL, ?, ?, 'manual', NULL, ?, 1)
+                    ON CONFLICT(model_type, version_id) DO UPDATE SET
+                        last_seen_at = excluded.last_seen_at,
+                        source = excluded.source,
+                        last_library_name = COALESCE(excluded.last_library_name, downloaded_model_versions.last_library_name),
+                        is_deleted_override = 1
+                    """,
+                    (
+                        normalized_type,
+                        normalized_version_id,
+                        timestamp,
+                        timestamp,
+                        self._get_active_library_name(),
+                    ),
+                )
+                conn.commit()
+
+    async def has_been_downloaded(self, model_type: str, version_id: int) -> bool:
+        normalized_type = _normalize_model_type(model_type)
+        normalized_version_id = _normalize_int(version_id)
+        if normalized_type is None or normalized_version_id is None:
+            return False
+
+        async with self._lock:
+            with self._connect() as conn:
+                row = conn.execute(
+                    """
+                    SELECT is_deleted_override
+                    FROM downloaded_model_versions
+                    WHERE model_type = ? AND version_id = ?
+                    """,
+                    (normalized_type, normalized_version_id),
+                ).fetchone()
+        return bool(row) and not bool(row["is_deleted_override"])
+
+    async def get_downloaded_version_ids(
+        self, model_type: str, model_id: int
+    ) -> list[int]:
+        normalized_type = _normalize_model_type(model_type)
+        normalized_model_id = _normalize_int(model_id)
+        if normalized_type is None or normalized_model_id is None:
+            return []
+
+        async with self._lock:
+            with self._connect() as conn:
+                rows = conn.execute(
+                    """
+                    SELECT version_id
+                    FROM downloaded_model_versions
+                    WHERE model_type = ? AND model_id = ? AND is_deleted_override = 0
+                    ORDER BY version_id ASC
+                    """,
+                    (normalized_type, normalized_model_id),
+                ).fetchall()
+        return [int(row["version_id"]) for row in rows]
+
+    async def get_downloaded_version_ids_bulk(
+        self, model_type: str, model_ids: Iterable[int]
+    ) -> dict[int, set[int]]:
+        normalized_type = _normalize_model_type(model_type)
+        if normalized_type is None:
+            return {}
+
+        normalized_model_ids = sorted(
+            {
+                value
+                for value in (_normalize_int(model_id) for model_id in model_ids)
+                if value is not None
+            }
+        )
+        if not normalized_model_ids:
+            return {}
+
+        placeholders = ", ".join(["?"] * len(normalized_model_ids))
+        params: list[object] = [normalized_type, *normalized_model_ids]
+
+        async with self._lock:
+            with self._connect() as conn:
+                rows = conn.execute(
+                    f"""
+                    SELECT model_id, version_id
+                    FROM downloaded_model_versions
+                    WHERE model_type = ?
+                      AND model_id IN ({placeholders})
+                      AND is_deleted_override = 0
+                    """,
+                    params,
+                ).fetchall()
+
+        result: dict[int, set[int]] = {}
+        for row in rows:
+            model_id = _normalize_int(row["model_id"])
+            version_id = _normalize_int(row["version_id"])
+            if model_id is None or version_id is None:
+                continue
+            result.setdefault(model_id, set()).add(version_id)
+        return result

py/services/model_scanner.py

@@ -411,6 +411,7 @@ class ModelScanner:
             if scan_result:
                 await self._apply_scan_result(scan_result)
                 await self._save_persistent_cache(scan_result)
+                await self._sync_download_history(scan_result.raw_data, source='scan')
 
             # Send final progress update
             await ws_manager.broadcast_init_progress({
@@ -516,6 +517,7 @@ class ModelScanner:
         )
 
         await self._apply_scan_result(scan_result)
+        await self._sync_download_history(adjusted_raw_data, source='scan')
 
         await ws_manager.broadcast_init_progress({
             'stage': 'loading_cache',
@@ -576,6 +578,7 @@ class ModelScanner:
             excluded_models=list(self._excluded_models)
         )
         await self._save_persistent_cache(snapshot)
+        await self._sync_download_history(snapshot.raw_data, source='scan')
     def _count_model_files(self) -> int:
         """Count all model files with supported extensions in all roots
         
@@ -704,6 +707,7 @@ class ModelScanner:
             scan_result = await self._gather_model_data()
             await self._apply_scan_result(scan_result)
             await self._save_persistent_cache(scan_result)
+            await self._sync_download_history(scan_result.raw_data, source='scan')
 
             logger.info(
                 f"{self.model_type.capitalize()} Scanner: Cache initialization completed in {time.time() - start_time:.2f} seconds, "
@@ -1101,6 +1105,49 @@ class ModelScanner:
 
         await self._cache.resort()
 
+    async def _sync_download_history(
+        self,
+        raw_data: List[Mapping[str, Any]],
+        *,
+        source: str,
+    ) -> None:
+        records: List[Dict[str, Any]] = []
+        for item in raw_data or []:
+            if not isinstance(item, Mapping):
+                continue
+            civitai = item.get('civitai')
+            if not isinstance(civitai, Mapping):
+                continue
+
+            version_id = civitai.get('id')
+            if version_id in (None, ''):
+                continue
+
+            records.append(
+                {
+                    'version_id': version_id,
+                    'model_id': civitai.get('modelId'),
+                    'file_path': item.get('file_path'),
+                }
+            )
+
+        if not records:
+            return
+
+        try:
+            history_service = await ServiceRegistry.get_downloaded_version_history_service()
+            await history_service.mark_downloaded_bulk(
+                self.model_type,
+                records,
+                source=source,
+            )
+        except Exception as exc:
+            logger.debug(
+                "%s Scanner: Failed to sync download history: %s",
+                self.model_type.capitalize(),
+                exc,
+            )
+
     async def _gather_model_data(
         self,
         *,

py/services/model_update_service.py

@@ -12,6 +12,7 @@ from typing import Any, Dict, Iterable, List, Mapping, Optional, Sequence
 
 from .errors import RateLimitError, ResourceNotFoundError
 from .settings_manager import get_settings_manager
+from ..utils.cache_paths import CacheType, resolve_cache_path_with_migration
 from ..utils.civitai_utils import rewrite_preview_url
 from ..utils.preview_selection import resolve_mature_threshold, select_preview_media
 
@@ -234,12 +235,52 @@ class ModelUpdateService:
             ON model_update_versions(model_id);
     """
 
-    def __init__(self, db_path: str, *, ttl_seconds: int = 24 * 60 * 60, settings_manager=None) -> None:
-        self._db_path = db_path
+    def __init__(
+        self,
+        db_path: str | None = None,
+        *,
+        ttl_seconds: int = 24 * 60 * 60,
+        settings_manager=None,
+    ) -> None:
+        self._settings = settings_manager or get_settings_manager()
+        self._library_name = self._get_active_library_name()
+        self._db_path = db_path or self._resolve_default_path(self._library_name)
         self._ttl_seconds = ttl_seconds
         self._lock = asyncio.Lock()
         self._schema_initialized = False
-        self._settings = settings_manager or get_settings_manager()
+        self._custom_db_path = db_path is not None
+        self._ensure_directory()
+        self._initialize_schema()
+
+    def _get_active_library_name(self) -> str:
+        try:
+            value = self._settings.get_active_library_name()
+        except Exception:
+            value = None
+        return value or "default"
+
+    def _resolve_default_path(self, library_name: str) -> str:
+        env_override = os.environ.get("LORA_MANAGER_MODEL_UPDATE_DB")
+        return resolve_cache_path_with_migration(
+            CacheType.MODEL_UPDATE,
+            library_name=library_name,
+            env_override=env_override,
+        )
+
+    def on_library_changed(self) -> None:
+        """Switch to the database for the active library."""
+
+        if self._custom_db_path:
+            return
+
+        library_name = self._get_active_library_name()
+        new_path = self._resolve_default_path(library_name)
+        if new_path == self._db_path:
+            return
+
+        self._library_name = library_name
+        self._db_path = new_path
+        self._schema_initialized = False
         self._ensure_directory()
         self._initialize_schema()
 
@@ -262,11 +303,114 @@ class ModelUpdateService:
                 conn.execute("PRAGMA foreign_keys = ON")
                 conn.executescript(self._SCHEMA)
                 self._apply_migrations(conn)
+                self._migrate_from_legacy_snapshot(conn)
             self._schema_initialized = True
         except Exception as exc:  # pragma: no cover - defensive guard
             logger.error("Failed to initialize update schema: %s", exc, exc_info=True)
             raise
 
+    def _migrate_from_legacy_snapshot(self, conn: sqlite3.Connection) -> None:
+        """Copy update tracking data out of the legacy model snapshot database."""
+
+        if self._custom_db_path:
+            return
+
+        try:
+            from .persistent_model_cache import get_persistent_cache
+
+            legacy_path = get_persistent_cache(self._library_name).get_database_path()
+        except Exception:
+            return
+
+        if not legacy_path or os.path.abspath(legacy_path) == os.path.abspath(self._db_path):
+            return
+        if not os.path.exists(legacy_path):
+            return
+
+        try:
+            existing_row = conn.execute(
+                "SELECT 1 FROM model_update_status LIMIT 1"
+            ).fetchone()
+            if existing_row:
+                return
+        except Exception:
+            return
+
+        try:
+            with sqlite3.connect(legacy_path, check_same_thread=False) as legacy_conn:
+                legacy_conn.row_factory = sqlite3.Row
+                status_rows = legacy_conn.execute(
+                    """
+                    SELECT model_id, model_type, last_checked_at, should_ignore_model
+                    FROM model_update_status
+                    """
+                ).fetchall()
+                if not status_rows:
+                    return
+
+                version_rows = legacy_conn.execute(
+                    """
+                    SELECT model_id, version_id, sort_index, name, base_model, released_at,
+                           size_bytes, preview_url, is_in_library, should_ignore,
+                           early_access_ends_at, is_early_access
+                    FROM model_update_versions
+                    ORDER BY model_id ASC, sort_index ASC, version_id ASC
+                    """
+                ).fetchall()
+
+                conn.execute("BEGIN")
+                conn.executemany(
+                    """
+                    INSERT OR REPLACE INTO model_update_status (
+                        model_id, model_type, last_checked_at, should_ignore_model
+                    ) VALUES (?, ?, ?, ?)
+                    """,
+                    [
+                        (
+                            int(row["model_id"]),
+                            row["model_type"],
+                            row["last_checked_at"],
+                            int(row["should_ignore_model"] or 0),
+                        )
+                        for row in status_rows
+                    ],
+                )
+                conn.executemany(
+                    """
+                    INSERT OR REPLACE INTO model_update_versions (
+                        model_id, version_id, sort_index, name, base_model, released_at,
+                        size_bytes, preview_url, is_in_library, should_ignore,
+                        early_access_ends_at, is_early_access
+                    ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+                    """,
+                    [
+                        (
+                            int(row["model_id"]),
+                            int(row["version_id"]),
+                            int(row["sort_index"] or 0),
+                            row["name"],
+                            row["base_model"],
+                            row["released_at"],
+                            row["size_bytes"],
+                            row["preview_url"],
+                            int(row["is_in_library"] or 0),
+                            int(row["should_ignore"] or 0),
+                            row["early_access_ends_at"],
+                            int(row["is_early_access"] or 0),
+                        )
+                        for row in version_rows
+                    ],
+                )
+                conn.commit()
+                logger.info(
+                    "Migrated model update tracking data from legacy snapshot DB for %s",
+                    self._library_name,
+                )
+        except sqlite3.OperationalError as exc:
+            logger.debug("Legacy model update migration skipped: %s", exc)
+        except Exception as exc:  # pragma: no cover - defensive guard
+            logger.warning("Failed to migrate model update data: %s", exc, exc_info=True)
+
     def _apply_migrations(self, conn: sqlite3.Connection) -> None:
         """Ensure legacy databases match the current schema without dropping data."""
 

py/services/recipe_scanner.py

@@ -18,6 +18,7 @@ from .service_registry import ServiceRegistry
 from .lora_scanner import LoraScanner
 from .metadata_service import get_default_metadata_provider
 from .checkpoint_scanner import CheckpointScanner
+from .settings_manager import get_settings_manager
 from .recipes.errors import RecipeNotFoundError
 from ..utils.utils import calculate_recipe_fingerprint, fuzzy_match
 from natsort import natsorted
@@ -951,6 +952,30 @@ class RecipeScanner:
         except Exception as exc:
             logger.debug("Failed to update FTS index for recipe: %s", exc)
 
+    @staticmethod
+    def _normalize_recipe_gen_params(recipe_data: Dict[str, Any]) -> Dict[str, Any]:
+        """Return a recipe copy with normalized generation parameter aliases added."""
+
+        normalized_recipe = dict(recipe_data)
+        gen_params = recipe_data.get("gen_params")
+        if not isinstance(gen_params, dict):
+            return normalized_recipe
+
+        normalized_gen_params = dict(gen_params)
+        for key, value in gen_params.items():
+            if value in (None, ""):
+                continue
+
+            normalized_key = GenParamsMerger.NORMALIZATION_MAPPING.get(key, key)
+            if normalized_key not in GenParamsMerger.ALLOWED_KEYS:
+                continue
+
+            if normalized_gen_params.get(normalized_key) in (None, ""):
+                normalized_gen_params[normalized_key] = value
+
+        normalized_recipe["gen_params"] = normalized_gen_params
+        return normalized_recipe
+
     async def _enrich_cache_metadata(self) -> None:
         """Perform remote metadata enrichment after the initial scan."""
 
@@ -1090,6 +1115,14 @@ class RecipeScanner:
     @property
     def recipes_dir(self) -> str:
         """Get path to recipes directory"""
+        custom_recipes_dir = get_settings_manager().get("recipes_path", "")
+        if isinstance(custom_recipes_dir, str) and custom_recipes_dir.strip():
+            recipes_dir = os.path.abspath(
+                os.path.normpath(os.path.expanduser(custom_recipes_dir.strip()))
+            )
+            os.makedirs(recipes_dir, exist_ok=True)
+            return recipes_dir
+
         if not config.loras_roots:
             return ""
 
@@ -1336,6 +1369,7 @@ class RecipeScanner:
             # Ensure gen_params exists
             if "gen_params" not in recipe_data:
                 recipe_data["gen_params"] = {}
+            recipe_data = self._normalize_recipe_gen_params(recipe_data)
 
             # Update lora information with local paths and availability
             lora_metadata_updated = await self._update_lora_information(recipe_data)
@@ -2046,7 +2080,10 @@ class RecipeScanner:
         end_idx = min(start_idx + page_size, total_items)
 
         # Get paginated items
-        paginated_items = filtered_data[start_idx:end_idx]
+        paginated_items = [
+            self._normalize_recipe_gen_params(item)
+            for item in filtered_data[start_idx:end_idx]
+        ]
 
         # Add inLibrary information and URLs for each recipe
         for item in paginated_items:
@@ -2105,8 +2142,18 @@ class RecipeScanner:
         if not recipe:
             return None
 
+        # Prefer the on-disk recipe JSON for fields that are not persisted in the
+        # SQLite cache yet, such as source_path.
+        merged_recipe = self._normalize_recipe_gen_params({**recipe})
+        recipe_json = await self._load_recipe_json(recipe_id)
+        if recipe_json:
+            for field in ("source_path", "checkpoint", "loras", "gen_params"):
+                if field not in recipe_json:
+                    merged_recipe.pop(field, None)
+            merged_recipe.update(recipe_json)
+
         # Format the recipe with all needed information
-        formatted_recipe = {**recipe}  # Copy all fields
+        formatted_recipe = {**merged_recipe}
 
         # Format file path to URL
         if "file_path" in formatted_recipe:
@@ -2140,6 +2187,30 @@ class RecipeScanner:
 
         return formatted_recipe
 
+    async def _load_recipe_json(self, recipe_id: str) -> Optional[Dict[str, Any]]:
+        """Load the raw recipe JSON payload for a recipe ID if it exists."""
+
+        recipe_json_path = await self.get_recipe_json_path(recipe_id)
+        if not recipe_json_path or not os.path.exists(recipe_json_path):
+            return None
+
+        try:
+            with open(recipe_json_path, "r", encoding="utf-8") as f:
+                recipe_data = json.load(f)
+        except Exception as exc:
+            logger.debug(
+                "Failed to load recipe JSON for %s from %s: %s",
+                recipe_id,
+                recipe_json_path,
+                exc,
+            )
+            return None
+
+        if not isinstance(recipe_data, dict):
+            return None
+
+        return self._normalize_recipe_gen_params(recipe_data)
+
     def _format_file_url(self, file_path: str) -> str:
         """Format file path as URL for serving in web UI"""
         if not file_path:

py/services/recipes/persistence_service.py

@@ -12,6 +12,7 @@ from dataclasses import dataclass
 from typing import Any, Dict, Iterable, Optional
 
 from ...config import config
+from ...recipes.constants import GEN_PARAM_KEYS
 from ...utils.utils import calculate_recipe_fingerprint
 from .errors import RecipeNotFoundError, RecipeValidationError
 
@@ -90,23 +91,7 @@ class RecipePersistenceService:
         current_time = time.time()
         loras_data = [self._normalise_lora_entry(lora) for lora in (metadata.get("loras") or [])]
         checkpoint_entry = self._sanitize_checkpoint_entry(self._extract_checkpoint_entry(metadata))
-
-        gen_params = metadata.get("gen_params") or {}
-        if not gen_params and "raw_metadata" in metadata:
-            raw_metadata = metadata.get("raw_metadata", {})
-            gen_params = {
-                "prompt": raw_metadata.get("prompt", ""),
-                "negative_prompt": raw_metadata.get("negative_prompt", ""),
-                "steps": raw_metadata.get("steps", ""),
-                "sampler": raw_metadata.get("sampler", ""),
-                "cfg_scale": raw_metadata.get("cfg_scale", ""),
-                "seed": raw_metadata.get("seed", ""),
-                "size": raw_metadata.get("size", ""),
-                "clip_skip": raw_metadata.get("clip_skip", ""),
-            }
-
-        # Drop checkpoint duplication from generation parameters to store it only at top level
-        gen_params.pop("checkpoint", None)
+        gen_params = self._sanitize_gen_params_for_storage(metadata)
 
         fingerprint = calculate_recipe_fingerprint(loras_data)
         recipe_data: Dict[str, Any] = {
@@ -133,6 +118,7 @@ class RecipePersistenceService:
         json_filename = f"{recipe_id}.recipe.json"
         json_path = os.path.join(recipes_dir, json_filename)
         json_path = os.path.normpath(json_path)
+
         with open(json_path, "w", encoding="utf-8") as file_obj:
             json.dump(recipe_data, file_obj, indent=4, ensure_ascii=False)
 
@@ -152,6 +138,30 @@ class RecipePersistenceService:
             }
         )
 
+    @staticmethod
+    def _sanitize_gen_params_for_storage(metadata: dict[str, Any]) -> dict[str, Any]:
+        gen_params = metadata.get("gen_params")
+        if isinstance(gen_params, dict) and gen_params:
+            source = gen_params
+        else:
+            source = metadata.get("raw_metadata")
+
+        if not isinstance(source, dict):
+            return {}
+
+        allowed_keys = set(GEN_PARAM_KEYS)
+        sanitized: dict[str, Any] = {}
+        for key in allowed_keys:
+            if key not in source:
+                continue
+            value = source.get(key)
+            if value in (None, ""):
+                continue
+            sanitized[key] = value
+
+        sanitized.pop("checkpoint", None)
+        return sanitized
+
     async def delete_recipe(self, *, recipe_scanner, recipe_id: str) -> PersistenceResult:
         """Delete an existing recipe."""
 

py/services/service_registry.py

@@ -159,10 +159,51 @@ class ServiceRegistry:
                 return cls._services[service_name]
 
             from .model_update_service import ModelUpdateService
-            from .persistent_model_cache import get_persistent_cache
+            from .settings_manager import get_settings_manager
 
-            cache = get_persistent_cache()
-            service = ModelUpdateService(cache.get_database_path())
+            service = ModelUpdateService(settings_manager=get_settings_manager())
+            cls._services[service_name] = service
+            logger.debug(f"Created and registered {service_name}")
+            return service
+
+    @classmethod
+    async def get_downloaded_version_history_service(cls):
+        """Get or create the downloaded-version history service."""
+
+        service_name = "downloaded_version_history_service"
+
+        if service_name in cls._services:
+            return cls._services[service_name]
+
+        async with cls._get_lock(service_name):
+            if service_name in cls._services:
+                return cls._services[service_name]
+
+            from .downloaded_version_history_service import (
+                DownloadedVersionHistoryService,
+            )
+
+            service = DownloadedVersionHistoryService()
+            cls._services[service_name] = service
+            logger.debug(f"Created and registered {service_name}")
+            return service
+
+    @classmethod
+    async def get_backup_service(cls):
+        """Get or create the backup service."""
+
+        service_name = "backup_service"
+
+        if service_name in cls._services:
+            return cls._services[service_name]
+
+        async with cls._get_lock(service_name):
+            if service_name in cls._services:
+                return cls._services[service_name]
+
+            from .backup_service import BackupService
+
+            service = await BackupService.get_instance()
             cls._services[service_name] = service
             logger.debug(f"Created and registered {service_name}")
             return service
@@ -255,4 +296,4 @@ class ServiceRegistry:
         """Clear all registered services - mainly for testing"""
         cls._services.clear()
         cls._locks.clear()
-        logger.info("Cleared all registered services")
+        logger.info("Cleared all registered services")

py/services/settings_manager.py

@@ -3,6 +3,7 @@ import copy
 import json
 import os
 import shutil
+import tempfile
 import logging
 from pathlib import Path
 from datetime import datetime, timezone
@@ -70,6 +71,7 @@ DEFAULT_SETTINGS: Dict[str, Any] = {
     "default_checkpoint_root": "",
     "default_unet_root": "",
     "default_embedding_root": "",
+    "recipes_path": "",
     "base_model_path_mappings": {},
     "download_path_templates": {},
     "folder_paths": {},
@@ -91,7 +93,10 @@ DEFAULT_SETTINGS: Dict[str, Any] = {
     "update_flag_strategy": "same_base",
     "auto_organize_exclusions": [],
     "metadata_refresh_skip_paths": [],
+    "skip_previously_downloaded_model_versions": False,
     "download_skip_base_models": [],
+    "backup_auto_enabled": True,
+    "backup_retention_count": 5,
 }
 
 
@@ -253,6 +258,7 @@ class SettingsManager:
                 default_checkpoint_root=merged.get("default_checkpoint_root"),
                 default_unet_root=merged.get("default_unet_root"),
                 default_embedding_root=merged.get("default_embedding_root"),
+                recipes_path=merged.get("recipes_path"),
             )
         }
         merged["active_library"] = library_name
@@ -314,6 +320,10 @@ class SettingsManager:
             self.settings["download_skip_base_models"] = []
             inserted_defaults = True
 
+        if "skip_previously_downloaded_model_versions" not in self.settings:
+            self.settings["skip_previously_downloaded_model_versions"] = False
+            inserted_defaults = True
+
         had_mature_level = "mature_blur_level" in self.settings
         raw_mature_level = self.settings.get("mature_blur_level")
         normalized_mature_level = self.normalize_mature_blur_level(raw_mature_level)
@@ -377,6 +387,7 @@ class SettingsManager:
                 ),
                 default_unet_root=self.settings.get("default_unet_root", ""),
                 default_embedding_root=self.settings.get("default_embedding_root", ""),
+                recipes_path=self.settings.get("recipes_path", ""),
             )
             libraries = {library_name: library_payload}
             self.settings["libraries"] = libraries
@@ -424,6 +435,7 @@ class SettingsManager:
                 default_checkpoint_root=data.get("default_checkpoint_root"),
                 default_unet_root=data.get("default_unet_root"),
                 default_embedding_root=data.get("default_embedding_root"),
+                recipes_path=data.get("recipes_path"),
                 metadata=data.get("metadata"),
                 base=data,
             )
@@ -470,6 +482,7 @@ class SettingsManager:
         self.settings["default_embedding_root"] = active_library.get(
             "default_embedding_root", ""
         )
+        self.settings["recipes_path"] = active_library.get("recipes_path", "")
 
         if save:
             self._save_settings()
@@ -486,6 +499,7 @@ class SettingsManager:
         default_checkpoint_root: Optional[str] = None,
         default_unet_root: Optional[str] = None,
         default_embedding_root: Optional[str] = None,
+        recipes_path: Optional[str] = None,
         metadata: Optional[Mapping[str, Any]] = None,
         base: Optional[Mapping[str, Any]] = None,
     ) -> Dict[str, Any]:
@@ -524,6 +538,11 @@ class SettingsManager:
         else:
             payload.setdefault("default_embedding_root", "")
 
+        if recipes_path is not None:
+            payload["recipes_path"] = recipes_path
+        else:
+            payload.setdefault("recipes_path", "")
+
         if metadata:
             merged_meta = dict(payload.get("metadata", {}))
             merged_meta.update(metadata)
@@ -625,6 +644,7 @@ class SettingsManager:
         default_checkpoint_root: Optional[str] = None,
         default_unet_root: Optional[str] = None,
         default_embedding_root: Optional[str] = None,
+        recipes_path: Optional[str] = None,
     ) -> bool:
         libraries = self.settings.get("libraries", {})
         active_name = self.settings.get("active_library")
@@ -674,6 +694,10 @@ class SettingsManager:
             library["default_embedding_root"] = default_embedding_root
             changed = True
 
+        if recipes_path is not None and library.get("recipes_path") != recipes_path:
+            library["recipes_path"] = recipes_path
+            changed = True
+
         if changed:
             library.setdefault("created_at", self._current_timestamp())
             library["updated_at"] = self._current_timestamp()
@@ -937,7 +961,9 @@ class SettingsManager:
             extra_folder_paths=defaults.get("extra_folder_paths", {}),
             default_lora_root=defaults.get("default_lora_root"),
             default_checkpoint_root=defaults.get("default_checkpoint_root"),
+            default_unet_root=defaults.get("default_unet_root"),
             default_embedding_root=defaults.get("default_embedding_root"),
+            recipes_path=defaults.get("recipes_path"),
         )
         defaults["libraries"] = {library_name: default_library}
         defaults["active_library"] = library_name
@@ -1090,6 +1116,17 @@ class SettingsManager:
             self._save_settings()
         return base_models
 
+    def get_skip_previously_downloaded_model_versions(self) -> bool:
+        value = self.settings.get("skip_previously_downloaded_model_versions", False)
+        if isinstance(value, bool):
+            return value
+        normalized = False
+        if isinstance(value, str):
+            normalized = value.strip().lower() in {"1", "true", "yes", "on"}
+        self.settings["skip_previously_downloaded_model_versions"] = normalized
+        self._save_settings()
+        return normalized
+
     def get_extra_folder_paths(self) -> Dict[str, List[str]]:
         """Get extra folder paths for the active library.
 
@@ -1220,6 +1257,193 @@ class SettingsManager:
         """Get setting value"""
         return self.settings.get(key, default)
 
+    def _normalize_recipes_path_value(self, value: Any) -> str:
+        """Return a normalized absolute recipes path or an empty string."""
+
+        if not isinstance(value, str):
+            value = "" if value is None else str(value)
+
+        stripped = value.strip()
+        if not stripped:
+            return ""
+
+        return os.path.abspath(os.path.normpath(os.path.expanduser(stripped)))
+
+    def _get_effective_recipes_dir(self, recipes_path: Optional[str] = None) -> str:
+        """Resolve the effective recipes directory for the active library."""
+
+        normalized_custom = self._normalize_recipes_path_value(
+            self.settings.get("recipes_path", "")
+            if recipes_path is None
+            else recipes_path
+        )
+        if normalized_custom:
+            return normalized_custom
+
+        folder_paths = self.settings.get("folder_paths", {})
+        configured_lora_roots = []
+        if isinstance(folder_paths, Mapping):
+            raw_lora_roots = folder_paths.get("loras", [])
+            if isinstance(raw_lora_roots, Sequence) and not isinstance(
+                raw_lora_roots, (str, bytes)
+            ):
+                configured_lora_roots = [
+                    path
+                    for path in raw_lora_roots
+                    if isinstance(path, str) and path.strip()
+                ]
+
+        if configured_lora_roots:
+            lora_root = sorted(configured_lora_roots, key=str.casefold)[0]
+            return os.path.abspath(os.path.join(lora_root, "recipes"))
+
+        config_lora_roots = [
+            path
+            for path in getattr(config, "loras_roots", []) or []
+            if isinstance(path, str) and path.strip()
+        ]
+        if not config_lora_roots:
+            return ""
+
+        return os.path.abspath(
+            os.path.join(sorted(config_lora_roots, key=str.casefold)[0], "recipes")
+        )
+
+    def _validate_recipes_storage_path(self, normalized_path: str) -> None:
+        """Ensure the recipes storage target is usable before saving it."""
+
+        if not normalized_path:
+            return
+
+        if os.path.exists(normalized_path) and not os.path.isdir(normalized_path):
+            raise ValueError("Recipes path must point to a directory")
+
+        try:
+            os.makedirs(normalized_path, exist_ok=True)
+        except Exception as exc:
+            raise ValueError(f"Unable to create recipes directory: {exc}") from exc
+
+        try:
+            fd, probe_path = tempfile.mkstemp(
+                prefix=".lora-manager-recipes-", dir=normalized_path
+            )
+            os.close(fd)
+            os.remove(probe_path)
+        except Exception as exc:
+            raise ValueError(f"Recipes path is not writable: {exc}") from exc
+
+    def _migrate_recipes_directory(self, source_dir: str, target_dir: str) -> None:
+        """Move existing recipe files to a new recipes root and rewrite JSON paths."""
+
+        source = os.path.abspath(os.path.normpath(source_dir)) if source_dir else ""
+        target = os.path.abspath(os.path.normpath(target_dir)) if target_dir else ""
+        if not source or not target or source == target:
+            return
+
+        if not os.path.exists(source):
+            os.makedirs(target, exist_ok=True)
+            return
+
+        if os.path.exists(target) and not os.path.isdir(target):
+            raise ValueError("Recipes path must point to a directory")
+
+        try:
+            common_root = os.path.commonpath([source, target])
+        except ValueError as exc:
+            raise ValueError("Invalid recipes path change") from exc
+
+        if common_root == source:
+            raise ValueError("Recipes path cannot be moved into a nested directory")
+
+        planned_recipe_updates: Dict[str, Dict[str, Any]] = {}
+        file_pairs: List[Tuple[str, str]] = []
+
+        for root, _, files in os.walk(source):
+            for filename in files:
+                source_path = os.path.normpath(os.path.join(root, filename))
+                relative_path = os.path.relpath(source_path, source)
+                target_path = os.path.normpath(os.path.join(target, relative_path))
+                file_pairs.append((source_path, target_path))
+
+                if not filename.endswith(".recipe.json"):
+                    continue
+
+                try:
+                    with open(source_path, "r", encoding="utf-8") as handle:
+                        payload = json.load(handle)
+                except Exception as exc:
+                    raise ValueError(
+                        f"Unable to read recipe metadata during migration: {source_path}: {exc}"
+                    ) from exc
+
+                if not isinstance(payload, dict):
+                    continue
+
+                file_path = payload.get("file_path")
+                if isinstance(file_path, str) and file_path.strip():
+                    normalized_file_path = os.path.abspath(
+                        os.path.normpath(os.path.expanduser(file_path))
+                    )
+                    source_candidates = [source]
+                    real_source = os.path.abspath(
+                        os.path.normpath(os.path.realpath(source_dir))
+                    )
+                    if real_source not in source_candidates:
+                        source_candidates.append(real_source)
+
+                    rewritten = False
+                    for source_candidate in source_candidates:
+                        try:
+                            file_common_root = os.path.commonpath(
+                                [normalized_file_path, source_candidate]
+                            )
+                        except ValueError:
+                            continue
+
+                        if file_common_root != source_candidate:
+                            continue
+
+                        image_relative_path = os.path.relpath(
+                            normalized_file_path, source_candidate
+                        )
+                        payload["file_path"] = os.path.normpath(
+                            os.path.join(target, image_relative_path)
+                        )
+                        rewritten = True
+                        break
+
+                    if not rewritten and source_candidates:
+                        logger.debug(
+                            "Skipping recipe file_path rewrite during migration for %s",
+                            normalized_file_path,
+                        )
+
+                planned_recipe_updates[target_path] = payload
+
+        for _, target_path in file_pairs:
+            if os.path.exists(target_path):
+                raise ValueError(
+                    f"Recipes path already contains conflicting file: {target_path}"
+                )
+
+        os.makedirs(target, exist_ok=True)
+
+        for source_path, target_path in file_pairs:
+            os.makedirs(os.path.dirname(target_path), exist_ok=True)
+            shutil.move(source_path, target_path)
+
+        for target_path, payload in planned_recipe_updates.items():
+            with open(target_path, "w", encoding="utf-8") as handle:
+                json.dump(payload, handle, indent=4, ensure_ascii=False)
+
+        for root, dirs, files in os.walk(source, topdown=False):
+            if dirs or files:
+                continue
+            try:
+                os.rmdir(root)
+            except OSError:
+                pass
+
     def set(self, key: str, value: Any) -> None:
         """Set setting value and save"""
         if key == "auto_organize_exclusions":
@@ -1230,6 +1454,12 @@ class SettingsManager:
             value = self.normalize_download_skip_base_models(value)
         elif key == "mature_blur_level":
             value = self.normalize_mature_blur_level(value)
+        elif key == "recipes_path":
+            current_recipes_dir = self._get_effective_recipes_dir()
+            value = self._normalize_recipes_path_value(value)
+            target_recipes_dir = self._get_effective_recipes_dir(value)
+            self._validate_recipes_storage_path(target_recipes_dir)
+            self._migrate_recipes_directory(current_recipes_dir, target_recipes_dir)
         self.settings[key] = value
         portable_switch_pending = False
         if key == "use_portable_settings" and isinstance(value, bool):
@@ -1247,9 +1477,13 @@ class SettingsManager:
             self._update_active_library_entry(default_unet_root=str(value))
         elif key == "default_embedding_root":
             self._update_active_library_entry(default_embedding_root=str(value))
+        elif key == "recipes_path":
+            self._update_active_library_entry(recipes_path=str(value))
         elif key == "model_name_display":
             self._notify_model_name_display_change(value)
         self._save_settings()
+        if key == "recipes_path":
+            self._notify_library_change(self.get_active_library_name())
         if portable_switch_pending:
             self._finalize_portable_switch()
 
@@ -1559,6 +1793,7 @@ class SettingsManager:
         default_checkpoint_root: Optional[str] = None,
         default_unet_root: Optional[str] = None,
         default_embedding_root: Optional[str] = None,
+        recipes_path: Optional[str] = None,
         metadata: Optional[Mapping[str, Any]] = None,
         activate: bool = False,
     ) -> Dict[str, Any]:
@@ -1602,6 +1837,11 @@ class SettingsManager:
                 if default_embedding_root is not None
                 else existing.get("default_embedding_root")
             ),
+            recipes_path=(
+                recipes_path
+                if recipes_path is not None
+                else existing.get("recipes_path")
+            ),
             metadata=metadata if metadata is not None else existing.get("metadata"),
             base=existing,
         )
@@ -1629,6 +1869,7 @@ class SettingsManager:
         default_checkpoint_root: str = "",
         default_unet_root: str = "",
         default_embedding_root: str = "",
+        recipes_path: str = "",
         metadata: Optional[Mapping[str, Any]] = None,
         activate: bool = False,
     ) -> Dict[str, Any]:
@@ -1646,6 +1887,7 @@ class SettingsManager:
             default_checkpoint_root=default_checkpoint_root,
             default_unet_root=default_unet_root,
             default_embedding_root=default_embedding_root,
+            recipes_path=recipes_path,
             metadata=metadata,
             activate=activate,
         )
@@ -1705,6 +1947,7 @@ class SettingsManager:
         default_checkpoint_root: Optional[str] = None,
         default_unet_root: Optional[str] = None,
         default_embedding_root: Optional[str] = None,
+        recipes_path: Optional[str] = None,
     ) -> None:
         """Update folder paths for the active library."""
 
@@ -1717,6 +1960,7 @@ class SettingsManager:
             default_checkpoint_root=default_checkpoint_root,
             default_unet_root=default_unet_root,
             default_embedding_root=default_embedding_root,
+            recipes_path=recipes_path,
             activate=True,
         )
 
@@ -1741,6 +1985,7 @@ class SettingsManager:
                 "checkpoint_scanner",
                 "embedding_scanner",
                 "recipe_scanner",
+                "model_update_service",
             ):
                 service = ServiceRegistry.get_service_sync(service_name)
                 if service and hasattr(service, "on_library_changed"):

py/services/tag_fts_index.py

@@ -450,9 +450,9 @@ class TagFTSIndex:
         the tag_name, the result will include a "matched_alias" field.
 
