chore(release): bump version to v1.0.9

feat(recipe): add bulk Repair Metadata for Selected operation to recipes page
Adds a new bulk operation in the recipes page that allows users to select multiple recipes and repair their metadata in batch. Backend: - New POST /api/lm/recipes/repair-bulk endpoint accepting recipe_ids array - repair_recipes_bulk handler iterates repair_recipe_by_id for each recipe - Response includes per-recipe updated data for frontend card refresh Frontend: - Bulk context menu: new 'Repair Metadata for Selected' item in Metadata section - BulkManager.repairSelectedRecipes() with loading/toast flow - Uses VirtualScroller.updateSingleItem() per repaired recipe (no full reload) - Visibility controlled via repairMetadata actionConfig flag Locales: - Added repairMetadata, repairBulkComplete, repairBulkSkipped, repairBulkFailed - Translated across all 9 supported languages
2026-06-22 11:21:15 -03:00 · 2026-05-28 21:46:46 +08:00 · 2026-05-28 20:16:59 +08:00 · 2026-05-28 19:11:49 +08:00 · 2026-05-28 17:19:27 +08:00 · 2026-05-28 15:46:38 +08:00
35 changed files with 1010 additions and 319 deletions
--- a/README.md
+++ b/README.md
--- a/data/supporters.json
+++ b/data/supporters.json
@@ -15,227 +15,233 @@
    "Phil",
    "Carl G.",
    "Arlecchino Shion",
-    "$MetaSamsara",
+    "Charles Blakemore",
    "Rob Williams",
+    "$MetaSamsara",
    "stone9k",
+    "Rosenthal",
+    "Francisco Tatis",
+    "JongWon Han",
    "runte3221",
+    "FreelancerZ",
+    "Fraser Cross",
+    "Polymorphic Indeterminate",
+    "Marc Whiffen",
+    "Skalabananen",
+    "Birdy",
    "Kiba",
    "Mozzel",
    "itismyelement",
    "Gingko Biloba",
+    "Reno Lam",
    "onesecondinosaur",
+    "sig",
    "Christian Byrne",
    "DM",
    "Sen314",
    "Estragon",
+    "J\\B/ 8r0wns0n",
    "Takkan",
-    "Charles Blakemore",
-    "Rosenthal",
    "ClockDaemon",
-    "Francisco Tatis",
+    "KD",
+    "Omnidex",
+    "Tyler Trebuchon",
+    "Release Cabrakan",
    "Tobi_Swagg",
    "SG",
+    "James Dooley",
+    "zenbound",
+    "Buzzard",
    "jmack",
    "Andrew Wilson",
    "Greybush",
+    "Mark Corneglio",
+    "SarcasticHashtag",
    "iamresist",
    "Wolffen",
    "Ricky Carter",
-    "JongWon Han",
+    "James Todd",
+    "Steven Pfeiffer",
    "VantAI",
    "Tim",
+    "Lisster",
    "Michael Wong",
    "Illrigger",
    "Tom Corrigan",
    "JackieWang",
-    "FreelancerZ",
    "fnkylove",
+    "Yushio",
+    "Vik71it",
    "Echo",
    "Lilleman",
    "Robert Stacey",
    "PM",
+    "Todd Keck",
    "Edgar Tejeda",
    "Jorge Hussni",
    "Liam MacDougal",
    "Sterilized",
-    "Fraser Cross",
-    "Polymorphic Indeterminate",
-    "Marc Whiffen",
-    "Birdy",
-    "Skalabananen",
+    "BadassArabianMofo",
    "quarz",
-    "Reno Lam",
+    "Greg",
    "JSST",
-    "sig",
-    "J\\B/ 8r0wns0n",
    "Snaggwort",
+    "lmsupporter",
+    "wfpearl",
    "Baekdoosixt",
    "Jonathan Ross",
-    "KD",
-    "Omnidex",
+    "Jack B Nimble",
    "Nazono_hito",
    "Melville Parrish",
    "daniel dove",
    "Lustre",
-    "Tyler Trebuchon",
-    "Release Cabrakan",
    "JW Sin",
    "contrite831",
    "Alex",
+    "bh",
    "carozzz",
    "Marlon Daniels",
-    "James Dooley",
-    "zenbound",
-    "Buzzard",
+    "Starkselle",
+    "Aaron Bleuer",
+    "LacesOut!",
+    "greebles",
    "Adam Shaw",
-    "Mark Corneglio",
-    "SarcasticHashtag",
    "Anthony Rizzo",
+    "M Postkasse",
    "Gooohokrbe",
    "RedrockVP",
-    "James Todd",
-    "ASLPro3D",
+    "Wicked Choices by ASLPro3D",
    "OldBones",
+    "Jacob Hoehler",
    "FinalyFree",
-    "Steven Pfeiffer",
+    "Weasyl",
    "Timmy",
    "Johnny",
+    "Cory Paza",
    "Tak",
-    "Lisster",
    "Zach Gonser",
    "Big Red",
    "whudunit",
    "Luc Job",
    "dl0901dm",
+    "Philip Hempel",
    "corde",
    "Nick Walker",
-    "Yushio",
-    "Vik71it",
    "Bishoujoker",
-    "Todd Keck",
+    "aai",
    "Briton Heilbrun",
    "Tori",
    "wildnut",
    "jean jahren",
    "Aleksander Wujczyk",
    "AM Kuro",
-    "BadassArabianMofo",
    "Pascal Dahle",
    "Penfore",
-    "Greg",
+    "Sangheili460",
    "MagnaInsomnia",
+    "Karl P.",
    "Akira_HentAI",
    "Gordon Cole",
    "AbstractAss",
-    "lmsupporter",
    "andrew.tappan",
    "N/A",
+    "The Spawn",
+    "graysock",
    "Greenmoustache",
    "zounic",
-    "wfpearl",
+    "fancypants",
    "Eldithor",
-    "Jack B Nimble",
+    "Digital",
    "JaxMax",
-    "bh",
+    "takyamtom",
    "Jwk0205",
-    "Starkselle",
+    "Bro Xie",
+    "batblue",
+    "carey6409",
    "Olive",
-    "Aaron Bleuer",
-    "LacesOut!",
-    "greebles",
+    "太郎 ゲーム",
    "Some Guy Named Barry",
    "Cosmosis",
-    "M Postkasse",
+    "AELOX",
+    "Nicfit23",
    "FloPro4Sho",
    "wamekukyouzin",
-    "Jacob Hoehler",
+    "drum matthieu",
+    "Dogmaster",
    "Matt Wenzel",
-    "Weasyl",
    "Lex Song",
-    "Cory Paza",
+    "Christopher Michel",
    "Gonzalo Andre Allendes Lopez",