         Ranking is based on a combination of:
-        1. FTS5 bm25 relevance score (how well the text matches)
-        2. Post count (popularity)
-        3. Exact prefix match boost (tag_name starts with query)
+        1. Exact prefix match boost (tag_name starts with query)
+        2. Post count to preserve expected autocomplete ordering
+        3. FTS5 bm25 relevance score as a deterministic tie-breaker
 
         Args:
             query: The search query string.
@@ -484,65 +484,17 @@ class TagFTSIndex:
             with self._lock:
                 conn = self._connect(readonly=True)
                 try:
-                    # Build the SQL query with bm25 ranking
-                    # FTS5 bm25() returns negative scores, lower is better
-                    # We use -bm25() to get higher=better scores
-                    # Weights: -100.0 for exact matches, 1.0 for others
-                    # Add LOG10(post_count) weighting to boost popular tags
-                    # Use CASE to boost tag_name prefix matches above alias matches
-                    if categories:
-                        placeholders = ",".join("?" * len(categories))
-                        sql = f"""
-                            SELECT t.tag_name, t.category, t.post_count, t.aliases,
-                                   CASE 
-                                       WHEN t.tag_name LIKE ? ESCAPE '\\' THEN 1
-                                       ELSE 0
-                                   END AS is_tag_name_match,
-                                   bm25(tag_fts, -100.0, 1.0, 1.0) + LOG10(t.post_count + 1) * 10.0 AS rank_score
-                            FROM tag_fts
-                            JOIN tags t ON tag_fts.rowid = t.rowid
-                            WHERE tag_fts.searchable_text MATCH ?
-                            AND t.category IN ({placeholders})
-                            ORDER BY is_tag_name_match DESC, rank_score DESC
-                            LIMIT ? OFFSET ?
-                        """
-                        # Escape special LIKE characters and add wildcard
-                        query_escaped = (
-                            query_lower.lstrip("/")
-                            .replace("\\", "\\\\")
-                            .replace("%", "\\%")
-                            .replace("_", "\\_")
-                        )
-                        params = (
-                            [query_escaped + "%", fts_query]
-                            + categories
-                            + [limit, offset]
-                        )
-                    else:
-                        sql = """
-                            SELECT t.tag_name, t.category, t.post_count, t.aliases,
-                                   CASE 
-                                       WHEN t.tag_name LIKE ? ESCAPE '\\' THEN 1
-                                       ELSE 0
-                                   END AS is_tag_name_match,
-                                   bm25(tag_fts, -100.0, 1.0, 1.0) + LOG10(t.post_count + 1) * 10.0 AS rank_score
-                            FROM tag_fts
-                            JOIN tags t ON tag_fts.rowid = t.rowid
-                            WHERE tag_fts.searchable_text MATCH ?
-                            ORDER BY is_tag_name_match DESC, rank_score DESC
-                            LIMIT ? OFFSET ?
-                        """
-                        query_escaped = (
-                            query_lower.lstrip("/")
-                            .replace("\\", "\\\\")
-                            .replace("%", "\\%")
-                            .replace("_", "\\_")
-                        )
-                        params = [query_escaped + "%", fts_query, limit, offset]
-
+                    sql, params = self._build_search_statement(
+                        query_lower=query_lower,
+                        fts_query=fts_query,
+                        categories=categories,
+                        limit=limit,
+                        offset=offset,
+                    )
                     cursor = conn.execute(sql, params)
+                    rows = cursor.fetchall()
                     results = []
-                    for row in cursor.fetchall():
+                    for row in rows:
                         result = {
                             "tag_name": row[0],
                             "category": row[1],
@@ -571,6 +523,62 @@ class TagFTSIndex:
             logger.debug("Tag FTS search error for query '%s': %s", query, exc)
             return []
 
+    def _build_search_statement(
+        self,
+        query_lower: str,
+        fts_query: str,
+        categories: Optional[List[int]],
+        limit: int,
+        offset: int,
+    ) -> tuple[str, list[object]]:
+        """Build the SQL statement and params for a tag search."""
+        # Escape special LIKE characters and add wildcard
+        query_escaped = (
+            query_lower.lstrip("/")
+            .replace("\\", "\\\\")
+            .replace("%", "\\%")
+            .replace("_", "\\_")
+        )
+
+        # FTS5 bm25() returns negative scores, lower is better.
+        # We use -bm25() to get higher=better scores, but keep post_count as the
+        # primary sort within tag-name prefix matches so autocomplete ordering
+        # remains aligned with the existing popularity-first behavior.
+        if categories:
+            placeholders = ",".join("?" * len(categories))
+            sql = f"""
+                SELECT t.tag_name, t.category, t.post_count, t.aliases,
+                       CASE
+                           WHEN t.tag_name LIKE ? ESCAPE '\\' THEN 1
+                           ELSE 0
+                       END AS is_tag_name_match,
+                       bm25(tag_fts, -100.0, 1.0, 1.0) AS rank_score
+                FROM tag_fts
+                CROSS JOIN tags t ON t.rowid = tag_fts.rowid
+                WHERE tag_fts.searchable_text MATCH ?
+                  AND t.category IN ({placeholders})
+                ORDER BY is_tag_name_match DESC, t.post_count DESC, rank_score DESC
+                LIMIT ? OFFSET ?
+            """
+            params = [query_escaped + "%", fts_query] + categories + [limit, offset]
+        else:
+            sql = """
+                SELECT t.tag_name, t.category, t.post_count, t.aliases,
+                       CASE
+                           WHEN t.tag_name LIKE ? ESCAPE '\\' THEN 1
+                           ELSE 0
+                       END AS is_tag_name_match,
+                       bm25(tag_fts, -100.0, 1.0, 1.0) AS rank_score
+                FROM tag_fts
+                JOIN tags t ON tag_fts.rowid = t.rowid
+                WHERE tag_fts.searchable_text MATCH ?
+                ORDER BY is_tag_name_match DESC, t.post_count DESC, rank_score DESC
+                LIMIT ? OFFSET ?
+            """
+            params = [query_escaped + "%", fts_query, limit, offset]
+
+        return sql, params
+
     def _find_matched_alias(
         self, query: str, tag_name: str, aliases_str: str
     ) -> Optional[str]:

py/services/wildcard_service.py

@@ -0,0 +1,428 @@
+"""Managed wildcard loading, search, and text expansion."""
+
+from __future__ import annotations
+
+import json
+import logging
+import os
+import random
+import re
+from dataclasses import dataclass
+from typing import Any, Optional
+
+import yaml
+
+from ..utils.settings_paths import get_settings_dir
+
+logger = logging.getLogger(__name__)
+
+_WILDCARD_PATTERN = re.compile(r"__([\w\s.\-+/*\\]+?)__")
+_OPTION_PATTERN = re.compile(r"{([^{}]*?)}")
+_TRIGGER_WORD_PATTERN = re.compile(r"^trigger_words\d+$")
+_WEIGHTED_OPTION_PATTERN = re.compile(r"^\s*([0-9.]+)::")
+_NUMERIC_PATTERN = re.compile(r"^-?\d+(\.\d+)?$")
+
+
+def _normalize_wildcard_key(value: str) -> str:
+    return value.replace("\\", "/").strip("/").lower()
+
+
+def _is_numeric_string(value: str) -> bool:
+    return bool(_NUMERIC_PATTERN.match(value))
+
+
+def contains_dynamic_syntax(text: str) -> bool:
+    """Return True when text contains supported wildcard or option syntax."""
+
+    return isinstance(text, str) and bool(
+        _WILDCARD_PATTERN.search(text) or _OPTION_PATTERN.search(text)
+    )
+
+
+def get_wildcards_dir(create: bool = False) -> str:
+    """Return the managed wildcard directory inside the settings folder."""
+
+    settings_dir = get_settings_dir(create=create)
+    wildcards_dir = os.path.join(settings_dir, "wildcards")
+    if create:
+        os.makedirs(wildcards_dir, exist_ok=True)
+    return wildcards_dir
+
+
+@dataclass(frozen=True)
+class WildcardEntry:
+    key: str
+    values_count: int
+
+
+@dataclass(frozen=True)
+class WildcardMetadata:
+    has_wildcards: bool
+    wildcards_dir: str
+    supported_formats: tuple[str, ...]
+
+
+class WildcardService:
+    """Discover wildcard keys and expand wildcard syntax."""
+
+    _instance: Optional["WildcardService"] = None
+
+    def __new__(cls) -> "WildcardService":
+        if cls._instance is None:
+            cls._instance = super().__new__(cls)
+        return cls._instance
+
+    def __init__(self) -> None:
+        if getattr(self, "_initialized", False):
+            return
+        self._initialized = True
+        self._cached_signature: tuple[tuple[str, int, int], ...] | None = None
+        self._wildcard_dict: dict[str, list[str]] = {}
+
+    @classmethod
+    def get_instance(cls) -> "WildcardService":
+        return cls()
+
+    def search_keys(
+        self, search_term: str, limit: int = 20, offset: int = 0
+    ) -> list[str]:
+        """Search wildcard keys for autocomplete."""
+
+        normalized_term = _normalize_wildcard_key(search_term).strip()
+        if not normalized_term:
+            return []
+
+        ranked: list[tuple[int, str]] = []
+        compact_term = normalized_term.replace("/", "")
+        for key in self.get_wildcard_dict().keys():
+            score = self._score_entry(key, normalized_term, compact_term)
+            if score is not None:
+                ranked.append((score, key))
+
+        ranked.sort(key=lambda item: (-item[0], item[1]))
+        keys = [key for _, key in ranked]
+        return keys[offset : offset + limit]
+
+    def expand_text(self, text: str, seed: int | None = None) -> str:
+        """Expand wildcard and dynamic prompt syntax for a text value."""
+
+        if not isinstance(text, str) or not text:
+            return text
+
+        rng = random.Random(seed) if seed is not None else random.Random()
+        wildcard_dict = self.get_wildcard_dict()
+        if not wildcard_dict:
+            return self._expand_options_only(text, rng)
+
+        current = text
+        remaining_depth = 100
+
+        while remaining_depth > 0:
+            remaining_depth -= 1
+            after_options, options_replaced = self._replace_options(current, rng)
+            current, wildcards_replaced = self._replace_wildcards(
+                after_options, rng, wildcard_dict
+            )
+            if not options_replaced and not wildcards_replaced:
+                break
+
+        return current
+
+    def get_wildcard_dict(self) -> dict[str, list[str]]:
+        signature = self._build_signature()
+        if signature != self._cached_signature:
+            self._wildcard_dict = self._scan_wildcard_dict()
+            self._cached_signature = signature
+        return self._wildcard_dict
+
+    def get_entries(self) -> list[WildcardEntry]:
+        return [
+            WildcardEntry(key=key, values_count=len(values))
+            for key, values in sorted(self.get_wildcard_dict().items())
+        ]
+
+    def get_metadata(self, *, create_dir: bool = False) -> WildcardMetadata:
+        wildcards_dir = get_wildcards_dir(create=create_dir)
+        return WildcardMetadata(
+            has_wildcards=bool(self.get_wildcard_dict()),
+            wildcards_dir=wildcards_dir,
+            supported_formats=(".txt", ".yaml", ".yml", ".json"),
+        )
+
+    def _build_signature(self) -> tuple[tuple[str, int, int], ...]:
+        root = get_wildcards_dir(create=False)
+        if not os.path.isdir(root):
+            return ()
+
+        signature: list[tuple[str, int, int]] = []
+        for current_root, _dirs, files in os.walk(root, followlinks=True):
+            for file_name in sorted(files):
+                if not file_name.lower().endswith((".txt", ".yaml", ".yml", ".json")):
+                    continue
+                file_path = os.path.join(current_root, file_name)
+                try:
+                    stat = os.stat(file_path)
+                except OSError:
+                    continue
+                rel_path = os.path.relpath(file_path, root).replace("\\", "/")
+                signature.append((rel_path, int(stat.st_mtime_ns), int(stat.st_size)))
+        signature.sort()
+        return tuple(signature)
+
+    def _scan_wildcard_dict(self) -> dict[str, list[str]]:
+        root = get_wildcards_dir(create=False)
+        if not os.path.isdir(root):
+            return {}
+
+        collected: dict[str, list[str]] = {}
+        for current_root, _dirs, files in os.walk(root, followlinks=True):
+            for file_name in sorted(files):
+                file_path = os.path.join(current_root, file_name)
+                lower_name = file_name.lower()
+                try:
+                    if lower_name.endswith(".txt"):
+                        rel_path = os.path.relpath(file_path, root)
+                        key = _normalize_wildcard_key(os.path.splitext(rel_path)[0])
+                        values = self._read_txt(file_path)
+                        if values:
+                            collected[key] = values
+                    elif lower_name.endswith((".yaml", ".yml")):
+                        payload = self._read_yaml(file_path)
+                        self._merge_nested_entries(collected, payload)
+                    elif lower_name.endswith(".json"):
+                        payload = self._read_json(file_path)
+                        self._merge_nested_entries(collected, payload)
+                except Exception as exc:  # pragma: no cover - defensive logging
+                    logger.warning("Failed to load wildcard file %s: %s", file_path, exc)
+
+        return collected
+
+    def _read_txt(self, file_path: str) -> list[str]:
+        try:
+            with open(file_path, "r", encoding="utf-8", errors="ignore") as handle:
+                return [line.strip() for line in handle.read().splitlines() if line.strip()]
+        except OSError as exc:
+            logger.warning("Failed to read wildcard txt file %s: %s", file_path, exc)
+            return []
+
+    def _read_yaml(self, file_path: str) -> Any:
+        with open(file_path, "r", encoding="utf-8") as handle:
+            return yaml.safe_load(handle) or {}
+
+    def _read_json(self, file_path: str) -> Any:
+        with open(file_path, "r", encoding="utf-8") as handle:
+            return json.load(handle)
+
+    def _merge_nested_entries(
+        self, collected: dict[str, list[str]], payload: Any
+    ) -> None:
+        for key, values in self._flatten_payload(payload):
+            collected[key] = values
+
+    def _flatten_payload(
+        self, payload: Any, prefix: str = ""
+    ) -> list[tuple[str, list[str]]]:
+        entries: list[tuple[str, list[str]]] = []
+
+        if isinstance(payload, dict):
+            for key, value in payload.items():
+                next_prefix = f"{prefix}/{key}" if prefix else str(key)
+                entries.extend(self._flatten_payload(value, next_prefix))
+            return entries
+
+        if isinstance(payload, list):
+            normalized_prefix = _normalize_wildcard_key(prefix)
+            values = [value.strip() for value in payload if isinstance(value, str) and value.strip()]
+            if normalized_prefix and values:
+                entries.append((normalized_prefix, values))
+            return entries
+
+        return entries
+
+    def _score_entry(
+        self, key: str, normalized_term: str, compact_term: str
+    ) -> int | None:
+        key_compact = key.replace("/", "")
+        if key == normalized_term:
+            return 5000
+        if key.startswith(normalized_term):
+            return 4000
+        if f"/{normalized_term}" in key:
+            return 3500
+        if normalized_term in key:
+            return 3000
+        if compact_term and key_compact.startswith(compact_term):
+            return 2500
+        if compact_term and compact_term in key_compact:
+            return 2000
+        return None
+
+    def _expand_options_only(self, text: str, rng: random.Random) -> str:
+        current = text
+        remaining_depth = 100
+        while remaining_depth > 0:
+            remaining_depth -= 1
+            current, replaced = self._replace_options(current, rng)
+            if not replaced:
+                break
+        return current
+
+    def _replace_options(
+        self, text: str, rng: random.Random
+    ) -> tuple[str, bool]:
+        replaced_any = False
+
+        def replace_option(match: re.Match[str]) -> str:
+            nonlocal replaced_any
+            replacement = self._resolve_option_group(match.group(1), rng)
+            replaced_any = True
+            return replacement
+
+        return _OPTION_PATTERN.sub(replace_option, text), replaced_any
+
+    def _resolve_option_group(self, group_text: str, rng: random.Random) -> str:
+        options = group_text.split("|")
+        multi_select_pattern = options[0].split("$$")
+        select_range: tuple[int, int] | None = None
+        select_separator = " "
+
+        if len(multi_select_pattern) > 1:
+            count_spec = multi_select_pattern[0]
+            range_match = re.match(r"(\d+)(-(\d+))?$", count_spec)
+            shorthand_match = re.match(r"-(\d+)$", count_spec)
+            if range_match:
+                start_text = range_match.group(1)
+                end_text = range_match.group(3)
+                if end_text is not None and _is_numeric_string(start_text) and _is_numeric_string(end_text):
+                    select_range = (int(start_text), int(end_text))
+                elif _is_numeric_string(start_text):
+                    value = int(start_text)
+                    select_range = (value, value)
+            elif shorthand_match:
+                end_text = shorthand_match.group(1)
+                if _is_numeric_string(end_text):
+                    select_range = (1, int(end_text))
+
+            if select_range is not None and len(multi_select_pattern) == 2:
+                options[0] = multi_select_pattern[1]
+            elif select_range is not None and len(multi_select_pattern) >= 3:
+                select_separator = multi_select_pattern[1]
+                options[0] = multi_select_pattern[2]
+
+        weighted_options: list[tuple[float, str]] = []
+        for option in options:
+            weight = 1.0
+            parts = option.split("::", 1)
+            if len(parts) == 2 and _is_numeric_string(parts[0].strip()):
+                weight = float(parts[0].strip())
+            weighted_options.append((weight, option))
+
+        if select_range is None:
+            selection_count = 1
+        else:
+            selection_count = rng.randint(select_range[0], select_range[1])
+
+        if selection_count <= 1:
+            return self._strip_weight_prefix(self._weighted_choice(weighted_options, rng))
+
+        selection_count = min(selection_count, len(weighted_options))
+        selected: list[str] = []
+        used_indexes: set[int] = set()
+        while len(selected) < selection_count:
+            picked_index = self._weighted_choice_index(weighted_options, rng)
+            if picked_index in used_indexes:
+                if len(used_indexes) == len(weighted_options):
+                    break
+                continue
+            used_indexes.add(picked_index)
+            selected.append(
+                self._strip_weight_prefix(weighted_options[picked_index][1])
+            )
+
+        return select_separator.join(selected)
+
+    def _weighted_choice(
+        self, weighted_options: list[tuple[float, str]], rng: random.Random
+    ) -> str:
+        return weighted_options[self._weighted_choice_index(weighted_options, rng)][1]
+
+    def _weighted_choice_index(
+        self, weighted_options: list[tuple[float, str]], rng: random.Random
+    ) -> int:
+        total_weight = sum(max(weight, 0.0) for weight, _value in weighted_options)
+        if total_weight <= 0:
+            return rng.randrange(len(weighted_options))
+
+        threshold = rng.uniform(0, total_weight)
+        cumulative = 0.0
+        for index, (weight, _value) in enumerate(weighted_options):
+            cumulative += max(weight, 0.0)
+            if threshold <= cumulative:
+                return index
+        return len(weighted_options) - 1
+
+    def _strip_weight_prefix(self, value: str) -> str:
+        return _WEIGHTED_OPTION_PATTERN.sub("", value, count=1)
+
+    def _replace_wildcards(
+        self,
+        text: str,
+        rng: random.Random,
+        wildcard_dict: dict[str, list[str]],
+    ) -> tuple[str, bool]:
+        replaced_any = False
+
+        def replace_match(match: re.Match[str]) -> str:
+            nonlocal replaced_any
+            replacement = self._resolve_wildcard_match(match.group(1), rng, wildcard_dict)
+            if replacement is None:
+                return match.group(0)
+            replaced_any = True
+            return replacement
+
+        return _WILDCARD_PATTERN.sub(replace_match, text), replaced_any
+
+    def _resolve_wildcard_match(
+        self,
+        raw_key: str,
+        rng: random.Random,
+        wildcard_dict: dict[str, list[str]],
+    ) -> str | None:
+        keyword = _normalize_wildcard_key(raw_key)
+        if keyword in wildcard_dict:
+            return rng.choice(wildcard_dict[keyword])
+
+        if "*" in keyword:
+            regex_pattern = keyword.replace("*", ".*").replace("+", r"\+")
+            compiled = re.compile(f"^{regex_pattern}$")
+            aggregated: list[str] = []
+            for key, values in wildcard_dict.items():
+                if compiled.match(key):
+                    aggregated.extend(values)
+            if aggregated:
+                return rng.choice(aggregated)
+
+        if "/" not in keyword:
+            fallback_keyword = _normalize_wildcard_key(f"*/{keyword}")
+            if fallback_keyword != keyword:
+                return self._resolve_wildcard_match(fallback_keyword, rng, wildcard_dict)
+
+        return None
+
+
+def is_trigger_words_input(name: str) -> bool:
+    return bool(_TRIGGER_WORD_PATTERN.match(name))
+
+
+def get_wildcard_service() -> WildcardService:
+    return WildcardService.get_instance()
+
+
+__all__ = [
+    "WildcardService",
+    "WildcardMetadata",
+    "contains_dynamic_syntax",
+    "get_wildcard_service",
+    "get_wildcards_dir",
+    "is_trigger_words_input",
+]

py/utils/cache_paths.py

@@ -11,6 +11,8 @@ Target structure:
         │   └── symlink_map.json
         ├── model/
         │   └── {library_name}.sqlite
+        ├── model_update/
+        │   └── {library_name}.sqlite
         ├── recipe/
         │   └── {library_name}.sqlite
         └── fts/
@@ -36,6 +38,7 @@ class CacheType(Enum):
     """Types of cache files managed by the cache path resolver."""
 
     MODEL = "model"
+    MODEL_UPDATE = "model_update"
     RECIPE = "recipe"
     RECIPE_FTS = "recipe_fts"
     TAG_FTS = "tag_fts"
@@ -45,6 +48,7 @@ class CacheType(Enum):
 # Subdirectory structure for each cache type
 _CACHE_SUBDIRS = {
     CacheType.MODEL: "model",
+    CacheType.MODEL_UPDATE: "model_update",
     CacheType.RECIPE: "recipe",
     CacheType.RECIPE_FTS: "fts",
     CacheType.TAG_FTS: "fts",
@@ -54,6 +58,7 @@ _CACHE_SUBDIRS = {
 # Filename patterns for each cache type
 _CACHE_FILENAMES = {
     CacheType.MODEL: "{library_name}.sqlite",
+    CacheType.MODEL_UPDATE: "{library_name}.sqlite",
     CacheType.RECIPE: "{library_name}.sqlite",
     CacheType.RECIPE_FTS: "recipe_fts.sqlite",
     CacheType.TAG_FTS: "tag_fts.sqlite",

py/utils/civitai_utils.py

@@ -22,7 +22,9 @@ def _normalize_commercial_values(value: Any) -> Sequence[str]:
 
     def _split_aggregate(value_str: str) -> list[str]:
         stripped = value_str.strip()
-        looks_aggregate = "," in stripped or (stripped.startswith("{") and stripped.endswith("}"))
+        looks_aggregate = "," in stripped or (
+            stripped.startswith("{") and stripped.endswith("}")
+        )
         if not looks_aggregate:
             return [value_str]
 
@@ -141,14 +143,18 @@ def build_license_flags(payload: Mapping[str, Any] | None) -> int:
     return flags
 
 
-def resolve_license_info(model_data: Mapping[str, Any] | None) -> tuple[Dict[str, Any], int]:
+def resolve_license_info(
+    model_data: Mapping[str, Any] | None,
+) -> tuple[Dict[str, Any], int]:
     """Return normalized license payload and its encoded bitset."""
 
     payload = resolve_license_payload(model_data)
     return payload, build_license_flags(payload)
 
 
-def rewrite_preview_url(source_url: str | None, media_type: str | None = None) -> tuple[str | None, bool]:
+def rewrite_preview_url(
+    source_url: str | None, media_type: str | None = None
+) -> tuple[str | None, bool]:
     """Rewrite Civitai preview URLs to use optimized renditions.
 
     Args:
@@ -168,7 +174,12 @@ def rewrite_preview_url(source_url: str | None, media_type: str | None = None) -
     except ValueError:
         return source_url, False
 
-    if parsed.netloc.lower() != "image.civitai.com":
+    hostname = parsed.hostname
+    if hostname is None:
+        return source_url, False
+
+    hostname = hostname.lower()
+    if hostname == "civitai.com" or not hostname.endswith(".civitai.com"):
         return source_url, False
 
     replacement = "/width=450,optimized=true"

py/utils/constants.py

@@ -101,6 +101,7 @@ DEFAULT_PRIORITY_TAG_CONFIG = {
 DIFFUSION_MODEL_BASE_MODELS = frozenset(
     [
         "ZImageTurbo",
+        "ZImageBase",
         "Wan Video 1.3B t2v",
         "Wan Video 14B t2v",
         "Wan Video 14B i2v 480p",

py/utils/session_logging.py

@@ -0,0 +1,136 @@
+from __future__ import annotations
+
+import logging
+import os
+import threading
+import uuid
+from collections import deque
+from dataclasses import dataclass
+from datetime import datetime, timezone
+from typing import Any
+
+
+LOG_FORMAT = "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+_SESSION_HANDLER_NAME = "lora_manager_standalone_session_memory"
+_FILE_HANDLER_NAME = "lora_manager_standalone_session_file"
+_session_state: "StandaloneSessionLogState | None" = None
+_session_lock = threading.Lock()
+
+
+@dataclass
+class StandaloneSessionLogState:
+    started_at: str
+    session_id: str
+    log_file_path: str | None
+    memory_handler: "StandaloneSessionMemoryHandler"
+
+
+class StandaloneSessionMemoryHandler(logging.Handler):
+    def __init__(self, capacity: int = 4000) -> None:
+        super().__init__()
+        self._entries: deque[str] = deque(maxlen=capacity)
+        self._lock = threading.Lock()
+
+    def emit(self, record: logging.LogRecord) -> None:
+        try:
+            rendered = self.format(record)
+        except Exception:
+            rendered = record.getMessage()
+
+        with self._lock:
+            self._entries.append(rendered)
+
+    def render(self, max_lines: int | None = None) -> str:
+        with self._lock:
+            entries = list(self._entries)
+
+        if max_lines is not None and max_lines > 0:
+            entries = entries[-max_lines:]
+
+        if not entries:
+            return ""
+
+        return "\n".join(entries) + "\n"
+
+
+def _build_log_file_path(settings_file: str | None, started_at: datetime) -> str | None:
+    if not settings_file:
+        return None
+
+    settings_dir = os.path.dirname(os.path.abspath(settings_file))
+    log_dir = os.path.join(settings_dir, "logs")
+    os.makedirs(log_dir, exist_ok=True)
+    timestamp = started_at.strftime("%Y%m%dT%H%M%SZ")
+    return os.path.join(log_dir, f"standalone-session-{timestamp}.log")
+
+
+def setup_standalone_session_logging(settings_file: str | None) -> StandaloneSessionLogState:
+    global _session_state
+
+    with _session_lock:
+        if _session_state is not None:
+            return _session_state
+
+        started_dt = datetime.now(timezone.utc)
+        started_at = started_dt.replace(microsecond=0).isoformat()
+        session_id = f"{started_dt.strftime('%Y%m%dT%H%M%SZ')}-{uuid.uuid4().hex[:8]}"
+        formatter = logging.Formatter(LOG_FORMAT)
+        root_logger = logging.getLogger()
+        if root_logger.level > logging.INFO:
+            root_logger.setLevel(logging.INFO)
+
+        memory_handler = StandaloneSessionMemoryHandler()
+        memory_handler.set_name(_SESSION_HANDLER_NAME)
+        memory_handler.setFormatter(formatter)
+        root_logger.addHandler(memory_handler)
+
+        log_file_path = _build_log_file_path(settings_file, started_dt)
+        if log_file_path:
+            file_handler = logging.FileHandler(log_file_path, encoding="utf-8")
+            file_handler.set_name(_FILE_HANDLER_NAME)
+            file_handler.setFormatter(formatter)
+            root_logger.addHandler(file_handler)
+
+        _session_state = StandaloneSessionLogState(
+            started_at=started_at,
+            session_id=session_id,
+            log_file_path=log_file_path,
+            memory_handler=memory_handler,
+        )
+
+    logger = logging.getLogger("lora-manager-standalone")
+    logger.info("LoRA Manager standalone startup time: %s", started_at)
+    logger.info("LoRA Manager standalone session id: %s", session_id)
+    if log_file_path:
+        logger.info("LoRA Manager standalone session log path: %s", log_file_path)
+
+    return _session_state
+
+
+def get_standalone_session_log_snapshot(max_lines: int = 2000) -> dict[str, Any] | None:
+    state = _session_state
+    if state is None:
+        return None
+
+    return {
+        "started_at": state.started_at,
+        "session_id": state.session_id,
+        "log_file_path": state.log_file_path,
+        "in_memory_text": state.memory_handler.render(max_lines=max_lines),
+    }
+
+
+def reset_standalone_session_logging_for_tests() -> None:
+    global _session_state
+
+    with _session_lock:
+        root_logger = logging.getLogger()
+        handlers_to_remove = [
+            handler
+            for handler in root_logger.handlers
+            if handler.get_name() in {_SESSION_HANDLER_NAME, _FILE_HANDLER_NAME}
+        ]
+        for handler in handlers_to_remove:
+            root_logger.removeHandler(handler)
+            handler.close()
+        _session_state = None

py/utils/usage_stats.py

@@ -29,6 +29,18 @@ if not standalone_mode:
 
 logger = logging.getLogger(__name__)
 
+_DEFAULT_CHECKPOINT_EXTENSIONS = {
+    ".ckpt",
+    ".pt",
+    ".pt2",
+    ".bin",
+    ".pth",
+    ".safetensors",
+    ".pkl",
+    ".sft",
+    ".gguf",
+}
+
 class UsageStats:
     """Track usage statistics for models and save to JSON"""
     
@@ -291,6 +303,151 @@ class UsageStats:
         # Process loras
         if LORAS in metadata and isinstance(metadata[LORAS], dict):
             await self._process_loras(metadata[LORAS], today)
+
+    def _increment_usage_counter(self, category: str, stat_key: str, today_date: str) -> None:
+        """Increment usage counters for a resolved stats key."""
+        if stat_key not in self.stats[category]:
+            self.stats[category][stat_key] = {
+                "total": 0,
+                "history": {}
+            }
+
+        self.stats[category][stat_key]["total"] += 1
+
+        if today_date not in self.stats[category][stat_key]["history"]:
+            self.stats[category][stat_key]["history"][today_date] = 0
+        self.stats[category][stat_key]["history"][today_date] += 1
+
+    def _normalize_model_lookup_name(self, model_name: str) -> str:
+        """Normalize a model reference to its base filename without extension."""
+        return os.path.splitext(os.path.basename(model_name))[0]
+
+    async def _find_cached_checkpoint_entry(self, checkpoint_scanner, model_name: str):
+        """Best-effort lookup for a checkpoint cache entry by filename/model name."""
+        get_cached_data = getattr(checkpoint_scanner, "get_cached_data", None)
+        if not callable(get_cached_data):
+            return None
+
+        cache = await get_cached_data()
+        raw_data = getattr(cache, "raw_data", None)
+        if not isinstance(raw_data, list):
+            return None
+
+        normalized_name = self._normalize_model_lookup_name(model_name)
+        for entry in raw_data:
+            if not isinstance(entry, dict):
+                continue
+
+            for candidate_key in ("file_name", "model_name", "file_path"):
+                candidate_value = entry.get(candidate_key)
+                if not candidate_value or not isinstance(candidate_value, str):
+                    continue
+                if self._normalize_model_lookup_name(candidate_value) == normalized_name:
+                    return entry
+
+        return None
+
+    async def _find_checkpoint_file_on_disk(self, checkpoint_scanner, model_name: str):
+        """Search checkpoint roots directly for a matching file.
+
+        This is used when usage tracking sees a checkpoint name before the cache has
+        been refreshed. The lookup is intentionally exact: we only match the model
+        basename and supported checkpoint extensions.
+        """
+        get_model_roots = getattr(checkpoint_scanner, "get_model_roots", None)
+        if not callable(get_model_roots):
+            return None
+
+        roots = [root for root in get_model_roots() if root]
+        if not roots:
+            return None
+
+        supported_extensions = getattr(
+            checkpoint_scanner, "file_extensions", _DEFAULT_CHECKPOINT_EXTENSIONS
+        )
+        if not isinstance(supported_extensions, (set, frozenset, list, tuple)):
+            supported_extensions = _DEFAULT_CHECKPOINT_EXTENSIONS
+
+        normalized_name = self._normalize_model_lookup_name(model_name)
+        matches: list[str] = []
+
+        for root_path in roots:
+            if not os.path.exists(root_path):
+                continue
+
+            for dirpath, _dirnames, filenames in os.walk(root_path):
+                for filename in filenames:
+                    extension = os.path.splitext(filename)[1].lower()
+                    if extension not in supported_extensions:
+                        continue
+
+                    if os.path.splitext(filename)[0] != normalized_name:
+                        continue
+
+                    matches.append(os.path.join(dirpath, filename).replace(os.sep, "/"))
+
+        if len(matches) > 1:
+            logger.warning(
+                "Multiple checkpoint files matched '%s'; skipping usage tracking: %s",
+                normalized_name,
+                ", ".join(matches),
+            )
+            return None
+
+        return matches[0] if matches else None
+
+    async def _resolve_checkpoint_hash(self, checkpoint_scanner, model_name: str):
+        """Resolve a checkpoint hash, calculating pending hashes on demand when needed."""
+        model_filename = self._normalize_model_lookup_name(model_name)
+        model_hash = checkpoint_scanner.get_hash_by_filename(model_filename)
+        if model_hash:
+            return model_hash
+
+        cached_entry = await self._find_cached_checkpoint_entry(checkpoint_scanner, model_name)
+        if cached_entry:
+            cached_hash = cached_entry.get("sha256")
+            if cached_hash:
+                return cached_hash
+
+            hash_status = cached_entry.get("hash_status")
+            if hash_status and hash_status != "pending":
+                logger.warning(
+                    "Checkpoint '%s' has hash_status=%s; skipping usage tracking",
+                    model_filename,
+                    hash_status,
+                )
+                return None
+
+        file_path = cached_entry.get("file_path") if cached_entry else None
+        if not file_path:
+            file_path = await self._find_checkpoint_file_on_disk(
+                checkpoint_scanner, model_name
+            )
+
+        if not file_path:
+            logger.warning(
+                f"No hash found for checkpoint '{model_filename}', skipping usage tracking"
+            )
+            return None
+
+        calculate_hash = getattr(checkpoint_scanner, "calculate_hash_for_model", None)
+        if not callable(calculate_hash):
+            logger.warning("Checkpoint scanner not available for usage tracking")
+            return None
+
+        logger.info(
+            "Calculating hash for checkpoint '%s' from %s",
+            model_filename,
+            file_path,
+        )
+        calculated_hash = await calculate_hash(file_path)
+        if calculated_hash:
+            return calculated_hash
+
+        logger.warning(
+            f"Failed to calculate hash for checkpoint '{model_filename}', skipping usage tracking"
+        )
+        return None
     
     async def _process_checkpoints(self, models_data, today_date):
         """Process checkpoint models from metadata"""
@@ -311,27 +468,12 @@ class UsageStats:
                     model_name = model_info.get("name")
                     if not model_name:
                         continue
-                    
-                    # Clean up filename (remove extension if present)
-                    model_filename = os.path.splitext(os.path.basename(model_name))[0]
-                    
-                    # Get hash for this checkpoint
-                    model_hash = checkpoint_scanner.get_hash_by_filename(model_filename)
-                    if model_hash:
-                        # Update stats for this checkpoint with date tracking
-                        if model_hash not in self.stats["checkpoints"]:
-                            self.stats["checkpoints"][model_hash] = {
-                                "total": 0,
-                                "history": {}
-                            }
-                        
-                        # Increment total count
-                        self.stats["checkpoints"][model_hash]["total"] += 1
-                        
-                        # Increment today's count
-                        if today_date not in self.stats["checkpoints"][model_hash]["history"]:
-                            self.stats["checkpoints"][model_hash]["history"][today_date] = 0
-                        self.stats["checkpoints"][model_hash]["history"][today_date] += 1
+
+                    model_hash = await self._resolve_checkpoint_hash(checkpoint_scanner, model_name)
+                    if not model_hash:
+                        continue
+
+                    self._increment_usage_counter("checkpoints", model_hash, today_date)
         except Exception as e:
             logger.error(f"Error processing checkpoint usage: {e}", exc_info=True)
     
@@ -360,21 +502,11 @@ class UsageStats:
                     
                     # Get hash for this LoRA
                     lora_hash = lora_scanner.get_hash_by_filename(lora_name)
-                    if lora_hash:
-                        # Update stats for this LoRA with date tracking
-                        if lora_hash not in self.stats["loras"]:
-                            self.stats["loras"][lora_hash] = {
-                                "total": 0,
-                                "history": {}
-                            }
-                        
-                        # Increment total count
-                        self.stats["loras"][lora_hash]["total"] += 1
-                        
-                        # Increment today's count
-                        if today_date not in self.stats["loras"][lora_hash]["history"]:
-                            self.stats["loras"][lora_hash]["history"][today_date] = 0
-                        self.stats["loras"][lora_hash]["history"][today_date] += 1
+                    if not lora_hash:
+                        logger.warning(f"No hash found for LoRA '{lora_name}', skipping usage tracking")
+                        continue
+
+                    self._increment_usage_counter("loras", lora_hash, today_date)
         except Exception as e:
             logger.error(f"Error processing LoRA usage: {e}", exc_info=True)
     

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-lora-manager"
 description = "Revolutionize your workflow with the ultimate LoRA companion for ComfyUI!"
-version = "1.0.0"
+version = "1.0.3"
 license = {file = "LICENSE"}
 dependencies = [
     "aiohttp",
@@ -14,7 +14,8 @@ dependencies = [
     "natsort",
     "GitPython",
     "aiosqlite",
-    "platformdirs"
+    "platformdirs",
+    "pyyaml"
 ]
 
 [project.urls]

requirements.txt

@@ -11,3 +11,4 @@ GitPython
 aiosqlite
 beautifulsoup4
 platformdirs
+pyyaml

standalone.py

@@ -113,6 +113,8 @@ import asyncio
 import logging
 from aiohttp import web
 
+from py.utils.session_logging import setup_standalone_session_logging
+
 # Increase allowable header size to align with in-ComfyUI configuration.
 HEADER_SIZE_LIMIT = 16384
 
@@ -125,6 +127,8 @@ logger = logging.getLogger("lora-manager-standalone")
 # Configure aiohttp access logger to be less verbose
 logging.getLogger("aiohttp.access").setLevel(logging.WARNING)
 
+setup_standalone_session_logging(ensure_settings_file(logger))
+
 
 # Add specific suppression for connection reset errors
 class ConnectionResetFilter(logging.Filter):

static/css/components/lora-modal/versions.css

@@ -163,6 +163,18 @@
     cursor: pointer;
 }
 
+.model-version-row.is-clickable .version-actions,
+.model-version-row.is-clickable .version-badges,
+.model-version-row.is-clickable .version-action,
+.model-version-row.is-clickable .version-civitai-link {
+    cursor: default;
+}
+
+.model-version-row.is-clickable .version-action,
+.model-version-row.is-clickable .version-civitai-link {
+    cursor: pointer;
+}
+
 .model-version-row.is-current {
     border-color: var(--lora-accent);
     box-shadow: 0 0 0 1px color-mix(in oklch, var(--lora-accent) 65%, transparent),
@@ -217,6 +229,7 @@
     gap: 8px;
     font-weight: 600;
     font-size: 0.95rem;
+    min-width: 0;
 }
 
 .versions-tab-version-name {
@@ -226,6 +239,27 @@
     max-width: 100%;
 }
 
+.version-civitai-link {
+    display: inline-flex;
+    align-items: center;
+    justify-content: center;
+    width: 24px;
+    height: 24px;
+    border-radius: 999px;
+    color: var(--text-muted);
+    text-decoration: none;
+    flex: 0 0 auto;
+    transition: color 0.2s ease, background-color 0.2s ease, transform 0.2s ease;
+}
+
+.version-civitai-link:hover,
+.version-civitai-link:focus-visible {
+    color: var(--lora-accent);
+    background: color-mix(in oklch, var(--lora-accent) 12%, transparent);
+    transform: translateY(-1px);
+    outline: none;
+}
+
 .version-badges {
     display: flex;
     flex-wrap: wrap;

static/css/components/modal/_base.css

@@ -311,6 +311,161 @@ button:disabled,
     color: var(--lora-error, #ef4444);
 }
 
+.backup-status {
+    background: rgba(0, 0, 0, 0.03);
+    border: 1px solid rgba(0, 0, 0, 0.1);
+    border-radius: var(--border-radius-sm);
+    padding: var(--space-3);
+}
+
+[data-theme="dark"] .backup-status {
+    background: rgba(255, 255, 255, 0.03);
+    border: 1px solid var(--lora-border);
+}
+
+.backup-summary-grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(160px, 1fr));
+    gap: var(--space-2);
+    margin-bottom: var(--space-3);
+}
+
+.backup-summary-card {
+    background: rgba(255, 255, 255, 0.5);
+    border: 1px solid rgba(0, 0, 0, 0.06);
+    border-radius: var(--border-radius-sm);
+    padding: var(--space-2);
+}
+
+[data-theme="dark"] .backup-summary-card {
+    background: rgba(255, 255, 255, 0.02);
+    border-color: rgba(255, 255, 255, 0.05);
+}
+
+.backup-summary-label {
+    color: var(--text-color);
+    font-size: 0.85rem;
+    opacity: 0.7;
+    margin-bottom: 6px;
+}
+
+.backup-summary-value {
+    color: var(--text-color);
+    font-size: 1.1rem;
+    font-weight: 600;
+    line-height: 1.3;
+    word-break: break-word;
+}
+
+.backup-summary-value.status-enabled {
+    color: var(--lora-success, #10b981);
+}
+
+.backup-summary-value.status-disabled {
+    color: var(--lora-error, #ef4444);
+}
+
+.backup-status-list {
+    display: flex;
+    flex-direction: column;
+    gap: var(--space-2);
+}
+
+.backup-status-row {
+    display: grid;
+    grid-template-columns: minmax(140px, 180px) 1fr;
+    gap: var(--space-2);
+    align-items: start;
+}
+
+.backup-status-label {
+    color: var(--text-color);
+    font-weight: 500;
+    opacity: 0.8;
+}
+
+.backup-status-content {
+    min-width: 0;
+}
+
+.backup-status-primary {
+    color: var(--text-color);
+    font-weight: 600;
+    line-height: 1.4;
+}
+
+.backup-status-secondary {
+    color: var(--text-color);
+    opacity: 0.72;
+    font-size: 0.88rem;
+    line-height: 1.4;
+    word-break: break-word;
+    margin-top: 2px;
+}
+
+.backup-location-details {
+    border: 1px solid rgba(0, 0, 0, 0.1);
+    border-radius: var(--border-radius-sm);
+    background: rgba(0, 0, 0, 0.02);
+}
+
+[data-theme="dark"] .backup-location-details {
+    border-color: var(--lora-border);
+    background: rgba(255, 255, 255, 0.02);
+}
+
+.backup-location-details summary {
+    cursor: pointer;
+    padding: var(--space-2) var(--space-3);
+    color: var(--text-color);
+    font-weight: 500;
+}
+
+.backup-location-panel {
+    display: grid;
+    grid-template-columns: minmax(0, 1fr) auto;
+    gap: var(--space-2);
+    align-items: center;
+    width: 100%;
+    max-width: 100%;
+    box-sizing: border-box;
+    padding: 0 var(--space-3) var(--space-3);
+}
+
+.backup-location-panel .text-btn {
+    justify-self: end;
+}
+
+.backup-location-path {
+    display: block;
+    min-width: 0;
+    max-width: 100%;
+    padding: 6px 8px;
+    border-radius: var(--border-radius-sm);
+    background: rgba(0, 0, 0, 0.05);
+    color: var(--text-color);
+    overflow-wrap: anywhere;
+    word-break: break-word;
+}
+
+[data-theme="dark"] .backup-location-path {
+    background: rgba(255, 255, 255, 0.05);
+}
+
+@media (max-width: 768px) {
+    .backup-status-row {
+        grid-template-columns: 1fr;
+    }
+
+    .backup-location-panel {
+        grid-template-columns: 1fr;
+    }
+
+    .backup-location-panel .text-btn {
+        justify-self: start;
+    }
+}
+
 /* Add styles for delete preview image */
 .delete-preview {
     max-width: 150px;

static/css/components/modal/doctor-modal.css

@@ -0,0 +1,281 @@
+.doctor-trigger {
+    min-width: 120px;
+    position: relative;
+    border-color: color-mix(in srgb, var(--lora-accent) 24%, var(--border-color));
+}
+
+.doctor-trigger i {
+    color: var(--lora-accent);
+}
+
+.doctor-status-badge {
+    display: inline-flex;
+    align-items: center;
+    justify-content: center;
+    min-width: 18px;
+    height: 18px;
+    padding: 0 5px;
+    border-radius: 999px;
+    background: var(--lora-error);
+    color: #fff;
+    font-size: 11px;
+    line-height: 1;
+    font-weight: 700;
+}
+
+.doctor-status-badge.hidden {
+    display: none;
+}
+
+.doctor-modal {
+    width: min(960px, 92vw);
+    max-width: 960px;
+}
+
+.doctor-shell {
+    display: flex;
+    flex-direction: column;
+    gap: var(--space-3);
+    padding-top: var(--space-2);
+}
+
+.doctor-hero {
+    display: flex;
+    justify-content: space-between;
+    gap: var(--space-3);
+    align-items: flex-start;
+    margin-top: var(--space-2);
+    padding: var(--space-3);
+    border-radius: var(--border-radius-sm);
+    border: 1px solid var(--lora-border);
+    background: rgba(0, 0, 0, 0.03);
+    box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.03);
+}
+
+.doctor-kicker {
+    display: inline-block;
+    font-size: 0.75rem;
+    font-weight: 700;
+    text-transform: uppercase;
+    letter-spacing: 0.08em;
+    color: var(--lora-accent);
+    margin-bottom: 6px;
+}
+
+.doctor-hero h2 {
+    margin: 0 0 8px;
+}
+
+.doctor-hero p {
+    margin: 0;
+    color: var(--text-color);
+    opacity: 0.88;
+}
+
+.doctor-summary-badge {
+    display: inline-flex;
+    align-items: center;
+    gap: 8px;
+    border-radius: 999px;
+    padding: 8px 12px;
+    font-weight: 700;
+    white-space: nowrap;
+    border: 1px solid transparent;
+}
+
+.doctor-status-ok {
+    background: color-mix(in oklch, var(--lora-success) 14%, transparent);
+    border-color: color-mix(in oklch, var(--lora-success) 28%, transparent);
+    color: color-mix(in oklch, var(--lora-success) 72%, var(--text-color));
+}
+
+.doctor-status-warning {
+    background: color-mix(in oklch, var(--lora-warning) 16%, transparent);
+    border-color: color-mix(in oklch, var(--lora-warning) 30%, transparent);
+    color: color-mix(in oklch, var(--lora-warning) 70%, var(--text-color));
+}
+
+.doctor-status-error {
+    background: color-mix(in oklch, var(--lora-error) 16%, transparent);
+    border-color: color-mix(in oklch, var(--lora-error) 30%, transparent);
+    color: color-mix(in oklch, var(--lora-error) 68%, var(--text-color));
+}
+
+.doctor-loading-state {
+    display: inline-flex;
+    align-items: center;
+    gap: 10px;
+    padding: 12px 16px;
+    min-height: 22px;
+    border-radius: var(--border-radius-sm);
+    background: var(--lora-surface);
+    border: 1px solid var(--lora-border);
+    visibility: hidden;
+    opacity: 0;
+    pointer-events: none;
+    transition: opacity 0.18s ease, visibility 0.18s ease;
+}
+
+.doctor-loading-state.visible {
+    visibility: visible;
+    opacity: 1;
+}
+
+.doctor-issues-list {
+    display: grid;
+    gap: var(--space-2);
+}
+
+.doctor-issue-card {
+    border: 1px solid rgba(0, 0, 0, 0.1);
+    background: rgba(0, 0, 0, 0.03);
+    border-radius: var(--border-radius-sm);
+    padding: var(--space-3);
+    box-shadow: none;
+}
+
+.doctor-issue-card[data-status="warning"] {
+    border-color: color-mix(in oklch, var(--lora-warning) 32%, var(--lora-border));
+}
+
+.doctor-issue-card[data-status="error"] {
+    border-color: color-mix(in oklch, var(--lora-error) 28%, var(--lora-border));
+}
+
+.doctor-issue-header {
+    display: flex;
+    justify-content: space-between;
+    gap: var(--space-2);
+    align-items: flex-start;
+}
+
+.doctor-issue-header h3 {
+    margin: 0 0 6px;
+    font-size: 1rem;
+}
+
+.doctor-issue-summary {
+    margin: 0;
+    color: var(--text-color);
+    opacity: 0.92;
+}
+
+.doctor-issue-tag {
+    display: inline-flex;
+    align-items: center;
+    gap: 6px;
+    border-radius: 999px;
+    padding: 6px 10px;
+    font-size: 0.8rem;
+    font-weight: 700;
+}
+
+.doctor-issue-card[data-status="ok"] .doctor-issue-tag {
+    background: color-mix(in oklch, var(--lora-success) 14%, transparent);
+    color: color-mix(in oklch, var(--lora-success) 72%, var(--text-color));
+}
+
+.doctor-issue-card[data-status="warning"] .doctor-issue-tag {
+    background: color-mix(in oklch, var(--lora-warning) 16%, transparent);
+    color: color-mix(in oklch, var(--lora-warning) 70%, var(--text-color));
+}
+
+.doctor-issue-card[data-status="error"] .doctor-issue-tag {
+    background: color-mix(in oklch, var(--lora-error) 16%, transparent);
+    color: color-mix(in oklch, var(--lora-error) 68%, var(--text-color));
+}
+
+.doctor-issue-details {
+    margin: 14px 0 0;
+    padding-left: 18px;
+    color: var(--text-color);
+}
+
+.doctor-issue-details li + li {
+    margin-top: 8px;
+}
+
+.doctor-issue-actions {
+    display: flex;
+    flex-wrap: wrap;
+    gap: 10px;
+    margin-top: 16px;
+}
+
+.doctor-inline-detail-grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(160px, 1fr));
+    gap: 10px;
+    margin-top: 14px;
+}
+
+.doctor-inline-detail {
+    padding: 10px 12px;
+    border-radius: var(--border-radius-xs);
+    background: var(--lora-surface);
+    border: 1px solid var(--lora-border);
+}
+
+.doctor-inline-detail strong {
+    display: block;
+    margin-bottom: 4px;
+    font-size: 0.82rem;
+}
+
+.doctor-footer {
+    display: flex;
+    justify-content: space-between;
+    gap: var(--space-2);
+    align-items: center;
+    padding-top: var(--space-1);
+}
+
+.doctor-footer-note {
+    color: var(--text-color);
+    opacity: 0.82;
+}
+
+.doctor-footer-actions {
+    display: flex;
+    gap: 10px;
+}
+
+[data-theme="dark"] .doctor-hero,
+[data-theme="dark"] .doctor-issue-card {
+    background: rgba(255, 255, 255, 0.03);
+    border-color: var(--lora-border);
+    box-shadow: none;
+}
+
+@media (max-width: 760px) {
+    .doctor-trigger {
+        min-width: auto;
+        padding-inline: 10px;
+    }
+
+    .doctor-trigger span:not(.doctor-status-badge) {
+        display: none;
+    }
+
+    .doctor-hero,
+    .doctor-footer {
+        flex-direction: column;
+        align-items: stretch;
+    }
+
+    .doctor-hero {
+        padding-right: var(--space-3);
+    }
+
+    .doctor-summary-badge {
+        align-self: flex-start;
+    }
+
+    .doctor-footer-actions {
+        width: 100%;
+    }
+
+    .doctor-footer-actions button {
+        flex: 1;
+    }
+}

static/css/components/modal/settings-modal.css

@@ -102,6 +102,13 @@
     overflow-y: auto;
     padding: var(--space-3);
     scroll-behavior: smooth;
+    scrollbar-gutter: stable;
+}
+
+@supports not (scrollbar-gutter: stable) {
+    .settings-content {
+        overflow-y: scroll;
+    }
 }
 
 .settings-content .settings-form {

static/css/components/recipe-modal.css

@@ -1036,6 +1036,73 @@
     }
 }
 
+@media (max-height: 860px) {
+    #recipeModal .modal-content {
+        padding-top: var(--space-2);
+        padding-bottom: var(--space-2);
+    }
+
+    .recipe-modal-header {
+        padding-bottom: 6px;
+        margin-bottom: 8px;
+    }
+
+    .recipe-modal-header h2 {
+        font-size: 1.25em;
+        max-height: 2.5em;
+    }
+
+    .recipe-tags-container {
+        margin-bottom: 6px;
+    }
+
+    .recipe-top-section {
+        grid-template-columns: 1fr;
+        gap: var(--space-1);
+        margin-bottom: var(--space-1);
+    }
+
+    .recipe-preview-container {
+        display: none;
+    }
+
+    .recipe-gen-params {
+        height: auto;
+        max-height: 210px;
+    }
+
+    .recipe-gen-params h3 {
+        margin-bottom: var(--space-1);
+        font-size: 1.05em;
+    }
+
+    .gen-params-container {
+        gap: var(--space-1);
+    }
+
+    .param-content {
+        max-height: 90px;
+        padding: 10px;
+    }
+
+    .param-textarea {
+        min-height: 100px;
+    }
+
+    .other-params {
+        margin-top: 0;
+        gap: 6px;
+    }
+
+    .recipe-bottom-section {
+        padding-top: var(--space-1);
+    }
+
+    .recipe-section-header {
+        margin-bottom: var(--space-1);
+    }
+}
+
 .badge-container {
     position: relative;
     display: flex;

static/css/components/shared.css

@@ -21,6 +21,27 @@
     font-size: 0.9em;
 }
 
+.downloaded-badge {
+    display: inline-flex;
+    align-items: center;
+    background: color-mix(in oklch, var(--badge-update-bg, #4a90e2) 22%, transparent);
+    color: var(--badge-update-bg, #4a90e2);
+    border: 1px solid color-mix(in oklch, var(--badge-update-bg, #4a90e2) 50%, transparent);
+    padding: 4px 8px;
+    border-radius: var(--border-radius-xs);
+    font-size: 0.8em;
+    font-weight: 500;
+    white-space: nowrap;
+    flex-shrink: 0;
+    transform: translateZ(0);
+    will-change: transform;
+}
+
+.downloaded-badge i {
+    margin-right: 4px;
+    font-size: 0.9em;
+}
+
 /* Early Access Badge */
 .early-access-badge {
     display: inline-flex;
@@ -108,4 +129,4 @@
     color: var(--lora-error);
     font-size: 0.9em;
     margin-top: 4px;
-}
+}

static/css/style.css

@@ -12,6 +12,7 @@
 @import 'components/modal/delete-modal.css';
 @import 'components/modal/update-modal.css';
 @import 'components/modal/settings-modal.css';
+@import 'components/modal/doctor-modal.css';
 @import 'components/modal/help-modal.css';
 @import 'components/modal/relink-civitai-modal.css';
 @import 'components/modal/example-access-modal.css';

static/js/api/recipeApi.js

@@ -1,6 +1,7 @@
 import { RecipeCard } from '../components/RecipeCard.js';
 import { state, getCurrentPageState } from '../state/index.js';
 import { showToast } from '../utils/uiHelpers.js';
+import { captureScrollPosition, restoreScrollPosition } from '../utils/infiniteScroll.js';
 
 const RECIPE_ENDPOINTS = {
     list: '/api/lm/recipes',
@@ -31,6 +32,20 @@ export function extractRecipeId(filePath) {
     return dotIndex > 0 ? basename.substring(0, dotIndex) : basename;
 }
 
+export async function fetchRecipeDetails(recipeId) {
+    if (!recipeId) {
+        throw new Error('Unable to determine recipe ID');
+    }
+
+    const encodedRecipeId = encodeURIComponent(recipeId);
+    const response = await fetch(`${RECIPE_ENDPOINTS.detail}/${encodedRecipeId}`);
+    if (!response.ok) {
+        throw new Error(`Failed to load recipe: ${response.statusText}`);
+    }
+
+    return response.json();
+}
+
 /**
  * Fetch recipes with pagination for virtual scrolling
  * @param {number} page - Page number to fetch
@@ -61,7 +76,9 @@ export async function fetchRecipesPage(page = 1, pageSize = 100) {
         // If we have a specific recipe ID to load
         if (pageState.customFilter?.active && pageState.customFilter?.recipeId) {
             // Special case: load specific recipe
-            const response = await fetch(`${RECIPE_ENDPOINTS.detail}/${pageState.customFilter.recipeId}`);
+            const response = await fetch(
+                `${RECIPE_ENDPOINTS.detail}/${encodeURIComponent(pageState.customFilter.recipeId)}`
+            );
 
             if (!response.ok) {
                 throw new Error(`Failed to load recipe: ${response.statusText}`);
@@ -166,10 +183,12 @@ export async function resetAndReloadWithVirtualScroll(options = {}) {
     const {
         modelType = 'lora',
         updateFolders = false,
-        fetchPageFunction
+        fetchPageFunction,
+        preserveScroll = false
     } = options;
 
     const pageState = getCurrentPageState();
+    const scrollSnapshot = preserveScroll ? captureScrollPosition() : null;
 
     try {
         pageState.isLoading = true;
@@ -191,6 +210,10 @@ export async function resetAndReloadWithVirtualScroll(options = {}) {
         pageState.hasMore = result.hasMore;
         pageState.currentPage = 2; // Next page will be 2
 
+        if (scrollSnapshot) {
+            await restoreScrollPosition(scrollSnapshot);
+        }
+
         return result;
     } catch (error) {
         console.error(`Error reloading ${modelType}s:`, error);
@@ -211,10 +234,12 @@ export async function loadMoreWithVirtualScroll(options = {}) {
         modelType = 'lora',
         resetPage = false,
         updateFolders = false,
-        fetchPageFunction
+        fetchPageFunction,
+        preserveScroll = false
     } = options;
 
     const pageState = getCurrentPageState();
+    const scrollSnapshot = preserveScroll ? captureScrollPosition() : null;
 
     try {
         // Start loading state
@@ -239,6 +264,10 @@ export async function loadMoreWithVirtualScroll(options = {}) {
         pageState.hasMore = result.hasMore;
         pageState.currentPage = 2; // Next page to load would be 2
 
+        if (scrollSnapshot) {
+            await restoreScrollPosition(scrollSnapshot);
+        }
+
         return result;
     } catch (error) {
         console.error(`Error loading ${modelType}s:`, error);
@@ -254,11 +283,12 @@ export async function loadMoreWithVirtualScroll(options = {}) {
  * @param {boolean} updateFolders - Whether to update folder tags
  * @returns {Promise<Object>} The fetch result
  */
-export async function resetAndReload(updateFolders = false) {
+export async function resetAndReload(updateFolders = false, options = {}) {
     return resetAndReloadWithVirtualScroll({
         modelType: 'recipe',
         updateFolders,
-        fetchPageFunction: fetchRecipesPage
+        fetchPageFunction: fetchRecipesPage,
+        preserveScroll: options.preserveScroll === true
     });
 }
 
@@ -270,7 +300,7 @@ export async function syncChanges() {
         state.loadingManager.showSimpleLoading('Syncing changes...');
 
         // Simply reload the recipes without rebuilding cache
-        await resetAndReload();
+        await resetAndReload(false, { preserveScroll: true });
 
         showToast('toast.recipes.syncComplete', {}, 'success');
     } catch (error) {
@@ -298,7 +328,7 @@ export async function refreshRecipes() {
         }
 
         // After successful cache rebuild, reload the recipes
-        await resetAndReload();
+        await resetAndReload(false, { preserveScroll: true });
 
         showToast('toast.recipes.refreshComplete', {}, 'success');
     } catch (error) {
@@ -349,9 +379,10 @@ export function createRecipeCard(recipe) {
  * @param {Object} updates - The metadata updates to apply
  * @returns {Promise<Object>} The updated recipe data
  */
-export async function updateRecipeMetadata(filePath, updates) {
+export async function updateRecipeMetadata(filePath, updates, options = {}) {
     try {
         state.loadingManager.showSimpleLoading('Saving metadata...');
+        const listFilePath = options.listFilePath || filePath;
 
         // Extract recipeId from filePath (basename without extension)
         const recipeId = extractRecipeId(filePath);
@@ -359,7 +390,7 @@ export async function updateRecipeMetadata(filePath, updates) {
             throw new Error('Unable to determine recipe ID');
         }
 
-        const response = await fetch(`${RECIPE_ENDPOINTS.update}/${recipeId}/update`, {
+        const response = await fetch(`${RECIPE_ENDPOINTS.update}/${encodeURIComponent(recipeId)}/update`, {
             method: 'PUT',
             headers: {
                 'Content-Type': 'application/json',
@@ -374,7 +405,7 @@ export async function updateRecipeMetadata(filePath, updates) {
             throw new Error(data.error || 'Failed to update recipe');
         }
 
-        state.virtualScroller.updateSingleItem(filePath, updates);
+        state.virtualScroller.updateSingleItem(listFilePath, updates);
 
         return data;
     } catch (error) {

static/js/components/ContextMenu/RecipeContextMenu.js

@@ -23,7 +23,7 @@ export class RecipeContextMenu extends BaseContextMenu {
     // Override resetAndReload for recipe context
     async resetAndReload() {
         const { resetAndReload } = await import('../../api/recipeApi.js');
-        return resetAndReload();
+        return resetAndReload(false, { preserveScroll: true });
     }
 
     showMenu(x, y, card) {

static/js/components/RecipeModal.js

@@ -3,16 +3,105 @@ import { showToast, copyToClipboard, sendLoraToWorkflow, sendModelPathToWorkflow
 import { translate } from '../utils/i18nHelpers.js';
 import { state } from '../state/index.js';
 import { setSessionItem, removeSessionItem } from '../utils/storageHelpers.js';
-import { updateRecipeMetadata } from '../api/recipeApi.js';
+import { fetchRecipeDetails, updateRecipeMetadata } from '../api/recipeApi.js';
 import { downloadManager } from '../managers/DownloadManager.js';
 import { MODEL_TYPES } from '../api/apiConfig.js';
 
+const ALLOWED_GEN_PARAM_KEYS = new Set([
+    'prompt',
+    'negative_prompt',
+    'steps',
+    'sampler',
+    'cfg_scale',
+    'seed',
+    'size',
+    'clip_skip',
+    'denoising_strength',
+]);
+
+const GEN_PARAM_NORMALIZATION = {
+    cfg: 'cfg_scale',
+    cfgScale: 'cfg_scale',
+    clipSkip: 'clip_skip',
+    negativePrompt: 'negative_prompt',
+    Sampler: 'sampler',
+    sampler_name: 'sampler',
+    scheduler: 'sampler',
+    Steps: 'steps',
+    Seed: 'seed',
+    Size: 'size',
+    Prompt: 'prompt',
+    'Negative prompt': 'negative_prompt',
+    'Cfg scale': 'cfg_scale',
+    'Clip skip': 'clip_skip',
+    'Denoising strength': 'denoising_strength',
+};
+
 class RecipeModal {
     constructor() {
         this.promptEditorState = {};
+        this.recipeHydrationRequestId = 0;
+        this.resetLocalEditState();
         this.init();
     }
 
+    createLocalEditState() {
+        return {
+            title: { commitVersion: 0, isDirty: false },
+            tags: { commitVersion: 0, isDirty: false },
+            prompt: { commitVersion: 0, isDirty: false },
+            negative_prompt: { commitVersion: 0, isDirty: false },
+            source_path: { commitVersion: 0, isDirty: false },
+        };
+    }
+
+    resetLocalEditState() {
+        this.localEditState = this.createLocalEditState();
+        this.sourceUrlEditState = this.localEditState.source_path;
+    }
+
+    getLocalEditState(field) {
+        if (!this.localEditState[field]) {
+            this.localEditState[field] = { commitVersion: 0, isDirty: false };
+        }
+        return this.localEditState[field];
+    }
+
+    markFieldDirty(field) {
+        this.getLocalEditState(field).isDirty = true;
+    }
+
+    clearFieldDirty(field) {
+        this.getLocalEditState(field).isDirty = false;
+    }
+
+    commitField(field) {
+        const fieldState = this.getLocalEditState(field);
+        fieldState.isDirty = false;
+        fieldState.commitVersion += 1;
+    }
+
+    captureLocalEditVersions() {
+        return Object.fromEntries(
+            Object.entries(this.localEditState).map(([field, state]) => [
+                field,
+                state.commitVersion,
+            ])
+        );
+    }
+
+    shouldPreserveField(field, requestVersions) {
+        const fieldState = this.getLocalEditState(field);
+        const requestVersion = requestVersions?.[field] ?? fieldState.commitVersion;
+        return fieldState.isDirty || fieldState.commitVersion !== requestVersion;
+    }
+
+    hasFieldCommittedSinceRequest(field, requestVersions) {
+        const fieldState = this.getLocalEditState(field);
+        const requestVersion = requestVersions?.[field] ?? fieldState.commitVersion;
+        return fieldState.commitVersion !== requestVersion;
+    }
+
     init() {
         this.setupCopyButtons();
         this.setupPromptEditors();
@@ -87,8 +176,10 @@ class RecipeModal {
     }
 
     showRecipeDetails(recipe) {
+        const hydratedRecipe = recipe || {};
+        this.resetLocalEditState();
         // Store the full recipe for editing
-        this.currentRecipe = recipe;
+        this.currentRecipe = hydratedRecipe;
         this.resetPromptEditors();
 
         // Set modal title with edit icon
@@ -96,11 +187,11 @@ class RecipeModal {
         if (modalTitle) {
             modalTitle.innerHTML = `
                 <div class="editable-content">
-                    <span class="content-text">${recipe.title || 'Recipe Details'}</span>
+                    <span class="content-text">${hydratedRecipe.title || 'Recipe Details'}</span>
                     <button class="edit-icon" title="Edit recipe name"><i class="fas fa-pencil-alt"></i></button>
                 </div>
                 <div id="recipeTitleEditor" class="content-editor">
-                    <input type="text" class="title-input" value="${recipe.title || ''}">
+                    <input type="text" class="title-input" value="${hydratedRecipe.title || ''}">
                 </div>
             `;
 
@@ -122,8 +213,9 @@ class RecipeModal {
         }
 
         // Store the recipe ID for copy syntax API call
-        this.recipeId = recipe.id;
-        this.filePath = recipe.file_path;
+        this.recipeId = hydratedRecipe.id;
+        this.filePath = hydratedRecipe.file_path;
+        this.listFilePath = hydratedRecipe.file_path;
 
         // Set recipe tags if they exist
         const tagsCompactElement = document.getElementById('recipeTagsCompact');
@@ -143,11 +235,11 @@ class RecipeModal {
 
             const tagsDisplay = tagsCompactElement.querySelector('.tags-display');
 
-            if (recipe.tags && recipe.tags.length > 0) {
+            if (hydratedRecipe.tags && hydratedRecipe.tags.length > 0) {
                 // Limit displayed tags to 5, show a "+X more" button if needed
                 const maxVisibleTags = 5;
-                const visibleTags = recipe.tags.slice(0, maxVisibleTags);
-                const remainingTags = recipe.tags.length > maxVisibleTags ? recipe.tags.slice(maxVisibleTags) : [];
+                const visibleTags = hydratedRecipe.tags.slice(0, maxVisibleTags);
+                const remainingTags = hydratedRecipe.tags.length > maxVisibleTags ? hydratedRecipe.tags.slice(maxVisibleTags) : [];
 
                 // Add visible tags
                 visibleTags.forEach(tag => {
@@ -184,7 +276,7 @@ class RecipeModal {
                     // Add all tags to tooltip
                     if (tagsTooltipContent) {
                         tagsTooltipContent.innerHTML = '';
-                        recipe.tags.forEach(tag => {
+                        hydratedRecipe.tags.forEach(tag => {
                             const tooltipTag = document.createElement('div');
                             tooltipTag.className = 'tooltip-tag';
                             tooltipTag.textContent = tag;
@@ -201,8 +293,8 @@ class RecipeModal {
             const tagsInput = tagsCompactElement.querySelector('.tags-input');
 
             // Set current tags in the input
-            if (recipe.tags && recipe.tags.length > 0) {
-                tagsInput.value = recipe.tags.join(', ');
+            if (hydratedRecipe.tags && hydratedRecipe.tags.length > 0) {
+                tagsInput.value = hydratedRecipe.tags.join(', ');
             }
 
             editTagsIcon.addEventListener('click', () => this.showTagsEditor());
@@ -222,49 +314,15 @@ class RecipeModal {
         // Set recipe image
         const mediaContainer = document.getElementById('recipePreviewContainer');
         if (mediaContainer) {
-            // Stop any playing video before replacing content
-            const existingVideo = mediaContainer.querySelector('video');
-            if (existingVideo) {
-                existingVideo.pause();
-                existingVideo.currentTime = 0;
-            }
-
-            // Clear the container
-            mediaContainer.innerHTML = '';
-
-            // Ensure file_url exists, fallback to file_path if needed
-            const imageUrl = recipe.file_url ||
-                (recipe.file_path ? `/loras_static/root1/preview/${recipe.file_path.split('/').pop()}` :
-                    '/loras_static/images/no-preview.png');
-
-            // Check if the file is a video (mp4)
-            const isVideo = imageUrl.toLowerCase().endsWith('.mp4');
-
-            if (isVideo) {
-                const videoElement = document.createElement('video');
-                videoElement.id = 'recipeModalVideo';
-                videoElement.src = imageUrl;
-                videoElement.controls = true;
-                videoElement.autoplay = false;
-                videoElement.loop = true;
-                videoElement.muted = true;
-                videoElement.className = 'recipe-preview-media';
-                videoElement.alt = recipe.title || 'Recipe Preview';
-                mediaContainer.appendChild(videoElement);
-            } else {
-                const imgElement = document.createElement('img');
-                imgElement.id = 'recipeModalImage';
-                imgElement.src = imageUrl;
-                imgElement.className = 'recipe-preview-media';
-                imgElement.alt = recipe.title || 'Recipe Preview';
-                mediaContainer.appendChild(imgElement);
-            }
+            this.syncPreviewMedia(hydratedRecipe);
+            mediaContainer.querySelector('.source-url-container')?.remove();
+            mediaContainer.querySelector('.source-url-editor')?.remove();
 
             // Add source URL container if the recipe has a source_path
             const sourceUrlContainer = document.createElement('div');
             sourceUrlContainer.className = 'source-url-container';
-            const hasSourceUrl = recipe.source_path && recipe.source_path.trim().length > 0;
-            const sourceUrl = hasSourceUrl ? recipe.source_path : '';
+            const hasSourceUrl = hydratedRecipe.source_path && hydratedRecipe.source_path.trim().length > 0;
+            const sourceUrl = hasSourceUrl ? hydratedRecipe.source_path : '';
             const isValidUrl = hasSourceUrl && (sourceUrl.startsWith('http://') || sourceUrl.startsWith('https://'));
 
             sourceUrlContainer.innerHTML = `
@@ -293,40 +351,273 @@ class RecipeModal {
             mediaContainer.appendChild(sourceUrlContainer);
             mediaContainer.appendChild(sourceUrlEditor);
 
-            // Set up event listeners for source URL functionality
+            // Delay binding slightly so modal layout is stable, but skip if this render was torn down.
+            const sourceUrlContainerRef = sourceUrlContainer;
+            const sourceUrlEditorRef = sourceUrlEditor;
             setTimeout(() => {
+                if (!document.body.contains(sourceUrlContainerRef) || !document.body.contains(sourceUrlEditorRef)) {
+                    return;
+                }
                 this.setupSourceUrlHandlers();
             }, 50);
         }
 