    "Serge Bekenkamp",
    "Jimmy Ledbetter",
-    "Philip Hempel",
+    "LeoZero",
+    "Antonio Pontes",
    "ApathyJones",
    "Julian V",
    "Steven Owens",
+    "nahinahi9",
+    "Dustin Chen",
    "dan",
-    "aai",
    "Mouthlessman",
    "otaku fra",
    "ViperC",
    "Ran C",
    "MiraiKuriyamaSy",
-    "Sangheili460",
-    "Karl P.",
    "yuxz69",
    "Adam Taylor",
    "Weird_With_A_Beard",
    "esthe",
-    "The Spawn",
-    "graysock",
    "Pozadine1",
    "Qarob",
    "AIGooner",
    "Luc",
    "ProtonPrince",
    "DiffDuck",
-    "fancypants",
+    "elu3199",
+    "Hasturkun",
+    "Jon Sandman",
+    "Ubivis",
+    "CloudValley",
+    "linnfrey",
    "IamAyam",
+    "skaterb949",
    "Joboshy",
-    "Digital",
-    "takyamtom",
    "Bohemian Corporal",
    "Dan",
    "confiscated Zyra",
-    "Bro Xie",
    "yer fey",
-    "batblue",
-    "carey6409",
-    "太郎 ゲーム",
+    "Error_Rule34_Not_found",
    "Roslynd",
    "Tee Gee",
    "jinxedx",
    "tarek helmi",
    "Neco28",
    "Max Marklund",
-    "AELOX",
+    "David Ortega",
    "Dankin",
-    "Nicfit23",
    "Cristian Vazquez",
-    "drum matthieu",
-    "Dogmaster",
    "Frank Nitty",
    "Magic Noob",
    "Pronredn",
-    "Christopher Michel",
    "DougPeterson",
-    "LeoZero",
-    "Antonio Pontes",
+    "Jeff",
    "Bruce",
-    "nahinahi9",
    "lh qwe",
    "Kevin John Duck",
    "conner",
-    "Dustin Chen",
+    "Kevin Christopher",
    "Blackfish95",
+    "dd",
    "Princess Bright Eyes",
    "Paul Kroll",
    "Felipe dos Santos",
    "Bas Imagineer",
-    "Markus",
    "John Statham",
    "Douglas Gaspar",
    "AlexDuKaNa",
    "George",
    "dw",
    "decoy",
-    "elu3199",
-    "Hasturkun",
-    "Jon Sandman",
-    "Ubivis",
-    "CloudValley",
    "thesoftwaredruid",
    "wundershark",
    "mr_dinosaur",
@@ -243,61 +249,65 @@
    "Ray Wing",
    "Ranzitho",
    "Gus",
+    "地獄の禄",
    "MJG",
    "David LaVallee",
-    "linnfrey",
-    "奚明 刘",
-    "Josef Lanzl",
-    "Nerezza",
-    "sanborondon",
-    "Griffin Dahlberg",
-    "준희 김",
-    "Error_Rule34_Not_found",
-    "Taylor Funk",
-    "aezin",
-    "jcay015",
-    "Gerald Welly",
-    "Erik Lopez",
-    "Mateo Curić",
-    "Geolog",
-    "Eris3D",
-    "Tomohiro Baba",
-    "David Ortega",
-    "Noora",
-    "Mattssn",
-    "a _",
-    "Jeff",
-    "James Coleman",
-    "Kevin Christopher",
-    "Emil Andersson",
-    "Ouro Boros",
-    "Chad Idk",
-    "dd",
-    "Steam Steam",
-    "CryptoTraderJK",
-    "Davaitamin",
-    "Dušan Ryban",
-    "tedcor",
-    "Sam",
-    "Fotek Design",
-    "sjon kreutz",
-    "MadSpin",
-    "Metryman55",
-    "inbijiburu",
-    "Nick “Loadstone” D",
-    "地獄の禄",
    "ae",
    "Tr4shP4nda",
-    "Gamalonia",
    "WRL_SPR",
    "capn",
    "Joseph",
-    "momokai",
    "Mirko Katzula",
    "dan",
    "Piccio08",
    "kumakichi",
    "cppbel",
+    "奚明 刘",
+    "Brian M",
+    "Josef Lanzl",
+    "Nerezza",
+    "sanborondon",
+    "준희 김",
+    "Taylor Funk",
+    "aezin",
+    "Thought2Form",
+    "jcay015",
+    "Gerald Welly",
+    "Kevin Picco",
+    "Erik Lopez",
+    "Mateo Curić",
+    "Geolog",
+    "Eris3D",
+    "Tomohiro Baba",
+    "m",
+    "Noora",
+    "Pierce McBride",
+    "Mattssn",
+    "Mikko Hemilä",
+    "Jamie Ogletree",
+    "a _",
+    "James Coleman",
+    "Martial",
+    "Emil Andersson",
+    "Ouro Boros",
+    "Chad Idk",
+    "Steam Steam",
+    "CryptoTraderJK",
+    "Yuji Kaneko",
+    "Davaitamin",
+    "Dušan Ryban",
+    "Rops Alot",
+    "tedcor",
+    "Sam",
+    "Fotek Design",
+    "sjon kreutz",
+    "Ace Ventura",
+    "MadSpin",
+    "Metryman55",
+    "inbijiburu",
+    "Nick “Loadstone” D",
+    "Gamalonia",
+    "momokai",
    "starbugx",
    "Moon Knight",
    "몽타주",
@@ -306,59 +316,13 @@
    "kudari",
    "Naomi Hale Danchi",
    "dc7431",
+    "ken",
    "epicgamer0020690",
    "Joshua Porrata",
+    "keemun",
    "SuBu",
    "RedPIXel",
-    "Vir",
-    "Richard",
-    "Andrew",
-    "Brian M",
-    "Robert Wegemund",
-    "Littlehuggy",
-    "Draven T",
-    "mrjuan",
-    "Brian Buie",
-    "Thought2Form",
-    "Kevin Picco",
-    "Sadlip",
-    "Aquatic Coffee",
-    "m",
-    "ethanfel",
-    "Pierce McBride",
-    "Joshua Gray",
-    "Focuschannel",
-    "Mikko Hemilä",
-    "Jacob McDaniel",
-    "Jamie Ogletree",
-    "Temikus",
-    "Artokun",
-    "Michael Taylor",
-    "Derek Baker",
-    "Martial",
-    "Anthony Faxlandez",
-    "battu",
-    "Michael Anthony Scott",
-    "Atilla Berke Pekduyar",
-    "Decx _",
-    "Yuji Kaneko",
-    "Pat Hen",
-    "Jordan Shaw",
-    "Rops Alot",
-    "Thesharingbrother",
-    "Ace Ventura",
-    "ResidentDeviant",
-    "四糸凜音",
-    "Nihongasuki",
-    "JC",
-    "Prompt Pirate",
-    "uwutismxd",
-    "zenobeus",
-    "ken",
-    "Crocket",
-    "keemun",
    "Wind",
-    "Jackthemind",
    "Nexus",
    "Ramneek“Guy”Ashok",
    "squid_actually",
@@ -369,6 +333,50 @@
    "JohnDoe42054",
    "BillyHill",
    "emyth",
+    "Vir",
+    "gzmzmvp",
+    "Richard",
+    "Andrew",
+    "Robert Wegemund",
+    "Littlehuggy",
+    "Gregory Kozhemiak",
+    "Draven T",
+    "mrjuan",
+    "Brian Buie",
+    "Sadlip",
+    "Eric Whitney",
+    "Joey Callahan",
+    "Aquatic Coffee",
+    "Ivan Tadic",
+    "Mike Simone",
+    "ethanfel",
+    "Joshua Gray",
+    "Morgandel",
+    "Focuschannel",
+    "Noah",
+    "Jacob McDaniel",
+    "X",
+    "Sloan Steddy",
+    "Temikus",
+    "Artokun",
+    "Michael Taylor",
+    "Derek Baker",
+    "Anthony Faxlandez",
+    "battu",
+    "Michael Anthony Scott",
+    "Atilla Berke Pekduyar",
+    "Decx _",
+    "Pat Hen",
+    "Jordan Shaw",
+    "四糸凜音",
+    "Nihongasuki",
+    "JC",
+    "Prompt Pirate",
+    "uwutismxd",
+    "FrxzenSnxw",
+    "zenobeus",
+    "Crocket",
+    "Jackthemind",
    "chriphost",
    "KitKatM",
    "ryoma",
@@ -388,43 +396,53 @@
    "Menard",
    "Skyfire83",
    "Adam Rinehart",
-    "gzmzmvp",
+    "Pitpe11",
+    "TheD1rtyD03",
+    "moonpetal",
+    "SomeDude",
+    "g9p0o",
+    "TheHolySheep",
    "raf8osz",
+    "Monte Won",
+    "SpringBootisTrash",
+    "carsten",
+    "ikok",
    "ElitaSSJ4",
+    "Wolfe7D1",
    "blikkies",
    "Chris",
-    "Gregory Kozhemiak",
+    "elleshar666",
    "Shock Shockor",
+    "ACTUALLY_the_Real_Willem_Dafoe",
    "Goldwaters",
-    "Eric Whitney",
-    "Joey Callahan",
+    "Kauffy",
    "Zude",
-    "Ivan Tadic",
-    "Mike Simone",
    "John J Linehan",
    "Kyler",
    "Elliot E",
-    "Morgandel",
    "Theerat Jiramate",
+    "Edward Kennedy",
+    "Justin Blaylock",
    "aRtFuL_DodGeR",
-    "Noah",
-    "X",
-    "Sloan Steddy",
+    "Vane Holzer",
+    "psytrax",
    "hexxish",
-    "DarkSunset",
+    "notedfakes",
    "Nathan",
    "Billy Gladky",
    "NICHOLAS BAXLEY",
+    "Michael Scott",
    "Probis",
    "Ed Wang",
+    "Wes Sims",
    "ItsGeneralButtNaked",
    "SRDB",
    "g unit",
    "Distortik",
+    "Filippo Ferrari",
    "Youguang",
    "Saya",
    "andrewzpong",
-    "FrxzenSnxw",
    "BossGame",
    "lrdchs",
    "Tree Tagger",
@@ -437,17 +455,13 @@
    "Ginnie",
    "Raku",
    "emadsultan",
-    "Pitpe11",
-    "TheD1rtyD03",
-    "moonpetal",
-    "SomeDude",
-    "g9p0o",
    "Pkrsky",
-    "TheHolySheep",
-    "Monte Won",
-    "SpringBootisTrash",
-    "carsten",
-    "ikok",
+    "nanana",
+    "FeralOpticsAI",
+    "Pavlaki",
+    "Doug+Rintoul",
+    "Noor",
+    "Yorunai",
    "quantenmecha",
    "Jason+Nash",
    "BillyBoy84",
@@ -465,43 +479,40 @@
    "Welkor",
    "David Schenck",
    "John Martin",
-    "Wolfe7D1",
    "Ink Temptation",
    "moranqianlong",
    "Kalli Core",
    "Time Valentine",
-    "elleshar666",
-    "ACTUALLY_the_Real_Willem_Dafoe",
    "Михал Михалыч",
    "Matt",
-    "Kauffy",
+    "Frogmilk",
+    "SPJ",
    "Kyron Mahan",
-    "Edward Kennedy",
-    "Justin Blaylock",
+    "Bryan Rutkowski",
    "Nick Kage",
    "TBitz33",
    "Anonym dkjglfleeoeldldldlkf",
-    "Vane Holzer",
-    "psytrax",
    "Cyrus Fett",
    "Ezokewn",
    "SendingRavens",
    "Xenon Xue",
-    "notedfakes",
+    "JackJohnnyJim",
+    "Edward Ten Eyck",
    "Michael Docherty",
-    "Michael Scott",
    "Paul Hartsuyker",
    "Henrique Faiolli",
    "elitassj",
    "Solixer",
    "Jacob Winter",
    "Ryan Presley Ng",
-    "Wes Sims",
+    "jinksta187",
    "Donor4115",
+    "Manu Thetug",
+    "Karlanx",
    "Lyavph",
    "David",
    "Meilo",
-    "Filippo Ferrari",
+    "operationancut",
    "shinonomeiro",
    "Snille",
    "MaartenAlbers",
@@ -509,6 +520,7 @@
    "xybrightsummer",
    "jreedatchison",
    "PhilW",
+    "Marcus thronico",
    "Janik",
    "Cruel",
    "MRBlack",
@@ -519,7 +531,15 @@
    "Scott",
    "Muratoraccio",
    "D",
-    "nanana",
+    "YassineKhaled",
+    "Y",
+    "MatteKey",
+    "Flob",
+    "ShiroSenpai",
+    "Inkognito",
+    "G",
+    "Tan+Huynh",
+    "D",
    "Dark_Pest",
    "Alex",
    "Jacky+Ho",
@@ -534,12 +554,7 @@
    "rsamerica",
    "sfasdfasfdsa",
    "Alan+Cano",
-    "FeralOpticsAI",
-    "Pavlaki",
    "generic404",
-    "Doug+Rintoul",
-    "Noor",
-    "Yorunai",
    "abattoirblues",
    "zounik",
    "4IXplr0r3r",
@@ -553,26 +568,27 @@
    "ja s",
    "Doug Mason",
    "Jeremy Townsend",
+    "Dave Abraham",
+    "Joaquin Hierrezuelo",
    "Locrospiel",
-    "Frogmilk",
    "Sean voets",
    "Owen Gwosdz",
-    "SPJ",
+    "Jarrid Lee",
    "Kor",
    "Joseph Hanson",
-    "Bryan Rutkowski",
+    "John Rednoulf",
+    "Boba Smith",
    "Devil Lude",
    "David Murcko",
    "Jack Dole",
    "max blo",
+    "Sauv",
    "Steven",
    "CptNeo",
-    "JackJohnnyJim",
    "TenaciousD",
    "Dmitry Ryzhov",
    "Khánh Đặng",
    "Maso",
-    "Edward Ten Eyck",
    "Eric Ketchum",
    "Kevin Wallace",
    "Jimmy Borup",
@@ -580,14 +596,10 @@
    "mercur",
    "Pete Pain",
    "RHopkirk",
-    "jinksta187",
    "Andrew Wilkinson",
    "Yavizu3d",
    "Maxim",
-    "Manu Thetug",