-        // Set generation parameters
+        this.syncGenerationParams(hydratedRecipe.gen_params);
+        this.syncResourcesSection(hydratedRecipe);
+
+        // Show the modal
+        modalManager.showModal('recipeModal');
+
+        if (this.recipeId) {
+            const hydrationRequestId = ++this.recipeHydrationRequestId;
+            const requestEditVersions = this.captureLocalEditVersions();
+            this.hydrateRecipeDetails(
+                this.recipeId,
+                hydrationRequestId,
+                requestEditVersions
+            );
+        }
+    }
+
+    async hydrateRecipeDetails(recipeId, requestId, requestEditVersions = {}) {
+        try {
+            const fullRecipe = await fetchRecipeDetails(recipeId);
+            if (requestId !== this.recipeHydrationRequestId || !fullRecipe) {
+                return;
+            }
+
+            const nextRecipe = { ...this.currentRecipe };
+
+            if (!this.hasFieldCommittedSinceRequest('title', requestEditVersions) && fullRecipe.title !== undefined) {
+                nextRecipe.title = fullRecipe.title;
+            }
+
+            if (!this.hasFieldCommittedSinceRequest('tags', requestEditVersions) && fullRecipe.tags !== undefined) {
+                nextRecipe.tags = Array.isArray(fullRecipe.tags) ? [...fullRecipe.tags] : fullRecipe.tags;
+            }
+
+            if (!this.hasFieldCommittedSinceRequest('source_path', requestEditVersions)) {
+                nextRecipe.source_path = fullRecipe.source_path || '';
+            }
+
+            const previousFilePath = nextRecipe.file_path;
+            if (fullRecipe.file_path !== undefined) {
+                nextRecipe.file_path = fullRecipe.file_path;
+            }
+            if (fullRecipe.file_url !== undefined) {
+                nextRecipe.file_url = fullRecipe.file_url;
+            }
+            if (fullRecipe.preview_url !== undefined) {
+                nextRecipe.preview_url = fullRecipe.preview_url;
+            }
+            if (
+                fullRecipe.file_path !== undefined &&
+                fullRecipe.file_path !== previousFilePath &&
+                fullRecipe.file_url === undefined &&
+                fullRecipe.preview_url === undefined
+            ) {
+                delete nextRecipe.file_url;
+                delete nextRecipe.preview_url;
+            }
+
+            if (fullRecipe.gen_params !== undefined) {
+                const previousGenParams = nextRecipe.gen_params || {};
+                const incomingGenParams = { ...(fullRecipe.gen_params || {}) };
+                for (const [key, value] of Object.entries(previousGenParams)) {
+                    if (this.hasFieldCommittedSinceRequest(key, requestEditVersions)) {
+                        incomingGenParams[key] = value;
+                    }
+                }
+                nextRecipe.gen_params = incomingGenParams;
+            } else {
+                const previousGenParams = nextRecipe.gen_params || {};
+                const preservedGenParams = {};
+                for (const [key, value] of Object.entries(previousGenParams)) {
+                    if (this.hasFieldCommittedSinceRequest(key, requestEditVersions)) {
+                        preservedGenParams[key] = value;
+                    }
+                }
+                nextRecipe.gen_params = preservedGenParams;
+            }
+
+            if (fullRecipe.checkpoint !== undefined) {
+                nextRecipe.checkpoint = fullRecipe.checkpoint;
+            } else {
+                delete nextRecipe.checkpoint;
+            }
+            if (fullRecipe.loras !== undefined) {
+                nextRecipe.loras = Array.isArray(fullRecipe.loras) ? [...fullRecipe.loras] : fullRecipe.loras;
+            } else {
+                delete nextRecipe.loras;
+            }
+
+            this.currentRecipe = nextRecipe;
+            this.filePath = this.currentRecipe.file_path || this.filePath;
+
+            this.syncHydratedRecipeFields(requestEditVersions);
+        } catch (error) {
+            // Keep the cached recipe visible if hydration fails.
+            console.warn('Failed to hydrate recipe details:', error);
+        }
+    }
+
+    syncHydratedRecipeFields(requestEditVersions = {}) {
+        this.syncPreviewMedia(this.currentRecipe);
+
+        if (!this.shouldPreserveField('title', requestEditVersions)) {
+            this.syncTitleDisplay(this.currentRecipe?.title || '');
+        }
+
+        if (!this.shouldPreserveField('tags', requestEditVersions)) {
+            this.syncTagsDisplay(this.currentRecipe?.tags || []);
+        }
+
+        if (!this.shouldPreserveField('prompt', requestEditVersions)) {
+            this.syncPromptField(
+                'prompt',
+                this.currentRecipe?.gen_params?.prompt || '',
+                'No prompt information available'
+            );
+        }
+
+        if (!this.shouldPreserveField('negative_prompt', requestEditVersions)) {
+            this.syncPromptField(
+                'negative_prompt',
+                this.currentRecipe?.gen_params?.negative_prompt || '',
+                'No negative prompt information available'
+            );
+        }
+
+        this.syncGenerationParams(this.currentRecipe?.gen_params, { promptFieldsOnly: true });
+        this.syncResourcesSection(this.currentRecipe);
+
+        if (!this.shouldPreserveField('source_path', requestEditVersions)) {
+            this.updateSourceUrlDisplay(this.currentRecipe.source_path || '', { forceInputSync: true });
+        } else {
+            this.updateSourceUrlDisplay(this.currentRecipe.source_path || '');
+        }
+    }
+
+    getPreviewMediaUrl(recipe = {}) {
+        return recipe.file_url ||
+            recipe.preview_url ||
+            (recipe.file_path ? `/loras_static/root1/preview/${recipe.file_path.split('/').pop()}` :
+                '/loras_static/images/no-preview.png');
+    }
+
+    syncPreviewMedia(recipe = {}) {
+        const mediaContainer = document.getElementById('recipePreviewContainer');
+        if (!mediaContainer) {
+            return;
+        }
+
+        const previewUrl = this.getPreviewMediaUrl(recipe);
+        const isVideo = previewUrl.toLowerCase().endsWith('.mp4');
+        const expectedElementId = isVideo ? 'recipeModalVideo' : 'recipeModalImage';
+        let previewElement = mediaContainer.querySelector(`#${expectedElementId}`);
+        const existingPreviewElement = mediaContainer.querySelector('.recipe-preview-media');
+
+        if (!previewElement || (existingPreviewElement && existingPreviewElement !== previewElement)) {
+            if (existingPreviewElement?.tagName === 'VIDEO') {
+                const existingVideo = existingPreviewElement;
+                existingVideo.pause();
+                existingVideo.currentTime = 0;
+            }
+
+            existingPreviewElement?.remove();
+            previewElement = document.createElement(isVideo ? 'video' : 'img');
+            previewElement.id = expectedElementId;
+            previewElement.className = 'recipe-preview-media';
+            mediaContainer.prepend(previewElement);
+        }
+
+        previewElement.src = previewUrl;
+        previewElement.alt = recipe.title || 'Recipe Preview';
+
+        if (isVideo) {
+            previewElement.controls = true;
+            previewElement.autoplay = false;
+            previewElement.loop = true;
+            previewElement.muted = true;
+        }
+    }
+
+    getMetadataUpdateOptions() {
+        return this.listFilePath ? { listFilePath: this.listFilePath } : {};
+    }
+
+    syncTitleDisplay(title) {
+        const titleContainer = document.getElementById('recipeModalTitle');
+        if (!titleContainer) {
+            return;
+        }
+
+        const contentText = titleContainer.querySelector('.content-text');
+        if (contentText) {
+            contentText.textContent = title || 'Recipe Details';
+        }
+
+        const titleInput = titleContainer.querySelector('.title-input');
+        if (titleInput) {
+            titleInput.value = title || '';
+        }
+    }
+
+    syncTagsDisplay(tags) {
+        const tagsContainer = document.getElementById('recipeTagsCompact');
+        if (!tagsContainer) {
+            return;
+        }
+
+        this.updateTagsDisplay(tagsContainer, tags || []);
+
+        const tagsInput = tagsContainer.querySelector('.tags-input');
+        if (tagsInput) {
+            tagsInput.value = tags && tags.length > 0 ? tags.join(', ') : '';
+        }
+    }
+
+    syncPromptField(field, value, placeholder) {
+        const contentId = field === 'prompt' ? 'recipePrompt' : 'recipeNegativePrompt';
+        const editorId = field === 'prompt' ? 'recipePromptEditor' : 'recipeNegativePromptEditor';
+        const inputId = field === 'prompt' ? 'recipePromptInput' : 'recipeNegativePromptInput';
+
+        this.renderPromptContent(document.getElementById(contentId), value, placeholder);
+
+        const input = document.getElementById(inputId);
+        if (input) {
+            input.value = value || '';
+        }
+    }
+
+    syncGenerationParams(genParams, options = {}) {
         const promptElement = document.getElementById('recipePrompt');
         const negativePromptElement = document.getElementById('recipeNegativePrompt');
         const otherParamsElement = document.getElementById('recipeOtherParams');
         const promptInput = document.getElementById('recipePromptInput');
         const negativePromptInput = document.getElementById('recipeNegativePromptInput');
+        const promptFieldsOnly = options.promptFieldsOnly === true;
+        const sanitizedGenParams = this.sanitizeGenParams(genParams);
 
-        if (recipe.gen_params) {
-            this.renderPromptContent(promptElement, recipe.gen_params.prompt, 'No prompt information available');
-            this.renderPromptContent(negativePromptElement, recipe.gen_params.negative_prompt, 'No negative prompt information available');
+        if (sanitizedGenParams) {
+            if (!promptFieldsOnly) {
+                this.renderPromptContent(promptElement, sanitizedGenParams.prompt, 'No prompt information available');
+                this.renderPromptContent(negativePromptElement, sanitizedGenParams.negative_prompt, 'No negative prompt information available');
 
-            if (promptInput) {
-                promptInput.value = recipe.gen_params.prompt || '';
+                if (promptInput) {
+                    promptInput.value = sanitizedGenParams.prompt || '';
+                }
+
+                if (negativePromptInput) {
+                    negativePromptInput.value = sanitizedGenParams.negative_prompt || '';
+                }
             }
 
-            if (negativePromptInput) {
-                negativePromptInput.value = recipe.gen_params.negative_prompt || '';
-            }
-
-            // Set other parameters
             if (otherParamsElement) {
-                // Clear previous params
                 otherParamsElement.innerHTML = '';
-
-                // Add all other parameters except prompt and negative_prompt
                 const excludedParams = ['prompt', 'negative_prompt'];
 
-                for (const [key, value] of Object.entries(recipe.gen_params)) {
+                for (const [key, value] of Object.entries(sanitizedGenParams)) {
                     if (!excludedParams.includes(key) && value !== undefined && value !== null) {
                         const paramTag = document.createElement('div');
                         paramTag.className = 'param-tag';
@@ -338,22 +629,68 @@ class RecipeModal {
                     }
                 }
 
-                // If no other params, show a message
                 if (otherParamsElement.children.length === 0) {
                     otherParamsElement.innerHTML = '<div class="no-params">No additional parameters available</div>';
                 }
             }
-        } else {
-            // No generation parameters available
+            return;
+        }
+
+        if (!promptFieldsOnly) {
             this.renderPromptContent(promptElement, '', 'No prompt information available');
             this.renderPromptContent(negativePromptElement, '', 'No negative prompt information available');
             if (promptInput) promptInput.value = '';
             if (negativePromptInput) negativePromptInput.value = '';
-            if (otherParamsElement) otherParamsElement.innerHTML = '<div class="no-params">No parameters available</div>';
         }
 
+        if (otherParamsElement) {
+            otherParamsElement.innerHTML = '<div class="no-params">No parameters available</div>';
+        }
+    }
+
+    sanitizeGenParams(genParams) {
+        if (!genParams || typeof genParams !== 'object') {
+            return null;
+        }
+
+        const sanitized = {};
+
+        for (const [key, value] of Object.entries(genParams)) {
+            if (value === undefined || value === null || value === '') {
+                continue;
+            }
+
+            if (!ALLOWED_GEN_PARAM_KEYS.has(key)) {
+                continue;
+            }
+
+            sanitized[key] = value;
+        }
+
+        for (const [key, value] of Object.entries(genParams)) {
+            if (value === undefined || value === null || value === '') {
+                continue;
+            }
+
+            const normalizedKey = GEN_PARAM_NORMALIZATION[key] || key;
+            if (!ALLOWED_GEN_PARAM_KEYS.has(normalizedKey)) {
+                continue;
+            }
+
+            if (sanitized[normalizedKey] === undefined || sanitized[normalizedKey] === null || sanitized[normalizedKey] === '') {
+                sanitized[normalizedKey] = value;
+            }
+        }
+
+        return sanitized;
+    }
+
+    syncResourcesSection(recipe = {}) {
         const checkpointContainer = document.getElementById('recipeCheckpoint');
         const resourceDivider = document.getElementById('recipeResourceDivider');
+        const lorasListElement = document.getElementById('recipeLorasList');
+        const lorasCountElement = document.getElementById('recipeLorasCount');
+        const loras = Array.isArray(recipe.loras) ? recipe.loras : [];
 
         if (checkpointContainer) {
             checkpointContainer.innerHTML = '';
@@ -364,59 +701,43 @@ class RecipeModal {
             }
         }
 
-        // Set LoRAs list and count
-        const lorasListElement = document.getElementById('recipeLorasList');
-        const lorasCountElement = document.getElementById('recipeLorasCount');
-
-        // Check all LoRAs status
         let allLorasAvailable = true;
         let missingLorasCount = 0;
         let deletedLorasCount = 0;
 
-        if (recipe.loras && recipe.loras.length > 0) {
-            recipe.loras.forEach(lora => {
-                if (lora.isDeleted) {
-                    deletedLorasCount++;
-                } else if (!lora.inLibrary) {
-                    allLorasAvailable = false;
-                    missingLorasCount++;
-                }
-            });
-        }
+        loras.forEach(lora => {
+            if (lora.isDeleted) {
+                deletedLorasCount++;
+            } else if (!lora.inLibrary) {
+                allLorasAvailable = false;
+                missingLorasCount++;
+            }
+        });
 
-        // Set LoRAs count and status
-        if (lorasCountElement && recipe.loras) {
-            const totalCount = recipe.loras.length;
-
-            // Create status indicator based on LoRA states
+        if (lorasCountElement) {
+            const totalCount = loras.length;
             let statusHTML = '';
             if (totalCount > 0) {
                 if (allLorasAvailable && deletedLorasCount === 0) {
-                    // All LoRAs are available
                     statusHTML = `<div class="recipe-status ready"><i class="fas fa-check-circle"></i> Ready to use</div>`;
                 } else if (missingLorasCount > 0) {
-                    // Some LoRAs are missing (prioritize showing missing over deleted)
                     statusHTML = `<div class="recipe-status missing">
                         <i class="fas fa-exclamation-triangle"></i> ${missingLorasCount} missing
                         <div class="missing-tooltip">Click to download missing LoRAs</div>
                     </div>`;
                 } else if (deletedLorasCount > 0 && missingLorasCount === 0) {
-                    // Some LoRAs are deleted but none are missing
                     statusHTML = `<div class="recipe-status partial"><i class="fas fa-info-circle"></i> ${deletedLorasCount} deleted</div>`;
                 }
             }
 
             lorasCountElement.innerHTML = `<i class="fas fa-layer-group"></i> ${totalCount} LoRAs ${statusHTML}`;
 
-            // Add event listeners for buttons and status indicators
             setTimeout(() => {
-                // Set up click handler for View LoRAs button
                 const viewRecipeLorasBtn = document.getElementById('viewRecipeLorasBtn');
                 if (viewRecipeLorasBtn) {
                     viewRecipeLorasBtn.addEventListener('click', () => this.navigateToLorasPage());
                 }
 
-                // Add click handler for missing LoRAs status
                 const missingStatus = document.querySelector('.recipe-status.missing');
                 if (missingStatus && missingLorasCount > 0) {
                     missingStatus.classList.add('clickable');
@@ -425,13 +746,12 @@ class RecipeModal {
             }, 100);
         }
 
-        if (lorasListElement && recipe.loras && recipe.loras.length > 0) {
-            lorasListElement.innerHTML = recipe.loras.map(lora => {
+        if (lorasListElement && loras.length > 0) {
+            lorasListElement.innerHTML = loras.map(lora => {
                 const existsLocally = lora.inLibrary;
                 const isDeleted = lora.isDeleted;
                 const localPath = lora.localPath || '';
 
-                // Create status badge based on LoRA state
                 let localStatus;
                 if (existsLocally) {
                     localStatus = `
@@ -441,7 +761,7 @@ class RecipeModal {
                         </div>`;
                 } else if (isDeleted) {
                     localStatus = `
-                        <div class="deleted-badge reconnectable" data-lora-index="${recipe.loras.indexOf(lora)}">
+                        <div class="deleted-badge reconnectable" data-lora-index="${loras.indexOf(lora)}">
                             <span class="badge-text"><i class="fas fa-trash-alt"></i> Deleted</span>
                             <div class="reconnect-tooltip">Click to reconnect with a local LoRA</div>
                         </div>`;
@@ -452,7 +772,6 @@ class RecipeModal {
                         </div>`;
                 }
 
-                // Check if preview is a video
                 const isPreviewVideo = lora.preview_url && lora.preview_url.toLowerCase().endsWith('.mp4');
                 const previewMedia = isPreviewVideo ?
                     `<video class="thumbnail-video" autoplay loop muted playsinline>
@@ -460,7 +779,6 @@ class RecipeModal {
                      </video>` :
                     `<img src="${lora.preview_url || '/loras_static/images/no-preview.png'}" alt="LoRA preview">`;
 
-                // Determine CSS class based on LoRA state
                 let loraItemClass = 'recipe-lora-item';
                 if (existsLocally) {
                     loraItemClass += ' exists-locally';
@@ -471,7 +789,7 @@ class RecipeModal {
                 }
 
                 return `
-                    <div class="${loraItemClass}" data-lora-index="${recipe.loras.indexOf(lora)}">
+                    <div class="${loraItemClass}" data-lora-index="${loras.indexOf(lora)}">
                         <div class="recipe-lora-thumbnail">
                             ${previewMedia}
                         </div>
@@ -485,7 +803,7 @@ class RecipeModal {
                                 <div class="recipe-lora-weight">Weight: ${lora.strength || 1.0}</div>
                                 ${lora.baseModel ? `<div class="base-model">${lora.baseModel}</div>` : ''}
                             </div>
-                            <div class="lora-reconnect-container" data-lora-index="${recipe.loras.indexOf(lora)}">
+                            <div class="lora-reconnect-container" data-lora-index="${loras.indexOf(lora)}">
                                 <div class="reconnect-instructions">
                                     <p>Enter LoRA Syntax or Name to Reconnect:</p>
                                     <small>Example: <code>&lt;lora:Boris_Vallejo_BV_flux_D:1&gt;</code> or just <code>Boris_Vallejo_BV_flux_D</code></small>
@@ -503,15 +821,12 @@ class RecipeModal {
                 `;
             }).join('');
 
-            // Add event listeners for reconnect functionality
             setTimeout(() => {
                 this.setupReconnectButtons();
                 this.setupLoraItemsClickable();
             }, 100);
 
-            // Generate recipe syntax for copy button (this is now a placeholder, actual syntax will be fetched from the API)
             this.recipeLorasSyntax = '';
-
         } else if (lorasListElement) {
             lorasListElement.innerHTML = '<div class="no-loras">No LoRAs associated with this recipe</div>';
             this.recipeLorasSyntax = '';
@@ -522,9 +837,31 @@ class RecipeModal {
             const hasLoraItems = lorasListElement && lorasListElement.querySelector('.recipe-lora-item');
             resourceDivider.style.display = hasCheckpoint && hasLoraItems ? 'block' : 'none';
         }
+    }
 
-        // Show the modal
-        modalManager.showModal('recipeModal');
+    updateSourceUrlDisplay(sourcePath, options = {}) {
+        const sourceUrlContainer = document.querySelector('.source-url-container');
+        const sourceUrlEditor = document.querySelector('.source-url-editor');
+        if (!sourceUrlContainer || !sourceUrlEditor) {
+            return;
+        }
+
+        const sourceUrlText = sourceUrlContainer.querySelector('.source-url-text');
+        const sourceUrlInput = sourceUrlEditor.querySelector('.source-url-input');
+        if (!sourceUrlText || !sourceUrlInput) {
+            return;
+        }
+
+        const normalizedSourcePath = typeof sourcePath === 'string' ? sourcePath.trim() : '';
+        const isValidUrl = normalizedSourcePath.startsWith('http://') || normalizedSourcePath.startsWith('https://');
+
+        sourceUrlText.textContent = normalizedSourcePath || 'No source URL';
+        sourceUrlText.title = normalizedSourcePath
+            ? (isValidUrl ? 'Click to open source URL' : 'No valid URL')
+            : 'No valid URL';
+        if (options.forceInputSync || !sourceUrlEditor.classList.contains('active') || !this.sourceUrlEditState.isDirty) {
+            sourceUrlInput.value = normalizedSourcePath;
+        }
     }
 
     // Title editing methods
@@ -535,6 +872,7 @@ class RecipeModal {
             const editor = titleContainer.querySelector('#recipeTitleEditor');
             editor.classList.add('active');
             const input = editor.querySelector('input');
+            input.oninput = () => this.markFieldDirty('title');
             input.focus();
             input.select();
         }
@@ -553,19 +891,23 @@ class RecipeModal {
                 titleContainer.querySelector('.content-text').textContent = newTitle;
 
                 // Update the recipe on the server
-                updateRecipeMetadata(this.filePath, { title: newTitle })
+                updateRecipeMetadata(this.filePath, { title: newTitle }, this.getMetadataUpdateOptions())
                     .then(data => {
                         // Show success toast
                         showToast('toast.recipes.nameUpdated', {}, 'success');
 
                         // Update the current recipe object
                         this.currentRecipe.title = newTitle;
+                        this.commitField('title');
                     })
                     .catch(error => {
                         // Error is handled in the API function
                         // Reset the UI if needed
                         titleContainer.querySelector('.content-text').textContent = this.currentRecipe.title || '';
+                        this.clearFieldDirty('title');
                     });
+            } else {
+                this.clearFieldDirty('title');
             }
 
             // Hide editor
@@ -581,6 +923,7 @@ class RecipeModal {
             const editor = titleContainer.querySelector('#recipeTitleEditor');
             const input = editor.querySelector('input');
             input.value = this.currentRecipe.title || '';
+            this.clearFieldDirty('title');
 
             // Hide editor
             editor.classList.remove('active');
@@ -596,6 +939,7 @@ class RecipeModal {
             const editor = tagsContainer.querySelector('#recipeTagsEditor');
             editor.classList.add('active');
             const input = editor.querySelector('input');
+            input.oninput = () => this.markFieldDirty('tags');
             input.focus();
         }
     }
@@ -623,20 +967,24 @@ class RecipeModal {
 
             if (tagsChanged) {
                 // Update the recipe on the server
-                updateRecipeMetadata(this.filePath, { tags: newTags })
+                updateRecipeMetadata(this.filePath, { tags: newTags }, this.getMetadataUpdateOptions())
                     .then(data => {
                         // Show success toast
                         showToast('toast.recipes.tagsUpdated', {}, 'success');
 
                         // Update the current recipe object
                         this.currentRecipe.tags = newTags;
+                        this.commitField('tags');
 
                         // Update tags in the UI
                         this.updateTagsDisplay(tagsContainer, newTags);
                     })
                     .catch(error => {
                         // Error is handled in the API function
+                        this.clearFieldDirty('tags');
                     });
+            } else {
+                this.clearFieldDirty('tags');
             }
 
             // Hide editor
@@ -708,6 +1056,7 @@ class RecipeModal {
             const editor = tagsContainer.querySelector('#recipeTagsEditor');
             const input = editor.querySelector('input');
             input.value = this.currentRecipe.tags ? this.currentRecipe.tags.join(', ') : '';
+            this.clearFieldDirty('tags');
 
             // Hide editor
             editor.classList.remove('active');
@@ -748,6 +1097,7 @@ class RecipeModal {
             }
 
             if (input) {
+                input.addEventListener('input', () => this.markFieldDirty(config.field));
                 input.addEventListener('keydown', (event) => {
                     if (event.key === 'Escape') {
                         event.preventDefault();
@@ -840,9 +1190,10 @@ class RecipeModal {
 
         const currentGenParams = this.currentRecipe.gen_params || {};
         const nextValue = input.value.trim() === '' ? '' : input.value;
-        const currentValue = currentGenParams[config.field] || '';
+        const currentValue = this.sanitizeGenParams(currentGenParams)?.[config.field] || '';
 
         if (nextValue === currentValue) {
+            this.clearFieldDirty(config.field);
             this.hidePromptEditor(config);
             return;
         }
@@ -857,14 +1208,17 @@ class RecipeModal {
                 ...promptState,
                 isSaving: true,
             };
-            await updateRecipeMetadata(this.filePath, { gen_params: nextGenParams });
+            await updateRecipeMetadata(this.filePath, { gen_params: nextGenParams }, this.getMetadataUpdateOptions());
             this.currentRecipe.gen_params = nextGenParams;
             this.renderPromptContent(content, nextValue, config.placeholder);
             showToast(config.successKey, {}, 'success', config.successFallback);
+            this.commitField(config.field);
         } catch (error) {
             this.renderPromptContent(content, currentValue, config.placeholder);
             input.value = currentValue;
+            this.clearFieldDirty(config.field);
         } finally {
+            this.clearFieldDirty(config.field);
             this.hidePromptEditor(config);
         }
     }
@@ -872,10 +1226,10 @@ class RecipeModal {
     cancelPromptEdit(config) {
         const input = document.getElementById(config.inputId);
         if (input) {
-            const initialValue = this.promptEditorState[config.field]?.initialValue;
-            input.value = initialValue ?? (this.currentRecipe?.gen_params?.[config.field] || '');
+            input.value = this.currentRecipe?.gen_params?.[config.field] || '';
         }
 
+        this.clearFieldDirty(config.field);
         this.hidePromptEditor(config);
     }
 
@@ -918,11 +1272,16 @@ class RecipeModal {
             sourceUrlInput.focus();
         });
 
+        sourceUrlInput.addEventListener('input', () => {
+            this.sourceUrlEditState.isDirty = true;
+        });
+
         // Cancel editing
         sourceUrlCancelBtn.addEventListener('click', () => {
             sourceUrlEditor.classList.remove('active');
             sourceUrlContainer.classList.remove('hide');
-            sourceUrlInput.value = this.currentRecipe.source_path || '';
+            this.updateSourceUrlDisplay(this.currentRecipe.source_path || '', { forceInputSync: true });
+            this.clearFieldDirty('source_path');
         });
 
         // Save new source URL
@@ -930,23 +1289,24 @@ class RecipeModal {
             const newSourceUrl = sourceUrlInput.value.trim();
             if (newSourceUrl !== this.currentRecipe.source_path) {
                 // Update the recipe on the server
-                updateRecipeMetadata(this.filePath, { source_path: newSourceUrl })
+                updateRecipeMetadata(this.filePath, { source_path: newSourceUrl }, this.getMetadataUpdateOptions())
                     .then(data => {
                         // Show success toast
                         showToast('toast.recipes.sourceUrlUpdated', {}, 'success');
 
                         // Update source URL in the UI
-                        sourceUrlText.textContent = newSourceUrl || 'No source URL';
-                        sourceUrlText.title = newSourceUrl && (newSourceUrl.startsWith('http://') ||
-                            newSourceUrl.startsWith('https://')) ?
-                            'Click to open source URL' : 'No valid URL';
+                        this.commitField('source_path');
+                        this.updateSourceUrlDisplay(newSourceUrl, { forceInputSync: true });
 
                         // Update the current recipe object
                         this.currentRecipe.source_path = newSourceUrl;
                     })
                     .catch(error => {
                         // Error is handled in the API function
+                        this.clearFieldDirty('source_path');
                     });
+            } else {
+                this.clearFieldDirty('source_path');
             }
 
             // Hide editor
@@ -1286,7 +1646,7 @@ class RecipeModal {
                     this.showRecipeDetails(this.currentRecipe);
                 }, 500);
 
-                state.virtualScroller.updateSingleItem(this.currentRecipe.file_path, {
+                state.virtualScroller.updateSingleItem(this.listFilePath || this.currentRecipe.file_path, {
                     loras: this.currentRecipe.loras
                 });
             } else {

static/js/components/shared/ModelVersionsTab.js

@@ -220,8 +220,31 @@ function buildMetaMarkup(version, options = {}) {
         .join('<span class="version-meta-separator">•</span>');
 }
 
-function buildBadge(label, tone) {
-    return `<span class="version-badge version-badge-${tone}">${escapeHtml(label)}</span>`;
+function buildBadge(label, tone, options = {}) {
+    const attributes = [];
+    if (options.title) {
+        attributes.push(`title="${escapeHtml(options.title)}"`);
+    }
+    if (options.ariaLabel) {
+        attributes.push(`aria-label="${escapeHtml(options.ariaLabel)}"`);
+    }
+    const suffix = attributes.length ? ` ${attributes.join(' ')}` : '';
+    return `<span class="version-badge version-badge-${tone}"${suffix}>${escapeHtml(label)}</span>`;
+}
+
+function buildActionButton(label, variant, action, options = {}) {
+    const attributes = [
+        `class="version-action ${variant}"`,
+        `data-version-action="${escapeHtml(action)}"`,
+    ];
+    if (options.title) {
+        attributes.push(`title="${escapeHtml(options.title)}"`);
+        attributes.push(`aria-label="${escapeHtml(options.title)}"`);
+    }
+    if (options.extraAttributes) {
+        attributes.push(options.extraAttributes);
+    }
+    return `<button ${attributes.join(' ')}>${options.iconMarkup || ''}${escapeHtml(label)}</button>`;
 }
 
 const DISPLAY_FILTER_MODES = Object.freeze({
@@ -426,23 +449,72 @@ function renderRow(version, options) {
         version.versionId > latestLibraryVersionId;
     const isEarlyAccess = isEarlyAccessActive(version);
     const badges = [];
+    const openedBadgeLabel = translate('modals.model.versions.badges.current', {}, 'Opened Version');
+    const inLibraryBadgeLabel = translate('modals.model.versions.badges.inLibrary', {}, 'In Library');
+    const downloadedBadgeLabel = translate('modals.model.versions.badges.downloaded', {}, 'Downloaded');
+    const newerBadgeLabel = translate('modals.model.versions.badges.newer', {}, 'Newer Version');
+    const earlyAccessBadgeLabel = translate('modals.model.versions.badges.earlyAccess', {}, 'Early Access');
+    const ignoredBadgeLabel = translate('modals.model.versions.badges.ignored', {}, 'Ignored');
+    const versionName = version.name || translate('modals.model.versions.labels.unnamed', {}, 'Untitled Version');
 
     if (isCurrent) {
-        badges.push(buildBadge(translate('modals.model.versions.badges.current', {}, 'Current Version'), 'current'));
+        badges.push(buildBadge(openedBadgeLabel, 'current', {
+            title: translate(
+                'modals.model.versions.badges.currentTooltip',
+                {},
+                'This is the version you opened this modal from'
+            ),
+        }));
     }
 
     if (version.isInLibrary) {
-        badges.push(buildBadge(translate('modals.model.versions.badges.inLibrary', {}, 'In Library'), 'success'));
-    } else if (isNewer && !version.shouldIgnore) {
-        badges.push(buildBadge(translate('modals.model.versions.badges.newer', {}, 'Newer Version'), 'info'));
+        badges.push(buildBadge(inLibraryBadgeLabel, 'success', {
+            title: translate(
+                'modals.model.versions.badges.inLibraryTooltip',
+                {},
+                'This version exists in your local library'
+            ),
+        }));
+    }
+
+    if (!version.isInLibrary && version.hasBeenDownloaded) {
+        badges.push(buildBadge(downloadedBadgeLabel, 'info', {
+            title: translate(
+                'modals.model.versions.badges.downloadedTooltip',
+                {},
+                'This version was downloaded before, but is not currently in your library'
+            ),
+        }));
+    }
+
+    if (!version.isInLibrary && isNewer && !version.shouldIgnore) {
+        badges.push(buildBadge(newerBadgeLabel, 'info', {
+            title: translate(
+                'modals.model.versions.badges.newerTooltip',
+                {},
+                'This version is newer than your latest local version'
+            ),
+        }));
     }
 
     if (isEarlyAccess) {
-        badges.push(buildBadge(translate('modals.model.versions.badges.earlyAccess', {}, 'Early Access'), 'early-access'));
+        badges.push(buildBadge(earlyAccessBadgeLabel, 'early-access', {
+            title: translate(
+                'modals.model.versions.badges.earlyAccessTooltip',
+                {},
+                'This version currently requires Civitai early access'
+            ),
+        }));
     }
 
     if (version.shouldIgnore) {
-        badges.push(buildBadge(translate('modals.model.versions.badges.ignored', {}, 'Ignored'), 'muted'));
+        badges.push(buildBadge(ignoredBadgeLabel, 'muted', {
+            title: translate(
+                'modals.model.versions.badges.ignoredTooltip',
+                {},
+                'Update notifications are disabled for this version'
+            ),
+        }));
     }
 
     const downloadLabel = translate('modals.model.versions.actions.download', {}, 'Download');
@@ -459,29 +531,82 @@ function renderRow(version, options) {
     if (!version.isInLibrary) {
         // Download button with optional EA bolt icon
         const downloadIcon = isEarlyAccess ? '<i class="fas fa-bolt"></i> ' : '';
-        actions.push(
-            `<button class="version-action version-action-primary" data-version-action="download">${downloadIcon}${escapeHtml(downloadLabel)}</button>`
-        );
+        actions.push(buildActionButton(
+            downloadLabel,
+            'version-action-primary',
+            'download',
+            {
+                title: isEarlyAccess
+                    ? translate(
+                        'modals.model.versions.actions.downloadEarlyAccessTooltip',
+                        {},
+                        'Download this early access version from Civitai'
+                    )
+                    : translate(
+                        'modals.model.versions.actions.downloadTooltip',
+                        {},
+                        'Download this version'
+                    ),
+                iconMarkup: downloadIcon,
+            }
+        ));
     } else if (version.filePath) {
-        actions.push(
-            `<button class="version-action version-action-danger" data-version-action="delete">${escapeHtml(deleteLabel)}</button>`
-        );
+        actions.push(buildActionButton(
+            deleteLabel,
+            'version-action-danger',
+            'delete',
+            {
+                title: translate(
+                    'modals.model.versions.actions.deleteTooltip',
+                    {},
+                    'Delete this local version'
+                ),
+            }
+        ));
     }
-    actions.push(
-        `<button class="version-action version-action-ghost" data-version-action="toggle-ignore" data-ignore-state="${
-            version.shouldIgnore ? 'ignored' : 'active'
-        }">${escapeHtml(ignoreLabel)}</button>`
-    );
+    actions.push(buildActionButton(
+        ignoreLabel,
+        'version-action-ghost',
+        'toggle-ignore',
+        {
+            title: version.shouldIgnore
+                ? translate(
+                    'modals.model.versions.actions.unignoreTooltip',
+                    {},
+                    'Resume update notifications for this version'
+                )
+                : translate(
+                    'modals.model.versions.actions.ignoreTooltip',
+                    {},
+                    'Ignore update notifications for this version'
+                ),
+            extraAttributes: `data-ignore-state="${version.shouldIgnore ? 'ignored' : 'active'}"`,
+        }
+    ));
 
     const linkTarget = buildCivitaiVersionUrl(
         version.modelId || parentModelId,
         version.versionId
     );
     const civitaiTooltip = translate(
-        'modals.model.actions.viewOnCivitai',
+        'modals.model.versions.actions.viewVersionOnCivitai',
         {},
-        'View on Civitai'
+        'View version on Civitai'
     );
+    const civitaiLinkMarkup = linkTarget
+        ? `
+            <a
+                class="version-civitai-link"
+                href="${escapeHtml(linkTarget)}"
+                target="_blank"
+                rel="noopener noreferrer"
+                title="${escapeHtml(civitaiTooltip)}"
+                aria-label="${escapeHtml(civitaiTooltip)}"
+            >
+                <i class="fas fa-arrow-up-right-from-square" aria-hidden="true"></i>
+            </a>
+        `
+        : '';
 
     const rowAttributes = [
         `class="model-version-row${isCurrent ? ' is-current' : ''}${linkTarget ? ' is-clickable' : ''}${isEarlyAccess ? ' is-early-access' : ''}"`,
@@ -489,7 +614,6 @@ function renderRow(version, options) {
     ];
     if (linkTarget) {
         rowAttributes.push(`data-civitai-url="${escapeHtml(linkTarget)}"`);
-        rowAttributes.push(`title="${escapeHtml(civitaiTooltip)}"`);
     }
 
     return `
@@ -497,7 +621,8 @@ function renderRow(version, options) {
             ${renderMediaMarkup(version)}
             <div class="version-details">
                 <div class="version-title">
-                    <span class="versions-tab-version-name">${escapeHtml(version.name || translate('modals.model.versions.labels.unnamed', {}, 'Untitled Version'))}</span>
+                    <span class="versions-tab-version-name">${escapeHtml(versionName)}</span>
+                    ${civitaiLinkMarkup}
                 </div>
                 <div class="version-badges">${badges.join('')}</div>
                 <div class="version-meta">
@@ -1230,6 +1355,7 @@ export function initVersionsTab({
         if (!row) {
             return;
         }
+
         if (event.target.closest('button')) {
             return;
         }

static/js/core.js

@@ -9,6 +9,7 @@ import { moveManager } from './managers/MoveManager.js';
 import { bulkManager } from './managers/BulkManager.js';
 import { ExampleImagesManager } from './managers/ExampleImagesManager.js';
 import { helpManager } from './managers/HelpManager.js';
+import { doctorManager } from './managers/DoctorManager.js';
 import { bannerService } from './managers/BannerService.js';
 import { initTheme, initBackToTop } from './utils/uiHelpers.js';
 import { initializeInfiniteScroll } from './utils/infiniteScroll.js';
@@ -58,6 +59,7 @@ export class AppCore {
         const exampleImagesManager = new ExampleImagesManager();
         window.exampleImagesManager = exampleImagesManager;
         window.helpManager = helpManager;
+        window.doctorManager = doctorManager;
         window.moveManager = moveManager;
         window.bulkManager = bulkManager;
         
@@ -77,6 +79,7 @@ export class AppCore {
         exampleImagesManager.initialize();
         // Initialize the help manager
         helpManager.initialize();
+        doctorManager.initialize();
 
         const cardInfoDisplay = state.global.settings.card_info_display || 'always';
         document.body.classList.toggle('hover-reveal', cardInfoDisplay === 'hover');

static/js/managers/BatchImportManager.js

@@ -432,7 +432,7 @@ export class BatchImportManager {
         
         // Refresh recipes list to show newly imported recipes
         if (window.recipeManager && typeof window.recipeManager.loadRecipes === 'function') {
-            window.recipeManager.loadRecipes();
+            window.recipeManager.loadRecipes({ preserveScroll: true });
         }
         