-    "Karlanx",
    "Yves Poezevara",
-    "operationancut",
    "Teriak47",
    "Just me",
    "Raf Stahelin",
@@ -611,7 +623,6 @@
    "pixl",
    "Robin",
    "chahknoir",
-    "Marcus thronico",
    "nd",
    "keno94d",
    "James Melzer",
@@ -625,6 +636,7 @@
    "Captain_Swag",
    "obkircher",
    "gwyar",
+    "ResidentDeviant",
    "D",
    "edgecase",
    "Neoxena",
@@ -635,6 +647,19 @@
    "SelfishMedic",
    "adderleighn",
    "EnragedAntelope",
+    "Kachac",
+    "tyrant2811",
+    "Kevin",
+    "Rune+Osnes",
+    "jcx29",
+    "cloudghost",
+    "Yongkwan+Lee",
+    "PoorStudent",
+    "lucites",
+    "Alex+Zaw",
+    "Mobius2020",
+    "ExLightSaber",
+    "YaboiRay",
    "Drizzly",
    "Sildoren",
    "Darvidous",
@@ -656,19 +681,10 @@
    "low9",
    "Winged",
    "you+halo9",
-    "YassineKhaled",
-    "YK12",
-    "MatteKey",
-    "Flob",
-    "ShiroSenpai",
    "Somebody",
-    "Inkognito",
    "Somebody",
-    "Gramer+Gumbyte",
    "Crescent~San",
-    "Tan+Huynh",
    "AiGirlTS",
-    "D",
    "datasl4ve",
    "Somebody",
    "koopa990",
@@ -677,21 +693,26 @@
    "Bula",
    "KUJYAKU",
    "Coeur+de+cochon",
+    "Obsidian.Studios",
    "han b",
+    "Zomba Mann",
    "Nico",
    "Maximilian Krischan",
    "Banana Joe",
    "_ G3n",
    "Donovan Jenkins",
+    "Hans Meier",
    "Tú Nguyễn Lý Hoàng",
    "shira1011",
    "Michael Eid",
    "beersandbacon",
+    "Neko Desco",
    "Bob barker",
    "Ben D",
    "G",
    "Ronan Delevacq",
-    "james",
+    "karim ben brik",
+    "Vinarus",
    "Michael Zhu",
    "Nemisu",
    "Seraphy",
@@ -701,30 +722,32 @@
    "jumpd",
    "John C",
    "Rim",
-    "Dave Abraham",
-    "Joaquin Hierrezuelo",
    "Jairus Knudsen",
-    "Jarrid Lee",
    "Poophead27 Blyat",
    "Xan Dionysus",
    "Nathan lee",
+    "Lyle Liston",
    "Middo",
    "Forbidden Atelier",
-    "John Rednoulf",
+    "Thomas Sankowski",
    "Spire",
    "DrB",
    "AZ Party Oasis",
    "Adictedtohumping",
-    "Boba Smith",
    "Towelie",
+    "Ryan Smith",
    "MR.Bear",
    "matt",
    "dsffsdfsdfsdfsdfsdf",
    "somethingtosay8",
    "Jean-françois SEMA",
+    "3zS4QNQ4",
+    "Terminuz",
    "Kurt",
    "ivistorm",
-    "Sauv",
+    "Ivan Imes",
+    "Faburizu",
+    "Jack Lawfield",
    "jimyjomson",
    "Borte",
    "Chase Kwon",
@@ -744,6 +767,7 @@
    "hannibal",
    "Jo+Example",
    "BrentBertram",
+    "inusanorthcape",
    "Tigon",
    "eumelzocker",
    "dxjaymz",
@@ -752,5 +776,5 @@
    "Somebody",
    "CK"
  ],
-  "totalCount": 749
+  "totalCount": 773
 }
--- a/locales/de.json
+++ b/locales/de.json
@@ -269,10 +269,10 @@
        },
        "downloadBackend": {
            "label": "Download-Backend",
-            "help": "Wähle aus, wie Modelldateien heruntergeladen werden. Python verwendet den eingebauten Downloader. aria2 verwendet den experimentellen externen Downloader-Prozess.",
+            "help": "Wähle aus, wie Modelldateien heruntergeladen werden. Python verwendet den eingebauten Downloader. aria2 verwendet den empfohlenen externen Downloader-Prozess.",
            "options": {
                "python": "Python (integriert)",
-                "aria2": "aria2 (experimentell)"
+                "aria2": "aria2 (empfohlen)"
            }
        },
        "aria2cPath": {
@@ -689,6 +689,7 @@
            "setContentRating": "Inhaltsbewertung für alle festlegen",
            "copyAll": "Alle Syntax kopieren",
            "refreshAll": "Alle Metadaten aktualisieren",
+            "repairMetadata": "Metadaten der Auswahl reparieren",
            "checkUpdates": "Auswahl auf Updates prüfen",
            "moveAll": "Alle in Ordner verschieben",
            "autoOrganize": "Automatisch organisieren",
@@ -1180,6 +1181,7 @@
                "editModelName": "Modellname bearbeiten",
                "editFileName": "Dateiname bearbeiten",
                "editBaseModel": "Basis-Modell bearbeiten",
+                "editVersionName": "Versionsname bearbeiten",
                "viewOnCivitai": "Auf Civitai anzeigen",
                "viewOnCivitaiText": "Auf Civitai anzeigen",
                "viewCreatorProfile": "Ersteller-Profil anzeigen",
@@ -1692,6 +1694,9 @@
            "batchImportBrowseFailed": "Failed to browse directory: {message}",
            "batchImportDirectorySelected": "Directory selected: {path}",
            "noRecipesSelected": "Keine Rezepte ausgewählt",
+            "repairBulkComplete": "Reparatur abgeschlossen: {repaired} repariert, {skipped} übersprungen (von {total})",
+            "repairBulkSkipped": "Keine Reparatur für die {total} ausgewählten Rezepte erforderlich",
+            "repairBulkFailed": "Reparatur der ausgewählten Rezepte fehlgeschlagen: {message}",
            "noMissingLorasInSelection": "Keine fehlenden LoRAs in ausgewählten Rezepten gefunden",
            "noLoraRootConfigured": "Kein LoRA-Stammverzeichnis konfiguriert. Bitte legen Sie ein Standard-LoRA-Stammverzeichnis in den Einstellungen fest."