         // Show results step

static/js/managers/BulkMissingLoraDownloadManager.js

@@ -311,7 +311,7 @@ export class BulkMissingLoraDownloadManager {
 
         // Refresh the recipes list to update LoRA status
         if (window.recipeManager) {
-            window.recipeManager.loadRecipes();
+            window.recipeManager.loadRecipes({ preserveScroll: true });
         }
     }
 

static/js/managers/DoctorManager.js

@@ -0,0 +1,397 @@
+import { modalManager } from './ModalManager.js';
+import { showToast } from '../utils/uiHelpers.js';
+import { translate } from '../utils/i18nHelpers.js';
+import { escapeHtml } from '../components/shared/utils.js';
+
+const MAX_CONSOLE_ENTRIES = 200;
+
+function stringifyConsoleArg(value) {
+    if (typeof value === 'string') {
+        return value;
+    }
+
+    try {
+        return JSON.stringify(value);
+    } catch (_error) {
+        return String(value);
+    }
+}
+
+export class DoctorManager {
+    constructor() {
+        this.initialized = false;
+        this.lastDiagnostics = null;
+        this.consoleEntries = [];
+    }
+
+    initialize() {
+        if (this.initialized) {
+            return;
+        }
+
+        this.triggerButton = document.getElementById('doctorTriggerBtn');
+        this.badge = document.getElementById('doctorStatusBadge');
+        this.modal = document.getElementById('doctorModal');
+        this.issuesList = document.getElementById('doctorIssuesList');
+        this.summaryText = document.getElementById('doctorSummaryText');
+        this.summaryBadge = document.getElementById('doctorSummaryBadge');
+        this.loadingState = document.getElementById('doctorLoadingState');
+        this.refreshButton = document.getElementById('doctorRefreshBtn');
+        this.exportButton = document.getElementById('doctorExportBtn');
+
+        this.installConsoleCapture();
+        this.bindEvents();
+        this.initialized = true;
+    }
+
+    bindEvents() {
+        if (this.triggerButton) {
+            this.triggerButton.addEventListener('click', async () => {
+                modalManager.showModal('doctorModal');
+                await this.refreshDiagnostics();
+            });
+        }
+
+        if (this.refreshButton) {
+            this.refreshButton.addEventListener('click', async () => {
+                await this.refreshDiagnostics();
+            });
+        }
+
+        if (this.exportButton) {
+            this.exportButton.addEventListener('click', async () => {
+                await this.exportBundle();
+            });
+        }
+    }
+
+    installConsoleCapture() {
+        if (window.__lmDoctorConsolePatched) {
+            this.consoleEntries = window.__lmDoctorConsoleEntries || [];
+            return;
+        }
+
+        const originalConsole = {};
+        const levels = ['log', 'info', 'warn', 'error', 'debug'];
+        window.__lmDoctorConsoleEntries = this.consoleEntries;
+
+        levels.forEach((level) => {
+            const original = console[level]?.bind(console);
+            originalConsole[level] = original;
+
+            console[level] = (...args) => {
+                this.consoleEntries.push({
+                    level,
+                    timestamp: new Date().toISOString(),
+                    message: args.map(stringifyConsoleArg).join(' '),
+                });
+
+                if (this.consoleEntries.length > MAX_CONSOLE_ENTRIES) {
+                    this.consoleEntries.splice(0, this.consoleEntries.length - MAX_CONSOLE_ENTRIES);
+                }
+
+                if (original) {
+                    original(...args);
+                }
+            };
+        });
+
+        window.__lmDoctorConsolePatched = true;
+    }
+
+    getClientVersion() {
+        return document.body?.dataset?.appVersion || '';
+    }
+
+    buildReloadUrl() {
+        const url = new URL(window.location.href);
+        url.searchParams.set('_lm_reload', Date.now().toString());
+        return url.toString();
+    }
+
+    reloadUi() {
+        window.location.replace(this.buildReloadUrl());
+    }
+
+    setLoading(isLoading) {
+        if (this.loadingState) {
+            this.loadingState.classList.toggle('visible', isLoading);
+        }
+        if (this.refreshButton) {
+            this.refreshButton.disabled = isLoading;
+        }
+        if (this.exportButton) {
+            this.exportButton.disabled = isLoading;
+        }
+    }
+
+    async refreshDiagnostics({ silent = false } = {}) {
+        this.setLoading(true);
+        try {
+            const clientVersion = encodeURIComponent(this.getClientVersion());
+            const response = await fetch(`/api/lm/doctor/diagnostics?clientVersion=${clientVersion}`);
+            const payload = await response.json();
+
+            if (!response.ok || payload.success === false) {
+                throw new Error(payload.error || 'Failed to load doctor diagnostics');
+            }
+
+            this.lastDiagnostics = payload;
+            this.updateTriggerState(payload.summary);
+            this.renderDiagnostics(payload);
+        } catch (error) {
+            console.error('Doctor diagnostics failed:', error);
+            if (!silent) {
+                showToast('doctor.toast.loadFailed', { message: error.message }, 'error');
+            }
+        } finally {
+            this.setLoading(false);
+        }
+    }
+
+    updateTriggerState(summary = {}) {
+        if (!this.badge || !this.triggerButton) {
+            return;
+        }
+
+        const issueCount = Number(summary.issue_count || 0);
+        this.badge.textContent = issueCount > 9 ? '9+' : String(issueCount);
+        this.badge.classList.toggle('hidden', issueCount === 0);
+
+        this.triggerButton.classList.remove('doctor-status-warning', 'doctor-status-error');
+        if (summary.status === 'error') {
+            this.triggerButton.classList.add('doctor-status-error');
+        } else if (summary.status === 'warning') {
+            this.triggerButton.classList.add('doctor-status-warning');
+        }
+    }
+
+    renderDiagnostics(payload) {
+        if (!this.modal || !this.issuesList || !this.summaryText || !this.summaryBadge) {
+            return;
+        }
+
+        const { summary = {}, diagnostics = [] } = payload;
+        this.summaryText.textContent = this.getSummaryText(summary);
+        this.summaryBadge.className = `doctor-summary-badge ${this.getStatusClass(summary.status)}`;
+        this.summaryBadge.innerHTML = `
+            <i class="fas ${summary.status === 'error' ? 'fa-triangle-exclamation' : summary.status === 'warning' ? 'fa-stethoscope' : 'fa-heartbeat'}"></i>
+            <span>${escapeHtml(this.getStatusLabel(summary.status))}</span>
+        `;
+
+        this.issuesList.innerHTML = diagnostics.map((item) => this.renderIssueCard(item)).join('');
+        this.attachIssueActions();
+    }
+
+    getSummaryText(summary) {
+        if (summary.status === 'error') {
+            return translate(
+                'doctor.summary.error',
+                { count: summary.issue_count || 0 },
+                `${summary.issue_count || 0} issue(s) need attention before the app is fully healthy.`
+            );
+        }
+
+        if (summary.status === 'warning') {
+            return translate(
+                'doctor.summary.warning',
+                { count: summary.issue_count || 0 },
+                `${summary.issue_count || 0} issue(s) were found. Most can be fixed directly from this panel.`
+            );
+        }
+
+        return translate(
+            'doctor.summary.ok',
+            {},
+            'No active issues were found in the current environment.'
+        );
+    }
+
+    getStatusClass(status) {
+        if (status === 'error') {
+            return 'doctor-status-error';
+        }
+        if (status === 'warning') {
+            return 'doctor-status-warning';
+        }
+        return 'doctor-status-ok';
+    }
+
+    getStatusLabel(status) {
+        return translate(`doctor.status.${status || 'ok'}`, {}, status || 'ok');
+    }
+
+    renderIssueCard(item) {
+        const status = item.status || 'ok';
+        const tagLabel = this.getStatusLabel(status);
+        const details = Array.isArray(item.details) ? item.details : [];
+        const listItems = details
+            .filter((detail) => typeof detail === 'string')
+            .map((detail) => `<li>${escapeHtml(detail)}</li>`)
+            .join('');
+        const inlineDetails = details
+            .filter((detail) => detail && typeof detail === 'object')
+            .map((detail) => this.renderInlineDetail(detail))
+            .join('');
+        const actions = (item.actions || [])
+            .map((action) => `
+                <button class="${action.id === 'repair-cache' || action.id === 'reload-page' ? 'primary-btn' : 'secondary-btn'}" data-doctor-action="${escapeHtml(action.id)}">
+                    ${escapeHtml(action.label)}
+                </button>
+            `)
+            .join('');
+
+        return `
+            <section class="doctor-issue-card" data-status="${escapeHtml(status)}" data-issue-id="${escapeHtml(item.id || '')}">
+                <div class="doctor-issue-header">
+                    <div>
+                        <h3>${escapeHtml(item.title || '')}</h3>
+                        <p class="doctor-issue-summary">${escapeHtml(item.summary || '')}</p>
+                    </div>
+                    <span class="doctor-issue-tag">${escapeHtml(tagLabel)}</span>
+                </div>
+                ${inlineDetails ? `<div class="doctor-inline-detail-grid">${inlineDetails}</div>` : ''}
+                ${listItems ? `<ul class="doctor-issue-details">${listItems}</ul>` : ''}
+                ${actions ? `<div class="doctor-issue-actions">${actions}</div>` : ''}
+            </section>
+        `;
+    }
+
+    renderInlineDetail(detail) {
+        if (detail.client_version || detail.server_version) {
+            return `
+                <div class="doctor-inline-detail">
+                    <strong>${escapeHtml(translate('common.status.version', {}, 'Version'))}</strong>
+                    <div>${escapeHtml(`Client: ${detail.client_version || 'unknown'}`)}</div>
+                    <div>${escapeHtml(`Server: ${detail.server_version || 'unknown'}`)}</div>
+                </div>
+            `;
+        }
+
+        const label = detail.label || detail.model_type || detail.client_version || detail.server_version || 'Detail';
+        const message = detail.message
+            || detail.corruption_rate
+            || detail.server_version
+            || detail.client_version
+            || '';
+
+        if (detail.model_type) {
+            return `
+                <div class="doctor-inline-detail">
+                    <strong>${escapeHtml(detail.label || detail.model_type)}</strong>
+                    <div>${escapeHtml(detail.message || '')}</div>
+                    ${detail.corruption_rate ? `<div>${escapeHtml(detail.corruption_rate)} invalid</div>` : ''}
+                </div>
+            `;
+        }
+
+        return `
+            <div class="doctor-inline-detail">
+                <strong>${escapeHtml(label)}</strong>
+                <div>${escapeHtml(message)}</div>
+            </div>
+        `;
+    }
+
+    attachIssueActions() {
+        this.issuesList.querySelectorAll('[data-doctor-action]').forEach((button) => {
+            button.addEventListener('click', async (event) => {
+                const action = event.currentTarget.dataset.doctorAction;
+                await this.handleAction(action);
+            });
+        });
+    }
+
+    async handleAction(action) {
+        switch (action) {
+            case 'open-settings':
+                modalManager.showModal('settingsModal');
+                window.setTimeout(() => {
+                    const input = document.getElementById('civitaiApiKey');
+                    if (input) {
+                        input.focus();
+                        input.scrollIntoView({ behavior: 'smooth', block: 'center' });
+                    }
+                }, 100);
+                break;
+            case 'repair-cache':
+                await this.repairCache();
+                break;
+            case 'reload-page':
+                this.reloadUi();
+                break;
+            default:
+                break;
+        }
+    }
+
+    async repairCache() {
+        try {
+            this.setLoading(true);
+            const response = await fetch('/api/lm/doctor/repair-cache', { method: 'POST' });
+            const payload = await response.json();
+
+            if (!response.ok || payload.success === false) {
+                throw new Error(payload.error || translate('doctor.toast.repairFailed', {}, 'Cache rebuild failed.'));
+            }
+
+            showToast('doctor.toast.repairSuccess', {}, 'success');
+            await this.refreshDiagnostics({ silent: true });
+        } catch (error) {
+            console.error('Doctor cache repair failed:', error);
+            showToast('doctor.toast.repairFailed', { message: error.message }, 'error');
+        } finally {
+            this.setLoading(false);
+        }
+    }
+
+    async exportBundle() {
+        try {
+            this.setLoading(true);
+            const response = await fetch('/api/lm/doctor/export-bundle', {
+                method: 'POST',
+                headers: {
+                    'Content-Type': 'application/json',
+                },
+                body: JSON.stringify({
+                    summary: this.lastDiagnostics?.summary || null,
+                    diagnostics: this.lastDiagnostics?.diagnostics || [],
+                    frontend_logs: this.consoleEntries,
+                    client_context: {
+                        url: window.location.href,
+                        user_agent: navigator.userAgent,
+                        language: navigator.language,
+                        app_version: this.getClientVersion(),
+                    },
+                }),
+            });
+
+            if (!response.ok) {
+                const payload = await response.json().catch(() => ({}));
+                throw new Error(payload.error || 'Failed to export diagnostics bundle');
+            }
+
+            const blob = await response.blob();
+            const disposition = response.headers.get('Content-Disposition') || '';
+            const match = disposition.match(/filename=\"([^\"]+)\"/);
+            const filename = match?.[1] || 'lora-manager-doctor.zip';
+            const url = URL.createObjectURL(blob);
+            const anchor = document.createElement('a');
+            anchor.href = url;
+            anchor.download = filename;
+            document.body.appendChild(anchor);
+            anchor.click();
+            anchor.remove();
+            URL.revokeObjectURL(url);
+
+            showToast('doctor.toast.exportSuccess', {}, 'success');
+        } catch (error) {
+            console.error('Doctor export failed:', error);
+            showToast('doctor.toast.exportFailed', { message: error.message }, 'error');
+        } finally {
+            this.setLoading(false);
+        }
+    }
+}
+
+export const doctorManager = new DoctorManager();

static/js/managers/DownloadManager.js

@@ -250,6 +250,7 @@ export class DownloadManager {
                 (version.files[0]?.sizeKB / 1024).toFixed(2);
 
             const existsLocally = version.existsLocally;
+            const hasBeenDownloaded = version.hasBeenDownloaded && !existsLocally;
             const localPath = version.localPath;
             const isEarlyAccess = version.availability === 'EarlyAccess';
 
@@ -262,11 +263,22 @@ export class DownloadManager {
                 `;
             }
 
-            const localStatus = existsLocally ?
-                `<div class="local-badge">
+            let localStatus = '';
+            if (existsLocally) {
+                localStatus = `<div class="local-badge">
                     <i class="fas fa-check"></i> ${translate('modals.download.inLibrary')}
                     <div class="local-path">${localPath || ''}</div>
-                 </div>` : '';
+                 </div>`;
+            } else if (hasBeenDownloaded) {
+                const downloadedTooltip = translate(
+                    'modals.download.downloadedTooltip',
+                    {},
+                    'Previously downloaded, but it is not currently in your library.'
+                );
+                localStatus = `<div class="downloaded-badge" title="${downloadedTooltip.replace(/"/g, '&quot;')}">
+                    <i class="fas fa-history"></i> ${translate('modals.download.downloaded', {}, 'Downloaded')}
+                 </div>`;
+            }
 
             return `
                 <div class="version-item ${this.currentVersion?.id === version.id ? 'selected' : ''} 

static/js/managers/ModalManager.js

@@ -84,6 +84,18 @@ export class ModalManager {
             });
         }
 
+        const doctorModal = document.getElementById('doctorModal');
+        if (doctorModal) {
+            this.registerModal('doctorModal', {
+                element: doctorModal,
+                onClose: () => {
+                    this.getModal('doctorModal').element.style.display = 'none';
+                    document.body.classList.remove('modal-open');
+                },
+                closeOnOutsideClick: true
+            });
+        }
+
         // Add moveModal registration
         const moveModal = document.getElementById('moveModal');
         if (moveModal) {
@@ -451,4 +463,4 @@ export class ModalManager {
 }
 
 // Create and export a singleton instance
-export const modalManager = new ModalManager();
+export const modalManager = new ModalManager();

static/js/managers/SettingsManager.js

@@ -146,6 +146,10 @@ export class SettingsManager {
             backendSettings?.metadata_refresh_skip_paths ?? defaults.metadata_refresh_skip_paths
         );
 
+        merged.skip_previously_downloaded_model_versions =
+            backendSettings?.skip_previously_downloaded_model_versions
+            ?? defaults.skip_previously_downloaded_model_versions;
+
         merged.download_skip_base_models = this.normalizeDownloadSkipBaseModels(
             backendSettings?.download_skip_base_models ?? defaults.download_skip_base_models
         );
@@ -357,6 +361,13 @@ export class SettingsManager {
             });
         }
 
+        const openBackupLocationButton = document.getElementById('backupOpenLocationBtn');
+        if (openBackupLocationButton) {
+            openBackupLocationButton.addEventListener('click', () => {
+                this.openBackupLocation();
+            });
+        }
+
         ['lora', 'checkpoint', 'embedding'].forEach(modelType => {
             const customInput = document.getElementById(`${modelType}CustomTemplate`);
             if (customInput) {
@@ -738,6 +749,35 @@ export class SettingsManager {
         }
     }
 
+    async openBackupLocation() {
+        try {
+            const response = await fetch('/api/lm/backup/open-location', {
+                method: 'POST'
+            });
+
+            if (!response.ok) {
+                throw new Error(`Request failed with status ${response.status}`);
+            }
+
+            const data = await response.json();
+
+            if (data.mode === 'clipboard' && data.path) {
+                try {
+                    await navigator.clipboard.writeText(data.path);
+                    showToast('settings.backup.locationCopied', { path: data.path }, 'success');
+                } catch (clipboardErr) {
+                    console.warn('Clipboard API not available:', clipboardErr);
+                    showToast('settings.backup.locationClipboardFallback', { path: data.path }, 'info');
+                }
+            } else {
+                showToast('settings.backup.openFolderSuccess', {}, 'success');
+            }
+        } catch (error) {
+            console.error('Failed to open backup folder:', error);
+            showToast('settings.backup.openFolderFailed', {}, 'error');
+        }
+    }
+
     async loadSettingsToUI() {
         // Set frontend settings from state
         const blurMatureContentCheckbox = document.getElementById('blurMatureContent');
@@ -762,6 +802,11 @@ export class SettingsManager {
             usePortableCheckbox.checked = !!state.global.settings.use_portable_settings;
         }
 
+        const recipesPathInput = document.getElementById('recipesPath');
+        if (recipesPathInput) {
+            recipesPathInput.value = state.global.settings.recipes_path || '';
+        }
+
         const autoOrganizeExclusionsInput = document.getElementById('autoOrganizeExclusions');
         if (autoOrganizeExclusionsInput) {
             const patterns = this.normalizePatternList(state.global.settings.auto_organize_exclusions);
@@ -836,6 +881,12 @@ export class SettingsManager {
             hideEarlyAccessUpdatesCheckbox.checked = state.global.settings.hide_early_access_updates || false;
         }
 
+        const skipPreviouslyDownloadedModelVersionsCheckbox = document.getElementById('skipPreviouslyDownloadedModelVersions');
+        if (skipPreviouslyDownloadedModelVersionsCheckbox) {
+            skipPreviouslyDownloadedModelVersionsCheckbox.checked =
+                state.global.settings.skip_previously_downloaded_model_versions || false;
+        }
+
         // Set optimize example images setting
         const optimizeExampleImagesCheckbox = document.getElementById('optimizeExampleImages');
         if (optimizeExampleImagesCheckbox) {
@@ -863,6 +914,9 @@ export class SettingsManager {
         // Load metadata archive settings
         await this.loadMetadataArchiveSettings();
 
+        // Load backup settings
+        await this.loadBackupSettings();
+
         // Load base model path mappings
         this.loadBaseModelMappings();
 
@@ -1389,12 +1443,12 @@ export class SettingsManager {
 
             // Add empty row for new path if no paths exist
             if (paths.length === 0) {
-                this.addExtraFolderPathRow(modelType, '');
+                this.addExtraFolderPathRow(modelType, '', false);
             }
         });
     }
 
-    addExtraFolderPathRow(modelType, path = '') {
+    addExtraFolderPathRow(modelType, path = '', shouldFocus = true) {
         const container = document.getElementById(`extraFolderPaths-${modelType}`);
         if (!container) return;
 
@@ -1418,7 +1472,7 @@ export class SettingsManager {
         container.appendChild(row);
 
         // Focus the input if it's empty (new row)
-        if (!path) {
+        if (!path && shouldFocus) {
             const input = row.querySelector('.extra-folder-path-input');
             if (input) {
                 setTimeout(() => input.focus(), 0);
@@ -1461,7 +1515,7 @@ export class SettingsManager {
         try {
             // Save to backend - this triggers path validation
             await this.saveSetting('extra_folder_paths', extraFolderPaths);
-            showToast('toast.settings.settingsUpdated', { setting: 'Extra Folder Paths' }, 'success');
+            showToast('settings.extraFolderPaths.saveSuccess', {}, 'success');
 
             // Add empty row if no valid paths exist for the changed type
             const container = document.getElementById(`extraFolderPaths-${changedModelType}`);
@@ -1842,6 +1896,10 @@ export class SettingsManager {
                 await this.updateMetadataArchiveStatus();
             }
 
+            if (settingKey === 'backup_auto_enabled') {
+                await this.updateBackupStatus();
+            }
+
             showToast('toast.settings.settingsUpdated', { setting: settingKey.replace(/_/g, ' ') }, 'success');
 
             // Apply frontend settings immediately
@@ -1930,6 +1988,163 @@ export class SettingsManager {
         }
     }
 
+    async loadBackupSettings() {
+        const backupAutoEnabledCheckbox = document.getElementById('backupAutoEnabled');
+        if (backupAutoEnabledCheckbox) {
+            backupAutoEnabledCheckbox.checked = state.global.settings.backup_auto_enabled ?? true;
+        }
+
+        const backupRetentionCountInput = document.getElementById('backupRetentionCount');
+        if (backupRetentionCountInput) {
+            backupRetentionCountInput.value = state.global.settings.backup_retention_count ?? 5;
+        }
+
+        await this.updateBackupStatus();
+    }
+
+    async updateBackupStatus() {
+        try {
+            const response = await fetch('/api/lm/backup/status');
+            const data = await response.json();
+
+            const statusContainer = document.getElementById('backupStatus');
+            if (!statusContainer || !data.success) {
+                return;
+            }
+
+            const status = data.status || {};
+            const latestAutoSnapshot = status.latestAutoSnapshot;
+            const retentionCount = status.retentionCount ?? state.global.settings.backup_retention_count ?? 5;
+            const enabled = status.enabled ?? state.global.settings.backup_auto_enabled ?? true;
+            const backupDir = status.backupDir || '';
+            const backupLocationPath = document.getElementById('backupLocationPath');
+            if (backupLocationPath) {
+                backupLocationPath.textContent = backupDir;
+                backupLocationPath.title = backupDir;
+            }
+
+            const formatTimestamp = (timestamp) => {
+                if (!timestamp) {
+                    return translate('common.status.unknown', {}, 'Unknown');
+                }
+                return new Date(timestamp * 1000).toLocaleString();
+            };
+
+            const renderSnapshotDetail = (snapshot) => {
+                if (!snapshot) {
+                    return translate('settings.backup.noneAvailable', {}, 'No snapshots yet');
+                }
+
+                const size = typeof snapshot.size === 'number' ? ` (${this.formatFileSize(snapshot.size)})` : '';
+                return `${snapshot.name}${size}`;
+            };
+
+            statusContainer.innerHTML = `
+                <div class="backup-summary-grid">
+                    <div class="backup-summary-card">
+                        <div class="backup-summary-label">${translate('settings.backup.autoEnabled', {}, 'Automatic snapshots')}</div>
+                        <div class="backup-summary-value status-${enabled ? 'enabled' : 'disabled'}">
+                            ${enabled ? translate('common.status.enabled') : translate('common.status.disabled')}
+                        </div>
+                    </div>
+                    <div class="backup-summary-card">
+                        <div class="backup-summary-label">${translate('settings.backup.retention', {}, 'Retention')}</div>
+                        <div class="backup-summary-value">${retentionCount}</div>
+                    </div>
+                    <div class="backup-summary-card">
+                        <div class="backup-summary-label">${translate('settings.backup.snapshotCount', {}, 'Saved snapshots')}</div>
+                        <div class="backup-summary-value">${status.snapshotCount ?? 0}</div>
+                    </div>
+                </div>
+                <div class="backup-status-list">
+                    <div class="backup-status-row">
+                        <div class="backup-status-label">${translate('settings.backup.latestAutoSnapshot', {}, 'Latest auto snapshot')}</div>
+                        <div class="backup-status-content">
+                            <div class="backup-status-primary">${formatTimestamp(latestAutoSnapshot?.mtime)}</div>
+                            <div class="backup-status-secondary">${renderSnapshotDetail(latestAutoSnapshot)}</div>
+                        </div>
+                    </div>
+                </div>
+            `;
+        } catch (error) {
+            console.error('Error updating backup status:', error);
+        }
+    }
+
+    async exportBackup() {
+        try {
+            const response = await fetch('/api/lm/backup/export', {
+                method: 'POST',
+            });
+
+            if (!response.ok) {
+                throw new Error(`Request failed with status ${response.status}`);
+            }
+
+            const blob = await response.blob();
+            const contentDisposition = response.headers.get('Content-Disposition') || '';
+            const match = contentDisposition.match(/filename="([^"]+)"/);
+            const filename = match?.[1] || `lora-manager-backup-${Date.now()}.zip`;
+
+            const url = window.URL.createObjectURL(blob);
+            const link = document.createElement('a');
+            link.href = url;
+            link.download = filename;
+            document.body.appendChild(link);
+            link.click();
+            link.remove();
+            window.URL.revokeObjectURL(url);
+
+            showToast('settings.backup.exportSuccess', {}, 'success');
+        } catch (error) {
+            console.error('Failed to export backup:', error);
+            showToast('settings.backup.exportFailed', { message: error.message }, 'error');
+        }
+    }
+
+    triggerBackupImport() {
+        const input = document.getElementById('backupImportInput');
+        input?.click();
+    }
+
+    async handleBackupImportFile(input) {
+        if (!(input instanceof HTMLInputElement)) {
+            return;
+        }
+
+        const file = input.files?.[0];
+        input.value = '';
+        if (!file) {
+            return;
+        }
+
+        if (!confirm(translate('settings.backup.importConfirm', {}, 'Import this backup and overwrite local user state?'))) {
+            return;
+        }
+
+        try {
+            const formData = new FormData();
+            formData.append('archive', file);
+
+            const response = await fetch('/api/lm/backup/import', {
+                method: 'POST',
+                body: formData,
+            });
+
+            const data = await response.json();
+            if (!response.ok || data.success === false) {
+                throw new Error(data.error || `Request failed with status ${response.status}`);
+            }
+
+            showToast('settings.backup.importSuccess', {}, 'success');
+            await this.updateBackupStatus();
+            window.location.reload();
+        } catch (error) {
+            console.error('Failed to import backup:', error);
+            showToast('settings.backup.importFailed', { message: error.message }, 'error');
+        }
+    }
+
     async updateMetadataArchiveStatus() {
         try {
             const response = await fetch('/api/lm/metadata-archive-status');
@@ -2454,14 +2669,24 @@ export class SettingsManager {
         if (!element) return;
 
         const value = element.value.trim(); // Trim whitespace
+        const shouldShowLoading = settingKey === 'recipes_path';
 
         try {
             // Check if value has changed from existing value
-            const currentValue = state.global.settings[settingKey] || '';
-            if (value === currentValue) {
+            const currentValue = state.global.settings[settingKey];
+            const normalizedCurrentValue = currentValue === undefined || currentValue === null
+                ? ''
+                : String(currentValue).trim();
+            if (value === normalizedCurrentValue) {
                 return; // No change, exit early
             }
 
+            if (shouldShowLoading) {
+                state.loadingManager?.showSimpleLoading(
+                    translate('settings.folderSettings.recipesPathMigrating', {}, 'Migrating recipes...')
+                );
+            }
+
             // For username and password, handle empty values specially
             if ((settingKey === 'proxy_username' || settingKey === 'proxy_password') && value === '') {
                 // Remove from state instead of setting to empty string
@@ -2487,10 +2712,28 @@ export class SettingsManager {
                 await this.saveSetting(settingKey, value);
             }
 
-            showToast('toast.settings.settingsUpdated', { setting: settingKey.replace(/_/g, ' ') }, 'success');
+            if (shouldShowLoading) {
+                state.loadingManager?.hide();
+            }
+
+            if (settingKey === 'recipes_path') {
+                showToast('toast.settings.recipesPathUpdated', {}, 'success');
+            } else if (settingKey === 'backup_retention_count') {
+                await this.updateBackupStatus();
+                showToast('toast.settings.settingsUpdated', { setting: settingKey.replace(/_/g, ' ') }, 'success');
+            } else {
+                showToast('toast.settings.settingsUpdated', { setting: settingKey.replace(/_/g, ' ') }, 'success');
+            }
 
         } catch (error) {
-            showToast('toast.settings.settingSaveFailed', { message: error.message }, 'error');
+            if (shouldShowLoading) {
+                state.loadingManager?.hide();
+            }
+            if (settingKey === 'recipes_path') {
+                showToast('toast.settings.recipesPathSaveFailed', { message: error.message }, 'error');
+            } else {
+                showToast('toast.settings.settingSaveFailed', { message: error.message }, 'error');
+            }
         }
     }
 

static/js/managers/import/DownloadManager.js

@@ -122,7 +122,7 @@ export class DownloadManager {
             modalManager.closeModal('importModal');
 
             // Refresh the recipe
-            window.recipeManager.loadRecipes();
+            window.recipeManager.loadRecipes({ preserveScroll: true });
 
         } catch (error) {
             console.error('Error:', error);

static/js/recipes.js

@@ -328,16 +328,32 @@ class RecipeManager {
         });
     }
 
+    normalizeLoadRecipesOptions(options = true) {
+        if (typeof options === 'boolean') {
+            return {
+                resetPage: options,
+                preserveScroll: false
+            };
+        }
+
+        return {
+            resetPage: options?.resetPage !== false,
+            preserveScroll: options?.preserveScroll === true
+        };
+    }
+
     // This method is kept for compatibility but now uses virtual scrolling
-    async loadRecipes(resetPage = true) {
+    async loadRecipes(options = true) {
         // Skip loading if in duplicates mode
         const pageState = getCurrentPageState();
         if (pageState.duplicatesMode) {
             return;
         }
 
+        const { resetPage, preserveScroll } = this.normalizeLoadRecipesOptions(options);
+
         if (resetPage) {
-            refreshVirtualScroll();
+            await refreshVirtualScroll({ preserveScroll });
         }
     }
 

static/js/state/index.js

@@ -18,6 +18,7 @@ const DEFAULT_SETTINGS_BASE = Object.freeze({
     default_lora_root: '',
     default_checkpoint_root: '',
     default_embedding_root: '',
+    recipes_path: '',
     base_model_path_mappings: {},
     download_path_templates: {},
     example_images_path: '',
@@ -38,7 +39,10 @@ const DEFAULT_SETTINGS_BASE = Object.freeze({
     hide_early_access_updates: false,
     auto_organize_exclusions: [],
     metadata_refresh_skip_paths: [],
+    skip_previously_downloaded_model_versions: false,
     download_skip_base_models: [],
+    backup_auto_enabled: true,
+    backup_retention_count: 5,
 });
 
 export function createDefaultSettings() {

static/js/utils/civitaiUtils.js

@@ -30,8 +30,9 @@ export function rewriteCivitaiUrl(sourceUrl, mediaType = null, mode = Optimizati
     try {
         const url = new URL(sourceUrl);
         
-        // Check if it's a CivitAI image domain
-        if (url.hostname.toLowerCase() !== 'image.civitai.com') {
+        // Check if it's a CivitAI CDN domain (supports all subdomains like image-b2.civitai.com)
+        const hostname = url.hostname.toLowerCase();
+        if (hostname === 'civitai.com' || !hostname.endsWith('.civitai.com')) {
             return [sourceUrl, false];
         }
 
@@ -112,7 +113,8 @@ export function isCivitaiUrl(url) {
     if (!url) return false;
     try {
         const parsed = new URL(url);
-        return parsed.hostname.toLowerCase() === 'image.civitai.com';
+        const hostname = parsed.hostname.toLowerCase();
+        return hostname.endsWith('.civitai.com') && hostname !== 'civitai.com';
     } catch (e) {
         return false;
     }

static/js/utils/infiniteScroll.js

@@ -4,6 +4,43 @@ import { createModelCard, setupModelCardEventDelegation } from '../components/sh
 import { getModelApiClient } from '../api/modelApiFactory.js';
 import { showToast } from './uiHelpers.js';
 
+function getScrollContainer() {
+    return document.querySelector('.page-content');
+}
+
+function getClampedScrollTop(scrollContainer, scrollTop) {
+    const maxScrollTop = Math.max(0, scrollContainer.scrollHeight - scrollContainer.clientHeight);
+    return Math.min(Math.max(scrollTop, 0), maxScrollTop);
+}
+
+function waitForAnimationFrame() {
+    return new Promise(resolve => requestAnimationFrame(resolve));
+}
+
+export function captureScrollPosition() {
+    const scrollContainer = getScrollContainer();
+    if (!scrollContainer) {
+        return null;
+    }
+
+    return {
+        scrollContainer,
+        scrollTop: scrollContainer.scrollTop
+    };
+}
+
+export async function restoreScrollPosition(snapshot) {
+    if (!snapshot?.scrollContainer) {
+        return;
+    }
+
+    // Wait for layout and the scheduled virtual-scroll render to settle.
+    await waitForAnimationFrame();
+    await waitForAnimationFrame();
+
+    snapshot.scrollContainer.scrollTop = getClampedScrollTop(snapshot.scrollContainer, snapshot.scrollTop);
+}
+
 // Function to dynamically import the appropriate card creator based on page type
 async function getCardCreator(pageType) {
     if (pageType === 'recipes') {
@@ -87,7 +124,7 @@ async function initializeVirtualScroll(pageType) {
     }
 
     // Change this line to get the actual scrolling container
-    const scrollContainer = document.querySelector('.page-content');
+    const scrollContainer = getScrollContainer();
     const gridContainer = scrollContainer.querySelector('.container');
 
     if (!gridContainer) {
@@ -200,9 +237,16 @@ export function cleanupKeyboardNavigation() {
 }
 