        },
--- a/locales/en.json
+++ b/locales/en.json
@@ -269,10 +269,10 @@
        },
        "downloadBackend": {
            "label": "Download backend",
-            "help": "Choose how model files are downloaded. Python uses the built-in downloader. aria2 uses the experimental external downloader process.",
+            "help": "Choose how model files are downloaded. Python uses the built-in downloader. aria2 uses the recommended external downloader process.",
            "options": {
                "python": "Python (built-in)",
-                "aria2": "aria2 (experimental)"
+                "aria2": "aria2 (recommended)"
            }
        },
        "aria2cPath": {
@@ -689,6 +689,7 @@
            "setContentRating": "Set Content Rating for Selected",
            "copyAll": "Copy Selected Syntax",
            "refreshAll": "Refresh Selected Metadata",
+            "repairMetadata": "Repair Metadata for Selected",
            "checkUpdates": "Check Updates for Selected",
            "moveAll": "Move Selected to Folder",
            "autoOrganize": "Auto-Organize Selected",
@@ -1180,6 +1181,7 @@
                "editModelName": "Edit model name",
                "editFileName": "Edit file name",
                "editBaseModel": "Edit base model",
+                "editVersionName": "Edit version name",
                "viewOnCivitai": "View on Civitai",
                "viewOnCivitaiText": "View on Civitai",
                "viewCreatorProfile": "View Creator Profile",
@@ -1692,6 +1694,9 @@
            "batchImportBrowseFailed": "Failed to browse directory: {message}",
            "batchImportDirectorySelected": "Directory selected: {path}",
            "noRecipesSelected": "No recipes selected",
+            "repairBulkComplete": "Repair complete: {repaired} repaired, {skipped} skipped (of {total})",
+            "repairBulkSkipped": "No repair needed for any of the {total} selected recipes",
+            "repairBulkFailed": "Failed to repair selected recipes: {message}",
            "noMissingLorasInSelection": "No missing LoRAs found in selected recipes",
            "noLoraRootConfigured": "No LoRA root directory configured. Please set a default LoRA root in settings."
        },
--- a/locales/es.json
+++ b/locales/es.json
@@ -269,10 +269,10 @@
        },
        "downloadBackend": {
            "label": "Backend de descarga",
-            "help": "Elige cómo se descargan los archivos del modelo. Python usa el descargador integrado. aria2 usa el proceso externo experimental de descarga.",
+            "help": "Elige cómo se descargan los archivos del modelo. Python usa el descargador integrado. aria2 usa el proceso externo recomendado de descarga.",
            "options": {
                "python": "Python (integrado)",
-                "aria2": "aria2 (experimental)"
+                "aria2": "aria2 (recomendado)"
            }
        },
        "aria2cPath": {
@@ -689,6 +689,7 @@
            "setContentRating": "Establecer clasificación de contenido para todos",
            "copyAll": "Copiar toda la sintaxis",
            "refreshAll": "Actualizar todos los metadatos",
+            "repairMetadata": "Reparar metadatos de la selección",
            "checkUpdates": "Comprobar actualizaciones para la selección",
            "moveAll": "Mover todos a carpeta",
            "autoOrganize": "Auto-organizar seleccionados",
@@ -1180,6 +1181,7 @@
                "editModelName": "Editar nombre del modelo",
                "editFileName": "Editar nombre de archivo",
                "editBaseModel": "Editar modelo base",
+                "editVersionName": "Editar nombre de versión",
                "viewOnCivitai": "Ver en Civitai",
                "viewOnCivitaiText": "Ver en Civitai",
                "viewCreatorProfile": "Ver perfil del creador",
@@ -1692,6 +1694,9 @@
            "batchImportBrowseFailed": "Failed to browse directory: {message}",
            "batchImportDirectorySelected": "Directory selected: {path}",
            "noRecipesSelected": "No se han seleccionado recetas",
+            "repairBulkComplete": "Reparación completa: {repaired} reparadas, {skipped} omitidas (de {total})",
+            "repairBulkSkipped": "No se necesita reparación para ninguna de las {total} recetas seleccionadas",
+            "repairBulkFailed": "Error al reparar las recetas seleccionadas: {message}",
            "noMissingLorasInSelection": "No se encontraron LoRAs faltantes en las recetas seleccionadas",
            "noLoraRootConfigured": "No se ha configurado el directorio raíz de LoRA. Por favor, establezca un directorio raíz de LoRA predeterminado en la configuración."
        },
--- a/locales/fr.json
+++ b/locales/fr.json
@@ -269,10 +269,10 @@
        },
        "downloadBackend": {
            "label": "Moteur de téléchargement",
-            "help": "Choisissez comment les fichiers de modèles sont téléchargés. Python utilise le téléchargeur intégré. aria2 utilise le processus externe expérimental de téléchargement.",
+            "help": "Choisissez comment les fichiers de modèles sont téléchargés. Python utilise le téléchargeur intégré. aria2 utilise le processus externe recommandé de téléchargement.",
            "options": {
                "python": "Python (intégré)",
-                "aria2": "aria2 (expérimental)"
+                "aria2": "aria2 (recommandé)"
            }
        },
        "aria2cPath": {
@@ -689,6 +689,7 @@
            "setContentRating": "Définir la classification du contenu pour tous",
            "copyAll": "Copier toute la syntaxe",
            "refreshAll": "Actualiser toutes les métadonnées",
+            "repairMetadata": "Réparer les métadonnées de la sélection",
            "checkUpdates": "Vérifier les mises à jour pour la sélection",
            "moveAll": "Déplacer tout vers un dossier",
            "autoOrganize": "Auto-organiser la sélection",
@@ -1180,6 +1181,7 @@
                "editModelName": "Modifier le nom du modèle",
                "editFileName": "Modifier le nom de fichier",
                "editBaseModel": "Modifier le modèle de base",
+                "editVersionName": "Modifier le nom de la version",
                "viewOnCivitai": "Voir sur Civitai",
                "viewOnCivitaiText": "Voir sur Civitai",
                "viewCreatorProfile": "Voir le profil du créateur",
@@ -1692,6 +1694,9 @@
            "batchImportBrowseFailed": "Failed to browse directory: {message}",
            "batchImportDirectorySelected": "Directory selected: {path}",
            "noRecipesSelected": "Aucune recette sélectionnée",
+            "repairBulkComplete": "Réparation terminée : {repaired} réparée(s), {skipped} ignorée(s) (sur {total})",
+            "repairBulkSkipped": "Aucune réparation nécessaire parmi les {total} recettes sélectionnées",
+            "repairBulkFailed": "Échec de la réparation des recettes sélectionnées : {message}",
            "noMissingLorasInSelection": "Aucun LoRA manquant trouvé dans les recettes sélectionnées",
            "noLoraRootConfigured": "Aucun répertoire racine LoRA configuré. Veuillez définir un répertoire racine LoRA par défaut dans les paramètres."
        },
--- a/locales/he.json
+++ b/locales/he.json
@@ -269,10 +269,10 @@
        },
        "downloadBackend": {
            "label": "מנגנון הורדה",
-            "help": "בחר כיצד יורדים קבצי המודל. Python משתמש במוריד המובנה. aria2 משתמש בתהליך הורדה חיצוני ניסיוני.",
+            "help": "בחר כיצד יורדים קבצי המודל. Python משתמש במוריד המובנה. aria2 משתמש בתהליך הורדה חיצוני מומלץ.",
            "options": {
                "python": "Python (מובנה)",
-                "aria2": "aria2 (ניסיוני)"
+                "aria2": "aria2 (מומלץ)"
            }
        },
        "aria2cPath": {
@@ -689,6 +689,7 @@
            "setContentRating": "הגדר דירוג תוכן לכל המודלים",
            "copyAll": "העתק את כל התחבירים",
            "refreshAll": "רענן את כל המטא-דאטה",
+            "repairMetadata": "תקן מטא-דאטה עבור הנבחרים",
            "checkUpdates": "בדוק עדכונים לבחירה",
            "moveAll": "העבר הכל לתיקייה",
            "autoOrganize": "ארגן אוטומטית נבחרים",
@@ -1180,6 +1181,7 @@
                "editModelName": "ערוך שם מודל",
                "editFileName": "ערוך שם קובץ",
                "editBaseModel": "ערוך מודל בסיס",
+                "editVersionName": "ערוך שם גרסה",
                "viewOnCivitai": "הצג ב-Civitai",
                "viewOnCivitaiText": "הצג ב-Civitai",
                "viewCreatorProfile": "הצג פרופיל יוצר",
@@ -1692,6 +1694,9 @@
            "batchImportBrowseFailed": "Failed to browse directory: {message}",
            "batchImportDirectorySelected": "Directory selected: {path}",
            "noRecipesSelected": "לא נבחרו מתכונים",
+            "repairBulkComplete": "התיקון הושלם: {repaired} תוקנו, {skipped} דולגו (מתוך {total})",
+            "repairBulkSkipped": "אין צורך בתיקון עבור {total} המתכונים הנבחרים",
+            "repairBulkFailed": "תיקון המתכונים הנבחרים נכשל: {message}",
            "noMissingLorasInSelection": "לא נמצאו LoRAs חסרים במתכונים שנבחרו",
            "noLoraRootConfigured": "תיקיית השורש של LoRA לא מוגדרת. אנא הגדר תיקיית שורש LoRA ברירת מחדל בהגדרות."
        },
--- a/locales/ja.json
+++ b/locales/ja.json
@@ -269,10 +269,10 @@
        },
        "downloadBackend": {
            "label": "ダウンロードバックエンド",
-            "help": "モデルファイルのダウンロード方法を選択します。Python は内蔵ダウンローダーを使用し、aria2 は実験的な外部ダウンローダープロセスを使用します。",
+            "help": "モデルファイルのダウンロード方法を選択します。Python は内蔵ダウンローダーを使用し、aria2 は推奨の外部ダウンローダープロセスを使用します。",
            "options": {
                "python": "Python（内蔵）",
-                "aria2": "aria2（実験的）"
+                "aria2": "aria2（推奨）"
            }
        },
        "aria2cPath": {
@@ -689,6 +689,7 @@
            "setContentRating": "すべてのモデルのコンテンツレーティングを設定",
            "copyAll": "すべての構文をコピー",
            "refreshAll": "すべてのメタデータを更新",
+            "repairMetadata": "選択したレシピのメタデータを修復",
            "checkUpdates": "選択項目の更新を確認",
            "moveAll": "すべてをフォルダに移動",
            "autoOrganize": "自動整理を実行",
@@ -1180,6 +1181,7 @@
                "editModelName": "モデル名を編集",
                "editFileName": "ファイル名を編集",
                "editBaseModel": "ベースモデルを編集",
+                "editVersionName": "バージョン名を編集",
                "viewOnCivitai": "Civitaiで表示",
                "viewOnCivitaiText": "Civitaiで表示",
                "viewCreatorProfile": "作成者プロフィールを表示",
@@ -1692,6 +1694,9 @@
            "batchImportBrowseFailed": "Failed to browse directory: {message}",
            "batchImportDirectorySelected": "Directory selected: {path}",
            "noRecipesSelected": "レシピが選択されていません",
+            "repairBulkComplete": "修復完了：{repaired} 件修復、{skipped} 件スキップ（合計 {total} 件）",
+            "repairBulkSkipped": "選択した {total} 件のレシピは修復不要です",
+            "repairBulkFailed": "選択したレシピの修復に失敗しました：{message}",
            "noMissingLorasInSelection": "選択したレシピに不足している LoRA が見つかりませんでした",
            "noLoraRootConfigured": "LoRA ルートディレクトリが設定されていません。設定でデフォルトの LoRA ルートを設定してください。"
        },
--- a/locales/ko.json
+++ b/locales/ko.json
@@ -269,10 +269,10 @@
        },
        "downloadBackend": {
            "label": "다운로드 백엔드",
-            "help": "모델 파일을 다운로드하는 방식을 선택합니다. Python은 내장 다운로더를 사용하고, aria2는 실험적인 외부 다운로더 프로세스를 사용합니다.",
+            "help": "모델 파일을 다운로드하는 방식을 선택합니다. Python은 내장 다운로더를 사용하고, aria2는 권장되는 외부 다운로더 프로세스를 사용합니다.",
            "options": {
                "python": "Python(내장)",
-                "aria2": "aria2(실험적)"
+                "aria2": "aria2(권장)"
            }
        },
        "aria2cPath": {
@@ -689,6 +689,7 @@
            "setContentRating": "모든 모델에 콘텐츠 등급 설정",
            "copyAll": "모든 문법 복사",
            "refreshAll": "모든 메타데이터 새로고침",
+            "repairMetadata": "선택한 레시피 메타데이터 복구",
            "checkUpdates": "선택 항목 업데이트 확인",
            "moveAll": "모두 폴더로 이동",
            "autoOrganize": "자동 정리 선택",
@@ -1180,6 +1181,7 @@
                "editModelName": "모델명 편집",
                "editFileName": "파일명 편집",
                "editBaseModel": "베이스 모델 편집",
+                "editVersionName": "버전명 편집",
                "viewOnCivitai": "Civitai에서 보기",
                "viewOnCivitaiText": "Civitai에서 보기",
                "viewCreatorProfile": "제작자 프로필 보기",
@@ -1692,6 +1694,9 @@
            "batchImportBrowseFailed": "Failed to browse directory: {message}",
            "batchImportDirectorySelected": "Directory selected: {path}",
            "noRecipesSelected": "선택한 레시피가 없습니다",
+            "repairBulkComplete": "복구 완료: {repaired}개 복구, {skipped}개 건너뜀 (총 {total}개)",
+            "repairBulkSkipped": "선택한 {total}개 레시피는 복구가 필요하지 않습니다",
+            "repairBulkFailed": "선택한 레시피 복구 실패: {message}",
            "noMissingLorasInSelection": "선택한 레시피에서 누락된 LoRA를 찾을 수 없습니다",
            "noLoraRootConfigured": "LoRA 루트 디렉토리가 구성되지 않았습니다. 설정에서 기본 LoRA 루트를 설정하세요."