 // Export a method to refresh the virtual scroller when filters change
-export function refreshVirtualScroll() {
+export async function refreshVirtualScroll(options = {}) {
+    const { preserveScroll = false } = options;
+
     if (state.virtualScroller) {
+        const scrollSnapshot = preserveScroll ? captureScrollPosition() : null;
         state.virtualScroller.reset();
-        state.virtualScroller.initialize();
+        await state.virtualScroller.initialize();
+
+        if (scrollSnapshot) {
+            await restoreScrollPosition(scrollSnapshot);
+        }
     }
-}
+}

templates/base.html

@@ -62,7 +62,7 @@
 </head>
 
 {% set page_id = self.page_id() %}
-<body data-page="{{ page_id }}">
+<body data-page="{{ page_id }}" data-app-version="{{ version }}">
     <!-- Header is always visible, even during initialization -->
     {% include 'components/header.html' %}
 

templates/components/controls.html

@@ -84,6 +84,13 @@
         </div>
         
         <div class="controls-right">
+            <div class="control-group doctor-control-group">
+                <button id="doctorTriggerBtn" class="doctor-trigger" title="{{ t('doctor.buttonTitle', default='Run diagnostics and common fixes') }}">
+                    <i class="fas fa-stethoscope"></i>
+                    <span>{{ t('doctor.title', default='Doctor') }}</span>
+                    <span id="doctorStatusBadge" class="doctor-status-badge hidden" aria-hidden="true"></span>
+                </button>
+            </div>
             <div class="keyboard-nav-hint tooltip">
                 <i class="fas fa-keyboard"></i>
                 <span class="tooltiptext">
@@ -117,4 +124,4 @@
             <!-- Breadcrumbs will be populated by JavaScript -->
         </nav>
     </div>
-</div>
+</div>

templates/components/modals.html

@@ -3,6 +3,7 @@
 
 {% include 'components/modals/confirm_modals.html' %}
 {% include 'components/modals/settings_modal.html' %}
+{% include 'components/modals/doctor_modal.html' %}
 {% include 'components/modals/support_modal.html' %}
 {% include 'components/modals/update_modal.html' %}
 {% include 'components/modals/help_modal.html' %}
@@ -11,4 +12,4 @@
 {% include 'components/modals/download_modal.html' %}
 {% include 'components/modals/move_modal.html' %}
 {% include 'components/modals/bulk_add_tags_modal.html' %}
-{% include 'components/modals/bulk_base_model_modal.html' %}
+{% include 'components/modals/bulk_base_model_modal.html' %}

templates/components/modals/doctor_modal.html

@@ -0,0 +1,40 @@
+<div id="doctorModal" class="modal">
+    <div class="modal-content doctor-modal">
+        <button class="close" onclick="modalManager.closeModal('doctorModal')">&times;</button>
+
+        <div class="doctor-shell">
+            <div class="doctor-hero">
+                <div class="doctor-hero-copy">
+                    <span class="doctor-kicker">{{ t('doctor.kicker', default='System diagnostics') }}</span>
+                    <h2>{{ t('doctor.title', default='Doctor') }}</h2>
+                    <p id="doctorSummaryText">{{ t('doctor.summary.idle', default='Run a health check for settings, cache integrity, and UI consistency.') }}</p>
+                </div>
+                <div id="doctorSummaryBadge" class="doctor-summary-badge doctor-status-ok">
+                    <i class="fas fa-heartbeat"></i>
+                    <span>{{ t('doctor.status.ok', default='Healthy') }}</span>
+                </div>
+            </div>
+
+            <div id="doctorLoadingState" class="doctor-loading-state">
+                <i class="fas fa-spinner fa-spin"></i>
+                <span>{{ t('doctor.loading', default='Checking environment...') }}</span>
+            </div>
+
+            <div id="doctorIssuesList" class="doctor-issues-list"></div>
+
+            <div class="doctor-footer">
+                <div class="doctor-footer-note">{{ t('doctor.footer', default='Export a diagnostics bundle if the issues remain after repair.') }}</div>
+                <div class="doctor-footer-actions">
+                    <button id="doctorRefreshBtn" class="secondary-btn">
+                        <i class="fas fa-sync-alt"></i>
+                        <span>{{ t('doctor.actions.runAgain', default='Run Again') }}</span>
+                    </button>
+                    <button id="doctorExportBtn" class="primary-btn">
+                        <i class="fas fa-file-export"></i>
+                        <span>{{ t('doctor.actions.exportBundle', default='Export Bundle') }}</span>
+                    </button>
+                </div>
+            </div>
+        </div>
+    </div>
+</div>

templates/components/modals/settings_modal.html

@@ -90,7 +90,7 @@
                                 </div>
                             </div>
                         </div>
-                        
+                       
                         <!-- API Configuration -->
                         <div class="setting-item api-key-item">
                             <div class="setting-row">
@@ -113,6 +113,96 @@
                                 </div>
                             </div>
                         </div>
+
+                        <!-- Backup -->
+                        <div class="settings-subsection">
+                            <div class="settings-subsection-header">
+                                <h4>{{ t('settings.sections.backup') }}</h4>
+                            </div>
+                            <div class="settings-help-text subtle">
+                                {{ t('settings.backup.scopeHelp') }}
+                            </div>
+                            <div class="setting-item">
+                                <div class="setting-row">
+                                    <div class="setting-info">
+                                        <label for="backupAutoEnabled">
+                                            {{ t('settings.backup.autoEnabled') }}
+                                            <i class="fas fa-info-circle info-icon" data-tooltip="{{ t('settings.backup.autoEnabledHelp') }}"></i>
+                                        </label>
+                                    </div>
+                                    <div class="setting-control">
+                                        <label class="toggle-switch">
+                                            <input type="checkbox" id="backupAutoEnabled"
+                                                   onchange="settingsManager.saveToggleSetting('backupAutoEnabled', 'backup_auto_enabled')">
+                                            <span class="toggle-slider"></span>
+                                        </label>
+                                    </div>
+                                </div>
+                            </div>
+                            <div class="setting-item">
+                                <div class="setting-row">
+                                    <div class="setting-info">
+                                        <label for="backupRetentionCount">
+                                            {{ t('settings.backup.retention') }}
+                                            <i class="fas fa-info-circle info-icon" data-tooltip="{{ t('settings.backup.retentionHelp') }}"></i>
+                                        </label>
+                                    </div>
+                                    <div class="setting-control">
+                                        <div class="text-input-wrapper">
+                                            <input
+                                                type="number"
+                                                id="backupRetentionCount"
+                                                min="1"
+                                                step="1"
+                                                onblur="settingsManager.saveInputSetting('backupRetentionCount', 'backup_retention_count')"
+                                                onkeydown="if(event.key === 'Enter') { this.blur(); }"
+                                            />
+                                        </div>
+                                    </div>
+                                </div>
+                            </div>
+                            <div class="setting-item">
+                                <div class="setting-row">
+                                    <div class="setting-info">
+                                        <label>
+                                            {{ t('settings.backup.management') }}
+                                            <i class="fas fa-info-circle info-icon" data-tooltip="{{ t('settings.backup.managementHelp') }}"></i>
+                                        </label>
+                                    </div>
+                                    <div class="setting-control">
+                                        <button type="button" class="secondary-btn" onclick="settingsManager.exportBackup()">
+                                            {{ t('settings.backup.exportButton') }}
+                                        </button>
+                                        <button type="button" class="secondary-btn" onclick="settingsManager.triggerBackupImport()" style="margin-left: 10px;">
+                                            {{ t('settings.backup.importButton') }}
+                                        </button>
+                                        <input
+                                            type="file"
+                                            id="backupImportInput"
+                                            accept=".zip,application/zip"
+                                            style="display: none;"
+                                            onchange="settingsManager.handleBackupImportFile(this)"
+                                        />
+                                    </div>
+                                </div>
+                            </div>
+                            <div class="setting-item">
+                                <details class="backup-location-details">
+                                    <summary>{{ t('settings.backup.locationSummary') }}</summary>
+                                    <div class="backup-location-panel">
+                                        <code id="backupLocationPath" class="backup-location-path"></code>
+                                        <button type="button" class="secondary-btn" id="backupOpenLocationBtn">
+                                            {{ t('settings.backup.openFolderButton') }}
+                                        </button>
+                                    </div>
+                                </details>
+                            </div>
+                            <div class="setting-item">
+                                <div class="backup-status" id="backupStatus">
+                                    <!-- Status will be populated by JavaScript -->
+                                </div>
+                            </div>
+                        </div>
                         
                         <!-- Proxy Settings -->
                         <div class="settings-subsection">
@@ -450,6 +540,7 @@
                                 </div>
                             </div>
                         </div>
+
                     </div>
                     
                     <!-- Section 3: Library -->
@@ -530,6 +621,32 @@
                                     </div>
                                 </div>
                             </div>
+
+                        </div>
+
+                        <!-- Recipe Settings -->
+                        <div class="settings-subsection">
+                            <div class="settings-subsection-header">
+                                <h4>{{ t('settings.sections.recipeSettings') }}</h4>
+                            </div>
+                            <div class="setting-item">
+                                <div class="setting-row">
+                                    <div class="setting-info">
+                                        <label for="recipesPath">
+                                        {{ t('settings.folderSettings.recipesPath') }}
+                                        <i class="fas fa-info-circle info-icon" data-tooltip="{{ t('settings.folderSettings.recipesPathHelp') }}"></i>
+                                    </label>
+                                    </div>
+                                    <div class="setting-control">
+                                        <div class="text-input-wrapper">
+                                            <input type="text" id="recipesPath"
+                                                   placeholder="{{ t('settings.folderSettings.recipesPathPlaceholder') }}"
+                                                   onblur="settingsManager.saveInputSetting('recipesPath', 'recipes_path')"
+                                                   onkeydown="if(event.key === 'Enter') { this.blur(); }" />
+                                        </div>
+                                    </div>
+                                </div>
+                            </div>
                         </div>
 
                         <!-- Extra Folder Paths -->
@@ -537,7 +654,7 @@
                             <div class="settings-subsection-header">
                                 <h4>
                                     {{ t('settings.extraFolderPaths.title') }}
-                                    <i class="fas fa-info-circle info-icon" data-tooltip="{{ t('settings.extraFolderPaths.help') }}"></i>
+                                    <i class="fas fa-sync-alt restart-required-icon" title="{{ t('settings.extraFolderPaths.restartRequired') }}"></i>
                                 </h4>
                             </div>
                             <div class="setting-item">
@@ -735,6 +852,24 @@
                                 </div>
                             </div>
 
+                            <div class="setting-item">
+                                <div class="setting-row">
+                                    <div class="setting-info">
+                                        <label for="skipPreviouslyDownloadedModelVersions">
+                                            {{ t('settings.skipPreviouslyDownloadedModelVersions.label') }}
+                                            <i class="fas fa-info-circle info-icon" data-tooltip="{{ t('settings.skipPreviouslyDownloadedModelVersions.help') }}"></i>
+                                        </label>
+                                    </div>
+                                    <div class="setting-control">
+                                        <label class="toggle-switch">
+                                            <input type="checkbox" id="skipPreviouslyDownloadedModelVersions"
+                                                   onchange="settingsManager.saveToggleSetting('skipPreviouslyDownloadedModelVersions', 'skip_previously_downloaded_model_versions')">
+                                            <span class="toggle-slider"></span>
+                                        </label>
+                                    </div>
+                                </div>
+                            </div>
+
                             <div class="setting-item">
                                 <div class="setting-row">
                                     <div class="setting-info">

templates/recipes.html

@@ -120,6 +120,13 @@
         </div>
 
         <div class="controls-right">
+            <div class="control-group doctor-control-group">
+                <button id="doctorTriggerBtn" class="doctor-trigger" title="{{ t('doctor.buttonTitle', default='Run diagnostics and common fixes') }}">
+                    <i class="fas fa-stethoscope"></i>
+                    <span>{{ t('doctor.title', default='Doctor') }}</span>
+                    <span id="doctorStatusBadge" class="doctor-status-badge hidden" aria-hidden="true"></span>
+                </button>
+            </div>
             <div class="keyboard-nav-hint tooltip">
                 <i class="fas fa-keyboard"></i>
                 <span class="tooltiptext">
@@ -189,4 +196,4 @@
 
 {% block main_script %}
 <script type="module" src="/loras_static/js/recipes.js?v={{ version }}"></script>
-{% endblock %}
+{% endblock %}

tests/frontend/api/recipeApi.bulk.test.js

@@ -4,7 +4,15 @@ const showToastMock = vi.hoisted(() => vi.fn());
 const loadingManagerMock = vi.hoisted(() => ({
   showSimpleLoading: vi.fn(),
   hide: vi.fn(),
+  restoreProgressBar: vi.fn(),
 }));
+const virtualScrollerMock = vi.hoisted(() => ({
+  updateSingleItem: vi.fn(),
+  refreshWithData: vi.fn(),
+}));
+const getCurrentPageStateMock = vi.hoisted(() => vi.fn());
+const captureScrollPositionMock = vi.hoisted(() => vi.fn());
+const restoreScrollPositionMock = vi.hoisted(() => vi.fn());
 
 vi.mock('../../../static/js/utils/uiHelpers.js', () => {
   return {
@@ -20,17 +28,41 @@ vi.mock('../../../static/js/state/index.js', () => {
   return {
     state: {
       loadingManager: loadingManagerMock,
+      virtualScroller: virtualScrollerMock,
     },
-    getCurrentPageState: vi.fn(),
+    getCurrentPageState: getCurrentPageStateMock,
   };
 });
 
-import { RecipeSidebarApiClient } from '../../../static/js/api/recipeApi.js';
+vi.mock('../../../static/js/utils/infiniteScroll.js', () => ({
+  captureScrollPosition: captureScrollPositionMock,
+  restoreScrollPosition: restoreScrollPositionMock,
+}));
+
+import {
+  RecipeSidebarApiClient,
+  fetchRecipeDetails,
+  resetAndReload,
+  syncChanges,
+  updateRecipeMetadata
+} from '../../../static/js/api/recipeApi.js';
 
 describe('RecipeSidebarApiClient bulk operations', () => {
   beforeEach(() => {
     vi.clearAllMocks();
     global.fetch = vi.fn();
+    getCurrentPageStateMock.mockReturnValue({
+      pageSize: 50,
+      currentPage: 1,
+      hasMore: true,
+      isLoading: false,
+      sortBy: 'date:desc',
+      showFavoritesOnly: false,
+      activeFolder: null,
+      searchOptions: { recursive: true },
+      customFilter: { active: false },
+      filters: {},
+    });
   });
 
   afterEach(() => {
@@ -111,4 +143,77 @@ describe('RecipeSidebarApiClient bulk operations', () => {
     });
     expect(loadingManagerMock.hide).toHaveBeenCalled();
   });
+
+  it('encodes recipe IDs when fetching recipe details', async () => {
+    global.fetch.mockResolvedValue({
+      ok: true,
+      json: async () => ({ id: 'abc' }),
+    });
+
+    await fetchRecipeDetails('recipe#1?name=foo%bar');
+
+    expect(global.fetch).toHaveBeenCalledWith('/api/lm/recipe/recipe%231%3Fname%3Dfoo%25bar');
+  });
+
+  it('updates the virtual scroller using the original list path when provided', async () => {
+    global.fetch.mockResolvedValue({
+      ok: true,
+      json: async () => ({ success: true }),
+    });
+
+    await updateRecipeMetadata(
+      '/recipes/new-folder/recipe#1.webp',
+      { title: 'Updated Title' },
+      { listFilePath: '/recipes/old-folder/recipe#1.webp' }
+    );
+
+    expect(global.fetch).toHaveBeenCalledWith(
+      '/api/lm/recipe/recipe%231/update',
+      expect.objectContaining({ method: 'PUT' })
+    );
+    expect(virtualScrollerMock.updateSingleItem).toHaveBeenCalledWith(
+      '/recipes/old-folder/recipe#1.webp',
+      { title: 'Updated Title' }
+    );
+  });
+
+  it('preserves scroll position for recipe reloads when requested', async () => {
+    const scrollSnapshot = { scrollContainer: { scrollTop: 480 }, scrollTop: 480 };
+    captureScrollPositionMock.mockReturnValue(scrollSnapshot);
+    global.fetch.mockResolvedValue({
+      ok: true,
+      json: async () => ({
+        items: [{ id: 'recipe-1' }],
+        total: 1,
+        total_pages: 1,
+      }),
+    });
+
+    await resetAndReload(false, { preserveScroll: true });
+
+    expect(captureScrollPositionMock).toHaveBeenCalledTimes(1);
+    expect(virtualScrollerMock.refreshWithData).toHaveBeenCalledWith(
+      [{ id: 'recipe-1' }],
+      1,
+      false
+    );
+    expect(restoreScrollPositionMock).toHaveBeenCalledWith(scrollSnapshot);
+  });
+
+  it('uses scroll-preserving reloads for syncChanges', async () => {
+    global.fetch.mockResolvedValue({
+      ok: true,
+      json: async () => ({
+        items: [],
+        total: 0,
+        total_pages: 0,
+      }),
+    });
+
+    await syncChanges();
+
+    expect(captureScrollPositionMock).toHaveBeenCalledTimes(1);
+    expect(restoreScrollPositionMock).toHaveBeenCalledTimes(1);
+    expect(loadingManagerMock.restoreProgressBar).toHaveBeenCalledTimes(1);
+  });
 });

tests/frontend/components/autocomplete.behavior.test.js

@@ -69,6 +69,9 @@ describe('AutoComplete widget interactions', () => {
       if (key === 'loramanager.autocomplete_append_comma') {
         return true;
       }
+      if (key === 'loramanager.autocomplete_auto_format') {
+        return true;
+      }
       if (key === 'loramanager.autocomplete_accept_key') {
         return 'both';
       }
@@ -123,6 +126,31 @@ describe('AutoComplete widget interactions', () => {
     expect(caretHelperInstance.getCursorOffset).toHaveBeenCalled();
   });
 
+  it('deduplicates duplicate-equivalent query variations before issuing requests', async () => {
+    vi.useFakeTimers();
+
+    fetchApiMock.mockResolvedValue({
+      json: () => Promise.resolve({ success: true, words: [] }),
+    });
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('Example');
+
+    const input = document.createElement('textarea');
+    document.body.append(input);
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    new AutoComplete(input, 'prompt', { debounceDelay: 0, showPreview: false, minChars: 1 });
+
+    input.value = 'Example';
+    input.dispatchEvent(new Event('input', { bubbles: true }));
+
+    await vi.runAllTimersAsync();
+    await Promise.resolve();
+
+    expect(fetchApiMock).toHaveBeenCalledTimes(1);
+    expect(fetchApiMock).toHaveBeenCalledWith('/lm/custom-words/search?enriched=true&search=Example&limit=100');
+  });
+
   it('inserts the selected LoRA with usage tip strengths and restores focus', async () => {
     fetchApiMock.mockImplementation((url) => {
       if (url.includes('usage-tips-by-path')) {
@@ -188,6 +216,106 @@ describe('AutoComplete widget interactions', () => {
     expect(insertSelectionSpy).toHaveBeenCalledWith('example_completion');
   });
 
+  it('formats duplicate commas and extra spaces when the textarea loses focus', async () => {
+    const input = document.createElement('textarea');
+    input.value = 'foo   bar, , baz  ,,   qux';
+    document.body.append(input);
+
+    const inputListener = vi.fn();
+    input.addEventListener('input', inputListener);
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    new AutoComplete(input,'prompt', { showPreview: false });
+
+    input.dispatchEvent(new Event('blur', { bubbles: true }));
+
+    expect(input.value).toBe('foo bar, baz, qux');
+    expect(inputListener).toHaveBeenCalledTimes(1);
+  });
+
+  it('skips blur formatting when autocomplete auto format is disabled', async () => {
+    settingGetMock.mockImplementation((key) => {
+      if (key === 'loramanager.autocomplete_append_comma') {
+        return true;
+      }
+      if (key === 'loramanager.autocomplete_auto_format') {
+        return false;
+      }
+      if (key === 'loramanager.autocomplete_accept_key') {
+        return 'both';
+      }
+      if (key === 'loramanager.prompt_tag_autocomplete') {
+        return true;
+      }
+      if (key === 'loramanager.tag_space_replacement') {
+        return false;
+      }
+      return undefined;
+    });
+
+    const input = document.createElement('textarea');
+    input.value = 'foo   bar, , baz  ,,   qux';
+    document.body.append(input);
+
+    const inputListener = vi.fn();
+    input.addEventListener('input', inputListener);
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    new AutoComplete(input,'prompt', { showPreview: false });
+
+    input.dispatchEvent(new Event('blur', { bubbles: true }));
+
+    expect(input.value).toBe('foo   bar, , baz  ,,   qux');
+    expect(inputListener).not.toHaveBeenCalled();
+  });
+
+  it('shows the full command list when typing a single slash', async () => {
+    const input = document.createElement('textarea');
+    input.value = '/';
+    input.selectionStart = input.value.length;
+    document.body.append(input);
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('/');
+    caretHelperInstance.getCursorOffset.mockReturnValue({ left: 15, top: 25 });
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', { showPreview: false, minChars: 1 });
+
+    input.dispatchEvent(new Event('input', { bubbles: true }));
+
+    const commandNames = autoComplete.items.map((item) => item.command);
+
+    expect(commandNames).toContain('/character');
+    expect(commandNames).toContain('/artist');
+    expect(commandNames).toContain('/general');
+    expect(commandNames).toContain('/copyright');
+    expect(commandNames).toContain('/meta');
+    expect(commandNames).toContain('/species');
+    expect(commandNames).toContain('/lore');
+    expect(commandNames).toContain('/emb');
+    expect(commandNames).toContain('/embedding');
+    expect(commandNames).toContain('/wildcard');
+  });
+
+  it('renders every command item when slash opens the command list', async () => {
+    const input = document.createElement('textarea');
+    input.value = '/';
+    input.selectionStart = input.value.length;
+    document.body.append(input);
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('/');
+    caretHelperInstance.getCursorOffset.mockReturnValue({ left: 15, top: 25 });
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input, 'prompt', { showPreview: false, minChars: 1 });
+
+    input.dispatchEvent(new Event('input', { bubbles: true }));
+
+    const renderedCommands = autoComplete.contentContainer.querySelectorAll('.lm-autocomplete-command-name');
+
+    expect(renderedCommands).toHaveLength(autoComplete.items.length);
+  });
+
   it('accepts the selected suggestion with Enter', async () => {
     caretHelperInstance.getBeforeCursor.mockReturnValue('example');
 
@@ -244,6 +372,66 @@ describe('AutoComplete widget interactions', () => {
     expect(insertSelectionSpy).toHaveBeenCalledWith('loop');
   });
 
+  it('preserves manual ArrowDown selection when Tab accepts a suggestion', async () => {
+    caretHelperInstance.getBeforeCursor.mockReturnValue('loop');
+
+    const input = document.createElement('textarea');
+    input.value = 'loop';
+    input.selectionStart = input.value.length;
+    input.focus = vi.fn();
+    input.setSelectionRange = vi.fn();
+    document.body.append(input);
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', { showPreview: false, minChars: 1 });
+
+    autoComplete.searchType = 'custom_words';
+    autoComplete.items = [
+      { tag_name: 'looking_to_the_side', category: 0, post_count: 1000 },
+      { tag_name: 'loop', category: 0, post_count: 500 },
+    ];
+    autoComplete.currentSearchTerm = 'loo';
+    autoComplete.selectedIndex = 0;
+    autoComplete.isVisible = true;
+    const insertSelectionSpy = vi.spyOn(autoComplete,'insertSelection').mockResolvedValue();
+
+    input.dispatchEvent(new KeyboardEvent('keydown', { key: 'ArrowDown', bubbles: true }));
+    input.dispatchEvent(new KeyboardEvent('keydown', { key: 'Tab', bubbles: true, cancelable: true }));
+
+    expect(autoComplete.selectedIndex).toBe(1);
+    expect(insertSelectionSpy).toHaveBeenCalledWith('loop');
+  });
+
+  it('preserves manual ArrowDown selection when Enter accepts a suggestion', async () => {
+    caretHelperInstance.getBeforeCursor.mockReturnValue('loop');
+
+    const input = document.createElement('textarea');
+    input.value = 'loop';
+    input.selectionStart = input.value.length;
+    input.focus = vi.fn();
+    input.setSelectionRange = vi.fn();
+    document.body.append(input);
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', { showPreview: false, minChars: 1 });
+
+    autoComplete.searchType = 'custom_words';
+    autoComplete.items = [
+      { tag_name: 'looking_to_the_side', category: 0, post_count: 1000 },
+      { tag_name: 'loop', category: 0, post_count: 500 },
+    ];
+    autoComplete.currentSearchTerm = 'loo';
+    autoComplete.selectedIndex = 0;
+    autoComplete.isVisible = true;
+    const insertSelectionSpy = vi.spyOn(autoComplete,'insertSelection').mockResolvedValue();
+
+    input.dispatchEvent(new KeyboardEvent('keydown', { key: 'ArrowDown', bubbles: true }));
+    input.dispatchEvent(new KeyboardEvent('keydown', { key: 'Enter', bubbles: true, cancelable: true }));
+
+    expect(autoComplete.selectedIndex).toBe(1);
+    expect(insertSelectionSpy).toHaveBeenCalledWith('loop');
+  });
+
   it('accepts the first available suggestion with Tab even if delayed auto-selection has not happened yet', async () => {
     caretHelperInstance.getBeforeCursor.mockReturnValue('loop');
 
@@ -275,6 +463,9 @@ describe('AutoComplete widget interactions', () => {
       if (key === 'loramanager.autocomplete_append_comma') {
         return true;
       }
+      if (key === 'loramanager.autocomplete_auto_format') {
+        return true;
+      }
       if (key === 'loramanager.autocomplete_accept_key') {
         return 'tab_only';
       }
@@ -322,6 +513,9 @@ describe('AutoComplete widget interactions', () => {
       if (key === 'loramanager.autocomplete_append_comma') {
         return true;
       }
+      if (key === 'loramanager.autocomplete_auto_format') {
+        return true;
+      }
       if (key === 'loramanager.autocomplete_accept_key') {
         return 'enter_only';
       }
@@ -681,12 +875,12 @@ describe('AutoComplete widget interactions', () => {
       json: () => Promise.resolve({ success: true, words: mockTags }),
     });
 
-    // Simulate "/char looking to the side" input
-    caretHelperInstance.getBeforeCursor.mockReturnValue('/char looking to the side');
+    // Simulate "/character looking to the side" input
+    caretHelperInstance.getBeforeCursor.mockReturnValue('/character looking to the side');
     caretHelperInstance.getCursorOffset.mockReturnValue({ left: 15, top: 25 });
 
     const input = document.createElement('textarea');
-    input.value = '/char looking to the side';
+    input.value = '/character looking to the side';
     input.selectionStart = input.value.length;
     input.focus = vi.fn();
     input.setSelectionRange = vi.fn();
@@ -704,7 +898,7 @@ describe('AutoComplete widget interactions', () => {
     autoComplete.activeCommand = { categories: [4, 11], label: 'Character' };
     autoComplete.items = mockTags;
     autoComplete.selectedIndex = 0;
-    autoComplete.currentSearchTerm = '/char looking to the side';
+    autoComplete.currentSearchTerm = '/character looking to the side';
 
     await autoComplete.insertSelection('looking_to_the_side');
 
@@ -1011,6 +1205,253 @@ describe('AutoComplete widget interactions', () => {
     expect(fetchApiMock).toHaveBeenCalledWith('/lm/custom-words/search?enriched=true&search=cat&limit=100');
   });
 
+  it('searches wildcard keys when using the /wildcard command', async () => {
+    vi.useFakeTimers();
+
+    fetchApiMock.mockResolvedValue({
+      json: () => Promise.resolve({
+        success: true,
+        words: ['animals/cat'],
+        meta: {
+          has_wildcards: true,
+          wildcards_dir: '/tmp/settings/wildcards',
+          supported_formats: ['.txt', '.yaml', '.yml', '.json'],
+        },
+      }),
+    });
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('/wildcard cat');
+    caretHelperInstance.getCursorOffset.mockReturnValue({ left: 15, top: 25 });
+
+    const input = document.createElement('textarea');
+    input.value = '/wildcard cat';
+    input.selectionStart = input.value.length;
+    document.body.append(input);
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', {
+      debounceDelay: 0,
+      showPreview: false,
+      minChars: 1,
+    });
+
+    fetchApiMock.mockClear();
+    input.dispatchEvent(new Event('input', { bubbles: true }));
+    await vi.runAllTimersAsync();
+    await Promise.resolve();
+
+    expect(fetchApiMock).toHaveBeenCalledWith('/lm/wildcards/search?search=cat&limit=100');
+    expect(autoComplete.searchType).toBe('wildcards');
+    expect(autoComplete.items).toEqual(['animals/cat']);
+  });
+
+  it('shows wildcard onboarding when /wildcard is used before any files exist', async () => {
+    vi.useFakeTimers();
+
+    fetchApiMock.mockResolvedValue({
+      json: () => Promise.resolve({
+        success: true,
+        words: [],
+        meta: {
+          has_wildcards: false,
+          wildcards_dir: '/tmp/settings/wildcards',
+          supported_formats: ['.txt', '.yaml', '.yml', '.json'],
+        },
+      }),
+    });
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('/wildcard cat');
+    caretHelperInstance.getCursorOffset.mockReturnValue({ left: 15, top: 25 });
+
+    const input = document.createElement('textarea');
+    input.value = '/wildcard cat';
+    input.selectionStart = input.value.length;
+    document.body.append(input);
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', {
+      debounceDelay: 0,
+      showPreview: false,
+      minChars: 1,
+    });
+
+    input.dispatchEvent(new Event('input', { bubbles: true }));
+    await vi.runAllTimersAsync();
+    await Promise.resolve();
+
+    expect(autoComplete.isVisible).toBe(true);
+    expect(autoComplete.items).toHaveLength(1);
+    expect(autoComplete.items[0].type).toBe('wildcard_empty_state');
+    expect(autoComplete.dropdown.textContent).toContain('No wildcards found yet');
+    expect(autoComplete.dropdown.textContent).toContain('/tmp/settings/wildcards');
+    expect(autoComplete.dropdown.textContent).toContain('.txt, .yaml, .yml, .json');
+  });
+
+  it('shows wildcard onboarding when only the /wildcard command is entered', async () => {
+    vi.useFakeTimers();
+
+    fetchApiMock.mockResolvedValue({
+      json: () => Promise.resolve({
+        success: true,
+        words: [],
+        meta: {
+          has_wildcards: false,
+          wildcards_dir: '/tmp/settings/wildcards',
+          supported_formats: ['.txt', '.yaml', '.yml', '.json'],
+        },
+      }),
+    });
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('/wildcard ');
+    caretHelperInstance.getCursorOffset.mockReturnValue({ left: 15, top: 25 });
+
+    const input = document.createElement('textarea');
+    input.value = '/wildcard ';
+    input.selectionStart = input.value.length;
+    document.body.append(input);
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', {
+      debounceDelay: 0,
+      showPreview: false,
+      minChars: 1,
+    });
+
+    input.dispatchEvent(new Event('input', { bubbles: true }));
+    await vi.runAllTimersAsync();
+    await Promise.resolve();
+
+    expect(fetchApiMock).toHaveBeenCalledWith('/lm/wildcards/search?search=&limit=100');
+    expect(autoComplete.isVisible).toBe(true);
+    expect(autoComplete.items).toHaveLength(1);
+    expect(autoComplete.items[0].type).toBe('wildcard_empty_state');
+    expect(autoComplete.dropdown.textContent).toContain('No wildcards found yet');
+  });
+
+  it('shows a lightweight no-match state when wildcard files exist but search misses', async () => {
+    vi.useFakeTimers();
+
+    fetchApiMock.mockResolvedValue({
+      json: () => Promise.resolve({
+        success: true,
+        words: [],
+        meta: {
+          has_wildcards: true,
+          wildcards_dir: '/tmp/settings/wildcards',
+          supported_formats: ['.txt', '.yaml', '.yml', '.json'],
+        },
+      }),
+    });
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('/wildcard dragon');
+    caretHelperInstance.getCursorOffset.mockReturnValue({ left: 15, top: 25 });
+
+    const input = document.createElement('textarea');
+    input.value = '/wildcard dragon';
+    input.selectionStart = input.value.length;
+    document.body.append(input);
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', {
+      debounceDelay: 0,
+      showPreview: false,
+      minChars: 1,
+    });
+
+    input.dispatchEvent(new Event('input', { bubbles: true }));
+    await vi.runAllTimersAsync();
+    await Promise.resolve();
+
+    expect(autoComplete.items).toHaveLength(1);
+    expect(autoComplete.items[0].type).toBe('wildcard_no_matches');
+    expect(autoComplete.dropdown.textContent).toContain('No wildcard matches');
+    expect(autoComplete.dropdown.textContent).not.toContain('Open wildcards folder');
+  });
+
+  it('inserts wildcard references when accepting a /wildcard result', async () => {
+    caretHelperInstance.getBeforeCursor.mockReturnValue('/wildcard animals/cat');
+
+    const input = document.createElement('textarea');
+    input.value = '/wildcard animals/cat';
+    input.selectionStart = input.value.length;
+    input.focus = vi.fn();
+    input.setSelectionRange = vi.fn();
+    document.body.append(input);
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', {
+      debounceDelay: 0,
+      showPreview: false,
+      minChars: 1,
+    });
+
+    autoComplete.searchType = 'wildcards';
+    autoComplete.activeCommand = { type: 'wildcard', label: 'Wildcards' };
+    autoComplete.items = ['animals/cat'];
+    autoComplete.selectedIndex = 0;
+
+    await autoComplete.insertSelection('animals/cat');
+
+    expect(input.value).toBe('__animals/cat__,');
+    expect(input.focus).toHaveBeenCalled();
+    expect(input.setSelectionRange).toHaveBeenCalled();
+  });
+
+  it('does not reopen autocomplete on blur after inserting a wildcard literal', async () => {
+    const input = document.createElement('textarea');
+    input.value = '__flower__,';
+    input.selectionStart = input.value.length;
+    document.body.append(input);
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('__flower__,');
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', {
+      debounceDelay: 0,
+      showPreview: false,
+      minChars: 1,
+    });
+
+    const hideSpy = vi.spyOn(autoComplete, 'hide');
+    input.dispatchEvent(new Event('blur', { bubbles: true }));
+
+    expect(fetchApiMock).not.toHaveBeenCalled();
+    expect(hideSpy).toHaveBeenCalled();
+    expect(autoComplete.isVisible).toBe(false);
+  });
+
+  it('treats a command after a wildcard literal as the active token', async () => {
+    vi.useFakeTimers();
+
+    fetchApiMock.mockResolvedValue({
+      json: () => Promise.resolve({
+        success: true,
+        words: [{ tag_name: 'flower_field', category: 4, post_count: 1234 }],
+      }),
+    });
+
+    const input = document.createElement('textarea');
+    input.value = '__flower__ /character f';
+    input.selectionStart = input.value.length;
+    document.body.append(input);
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('__flower__ /character f');
+    caretHelperInstance.getCursorOffset.mockReturnValue({ left: 15, top: 25 });
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', {
+      debounceDelay: 0,
+      showPreview: false,
+      minChars: 1,
+    });
+
+    input.dispatchEvent(new Event('input', { bubbles: true }));
+    await vi.runAllTimersAsync();
+    await Promise.resolve();
+
+    expect(autoComplete.getSearchTerm(input.value)).toBe('/character f');
+  });
+
   it('invalidates stale autocomplete metadata and falls back to delimiter-based matching', async () => {
     settingGetMock.mockImplementation((key) => {
       if (key === 'loramanager.autocomplete_append_comma') {

tests/frontend/components/modelVersionsTab.media.test.js

@@ -349,4 +349,59 @@ describe('ModelVersionsTab media rendering', () => {
     );
     expect(firstBadges).toContain('Newer Version');
   });
+
+  it('shows downloaded badge only for previously downloaded versions that are not in library', async () => {
+    fetchModelUpdateVersions.mockResolvedValue({
+      success: true,
+      record: {
+        shouldIgnore: false,
+        inLibraryVersionIds: [8],
+        versions: [
+          {
+            versionId: 9,
+            name: 'History only',
+            baseModel: 'SDXL',
+            previewUrl: '/api/lm/previews/v9.png',
+            sizeBytes: 1024,
+            isInLibrary: false,
+            hasBeenDownloaded: true,
+            shouldIgnore: false,
+          },
+          {
+            versionId: 8,
+            name: 'Local copy',
+            baseModel: 'SDXL',
+            previewUrl: '/api/lm/previews/v8.png',
+            sizeBytes: 2048,
+            isInLibrary: true,
+            hasBeenDownloaded: true,
+            shouldIgnore: false,
+          },
+        ],
+      },
+    });
+
+    const { initVersionsTab } = await import(MODEL_VERSIONS_MODULE);
+    const controller = initVersionsTab({
+      modalId: 'model-versions-modal',
+      modelType: 'loras',
+      modelId: 654,
+      currentVersionId: 8,
+    });
+
+    await controller.load();
+
+    const rows = document.querySelectorAll('.model-version-row');
+    const historyBadges = Array.from(rows[0].querySelectorAll('.version-badge')).map(
+      badge => badge.textContent?.trim()
+    );
+    const localBadges = Array.from(rows[1].querySelectorAll('.version-badge')).map(
+      badge => badge.textContent?.trim()
+    );
+
+    expect(historyBadges).toContain('Downloaded');
+    expect(historyBadges).not.toContain('In Library');
+    expect(localBadges).toContain('In Library');
+    expect(localBadges).not.toContain('Downloaded');
+  });
 });

tests/frontend/core/appCore.test.js

@@ -50,6 +50,12 @@ vi.mock('../../../static/js/managers/HelpManager.js', () => ({
   },
 }));
 