        },
--- a/locales/ru.json
+++ b/locales/ru.json
@@ -269,10 +269,10 @@
        },
        "downloadBackend": {
            "label": "Бэкенд загрузки",
-            "help": "Выберите способ загрузки файлов моделей. Python использует встроенный загрузчик. aria2 использует экспериментальный внешний процесс загрузки.",
+            "help": "Выберите способ загрузки файлов моделей. Python использует встроенный загрузчик. aria2 использует рекомендуемый внешний процесс загрузки.",
            "options": {
                "python": "Python (встроенный)",
-                "aria2": "aria2 (экспериментальный)"
+                "aria2": "aria2 (рекомендуемый)"
            }
        },
        "aria2cPath": {
@@ -689,6 +689,7 @@
            "setContentRating": "Установить рейтинг контента для всех",
            "copyAll": "Копировать весь синтаксис",
            "refreshAll": "Обновить все метаданные",
+            "repairMetadata": "Восстановить метаданные для выбранных",
            "checkUpdates": "Проверить обновления для выбранных",
            "moveAll": "Переместить все в папку",
            "autoOrganize": "Автоматически организовать выбранные",
@@ -1180,6 +1181,7 @@
                "editModelName": "Редактировать название модели",
                "editFileName": "Редактировать имя файла",
                "editBaseModel": "Редактировать базовую модель",
+                "editVersionName": "Редактировать название версии",
                "viewOnCivitai": "Посмотреть на Civitai",
                "viewOnCivitaiText": "Посмотреть на Civitai",
                "viewCreatorProfile": "Посмотреть профиль создателя",
@@ -1692,6 +1694,9 @@
            "batchImportBrowseFailed": "Failed to browse directory: {message}",
            "batchImportDirectorySelected": "Directory selected: {path}",
            "noRecipesSelected": "Рецепты не выбраны",
+            "repairBulkComplete": "Восстановление завершено: {repaired} восстановлено, {skipped} пропущено (из {total})",
+            "repairBulkSkipped": "Ни один из {total} выбранных рецептов не требует восстановления",
+            "repairBulkFailed": "Не удалось восстановить выбранные рецепты: {message}",
            "noMissingLorasInSelection": "В выбранных рецептах не найдены отсутствующие LoRAs",
            "noLoraRootConfigured": "Корневой каталог LoRA не настроен. Пожалуйста, установите корневой каталог LoRA по умолчанию в настройках."
        },
--- a/locales/zh-CN.json
+++ b/locales/zh-CN.json
@@ -269,10 +269,10 @@
        },
        "downloadBackend": {
            "label": "下载后端",
-            "help": "选择模型文件的下载方式。Python 使用内置下载器。aria2 使用实验性的外部下载进程。",
+            "help": "选择模型文件的下载方式。Python 使用内置下载器。aria2 使用推荐的外部下载进程。",
            "options": {
                "python": "Python（内置）",
-                "aria2": "aria2（实验性）"
+                "aria2": "aria2（推荐）"
            }
        },
        "aria2cPath": {
@@ -689,6 +689,7 @@
            "setContentRating": "为所选中设置内容评级",
            "copyAll": "复制所选中语法",
            "refreshAll": "刷新所选中元数据",
+            "repairMetadata": "修复所选中元数据",
            "checkUpdates": "检查所选更新",
            "moveAll": "移动所选中到文件夹",
            "autoOrganize": "自动整理所选模型",
@@ -1180,6 +1181,7 @@
                "editModelName": "编辑模型名称",
                "editFileName": "编辑文件名",
                "editBaseModel": "编辑基础模型",
+                "editVersionName": "编辑版本名称",
                "viewOnCivitai": "在 Civitai 查看",
                "viewOnCivitaiText": "在 Civitai 查看",
                "viewCreatorProfile": "查看创作者主页",
@@ -1692,6 +1694,9 @@
            "batchImportBrowseFailed": "浏览目录失败：{message}",
            "batchImportDirectorySelected": "已选择目录：{path}",
            "noRecipesSelected": "未选择任何配方",
+            "repairBulkComplete": "修复完成：{repaired} 个已修复，{skipped} 个已跳过（共 {total} 个）",
+            "repairBulkSkipped": "所选 {total} 个配方无需修复",
+            "repairBulkFailed": "修复所选配方失败：{message}",
            "noMissingLorasInSelection": "在选定的配方中未找到缺失的 LoRAs",
            "noLoraRootConfigured": "未配置 LoRA 根目录。请在设置中设置默认的 LoRA 根目录。"
        },
--- a/locales/zh-TW.json
+++ b/locales/zh-TW.json
@@ -269,10 +269,10 @@
        },
        "downloadBackend": {
            "label": "下載後端",
-            "help": "選擇模型檔案的下載方式。Python 使用內建下載器。aria2 使用實驗性的外部下載程序。",
+            "help": "選擇模型檔案的下載方式。Python 使用內建下載器。aria2 使用推薦的外部下載程序。",
            "options": {
                "python": "Python（內建）",
-                "aria2": "aria2（實驗性）"
+                "aria2": "aria2（推薦）"
            }
        },
        "aria2cPath": {
@@ -689,6 +689,7 @@
            "setContentRating": "為全部設定內容分級",
            "copyAll": "複製全部語法",
            "refreshAll": "刷新全部 metadata",
+            "repairMetadata": "修復所選中元數據",
            "checkUpdates": "檢查所選更新",
            "moveAll": "全部移動到資料夾",
            "autoOrganize": "自動整理所選模型",
@@ -1180,6 +1181,7 @@
                "editModelName": "編輯模型名稱",
                "editFileName": "編輯檔案名稱",
                "editBaseModel": "編輯基礎模型",
+                "editVersionName": "編輯版本名稱",
                "viewOnCivitai": "在 Civitai 查看",
                "viewOnCivitaiText": "在 Civitai 查看",
                "viewCreatorProfile": "查看創作者個人檔案",
@@ -1692,6 +1694,9 @@
            "batchImportBrowseFailed": "瀏覽目錄失敗：{message}",
            "batchImportDirectorySelected": "已選擇目錄：{path}",
            "noRecipesSelected": "未選取任何食譜",
+            "repairBulkComplete": "修復完成：{repaired} 個已修復，{skipped} 個已跳過（共 {total} 個）",
+            "repairBulkSkipped": "所選 {total} 個配方無需修復",
+            "repairBulkFailed": "修復所選配方失敗：{message}",
            "noMissingLorasInSelection": "在選取的食譜中未找到缺失的 LoRAs",
            "noLoraRootConfigured": "未配置 LoRA 根目錄。請在設定中設定預設的 LoRA 根目錄。"
        },
--- a/py/recipes/base.py
+++ b/py/recipes/base.py
@@ -7,7 +7,7 @@ import re
 from typing import Dict, List, Any, Optional, Tuple
 from abc import ABC, abstractmethod
 from ..config import config
-from ..utils.constants import VALID_LORA_TYPES
+from ..utils.constants import VALID_LORA_TYPES, VALID_CHECKPOINT_SUB_TYPES
 from ..utils.civitai_utils import rewrite_preview_url

 logger = logging.getLogger(__name__)
@@ -173,6 +173,20 @@ class RecipeMetadataParser(ABC):
                checkpoint['isDeleted'] = True
                return checkpoint

+            # Validate that the model type is actually a checkpoint.