+vi.mock('../../../static/js/managers/DoctorManager.js', () => ({
+  doctorManager: {
+    initialize: vi.fn(),
+  },
+}));
+
 vi.mock('../../../static/js/managers/BannerService.js', () => ({
   bannerService: {
     initialize: vi.fn(),
@@ -103,6 +109,7 @@ import { moveManager } from '../../../static/js/managers/MoveManager.js';
 import { bulkManager } from '../../../static/js/managers/BulkManager.js';
 import { ExampleImagesManager } from '../../../static/js/managers/ExampleImagesManager.js';
 import { helpManager } from '../../../static/js/managers/HelpManager.js';
+import { doctorManager } from '../../../static/js/managers/DoctorManager.js';
 import { bannerService } from '../../../static/js/managers/BannerService.js';
 import { initTheme, initBackToTop } from '../../../static/js/utils/uiHelpers.js';
 import { onboardingManager } from '../../../static/js/managers/OnboardingManager.js';
@@ -187,6 +194,7 @@ describe('AppCore initialization flow', () => {
     delete window.helpManager;
     delete window.moveManager;
     delete window.bulkManager;
+    delete window.doctorManager;
     delete window.headerManager;
     delete window.i18n;
     delete window.pageContextMenu;
@@ -214,6 +222,7 @@ describe('AppCore initialization flow', () => {
     expect(bannerService.initialize).toHaveBeenCalledTimes(1);
     expect(window.modalManager).toBe(modalManager);
     expect(window.settingsManager).toBe(settingsManager);
+    expect(window.doctorManager).toBe(doctorManager);
     expect(window.moveManager).toBe(moveManager);
     expect(window.bulkManager).toBe(bulkManager);
     expect(HeaderManager).toHaveBeenCalledTimes(1);
@@ -227,6 +236,7 @@ describe('AppCore initialization flow', () => {
     expect(window.exampleImagesManager).toBe(exampleImagesManagerInstance);
     expect(exampleImagesManagerInitialize).toHaveBeenCalledTimes(1);
     expect(helpManager.initialize).toHaveBeenCalledTimes(1);
+    expect(doctorManager.initialize).toHaveBeenCalledTimes(1);
     expect(document.body.classList.contains('hover-reveal')).toBe(true);
     expect(initializeEventManagement).toHaveBeenCalledTimes(1);
     expect(onboardingManager.start).not.toHaveBeenCalled();

tests/frontend/managers/DoctorManager.test.js

@@ -0,0 +1,78 @@
+import { beforeEach, describe, expect, it, vi } from 'vitest';
+import { mountMarkup, resetDom } from '../utils/domFixtures.js';
+
+vi.mock('../../../static/js/managers/ModalManager.js', () => ({
+  modalManager: {
+    showModal: vi.fn(),
+  },
+}));
+
+vi.mock('../../../static/js/utils/uiHelpers.js', () => ({
+  showToast: vi.fn(),
+}));
+
+vi.mock('../../../static/js/utils/i18nHelpers.js', () => ({
+  translate: vi.fn((key, _params, fallback) => fallback || key),
+}));
+
+vi.mock('../../../static/js/components/shared/utils.js', () => ({
+  escapeHtml: vi.fn((value) => String(value)),
+}));
+
+import { DoctorManager } from '../../../static/js/managers/DoctorManager.js';
+
+function renderDoctorFixture() {
+  mountMarkup(`
+    <button id="doctorTriggerBtn"></button>
+    <span id="doctorStatusBadge" class="hidden"></span>
+    <div id="doctorModal"></div>
+    <div id="doctorIssuesList"></div>
+    <div id="doctorSummaryText"></div>
+    <div id="doctorSummaryBadge"></div>
+    <div id="doctorLoadingState"></div>
+    <button id="doctorRefreshBtn"></button>
+    <button id="doctorExportBtn"></button>
+  `);
+  document.body.dataset.appVersion = '1.2.3-test';
+}
+
+describe('DoctorManager', () => {
+  beforeEach(() => {
+    resetDom();
+    vi.clearAllMocks();
+    delete window.__lmDoctorConsolePatched;
+    delete window.__lmDoctorConsoleEntries;
+  });
+
+  it('does not run diagnostics during initialize', () => {
+    renderDoctorFixture();
+    const manager = new DoctorManager();
+    const refreshSpy = vi.spyOn(manager, 'refreshDiagnostics').mockResolvedValue(undefined);
+
+    manager.initialize();
+
+    expect(refreshSpy).not.toHaveBeenCalled();
+  });
+
+  it('builds a cache-busted reload URL that preserves the current location', () => {
+    renderDoctorFixture();
+    window.history.replaceState({}, '', '/loras?filter=active#details');
+    vi.spyOn(Date, 'now').mockReturnValue(1234567890);
+
+    const manager = new DoctorManager();
+
+    const url = manager.buildReloadUrl();
+
+    expect(url).toBe('http://localhost:3000/loras?filter=active&_lm_reload=1234567890#details');
+  });
+
+  it('delegates reload-page actions to reloadUi', async () => {
+    renderDoctorFixture();
+    const manager = new DoctorManager();
+    const reloadSpy = vi.spyOn(manager, 'reloadUi').mockImplementation(() => undefined);
+
+    await manager.handleAction('reload-page');
+
+    expect(reloadSpy).toHaveBeenCalledTimes(1);
+  });
+});

tests/frontend/managers/downloadManager.history.test.js

@@ -0,0 +1,139 @@
+import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest';
+
+const {
+  DOWNLOAD_MANAGER_MODULE,
+  MODAL_MANAGER_MODULE,
+  UI_HELPERS_MODULE,
+  STATE_MODULE,
+  LOADING_MANAGER_MODULE,
+  API_FACTORY_MODULE,
+  STORAGE_HELPERS_MODULE,
+  FOLDER_TREE_MANAGER_MODULE,
+  I18N_HELPERS_MODULE,
+} = vi.hoisted(() => ({
+  DOWNLOAD_MANAGER_MODULE: new URL('../../../static/js/managers/DownloadManager.js', import.meta.url).pathname,
+  MODAL_MANAGER_MODULE: new URL('../../../static/js/managers/ModalManager.js', import.meta.url).pathname,
+  UI_HELPERS_MODULE: new URL('../../../static/js/utils/uiHelpers.js', import.meta.url).pathname,
+  STATE_MODULE: new URL('../../../static/js/state/index.js', import.meta.url).pathname,
+  LOADING_MANAGER_MODULE: new URL('../../../static/js/managers/LoadingManager.js', import.meta.url).pathname,
+  API_FACTORY_MODULE: new URL('../../../static/js/api/modelApiFactory.js', import.meta.url).pathname,
+  STORAGE_HELPERS_MODULE: new URL('../../../static/js/utils/storageHelpers.js', import.meta.url).pathname,
+  FOLDER_TREE_MANAGER_MODULE: new URL('../../../static/js/components/FolderTreeManager.js', import.meta.url).pathname,
+  I18N_HELPERS_MODULE: new URL('../../../static/js/utils/i18nHelpers.js', import.meta.url).pathname,
+}));
+
+vi.mock(MODAL_MANAGER_MODULE, () => ({
+  modalManager: {
+    showModal: vi.fn(),
+    closeModal: vi.fn(),
+  },
+}));
+
+vi.mock(UI_HELPERS_MODULE, () => ({
+  showToast: vi.fn(),
+}));
+
+vi.mock(STATE_MODULE, () => ({
+  state: {
+    global: {
+      settings: {},
+    },
+  },
+}));
+
+vi.mock(LOADING_MANAGER_MODULE, () => ({
+  LoadingManager: vi.fn(() => ({
+    showSimpleLoading: vi.fn(),
+    hide: vi.fn(),
+    restoreProgressBar: vi.fn(),
+    showDownloadProgress: vi.fn(() => vi.fn()),
+    setStatus: vi.fn(),
+  })),
+}));
+
+vi.mock(API_FACTORY_MODULE, () => ({
+  getModelApiClient: vi.fn(() => ({
+    apiConfig: {
+      config: {
+        displayName: 'LoRA',
+        singularName: 'lora',
+      },
+    },
+  })),
+  resetAndReload: vi.fn(),
+}));
+
+vi.mock(STORAGE_HELPERS_MODULE, () => ({
+  getStorageItem: vi.fn((_key, defaultValue) => defaultValue),
+  setStorageItem: vi.fn(),
+}));
+
+vi.mock(FOLDER_TREE_MANAGER_MODULE, () => ({
+  FolderTreeManager: vi.fn(() => ({
+    clearSelection: vi.fn(),
+    init: vi.fn(),
+  })),
+}));
+
+vi.mock(I18N_HELPERS_MODULE, () => ({
+  translate: vi.fn((_, __, fallback) => fallback ?? ''),
+}));
+
+describe('DownloadManager version history badges', () => {
+  let DownloadManager;
+
+  beforeEach(async () => {
+    vi.resetModules();
+    document.body.innerHTML = `
+      <div id="urlStep"></div>
+      <div id="versionStep"></div>
+      <div id="versionList"></div>
+      <button id="nextFromVersion"></button>
+    `;
+    ({ DownloadManager } = await import(DOWNLOAD_MANAGER_MODULE));
+  });
+
+  afterEach(() => {
+    document.body.innerHTML = '';
+  });
+
+  it('shows downloaded badge only for versions missing locally', () => {
+    const manager = new DownloadManager();
+    manager.versions = [
+      {
+        id: 101,
+        name: 'History only',
+        images: [],
+        files: [{ sizeKB: 2048 }],
+        createdAt: '2026-01-01T00:00:00Z',
+        existsLocally: false,
+        hasBeenDownloaded: true,
+      },
+      {
+        id: 102,
+        name: 'Still local',
+        images: [],
+        files: [{ sizeKB: 2048 }],
+        createdAt: '2026-01-01T00:00:00Z',
+        existsLocally: true,
+        hasBeenDownloaded: true,
+        localPath: '/models/still-local.safetensors',
+      },
+    ];
+
+    manager.showVersionStep();
+
+    const items = document.querySelectorAll('.version-item');
+    expect(items).toHaveLength(2);
+
+    expect(items[0].querySelector('.downloaded-badge')?.textContent).toContain('Downloaded');
+    expect(items[0].querySelector('.downloaded-badge')?.getAttribute('title')).toContain(
+      'Previously downloaded, but it is not currently in your library.'
+    );
+    expect(items[0].querySelector('.local-badge')).toBeNull();
+
+    expect(items[1].querySelector('.local-badge')).not.toBeNull();
+    expect(items[1].querySelector('.local-path')?.textContent).toContain('/models/still-local.safetensors');
+    expect(items[1].querySelector('.downloaded-badge')).toBeNull();
+  });
+});

tests/frontend/managers/settingsManager.downloadSkipBaseModels.test.js

@@ -20,6 +20,7 @@ vi.mock('../../../static/js/state/index.js', () => {
         },
         createDefaultSettings: () => ({
             language: 'en',
+            skip_previously_downloaded_model_versions: false,
             download_skip_base_models: [],
         }),
     };
@@ -117,6 +118,7 @@ describe('SettingsManager download skip base models UI', () => {
         document.body.innerHTML = '';
         vi.clearAllMocks();
         state.global.settings = {
+            skip_previously_downloaded_model_versions: false,
             download_skip_base_models: [],
         };
     });
@@ -150,4 +152,31 @@ describe('SettingsManager download skip base models UI', () => {
         expect(document.querySelectorAll('#downloadSkipBaseModelsContainer input')).toHaveLength(0);
         expect(document.getElementById('downloadSkipBaseModelsEmpty').hidden).toBe(false);
     });
+
+    it('initializes the previously-downloaded-version toggle from settings', () => {
+        document.body.innerHTML = '<input id="skipPreviouslyDownloadedModelVersions" type="checkbox" />';
+        state.global.settings.skip_previously_downloaded_model_versions = true;
+        const manager = createManager();
+
+        manager.loadSettingsToUI();
+
+        expect(document.getElementById('skipPreviouslyDownloadedModelVersions').checked).toBe(true);
+    });
+
+    it('saves the previously-downloaded-version toggle with the expected setting key', async () => {
+        document.body.innerHTML = '<input id="skipPreviouslyDownloadedModelVersions" type="checkbox" checked />';
+        const manager = createManager();
+        manager.saveSetting = vi.fn().mockResolvedValue();
+        manager.applyFrontendSettings = vi.fn();
+
+        await manager.saveToggleSetting(
+            'skipPreviouslyDownloadedModelVersions',
+            'skip_previously_downloaded_model_versions',
+        );
+
+        expect(manager.saveSetting).toHaveBeenCalledWith(
+            'skip_previously_downloaded_model_versions',
+            true,
+        );
+    });
 });

tests/frontend/managers/settingsManager.library.test.js

@@ -96,6 +96,7 @@ beforeEach(() => {
 });
 
 afterEach(() => {
+    vi.useRealTimers();
     delete global.fetch;
     delete document.hidden;
     Object.defineProperty(window, 'location', {
@@ -205,4 +206,103 @@ describe('SettingsManager library controls', () => {
         expect(select.value).toBe('alpha');
         expect(activateSpy).not.toHaveBeenCalled();
     });
+
+    it('loads recipes_path into the settings input', async () => {
+        const manager = createManager();
+        const input = document.createElement('input');
+        input.id = 'recipesPath';
+        document.body.appendChild(input);
+
+        global.fetch = vi.fn().mockResolvedValue({
+            ok: true,
+            json: async () => ({
+                success: true,
+                isAvailable: false,
+                isEnabled: false,
+                databaseSize: 0,
+            }),
+        });
+
+        state.global.settings = {
+            recipes_path: '/custom/recipes',
+        };
+
+        await manager.loadSettingsToUI();
+
+        expect(input.value).toBe('/custom/recipes');
+    });
+
+    it('does not autofocus empty extra folder path rows during initial settings load', async () => {
+        vi.useFakeTimers();
+
+        const manager = createManager();
+        document.body.innerHTML = `
+            <div id="extraFolderPaths-loras"></div>
+            <div id="extraFolderPaths-checkpoints"></div>
+            <div id="extraFolderPaths-unet"></div>
+            <div id="extraFolderPaths-embeddings"></div>
+        `;
+
+        vi.spyOn(manager, 'loadMetadataArchiveSettings').mockResolvedValue();
+        vi.spyOn(manager, 'loadBackupSettings').mockResolvedValue();
+        vi.spyOn(manager, 'loadLibraries').mockResolvedValue();
+        vi.spyOn(manager, 'loadLoraRoots').mockResolvedValue();
+        vi.spyOn(manager, 'loadCheckpointRoots').mockResolvedValue();
+        vi.spyOn(manager, 'loadUnetRoots').mockResolvedValue();
+        vi.spyOn(manager, 'loadEmbeddingRoots').mockResolvedValue();
+
+        const focusSpy = vi.spyOn(HTMLElement.prototype, 'focus').mockImplementation(() => {});
+
+        state.global.settings = {
+            extra_folder_paths: {},
+        };
+
+        await manager.loadSettingsToUI();
+        await vi.runAllTimersAsync();
+
+        expect(focusSpy).not.toHaveBeenCalled();
+    });
+
+    it('still focuses an extra folder path row when it is added explicitly', async () => {
+        vi.useFakeTimers();
+
+        const manager = createManager();
+        document.body.innerHTML = '<div id="extraFolderPaths-embeddings"></div>';
+
+        const focusSpy = vi.spyOn(HTMLElement.prototype, 'focus').mockImplementation(() => {});
+
+        manager.addExtraFolderPathRow('embeddings', '');
+        await vi.runAllTimersAsync();
+
+        expect(focusSpy).toHaveBeenCalledTimes(1);
+    });
+
+    it('shows loading while saving recipes_path', async () => {
+        const manager = createManager();
+        const input = document.createElement('input');
+        input.id = 'recipesPath';
+        input.value = '/custom/recipes';
+        document.body.appendChild(input);
+
+        state.global.settings = {
+            recipes_path: '',
+        };
+
+        global.fetch = vi.fn().mockResolvedValue({
+            ok: true,
+            json: async () => ({ success: true }),
+        });
+
+        await manager.saveInputSetting('recipesPath', 'recipes_path');
+
+        expect(state.loadingManager.showSimpleLoading).toHaveBeenCalledWith(
+            'Migrating recipes...'
+        );
+        expect(state.loadingManager.hide).toHaveBeenCalledTimes(1);
+        expect(showToast).toHaveBeenCalledWith(
+            'toast.settings.recipesPathUpdated',
+            {},
+            'success',
+        );
+    });
 });

tests/frontend/pages/recipesPage.test.js

@@ -212,6 +212,19 @@ describe('RecipeManager', () => {
     expect(refreshVirtualScrollMock).toHaveBeenCalledTimes(1);
   });
 
+  it('supports preserve-scroll options while keeping boolean compatibility', async () => {
+    const manager = new RecipeManager();
+
+    await manager.loadRecipes({ preserveScroll: true });
+    expect(refreshVirtualScrollMock).toHaveBeenNthCalledWith(1, { preserveScroll: true });
+
+    await manager.loadRecipes(false);
+    expect(refreshVirtualScrollMock).toHaveBeenCalledTimes(1);
+
+    await manager.loadRecipes({ resetPage: true, preserveScroll: false });
+    expect(refreshVirtualScrollMock).toHaveBeenNthCalledWith(2, { preserveScroll: false });
+  });
+
   it('proxies duplicate management and refresh helpers', async () => {
     const manager = new RecipeManager();
 

tests/frontend/utils/civitaiUtils.test.js

@@ -94,6 +94,37 @@ describe('civitaiUtils', () => {
             expect(wasRewritten).toBe(false);
             expect(rewritten).toBe('not-a-valid-url');
         });
+
+        it('should rewrite URLs from CivitAI CDN subdomains', () => {
+            const originalUrl = 'https://image-b2.civitai.com/file/civitai-media-cache/original=true/sample.png';
+            const [rewritten, wasRewritten] = rewriteCivitaiUrl(originalUrl, 'image', OptimizationMode.THUMBNAIL);
+
+            expect(wasRewritten).toBe(true);
+            expect(rewritten).toBe('https://image-b2.civitai.com/file/civitai-media-cache/width=450,optimized=true/sample.png');
+        });
+
+        it('should handle URLs with explicit port numbers', () => {
+            const originalUrl = 'https://image.civitai.com:443/checkpoints/original=true/test.png';
+            const [rewritten, wasRewritten] = rewriteCivitaiUrl(originalUrl, 'image', OptimizationMode.THUMBNAIL);
+
+            expect(wasRewritten).toBe(true);
+            // JavaScript URL.toString() removes default HTTPS port (443)
+            expect(rewritten).toBe('https://image.civitai.com/checkpoints/width=450,optimized=true/test.png');
+        });
+
+        it('should handle case-insensitive hostnames', () => {
+            const testCases = [
+                'https://IMAGE.CIVITAI.COM/original=true/test.png',
+                'https://Image.Civitai.Com/original=true/test.png',
+                'https://image-b2.CIVITAI.com/original=true/test.png',
+            ];
+
+            for (const url of testCases) {
+                const [rewritten, wasRewritten] = rewriteCivitaiUrl(url, 'image', OptimizationMode.THUMBNAIL);
+                expect(wasRewritten).toBe(true);
+                expect(rewritten).toContain('width=450,optimized=true');
+            }
+        });
     });
 
     describe('getOptimizedUrl', () => {
@@ -157,6 +188,23 @@ describe('civitaiUtils', () => {
             expect(isCivitaiUrl('https://image.civitai.com/')).toBe(true);
         });
 
+        it('should return true for CivitAI CDN subdomains', () => {
+            expect(isCivitaiUrl('https://image-b2.civitai.com/file/test.png')).toBe(true);
+            expect(isCivitaiUrl('https://image-b3.civitai.com/test.jpg')).toBe(true);
+            expect(isCivitaiUrl('https://cdn.civitai.com/test.png')).toBe(true);
+        });
+
+        it('should return true for CivitAI URLs with explicit ports', () => {
+            expect(isCivitaiUrl('https://image.civitai.com:443/test.png')).toBe(true);
+            expect(isCivitaiUrl('https://image-b2.civitai.com:443/file/test.jpg')).toBe(true);
+        });
+
+        it('should handle case-insensitive hostnames', () => {
+            expect(isCivitaiUrl('https://IMAGE.CIVITAI.COM/test.png')).toBe(true);
+            expect(isCivitaiUrl('https://Image.Civitai.Com/test.png')).toBe(true);
+            expect(isCivitaiUrl('https://image-b2.CIVITAI.com/test.png')).toBe(true);
+        });
+
         it('should return false for non-CivitAI URLs', () => {
             expect(isCivitaiUrl('https://example.com/image.jpg')).toBe(false);
             expect(isCivitaiUrl('https://civitai.com/image.jpg')).toBe(false);

tests/frontend/utils/loraChainTraversal.test.js

@@ -0,0 +1,151 @@
+import { beforeEach, describe, expect, it, vi } from "vitest";
+
+const { APP_MODULE, UTILS_MODULE } = vi.hoisted(() => ({
+  APP_MODULE: new URL("../../../scripts/app.js", import.meta.url).pathname,
+  UTILS_MODULE: new URL("../../../web/comfyui/utils.js", import.meta.url).pathname,
+}));
+
+vi.mock(APP_MODULE, () => ({
+  app: {
+    graph: null,
+    registerExtension: vi.fn(),
+    ui: {
+      settings: {
+        getSettingValue: vi.fn(),
+      },
+    },
+  },
+}));
+
+describe("LoRA chain traversal", () => {
+  let collectActiveLorasFromChain;
+
+  beforeEach(async () => {
+    vi.resetModules();
+    ({ collectActiveLorasFromChain } = await import(UTILS_MODULE));
+  });
+
+  function createGraph(nodes, links) {
+    const graph = {
+      _nodes: nodes,
+      links,
+      getNodeById(id) {
+        return nodes.find((node) => node.id === id) ?? null;
+      },
+    };
+
+    nodes.forEach((node) => {
+      node.graph = graph;
+    });
+
+    return graph;
+  }
+
+  it("aggregates active LoRAs through a combiner with multiple LORA_STACK inputs", () => {
+    const randomizerA = {
+      id: 1,
+      comfyClass: "Lora Randomizer (LoraManager)",
+      mode: 0,
+      widgets: [
+        {
+          name: "loras",
+          value: [
+            { name: "Alpha", active: true },
+            { name: "Ignored", active: false },
+          ],
+        },
+      ],
+      inputs: [],
+      outputs: [],
+    };
+    const randomizerB = {
+      id: 2,
+      comfyClass: "Lora Randomizer (LoraManager)",
+      mode: 0,
+      widgets: [
+        {
+          name: "loras",
+          value: [{ name: "Beta", active: true }],
+        },
+      ],
+      inputs: [],
+      outputs: [],
+    };
+    const combiner = {
+      id: 3,
+      comfyClass: "Lora Stack Combiner (LoraManager)",
+      mode: 0,
+      widgets: [],
+      inputs: [
+        { name: "lora_stack_a", type: "LORA_STACK", link: 11 },
+        { name: "lora_stack_b", type: "LORA_STACK", link: 12 },
+      ],
+      outputs: [],
+    };
+    const loader = {
+      id: 4,
+      comfyClass: "Lora Loader (LoraManager)",
+      mode: 0,
+      widgets: [],
+      inputs: [{ name: "lora_stack", type: "LORA_STACK", link: 13 }],
+      outputs: [],
+    };
+
+    createGraph(
+      [randomizerA, randomizerB, combiner, loader],
+      {
+        11: { origin_id: 1, target_id: 3 },
+        12: { origin_id: 2, target_id: 3 },
+        13: { origin_id: 3, target_id: 4 },
+      }
+    );
+
+    const result = collectActiveLorasFromChain(loader);
+
+    expect([...result]).toEqual(["Alpha", "Beta"]);
+  });
+
+  it("stops propagation when the combiner is inactive", () => {
+    const randomizer = {
+      id: 1,
+      comfyClass: "Lora Randomizer (LoraManager)",
+      mode: 0,
+      widgets: [
+        {
+          name: "loras",
+          value: [{ name: "Alpha", active: true }],
+        },
+      ],
+      inputs: [],
+      outputs: [],
+    };
+    const combiner = {
+      id: 2,
+      comfyClass: "Lora Stack Combiner (LoraManager)",
+      mode: 2,
+      widgets: [],
+      inputs: [{ name: "lora_stack_a", type: "LORA_STACK", link: 21 }],
+      outputs: [],
+    };
+    const loader = {
+      id: 3,
+      comfyClass: "Lora Loader (LoraManager)",
+      mode: 0,
+      widgets: [],
+      inputs: [{ name: "lora_stack", type: "LORA_STACK", link: 22 }],
+      outputs: [],
+    };
+
+    createGraph(
+      [randomizer, combiner, loader],
+      {
+        21: { origin_id: 1, target_id: 2 },
+        22: { origin_id: 2, target_id: 3 },
+      }
+    );
+
+    const result = collectActiveLorasFromChain(loader);
+
+    expect(result.size).toBe(0);
+  });
+});

tests/metadata_collector/test_metadata_collector.py

@@ -98,6 +98,199 @@ def test_metadata_processor_extracts_generation_params(populated_registry, monke
             assert isinstance(value, str)
 
 
+def test_attention_bias_clip_text_encode_prompts_are_collected(metadata_registry, monkeypatch):
+    import types
+
+    prompt_graph = {
+        "encode_pos": {
+            "class_type": "CLIPTextEncodeAttentionBias",
+            "inputs": {"text": "A <big dog=1.25> on a hill", "clip": ["clip", 0]},
+        },
+        "encode_neg": {
+            "class_type": "CLIPTextEncodeAttentionBias",
+            "inputs": {"text": "low quality", "clip": ["clip", 0]},
+        },
+        "sampler": {
+            "class_type": "KSampler",
+            "inputs": {
+                "seed": types.SimpleNamespace(seed=123),
+                "steps": 20,
+                "cfg": 7.0,
+                "sampler_name": "Euler",
+                "scheduler": "karras",
+                "denoise": 1.0,
+                "positive": ["encode_pos", 0],
+                "negative": ["encode_neg", 0],
+                "latent_image": {"samples": types.SimpleNamespace(shape=(1, 4, 16, 16))},
+            },
+        },
+    }
+    prompt = SimpleNamespace(original_prompt=prompt_graph)
+
+    pos_conditioning = object()
+    neg_conditioning = object()
+
+    monkeypatch.setattr(metadata_processor, "standalone_mode", False)
+
+    metadata_registry.start_collection("prompt-attention")
+    metadata_registry.set_current_prompt(prompt)
+
+    metadata_registry.record_node_execution(
+        "encode_pos",
+        "CLIPTextEncodeAttentionBias",
+        {"text": "A <big dog=1.25> on a hill"},
+        None,
+    )
+    metadata_registry.update_node_execution(
+        "encode_pos", "CLIPTextEncodeAttentionBias", [(pos_conditioning,)]
+    )
+    metadata_registry.record_node_execution(
+        "encode_neg",
+        "CLIPTextEncodeAttentionBias",
+        {"text": "low quality"},
+        None,
+    )
+    metadata_registry.update_node_execution(
+        "encode_neg", "CLIPTextEncodeAttentionBias", [(neg_conditioning,)]
+    )
+    metadata_registry.record_node_execution(
+        "sampler",
+        "KSampler",
+        {
+            "seed": types.SimpleNamespace(seed=123),
+            "positive": pos_conditioning,
+            "negative": neg_conditioning,
+            "latent_image": {"samples": types.SimpleNamespace(shape=(1, 4, 16, 16))},
+        },
+        None,
+    )
+
+    metadata = metadata_registry.get_metadata("prompt-attention")
+    sampler_data = metadata[SAMPLING]["sampler"]
+    prompt_results = MetadataProcessor.match_conditioning_to_prompts(metadata, "sampler")
+
+    assert metadata[PROMPTS]["encode_pos"]["text"] == "A <big dog=1.25> on a hill"
+    assert metadata[PROMPTS]["encode_neg"]["text"] == "low quality"
+    assert sampler_data["node_id"] == "sampler"
+    assert sampler_data["is_sampler"] is True
+    assert prompt_results["prompt"] == "A <big dog=1.25> on a hill"
+    assert prompt_results["negative_prompt"] == "low quality"
+
+
+def test_sampler_custom_advanced_recovers_prompt_text_through_guidance_nodes(metadata_registry, monkeypatch):
+    import types
+
+    prompt_graph = {
+        "encode_pos": {
+            "class_type": "CLIPTextEncodeAttentionBias",
+            "inputs": {
+                "text": "A low-angle, medium close-up portrait of her.",
+                "clip": ["clip", 0],
+            },
+        },
+        "encode_neg": {
+            "class_type": "CLIPTextEncodeAttentionBias",
+            "inputs": {
+                "text": " This low quality greyscale unfinished sketch is inaccurate and flawed. The image is very blurred and lacks detail with excessive chromatic aberrations and artifacts. The image is overly saturated with excessive bloom. It has a toony aesthetic with bold outlines and flat colors. ",
+                "clip": ["clip", 0],
+            },
+        },
+        "scheduled_cfg_guidance": {
+            "class_type": "ScheduledCFGGuidance",
+            "inputs": {
+                "model": ["model", 0],
+                "positive": ["encode_pos", 0],
+                "negative": ["encode_neg", 0],
+                "cfg": 2.6,
+                "start_percent": 0.0,
+                "end_percent": 0.62,
+            },
+        },
+        "sampler": {
+            "class_type": "SamplerCustomAdvanced",
+            "inputs": {
+                "noise": types.SimpleNamespace(seed=174),
+                "guider": ["scheduled_cfg_guidance", 0],
+                "sampler": ["sampler_select", 0],
+                "sigmas": ["scheduler", 0],
+                "latent_image": {"samples": types.SimpleNamespace(shape=(1, 4, 128, 128))},
+            },
+        },
+        "sampler_select": {
+            "class_type": "KSamplerSelect",
+            "inputs": {"sampler_name": "multistep/deis_2m"},
+        },
+        "scheduler": {
+            "class_type": "BasicScheduler",
+            "inputs": {"steps": 20, "scheduler": "power_shift", "denoise": 1.0},
+        },
+    }
+    prompt = SimpleNamespace(original_prompt=prompt_graph)
+
+    pos_conditioning = object()
+    neg_conditioning = object()
+
+    monkeypatch.setattr(metadata_processor, "standalone_mode", False)
+
+    metadata_registry.start_collection("prompt-guidance")
+    metadata_registry.set_current_prompt(prompt)
+
+    metadata_registry.record_node_execution(
+        "encode_pos",
+        "CLIPTextEncodeAttentionBias",
+        {"text": "A low-angle, medium close-up portrait of her."},
+        None,
+    )
+    metadata_registry.update_node_execution(
+        "encode_pos", "CLIPTextEncodeAttentionBias", [(pos_conditioning,)]
+    )
+    metadata_registry.record_node_execution(
+        "encode_neg",
+        "CLIPTextEncodeAttentionBias",
+        {
+            "text": " This low quality greyscale unfinished sketch is inaccurate and flawed. The image is very blurred and lacks detail with excessive chromatic aberrations and artifacts. The image is overly saturated with excessive bloom. It has a toony aesthetic with bold outlines and flat colors. ",
+        },
+        None,
+    )
+    metadata_registry.update_node_execution(
+        "encode_neg", "CLIPTextEncodeAttentionBias", [(neg_conditioning,)]
+    )
+    metadata_registry.record_node_execution(
+        "scheduled_cfg_guidance",
+        "ScheduledCFGGuidance",
+        {
+            "positive": pos_conditioning,
+            "negative": neg_conditioning,
+            "cfg": 2.6,
+        },
+        None,
+    )
+    metadata_registry.record_node_execution(
+        "sampler",
+        "SamplerCustomAdvanced",
+        {
+            "noise": types.SimpleNamespace(seed=174),
+            "guider": {
+                "positive": pos_conditioning,
+                "negative": neg_conditioning,
+            },
+            "sampler": ["sampler_select", 0],
+            "sigmas": ["scheduler", 0],
+            "latent_image": {"samples": types.SimpleNamespace(shape=(1, 4, 128, 128))},
+        },
+        None,
+    )
+
+    metadata = metadata_registry.get_metadata("prompt-guidance")
+    params = MetadataProcessor.extract_generation_params(metadata)
+
+    assert params["prompt"] == "A low-angle, medium close-up portrait of her."
+    assert (
+        params["negative_prompt"]
+        == " This low quality greyscale unfinished sketch is inaccurate and flawed. The image is very blurred and lacks detail with excessive chromatic aberrations and artifacts. The image is overly saturated with excessive bloom. It has a toony aesthetic with bold outlines and flat colors. "
+    )
+
+
 def test_metadata_registry_caches_and_rehydrates(populated_registry):
     registry = populated_registry["registry"]
     prompt = populated_registry["prompt"]

tests/middleware/test_csp_middleware.py

@@ -2,7 +2,10 @@ import pytest
 from aiohttp import web
 from aiohttp.test_utils import make_mocked_request
 
-from py.middleware.csp_middleware import REMOTE_MEDIA_SOURCES, relax_csp_for_remote_media
+from py.middleware.csp_middleware import (
+    REMOTE_MEDIA_SOURCES,
+    relax_csp_for_remote_media,
+)
 
 DEFAULT_CSP = (
     "default-src 'self'; "
@@ -40,7 +43,9 @@ async def _invoke_middleware(
 
 
 @pytest.mark.asyncio
-async def test_relax_csp_appends_remote_sources_and_preserves_existing_directives() -> None:
+async def test_relax_csp_appends_remote_sources_and_preserves_existing_directives() -> (
+    None
+):
     response = await _invoke_middleware("/some-path", web.Response())
     header_value = response.headers.get("Content-Security-Policy")
     assert header_value is not None
@@ -48,16 +53,17 @@ async def test_relax_csp_appends_remote_sources_and_preserves_existing_directive
     directives = _parse_directives(header_value)
 
     # Existing directives remain intact
-    assert directives["script-src"] == ["'self'", "'unsafe-inline'", "'unsafe-eval'", "blob:"]
+    assert directives["script-src"] == [
+        "'self'",
+        "'unsafe-inline'",
+        "'unsafe-eval'",
+        "blob:",
+    ]
     assert directives["img-src"][:3] == ["'self'", "data:", "blob:"]
 
     # Remote media hosts are added once to the relevant directives
     for source in REMOTE_MEDIA_SOURCES:
         assert source in directives["img-src"]
-
-    assert "media-src" in directives
-    assert directives["media-src"][0] == "'self'"
-    for source in REMOTE_MEDIA_SOURCES:
         assert source in directives["media-src"]
 
 

tests/nodes/test_prompt_text_wildcards.py

@@ -0,0 +1,84 @@
+from __future__ import annotations
+
+from py.nodes.prompt import PromptLM
+from py.nodes.text import TextLM
+
+
+def test_text_lm_expands_wildcards_before_output(monkeypatch):
+    node = TextLM()
+
+    expand_calls = []
+
+    class StubService:
+        def expand_text(self, text, seed=None):
+            expand_calls.append((text, seed))
+            return "expanded text"
+
+    monkeypatch.setattr("py.nodes.text.get_wildcard_service", lambda: StubService())
+
+    assert node.process("__flower__", seed=9) == ("expanded text",)
+    assert expand_calls == [("__flower__", 9)]
+
+
+def test_prompt_lm_expands_before_appending_trigger_words(monkeypatch):
+    node = PromptLM()
+
+    class StubService:
+        def expand_text(self, text, seed=None):
+            assert text == "__flower__"
+            assert seed == 42
+            return "rose"
+
+    class StubEncoder:
+        def encode(self, clip, prompt):
+            assert clip == "clip"
+            assert prompt == "artist style, rose"
+            return ("conditioning",)
+
+    monkeypatch.setattr("py.nodes.prompt.get_wildcard_service", lambda: StubService())
+    monkeypatch.setattr("nodes.CLIPTextEncode", lambda: StubEncoder(), raising=False)
+
+    result = node.encode("__flower__", "clip", seed=42, trigger_words1="artist style")
+
+    assert result == ("conditioning", "artist style, rose")
+
+
+def test_prompt_lm_input_types_expose_input_only_seed():
+    input_types = PromptLM.INPUT_TYPES()
+    seed_type, seed_options = input_types["optional"]["seed"]
+
+    assert seed_type == "INT"
+    assert seed_options["forceInput"] is True
+    assert "wildcard generation" in seed_options["tooltip"]
+
+
+def test_text_lm_input_types_expose_input_only_seed():
+    input_types = TextLM.INPUT_TYPES()
+    seed_type, seed_options = input_types["optional"]["seed"]
+
+    assert seed_type == "INT"
+    assert seed_options["forceInput"] is True
+    assert "wildcard generation" in seed_options["tooltip"]
+
+
+def test_text_lm_is_changed_forces_rerun_without_seed_when_text_is_dynamic():
+    result = TextLM.IS_CHANGED("__flower__", seed=None)
+
+    assert result != result
+
+
+def test_text_lm_is_changed_keeps_cache_for_seeded_or_static_text():
+    assert TextLM.IS_CHANGED("__flower__", seed=7) is False
+    assert TextLM.IS_CHANGED("plain text", seed=None) is False
+    assert TextLM.IS_CHANGED("{red|blue}", seed=7) is False
+
+
+def test_prompt_lm_is_changed_forces_rerun_without_seed_when_text_is_dynamic():
+    result = PromptLM.IS_CHANGED("{red|blue}", clip="clip", seed=None)
+
+    assert result != result
+
+
+def test_prompt_lm_is_changed_keeps_cache_for_seeded_or_static_text():
+    assert PromptLM.IS_CHANGED("__flower__", clip="clip", seed=11) is False
+    assert PromptLM.IS_CHANGED("plain text", clip="clip", seed=None) is False

tests/routes/__snapshots__/test_api_snapshots.ambr

@@ -1,6 +1,8 @@
 # serializer version: 1
 # name: TestModelLibraryHandlerSnapshots.test_check_model_exists_empty_response
   dict({
+    'downloadedVersionIds': list([
+    ]),
     'modelType': None,
     'success': True,
     'versions': list([

tests/routes/test_api_snapshots.py

@@ -66,6 +66,27 @@ class FakePromptServer:
     instance = Instance()
 
 
+class FakeDownloadHistoryService:
+    async def has_been_downloaded(self, _model_type, _version_id):
+        return False
+
+    async def get_downloaded_version_ids(self, _model_type, _model_id):
+        return []
+
+    async def get_downloaded_version_ids_bulk(self, _model_type, _model_ids):
+        return {}
+
+    async def mark_downloaded(self, *_args, **_kwargs):
+        return None
+
+    async def mark_not_downloaded(self, *_args, **_kwargs):
+        return None
+
+
+async def fake_download_history_service_factory():
+    return FakeDownloadHistoryService()
+
+
 class TestSettingsHandlerSnapshots:
     """Snapshot tests for SettingsHandler responses."""
 
@@ -223,6 +244,7 @@ class TestModelLibraryHandlerSnapshots:
                 get_lora_scanner=scanner_factory,
                 get_checkpoint_scanner=scanner_factory,
                 get_embedding_scanner=scanner_factory,
+                get_downloaded_version_history_service=fake_download_history_service_factory,
             ),
             metadata_provider_factory=lambda: None,
         )

tests/routes/test_misc_routes.py

@@ -1,6 +1,9 @@
+import io
 import json
+import logging
 import os
 import subprocess
+import zipfile
 from types import SimpleNamespace
 from unittest.mock import patch, MagicMock
 
@@ -8,24 +11,33 @@ import pytest
 from aiohttp import web
 
 from py.routes.handlers.misc_handlers import (
+    BackupHandler,
+    DoctorHandler,
+    FileSystemHandler,
     LoraCodeHandler,
     ModelLibraryHandler,
     NodeRegistry,
     NodeRegistryHandler,
     ServiceRegistryAdapter,
     SettingsHandler,
+    _collect_comfyui_session_logs,
     _is_wsl,
     _wsl_to_windows_path,
     _is_docker,
 )
+from py.utils.session_logging import (
+    reset_standalone_session_logging_for_tests,
+    setup_standalone_session_logging,
+)
 from py.routes.misc_route_registrar import MISC_ROUTE_DEFINITIONS, MiscRouteRegistrar
 from py.routes.misc_routes import MiscRoutes
 
 
 class FakeRequest:
-    def __init__(self, *, json_data=None, query=None):
+    def __init__(self, *, json_data=None, query=None, method="POST"):
         self._json_data = json_data or {}
         self.query = query or {}
+        self.method = method
 
     async def json(self):
         return self._json_data
@@ -34,6 +46,7 @@ class FakeRequest:
 class DummySettings:
     def __init__(self, data=None):
         self.data = data or {}
+        self.settings = self.data
 
     def get(self, key, default=None):
         return self.data.get(key, default)
@@ -64,6 +77,31 @@ async def dummy_downloader_factory():
     return DummyDownloader()
 
 
+class DummyDoctorScanner:
+    def __init__(self, *, model_type='lora', raw_data=None, rebuild_error=None):
+        self.model_type = model_type
+        self._raw_data = list(raw_data or [])
+        self._rebuild_error = rebuild_error
+        self._persistent_cache = SimpleNamespace(
+            load_cache=lambda _model_type: SimpleNamespace(raw_data=list(self._raw_data))
+        )
+
+    async def get_cached_data(self, force_refresh=False, rebuild_cache=False):
+        if rebuild_cache and self._rebuild_error:
+            raise self._rebuild_error
+        return SimpleNamespace(raw_data=list(self._raw_data))
+
+
+class DummyCivitaiClient:
+    def __init__(self, *, success=True, result=None):
+        self.base_url = 'https://civitai.com/api/v1'
+        self._success = success
+        self._result = result if result is not None else {'items': []}
+
+    async def _make_request(self, *_args, **_kwargs):
+        return self._success, self._result
+
+
 @pytest.mark.asyncio
 async def test_get_settings_excludes_no_sync_keys():
     """Verify that settings in _NO_SYNC_KEYS are not synced, but others are."""
@@ -110,6 +148,389 @@ async def test_update_settings_rejects_missing_example_path(tmp_path):
     assert "Path does not exist" in payload["error"]
 
 
+@pytest.mark.asyncio
+async def test_doctor_handler_reports_key_cache_and_ui_issues():
+    settings_service = DummySettings({"civitai_api_key": ""})
+    invalid_entry = {"file_path": "/tmp/missing.safetensors"}
+
+    async def civitai_factory():
+        return DummyCivitaiClient()
+
+    async def scanner_factory():
+        return DummyDoctorScanner(model_type="lora", raw_data=[invalid_entry])
+
+    handler = DoctorHandler(
+        settings_service=settings_service,
+        civitai_client_factory=civitai_factory,
+        scanner_factories=(("lora", "LoRAs", scanner_factory),),
+        app_version_getter=lambda: "1.2.3-server",
+    )
+
+    response = await handler.get_doctor_diagnostics(
+        FakeRequest(query={"clientVersion": "1.2.2-client"}, method="GET")
+    )
+    payload = json.loads(response.text)
+
+    assert payload["success"] is True
+    assert payload["summary"]["status"] == "error"
+    diagnostic_map = {item["id"]: item for item in payload["diagnostics"]}
+    assert diagnostic_map["civitai_api_key"]["status"] == "warning"
+    assert diagnostic_map["cache_health"]["status"] == "error"
+    assert diagnostic_map["ui_version"]["status"] == "warning"
+
+
+@pytest.mark.asyncio
+async def test_doctor_handler_can_repair_cache():
+    scanner = DummyDoctorScanner(model_type="lora", raw_data=[])
+
+    async def civitai_factory():
+        return DummyCivitaiClient()
+
+    async def scanner_factory():
+        return scanner
+
+    handler = DoctorHandler(
+        settings_service=DummySettings({"civitai_api_key": "token"}),
+        civitai_client_factory=civitai_factory,
+        scanner_factories=(("lora", "LoRAs", scanner_factory),),
+    )
+
+    response = await handler.repair_doctor_cache(FakeRequest())
+    payload = json.loads(response.text)
+
+    assert response.status == 200
+    assert payload["success"] is True
+    assert payload["repaired"] == [{"model_type": "lora", "label": "LoRAs"}]
+
+
+@pytest.mark.asyncio
+async def test_doctor_handler_exports_support_bundle():
+    async def civitai_factory():
+        return DummyCivitaiClient()
+
+    handler = DoctorHandler(
+        settings_service=DummySettings({"civitai_api_key": "secret-key"}),
+        civitai_client_factory=civitai_factory,
+        scanner_factories=(),
+        app_version_getter=lambda: "9.9.9-test",
+    )
+
+    response = await handler.export_doctor_bundle(
+        FakeRequest(
+            json_data={
+                "summary": {"status": "warning"},
+                "diagnostics": [{"id": "cache_health", "status": "warning"}],
+                "frontend_logs": [{"level": "error", "message": "boom"}],
+                "client_context": {"app_version": "9.9.8-old"},
+            }
+        )
+    )
+
+    assert response.status == 200
+    with zipfile.ZipFile(io.BytesIO(response.body), "r") as archive:
+        names = set(archive.namelist())
+        assert "doctor-report.json" in names
+        assert "settings-sanitized.json" in names
+        assert "backend-log-source.json" in names
+        settings_payload = json.loads(archive.read("settings-sanitized.json").decode("utf-8"))
+        assert settings_payload["civitai_api_key"].startswith("secr")
+
+
+@pytest.mark.asyncio
+async def test_doctor_handler_redacts_string_secrets_in_bundle():
+    async def civitai_factory():
+        return DummyCivitaiClient()
+
+    handler = DoctorHandler(
+        settings_service=DummySettings({"civitai_api_key": "secret-key"}),
+        civitai_client_factory=civitai_factory,
+        scanner_factories=(),
+        app_version_getter=lambda: "9.9.9-test",
+    )
+
+    response = await handler.export_doctor_bundle(
+        FakeRequest(
+            json_data={
+                "frontend_logs": [
+                    {
+                        "level": "error",
+                        "message": "Authorization: Bearer abcdef123456 token=xyz password=hunter2",
+                    }
+                ],
+            }
+        )
+    )
+
+    assert response.status == 200
+    with zipfile.ZipFile(io.BytesIO(response.body), "r") as archive:
+        frontend_logs = archive.read("frontend-console.json").decode("utf-8")
+        assert "abcdef123456" not in frontend_logs
+        assert "hunter2" not in frontend_logs
+        assert "Bearer ***" in frontend_logs
+        backend_logs = archive.read("backend-logs.txt").decode("utf-8")
+        assert "hunter2" not in backend_logs
+
+
+@pytest.mark.asyncio
+async def test_doctor_handler_redacts_json_shaped_string_secrets_in_bundle():
+    async def civitai_factory():
+        return DummyCivitaiClient()
+
+    handler = DoctorHandler(
+        settings_service=DummySettings({"civitai_api_key": "secret-key"}),
+        civitai_client_factory=civitai_factory,
+        scanner_factories=(),
+        app_version_getter=lambda: "9.9.9-test",
+    )
+    handler._collect_backend_session_logs = lambda: {
+        "mode": "standalone",
+        "source_method": "standalone_memory",
+        "session_started_at": "2026-04-11T10:00:00+00:00",
+        "session_id": "session-123",
+        "persistent_log_path": None,
+        "persistent_log_text": "",
+        "session_log_text": '{"token":"abcd1234","authorization":"Bearer qwerty","password":"hunter2"}\n',
+        "notes": [],
+    }
+
+    response = await handler.export_doctor_bundle(
+        FakeRequest(
+            json_data={
+                "frontend_logs": [
+                    {
+                        "level": "error",
+                        "message": '{"token":"abcd1234","authorization":"Bearer qwerty","password":"hunter2"}',
+                    }
+                ],
+            }
+        )
+    )
+
+    assert response.status == 200
+    with zipfile.ZipFile(io.BytesIO(response.body), "r") as archive:
+        frontend_logs = archive.read("frontend-console.json").decode("utf-8")
+        backend_logs = archive.read("backend-logs.txt").decode("utf-8")
+
+        assert '"token":"abcd1234"' not in frontend_logs
+        assert '"password":"hunter2"' not in frontend_logs
+        assert 'Bearer qwerty' not in frontend_logs
+        assert '\\"token\\":\\"***\\"' in frontend_logs
+        assert '\\"password\\":\\"***\\"' in frontend_logs
+        assert 'Bearer ***' in frontend_logs
+
+        assert '"token":"abcd1234"' not in backend_logs
+        assert '"password":"hunter2"' not in backend_logs
+        assert 'Bearer qwerty' not in backend_logs
+
+
+@pytest.mark.asyncio
+async def test_doctor_handler_exports_backend_session_logs_from_helper():
+    async def civitai_factory():
+        return DummyCivitaiClient()
+
+    handler = DoctorHandler(
+        settings_service=DummySettings({"civitai_api_key": "secret-key"}),
+        civitai_client_factory=civitai_factory,
+        scanner_factories=(),
+        app_version_getter=lambda: "9.9.9-test",
+    )
+    handler._collect_backend_session_logs = lambda: {
+        "mode": "standalone",
+        "source_method": "standalone_session_file",
+        "session_started_at": "2026-04-11T10:00:00+00:00",
+        "session_id": "session-123",
+        "persistent_log_path": "/tmp/standalone.log",
+        "persistent_log_text": "token=abcd1234\n",
+        "session_log_text": "Authorization: Bearer supersecret\n",
+        "notes": [],
+    }
+
+    response = await handler.export_doctor_bundle(FakeRequest(json_data={}))
+
+    assert response.status == 200
+    with zipfile.ZipFile(io.BytesIO(response.body), "r") as archive:
+        backend_logs = archive.read("backend-logs.txt").decode("utf-8")
+        backend_source = json.loads(
+            archive.read("backend-log-source.json").decode("utf-8")
+        )
+
+        assert "supersecret" not in backend_logs
+        assert backend_source["source_method"] == "standalone_session_file"
+        assert backend_source["session_id"] == "session-123"
+
+
+def test_collect_comfyui_session_logs_only_uses_matching_current_session_file(tmp_path):
+    log_file = tmp_path / "comfyui.log"
+    log_file.write_text(
+        "** ComfyUI startup time: 2026-04-11 12:00:00.000\n"
+        "[2026-04-11 12:00:01.000] file log line\n",
+        encoding="utf-8",
+    )
+
+    result = _collect_comfyui_session_logs(
+        log_entries=[
+            {
+                "t": "2026-04-11 12:05:00.000",
+                "m": "** ComfyUI startup time: 2026-04-11 12:05:00.000\n",
+            },
+            {"t": "2026-04-11 12:05:01.000", "m": "current session line\n"},
+        ],
+        log_file_path=str(log_file),
+    )
+
+    assert result["persistent_log_text"] == ""
+    assert any("does not match" in note for note in result["notes"])
+
+
+def test_setup_standalone_session_logging_creates_current_session_file(tmp_path):
+    reset_standalone_session_logging_for_tests()
+    settings_file = tmp_path / "settings.json"
+    settings_file.write_text("{}", encoding="utf-8")
+
+    state = setup_standalone_session_logging(str(settings_file))
+    logger = logging.getLogger("lora-manager-standalone-test")
+    logger.info("standalone current session line")
+
+    assert state.log_file_path is not None
+    assert os.path.isfile(state.log_file_path)
+    with open(state.log_file_path, "r", encoding="utf-8") as handle:
+        payload = handle.read()
+
+    assert "LoRA Manager standalone startup time:" in payload
+
+
+class DummyBackupService:
+    def __init__(self):
+        self.restore_calls = []
+
+    async def create_snapshot(self, *, snapshot_type="manual", persist=False):
+        return {
+            "archive_name": "backup.zip",
+            "archive_bytes": b"zip-bytes",
+            "manifest": {"snapshot_type": snapshot_type},
+        }
+
+    async def restore_snapshot(self, archive_path):
+        self.restore_calls.append(archive_path)
+        return {"success": True, "restored_files": 3, "snapshot_type": "manual"}
+
+    def get_status(self):
+        return {
+            "backupDir": "/tmp/backups",
+            "enabled": True,
+            "retentionCount": 5,
+            "snapshotCount": 1,
+        }
+
+    def get_available_snapshots(self):
+        return [{"name": "backup.zip", "path": "/tmp/backup.zip", "size": 8, "mtime": 1.0, "is_auto": False}]
+
+
+@pytest.mark.asyncio
+async def test_backup_handler_returns_status_and_exports(monkeypatch):
+    service = DummyBackupService()
+
+    async def factory():
+        return service
+
+    handler = BackupHandler(backup_service_factory=factory)
+
+    status_response = await handler.get_backup_status(FakeRequest())
+    status_payload = json.loads(status_response.text)
+    assert status_payload["success"] is True
+    assert status_payload["status"]["backupDir"] == "/tmp/backups"
+    assert status_payload["status"]["enabled"] is True
+    assert status_payload["snapshots"][0]["name"] == "backup.zip"
+
+    export_response = await handler.export_backup(FakeRequest())
+    assert export_response.status == 200
+    assert export_response.body == b"zip-bytes"
+
+
+@pytest.mark.asyncio
+async def test_backup_handler_rejects_missing_import_archive():
+    service = DummyBackupService()
+
+    async def factory():
+        return service
+
+    handler = BackupHandler(backup_service_factory=factory)
+
+    class EmptyRequest:
+        content_type = "application/octet-stream"
+
+        async def read(self):
+            return b""
+
+    response = await handler.import_backup(EmptyRequest())
+    payload = json.loads(response.text)
+
+    assert response.status == 400
+    assert payload["success"] is False
+
+
+@pytest.mark.asyncio
+async def test_open_backup_location_uses_settings_directory(tmp_path, monkeypatch):
+    settings_dir = tmp_path / "settings"
+    settings_dir.mkdir(parents=True, exist_ok=True)
+    settings_file = settings_dir / "settings.json"
+    settings_file.write_text("{}", encoding="utf-8")
+    backup_dir = settings_dir / "backups"
+    backup_dir.mkdir(parents=True, exist_ok=True)
+
+    handler = FileSystemHandler(settings_service=SimpleNamespace(settings_file=str(settings_file)))
+
+    calls = []
+
+    def fake_popen(args):
+        calls.append(args)
+        return MagicMock()
+
+    monkeypatch.setattr(subprocess, "Popen", fake_popen)
+    monkeypatch.setattr("py.routes.handlers.misc_handlers._is_docker", lambda: False)
+    monkeypatch.setattr("py.routes.handlers.misc_handlers._is_wsl", lambda: False)
+
+    response = await handler.open_backup_location(FakeRequest())
+    payload = json.loads(response.text)
+
+    assert response.status == 200
+    assert payload["success"] is True
+    assert payload["path"] == str(backup_dir)
+    assert calls == [["xdg-open", str(backup_dir)]]
+
+
+@pytest.mark.asyncio
+async def test_open_wildcards_location_creates_and_opens_directory(tmp_path, monkeypatch):
+    wildcards_dir = tmp_path / "settings" / "wildcards"
+
+    handler = FileSystemHandler(settings_service=SimpleNamespace(settings_file=str(tmp_path / "settings.json")))
+
+    calls = []
+
+    def fake_popen(args):
+        calls.append(args)
+        return MagicMock()
+
+    monkeypatch.setattr(subprocess, "Popen", fake_popen)
+    monkeypatch.setattr("py.routes.handlers.misc_handlers._is_docker", lambda: False)
+    monkeypatch.setattr("py.routes.handlers.misc_handlers._is_wsl", lambda: False)
+    monkeypatch.setattr(
+        "py.services.wildcard_service.get_wildcards_dir",
+        lambda create=False: str(wildcards_dir.mkdir(parents=True, exist_ok=True) or wildcards_dir)
+        if create
+        else str(wildcards_dir),
+    )
+
+    response = await handler.open_wildcards_location(FakeRequest())
+    payload = json.loads(response.text)
+
+    assert response.status == 200
+    assert payload["success"] is True
+    assert payload["path"] == str(wildcards_dir)
+    assert wildcards_dir.is_dir()
+    assert calls == [["xdg-open", str(wildcards_dir)]]
+
+
 class RecordingRouter:
     def __init__(self):
         self.calls = []
@@ -438,6 +859,46 @@ async def fake_metadata_archive_manager_factory():
     return FakeMetadataArchiveManager()
 
 
+class FakeDownloadHistoryService:
+    def __init__(self, downloaded_by_type=None):
+        self.downloaded_by_type = downloaded_by_type or {}
+        self.marked_downloaded: list[tuple] = []
+        self.marked_not_downloaded: list[tuple] = []
+
+    async def has_been_downloaded(self, model_type, version_id):
+        return version_id in self.downloaded_by_type.get(model_type, set())
+
+    async def get_downloaded_version_ids(self, model_type, model_id):
+        entries = self.downloaded_by_type.get(model_type, {})
+        if isinstance(entries, dict):
+            return sorted(entries.get(model_id, set()))
+        return []
+
+    async def get_downloaded_version_ids_bulk(self, model_type, model_ids):
+        entries = self.downloaded_by_type.get(model_type, {})
+        if not isinstance(entries, dict):
+            return {}
+        return {
+            model_id: set(entries.get(model_id, set()))
+            for model_id in model_ids
+            if model_id in entries
+        }
+
+    async def mark_downloaded(
+        self, model_type, version_id, *, model_id=None, source="manual", file_path=None
+    ):
+        self.marked_downloaded.append(
+            (model_type, version_id, model_id, source, file_path)
+        )
+
+    async def mark_not_downloaded(self, model_type, version_id):
+        self.marked_not_downloaded.append((model_type, version_id))
+
+
+async def fake_download_history_service_factory():
+    return FakeDownloadHistoryService()
+
+
 class RecordingRegistrar:
     def __init__(self, _app):
         self.registered_mapping = None
@@ -452,6 +913,7 @@ async def test_misc_routes_bind_produces_expected_handlers():
         get_lora_scanner=fake_scanner_factory,
         get_checkpoint_scanner=fake_scanner_factory,
         get_embedding_scanner=fake_scanner_factory,
+        get_downloaded_version_history_service=fake_download_history_service_factory,
     )
 
     recorded_registrars = []
@@ -578,6 +1040,7 @@ async def test_get_civitai_user_models_marks_library_versions():
             get_lora_scanner=lora_factory,
             get_checkpoint_scanner=checkpoint_factory,
             get_embedding_scanner=embedding_factory,
+            get_downloaded_version_history_service=lambda: fake_download_history_service_factory(),
         ),
         metadata_provider_factory=provider_factory,
     )
@@ -600,6 +1063,7 @@ async def test_get_civitai_user_models_marks_library_versions():
             "baseModel": "Flux.1",
             "thumbnailUrl": "http://example.com/a1.jpg",
             "inLibrary": False,
+            "hasBeenDownloaded": False,
         },
         {
             "modelId": 1,
@@ -611,6 +1075,7 @@ async def test_get_civitai_user_models_marks_library_versions():
             "baseModel": "Flux.1",
             "thumbnailUrl": "http://example.com/a2.jpg",
             "inLibrary": True,
+            "hasBeenDownloaded": False,
         },
         {
             "modelId": 2,
@@ -622,6 +1087,7 @@ async def test_get_civitai_user_models_marks_library_versions():
             "baseModel": None,
             "thumbnailUrl": "http://example.com/e1.jpg",
             "inLibrary": False,
+            "hasBeenDownloaded": False,
         },
         {
             "modelId": 2,
@@ -633,6 +1099,7 @@ async def test_get_civitai_user_models_marks_library_versions():
             "baseModel": None,
             "thumbnailUrl": None,
             "inLibrary": True,
+            "hasBeenDownloaded": False,
         },
         {
             "modelId": 3,
@@ -644,6 +1111,7 @@ async def test_get_civitai_user_models_marks_library_versions():
             "baseModel": "SDXL",
             "thumbnailUrl": None,
             "inLibrary": False,
+            "hasBeenDownloaded": False,
         },
     ]
 
@@ -692,6 +1160,7 @@ async def test_get_civitai_user_models_rewrites_civitai_previews():
             get_lora_scanner=fake_scanner_factory,
             get_checkpoint_scanner=fake_scanner_factory,
             get_embedding_scanner=fake_scanner_factory,
+            get_downloaded_version_history_service=fake_download_history_service_factory,
         ),
         metadata_provider_factory=provider_factory,
     )
@@ -727,6 +1196,7 @@ async def test_get_civitai_user_models_requires_username():
             get_lora_scanner=fake_scanner_factory,
             get_checkpoint_scanner=fake_scanner_factory,
             get_embedding_scanner=fake_scanner_factory,
+            get_downloaded_version_history_service=fake_download_history_service_factory,
         ),
         metadata_provider_factory=provider_factory,
     )
@@ -760,6 +1230,7 @@ def test_ensure_handler_mapping_caches_result():
             get_lora_scanner=fake_scanner_factory,
             get_checkpoint_scanner=fake_scanner_factory,
             get_embedding_scanner=fake_scanner_factory,
+            get_downloaded_version_history_service=fake_download_history_service_factory,
         ),
         metadata_provider_factory=fake_metadata_provider_factory,
         metadata_archive_manager_factory=fake_metadata_archive_manager_factory,
@@ -802,6 +1273,7 @@ async def test_check_model_exists_returns_local_versions():
             get_lora_scanner=lora_factory,
             get_checkpoint_scanner=checkpoint_factory,
             get_embedding_scanner=embedding_factory,
+            get_downloaded_version_history_service=fake_download_history_service_factory,
         ),
         metadata_provider_factory=fake_metadata_provider_factory,
     )
@@ -811,10 +1283,139 @@ async def test_check_model_exists_returns_local_versions():
 
     assert payload["success"] is True
     assert payload["modelType"] == "lora"
-    assert payload["versions"] == versions
+    assert payload["versions"] == [
+        {"versionId": 11, "name": "v1", "fileName": "model-one", "hasBeenDownloaded": True},
+        {"versionId": 12, "name": "v2", "fileName": "model-two", "hasBeenDownloaded": True},
+    ]
     assert lora_scanner.version_calls == [5]
 
 
+@pytest.mark.asyncio
+async def test_check_model_exists_model_id_only_does_not_call_metadata_provider():
+    async def metadata_provider_factory():
+        raise AssertionError("metadata provider should not be called for modelId-only checks")
+
+    handler = ModelLibraryHandler(
+        ServiceRegistryAdapter(
+            get_lora_scanner=fake_scanner_factory,
+            get_checkpoint_scanner=fake_scanner_factory,
+            get_embedding_scanner=fake_scanner_factory,
+            get_downloaded_version_history_service=fake_download_history_service_factory,
+        ),
+        metadata_provider_factory=metadata_provider_factory,
+    )
+
+    response = await handler.check_model_exists(FakeRequest(query={"modelId": "5"}))
+    payload = json.loads(response.text)
+
+    assert payload == {
+        "success": True,
+        "modelType": None,
+        "versions": [],
+        "downloadedVersionIds": [],
+    }
+
+
+@pytest.mark.asyncio
+async def test_check_model_exists_returns_download_history_when_file_missing():
+    history_service = FakeDownloadHistoryService({"checkpoint": {999}})
+
+    async def history_factory():
+        return history_service
+
+    handler = ModelLibraryHandler(
+        ServiceRegistryAdapter(
+            get_lora_scanner=fake_scanner_factory,
+            get_checkpoint_scanner=fake_scanner_factory,
+            get_embedding_scanner=fake_scanner_factory,
+            get_downloaded_version_history_service=history_factory,
+        ),
+        metadata_provider_factory=fake_metadata_provider_factory,
+    )
+
+    response = await handler.check_model_exists(
+        FakeRequest(query={"modelId": "5", "modelVersionId": "999"})
+    )
+    payload = json.loads(response.text)
+
+    assert payload == {
+        "success": True,
+        "exists": False,
+        "modelType": "checkpoint",
+        "hasBeenDownloaded": True,
+    }
+
+
+@pytest.mark.asyncio
+async def test_model_version_download_status_endpoints():
+    history_service = FakeDownloadHistoryService({"lora": {123}})
+
+    async def history_factory():
+        return history_service
+
+    handler = ModelLibraryHandler(
+        ServiceRegistryAdapter(
+            get_lora_scanner=fake_scanner_factory,
+            get_checkpoint_scanner=fake_scanner_factory,
+            get_embedding_scanner=fake_scanner_factory,
+            get_downloaded_version_history_service=history_factory,
+        ),
+        metadata_provider_factory=fake_metadata_provider_factory,
+    )
+
+    get_response = await handler.get_model_version_download_status(
+        FakeRequest(query={"modelType": "lora", "modelVersionId": "123"})
+    )
+    get_payload = json.loads(get_response.text)
+    assert get_payload == {
+        "success": True,
+        "modelType": "lora",
+        "modelVersionId": 123,
+        "hasBeenDownloaded": True,
+    }
+
+    set_response = await handler.set_model_version_download_status(
+        FakeRequest(
+            json_data={
+                "modelType": "checkpoint",
+                "modelVersionId": 456,
+                "modelId": 78,
+                "downloaded": True,
+                "filePath": "/tmp/model.safetensors",
+            }
+        )
+    )
+    set_payload = json.loads(set_response.text)
+    assert set_payload == {
+        "success": True,
+        "modelType": "checkpoint",
+        "modelVersionId": 456,
+        "hasBeenDownloaded": True,
+    }
+    assert history_service.marked_downloaded == [
+        ("checkpoint", 456, 78, "manual", "/tmp/model.safetensors")
+    ]
+
+    set_get_response = await handler.set_model_version_download_status(
+        FakeRequest(
+            method="GET",
+            query={
+                "modelType": "embedding",
+                "modelVersionId": "789",
+                "modelId": "12",
+                "downloaded": "false",
+            },
+        )
+    )
+    set_get_payload = json.loads(set_get_response.text)
+    assert set_get_payload == {
+        "success": True,
+        "modelType": "embedding",
+        "modelVersionId": 789,
+        "hasBeenDownloaded": False,
+    }
+
+
 def test_create_handler_set_uses_provided_dependencies():
     recorded_handlers: list[dict] = []
 
@@ -845,6 +1446,7 @@ def test_create_handler_set_uses_provided_dependencies():
             get_lora_scanner=fake_scanner_factory,
             get_checkpoint_scanner=fake_scanner_factory,
             get_embedding_scanner=fake_scanner_factory,
+            get_downloaded_version_history_service=fake_download_history_service_factory,
         ),
         metadata_provider_factory=fake_metadata_provider_factory,
         metadata_archive_manager_factory=fake_metadata_archive_manager_factory,

tests/routes/test_model_page_view.py

@@ -0,0 +1,66 @@
+from __future__ import annotations
+
+from types import SimpleNamespace
+
+import jinja2
+
+from py.routes.handlers.model_handlers import ModelPageView
+
+
+class DummySettings:
+    def get(self, key, default=None):
+        return default
+
+
+class DummyI18n:
+    def __init__(self):
+        self.locale = None
+
+    def set_locale(self, locale):
+        self.locale = locale
+
+    def get_translation(self, key, default=None, **_kwargs):
+        return default or key
+
+    def create_template_filter(self):
+        return lambda key, *_args, **_kwargs: key
+
+
+class DummyScanner:
+    def __init__(self):
+        self._cache = SimpleNamespace()
+
+    async def get_cached_data(self, *_args, **_kwargs):
+        return SimpleNamespace(folders=[])
+
+
+class DummyService:
+    def __init__(self):
+        self.scanner = DummyScanner()
+
+
+async def test_model_page_view_reads_version_per_request():
+    template_env = jinja2.Environment(
+        loader=jinja2.DictLoader({"dummy.html": "{{ version }}"}),
+        autoescape=True,
+    )
+    view = ModelPageView(
+        template_env=template_env,
+        template_name="dummy.html",
+        service=DummyService(),
+        settings_service=DummySettings(),
+        server_i18n=DummyI18n(),
+        logger=SimpleNamespace(
+            debug=lambda *_args, **_kwargs: None,
+            error=lambda *_args, **_kwargs: None,
+        ),
+    )
+
+    view._get_app_version = lambda: "1.0.2-old"
+    first = await view.handle(SimpleNamespace())
+
+    view._get_app_version = lambda: "1.0.2-new"
+    second = await view.handle(SimpleNamespace())
+
+    assert first.text == "1.0.2-old"
+    assert second.text == "1.0.2-new"

tests/routes/test_model_update_handler.py

@@ -6,7 +6,8 @@ from types import SimpleNamespace
 import pytest
 
 from py.config import config
-from py.routes.handlers.model_handlers import ModelUpdateHandler
+from py.routes.handlers.model_handlers import ModelCivitaiHandler, ModelUpdateHandler
+from py.services.service_registry import ServiceRegistry
 from py.utils.metadata_manager import MetadataManager
 from py.services.model_update_service import ModelUpdateRecord, ModelVersionRecord
 
@@ -91,7 +92,131 @@ async def test_build_version_context_includes_static_urls():
 
     overrides = await handler._build_version_context(record)
     expected = config.get_preview_static_url("/tmp/previews/example.png")
-    assert overrides == {123: {"file_path": None, "file_name": None, "preview_override": expected}}
+    assert overrides == {
+        123: {
+            "file_path": None,
+            "file_name": None,
+            "preview_override": expected,
+            "has_been_downloaded": False,
+        }
+    }
+
+
+@pytest.mark.asyncio
+async def test_build_version_context_includes_download_history(monkeypatch):
+    cache = SimpleNamespace(version_index={})
+    service = DummyService(cache)
+    handler = ModelUpdateHandler(
+        service=service,
+        update_service=SimpleNamespace(),
+        metadata_provider_selector=lambda *_: None,
+        settings_service=SimpleNamespace(get=lambda *_: False),
+        logger=logging.getLogger(__name__),
+    )
+
+    class DummyHistoryService:
+        async def get_downloaded_version_ids(self, model_type, model_id):
+            assert model_type == "lora"
+            assert model_id == 42
+            return [123]
+
+    async def fake_history_service_factory():
+        return DummyHistoryService()
+
+    monkeypatch.setattr(
+        ServiceRegistry,
+        "get_downloaded_version_history_service",
+        staticmethod(fake_history_service_factory),
+    )
+
+    record = ModelUpdateRecord(
+        model_type="lora",
+        model_id=42,
+        versions=[
+            ModelVersionRecord(
+                version_id=123,
+                name="Downloaded",
+                base_model=None,
+                released_at=None,
+                size_bytes=None,
+                preview_url=None,
+                is_in_library=False,
+                should_ignore=False,
+            ),
+            ModelVersionRecord(
+                version_id=124,
+                name="Fresh",
+                base_model=None,
+                released_at=None,
+                size_bytes=None,
+                preview_url=None,
+                is_in_library=False,
+                should_ignore=False,
+            ),
+        ],
+        last_checked_at=None,
+        should_ignore_model=False,
+    )
+
+    overrides = await handler._build_version_context(record)
+    assert overrides[123]["has_been_downloaded"] is True
+    assert overrides[124]["has_been_downloaded"] is False
+
+
+@pytest.mark.asyncio
+async def test_get_civitai_versions_degrades_when_download_history_unavailable(monkeypatch):
+    cache = SimpleNamespace(version_index={})
+    service = DummyService(cache)
+
+    class DummyProvider:
+        async def get_model_versions(self, model_id):
+            assert model_id == "42"
+            return {
+                "type": "lora",
+                "modelVersions": [
+                    {
+                        "id": 7,
+                        "name": "Version 7",
+                        "files": [],
+                    }
+                ],
+            }
+
+    async def fake_history_service_factory():
+        raise RuntimeError("download history unavailable")
+
+    monkeypatch.setattr(
+        ServiceRegistry,
+        "get_downloaded_version_history_service",
+        staticmethod(fake_history_service_factory),
+    )
+
+    async def metadata_provider_factory():
+        return DummyProvider()
+
+    handler = ModelCivitaiHandler(
+        service=service,
+        settings_service=SimpleNamespace(get=lambda *_: False),
+        ws_manager=SimpleNamespace(),
+        logger=logging.getLogger(__name__),
+        metadata_provider_factory=metadata_provider_factory,
+        validate_model_type=lambda *_: True,
+        expected_model_types=lambda: "LoRA",
+        find_model_file=lambda *_: None,
+        metadata_sync=SimpleNamespace(),
+        metadata_refresh_use_case=SimpleNamespace(),
+        metadata_progress_callback=lambda *_args, **_kwargs: None,
+    )
+
+    response = await handler.get_civitai_versions(
+        SimpleNamespace(match_info={"model_id": "42"})
+    )
+    payload = json.loads(response.text)
+
+    assert response.status == 200
+    assert payload[0]["id"] == 7
+    assert payload[0]["existsLocally"] is False
+    assert payload[0]["hasBeenDownloaded"] is False
 
 
 @pytest.mark.asyncio

tests/routes/test_preview_routes.py

@@ -113,6 +113,78 @@ async def test_config_updates_preview_roots_after_switch(tmp_path):
     assert decoded.replace("\\", "/").endswith("model.webp")
 
 
+async def test_preview_handler_allows_custom_recipes_path(tmp_path):
+    lora_root = tmp_path / "library"
+    lora_root.mkdir()
+    recipes_root = tmp_path / "recipes_storage"
+    recipes_root.mkdir()
+    preview_file = recipes_root / "recipe.webp"
+    preview_file.write_bytes(b"preview")
+
+    config = Config()
+    config.apply_library_settings(
+        {
+            "folder_paths": {
+                "loras": [str(lora_root)],
+                "checkpoints": [],
+                "unet": [],
+                "embeddings": [],
+            },
+            "recipes_path": str(recipes_root),
+        }
+    )
+
+    assert config.is_preview_path_allowed(str(preview_file))
+
+    handler = PreviewHandler(config=config)
+    encoded_path = urllib.parse.quote(str(preview_file), safe="")
+    request = make_mocked_request("GET", f"/api/lm/previews?path={encoded_path}")
+
+    response = await handler.serve_preview(request)
+
+    assert isinstance(response, web.FileResponse)
+    assert response.status == 200
+    assert Path(response._path) == preview_file
+
+
+async def test_preview_handler_allows_symlinked_recipes_path(tmp_path):
+    lora_root = tmp_path / "library"
+    lora_root.mkdir()
+    real_recipes_root = tmp_path / "real_recipes"
+    real_recipes_root.mkdir()
+    symlink_recipes_root = tmp_path / "linked_recipes"
+    symlink_recipes_root.symlink_to(real_recipes_root, target_is_directory=True)
+
+    preview_file = real_recipes_root / "recipe.webp"
+    preview_file.write_bytes(b"preview")
+
+    config = Config()
+    config.apply_library_settings(
+        {
+            "folder_paths": {
+                "loras": [str(lora_root)],
+                "checkpoints": [],
+                "unet": [],
+                "embeddings": [],
+            },
+            "recipes_path": str(symlink_recipes_root),
+        }
+    )
+
+    symlink_preview_path = symlink_recipes_root / "recipe.webp"
+    assert config.is_preview_path_allowed(str(symlink_preview_path))
+
+    handler = PreviewHandler(config=config)
+    encoded_path = urllib.parse.quote(str(symlink_preview_path), safe="")
+    request = make_mocked_request("GET", f"/api/lm/previews?path={encoded_path}")
+
+    response = await handler.serve_preview(request)
+
+    assert isinstance(response, web.FileResponse)
+    assert response.status == 200
+    assert Path(response._path) == preview_file.resolve()
+
+
 def test_is_preview_path_allowed_case_insensitive_on_windows(tmp_path):
     """Test that preview path validation is case-insensitive on Windows.
 

tests/routes/test_wildcard_routes.py

@@ -0,0 +1,69 @@
+from __future__ import annotations
+
+import json
+from types import SimpleNamespace
+
+import pytest
+
+from py.routes.handlers.misc_handlers import WildcardsHandler
+
+
+class FakeRequest:
+    def __init__(self, query=None):
+        self.query = query or {}
+
+
+@pytest.mark.asyncio
+async def test_search_wildcards_returns_results():
+    class StubService:
+        def get_metadata(self, create_dir=False):
+            assert create_dir is True
+            return SimpleNamespace(
+                has_wildcards=True,
+                wildcards_dir="/tmp/settings/wildcards",
+                supported_formats=(".txt", ".yaml", ".yml", ".json"),
+            )
+
+        def search_keys(self, search_term, limit, offset):
+            assert search_term == "cat"
+            assert limit == 25
+            assert offset == 2
+            return ["animals/cat"]
+
+    handler = WildcardsHandler(service=StubService())
+    response = await handler.search_wildcards(
+        FakeRequest(query={"search": "cat", "limit": "25", "offset": "2"})
+    )
+    payload = json.loads(response.text)
+
+    assert response.status == 200
+    assert payload == {
+        "success": True,
+        "words": ["animals/cat"],
+        "meta": {
+            "has_wildcards": True,
+            "wildcards_dir": "/tmp/settings/wildcards",
+            "supported_formats": [".txt", ".yaml", ".yml", ".json"],
+        },
+    }
+
+
+@pytest.mark.asyncio
+async def test_search_wildcards_handles_errors():
+    class StubService:
+        def get_metadata(self, create_dir=False):
+            return SimpleNamespace(
+                has_wildcards=False,
+                wildcards_dir="/tmp/settings/wildcards",
+                supported_formats=(".txt",),
+            )
+
+        def search_keys(self, search_term, limit, offset):
+            raise RuntimeError("boom")
+
+    handler = WildcardsHandler(service=StubService())
+    response = await handler.search_wildcards(FakeRequest(query={"search": "cat"}))
+    payload = json.loads(response.text)
+
+    assert response.status == 500
+    assert payload["error"] == "boom"