+            # Unlike populate_lora_from_civitai which has this check,
+            # this function was missing type validation — allowing LoRA
+            # version data to be saved as the recipe's checkpoint when the
+            # wrong version ID was passed downstream (fixed in v2.7+).
+            model_type = civitai_data.get('model', {}).get('type', '').lower()
+            if model_type not in VALID_CHECKPOINT_SUB_TYPES:
+                logger.warning(
+                    f"Cannot populate checkpoint: model version {civitai_data.get('id')} "
+                    f"has type '{model_type}', expected one of {VALID_CHECKPOINT_SUB_TYPES}. "
+                    f"Skipping checkpoint enrichment."
+                )
+                return checkpoint
+
            if 'model' in civitai_data and 'name' in civitai_data['model']:
                checkpoint['name'] = civitai_data['model']['name']

--- a/py/recipes/parsers/civitai_image.py
+++ b/py/recipes/parsers/civitai_image.py
@@ -185,8 +185,67 @@ class CivitaiApiMetadataParser(RecipeMetadataParser):
            # Process standard resources array
            if "resources" in metadata and isinstance(metadata["resources"], list):
                for resource in metadata["resources"]:
+                    resource_type = resource.get("type", "lora")
+
+                    # Track resources with type "model" — these are checkpoint models.
+                    # The resources array is the most reliable source for checkpoint
+                    # identification because it has an explicit type field and hash,
+                    # unlike modelVersionIds which is a flat list with no type info.
+                    if resource_type == "model":
+                        checkpoint_entry = {
+                            "id": 0,
+                            "modelId": 0,
+                            "name": resource.get("name", "Unknown Model"),
+                            "version": "",
+                            "type": resource.get("type", "model"),
+                            "existsLocally": False,
+                            "localPath": None,
+                            "file_name": resource.get("name", ""),
+                            "hash": resource.get("hash", "") or "",
+                            "thumbnailUrl": "/loras_static/images/no-preview.png",
+                            "baseModel": "",
+                            "size": 0,
+                            "downloadUrl": "",
+                            "isDeleted": False,
+                        }
+
+                        # Try to look up base model from the checkpoint hash
+                        if checkpoint_entry["hash"] and metadata_provider:
+                            try:
+                                civitai_info = (
+                                    await metadata_provider.get_model_by_hash(
+                                        checkpoint_entry["hash"]
+                                    )
+                                )
+                                civitai_data, error_msg = (
+                                    (civitai_info, None)
+                                    if not isinstance(civitai_info, tuple)
+                                    else civitai_info
+                                )
+                                if civitai_data and error_msg != "Model not found":
+                                    if 'model' in civitai_data and 'name' in civitai_data['model']:
+                                        checkpoint_entry['name'] = civitai_data['model']['name']
+                                    checkpoint_entry['id'] = civitai_data.get('id', 0)
+                                    checkpoint_entry['modelId'] = civitai_data.get('modelId', 0)
+                                    if 'name' in civitai_data:
+                                        checkpoint_entry['version'] = civitai_data['name']
+                                    base_model = civitai_data.get('baseModel', '')
+                                    if base_model:
+                                        checkpoint_entry['baseModel'] = base_model
+                                        if not result['base_model']:
+                                            result['base_model'] = base_model
+                            except Exception as e:
+                                logger.error(
+                                    f"Error fetching checkpoint info for hash "
+                                    f"{checkpoint_entry['hash']}: {e}"
+                                )
+
+                        if result["model"] is None:
+                            result["model"] = checkpoint_entry
+                        continue
+
                    # Modified to process resources without a type field as potential LoRAs
-                    if resource.get("type", "lora") == "lora":
+                    if resource_type == "lora":
                        lora_hash = resource.get("hash", "")

                        # Try to get hash from the hashes field if not present in resource
--- a/py/routes/handlers/recipe_handlers.py
+++ b/py/routes/handlers/recipe_handlers.py
@@ -87,6 +87,7 @@ class RecipeHandlerSet:
            "repair_recipes": self.management.repair_recipes,
            "cancel_repair": self.management.cancel_repair,
            "repair_recipe": self.management.repair_recipe,
+            "repair_recipes_bulk": self.management.repair_recipes_bulk,
            "get_repair_progress": self.management.get_repair_progress,
            "start_batch_import": self.batch_import.start_batch_import,
            "get_batch_import_progress": self.batch_import.get_batch_import_progress,
@@ -706,6 +707,69 @@ class RecipeManagementHandler:
            self._logger.error("Error cancelling recipe repair: %s", exc, exc_info=True)
            return web.json_response({"success": False, "error": str(exc)}, status=500)

+    async def repair_recipes_bulk(self, request: web.Request) -> web.Response:
+        """Bulk repair metadata for multiple recipes by their IDs.
+
+        Accepts a JSON body with a "recipe_ids" array and iterates
+        repair_recipe_by_id over each entry, collecting statistics.
+        """
+        try:
+            await self._ensure_dependencies_ready()
+            recipe_scanner = self._recipe_scanner_getter()
+            if recipe_scanner is None:
+                return web.json_response(
+                    {"success": False, "error": "Recipe scanner unavailable"},
+                    status=503,
+                )
+
+            data = await request.json()
+            recipe_ids = data.get("recipe_ids", [])
+            if not recipe_ids:
+                return web.json_response(
+                    {"success": False, "error": "recipe_ids are required"},
+                    status=400,
+                )
+
+            total = len(recipe_ids)
+            repaired = 0
+            skipped = 0
+            errors = 0
+            recipes = []
+
+            for recipe_id in recipe_ids:
+                try:
+                    result = await recipe_scanner.repair_recipe_by_id(recipe_id)
+                    if result.get("success"):
+                        repaired += result.get("repaired", 0)
+                        skipped += result.get("skipped", 0)
+                        if result.get("recipe"):
+                            recipes.append(result["recipe"])
+                    else:
+                        errors += 1
+                except RecipeNotFoundError:
+                    skipped += 1
+                except Exception as exc:
+                    self._logger.error(
+                        "Error repairing recipe %s: %s", recipe_id, exc
+                    )
+                    errors += 1
+
+            return web.json_response({
+                "success": True,
+                "total": total,
+                "repaired": repaired,
+                "skipped": skipped,
+                "errors": errors,
+                "recipes": recipes,
+            })
+        except Exception as exc:
+            self._logger.error(
+                "Error performing bulk repair: %s", exc, exc_info=True
+            )
+            return web.json_response(
+                {"success": False, "error": str(exc)}, status=500
+            )
+
    async def repair_recipe(self, request: web.Request) -> web.Response:
        try:
            await self._ensure_dependencies_ready()
@@ -1293,11 +1357,18 @@ class RecipeManagementHandler:
                    image_info.get("meta") if civitai_image_id and image_info else None
                )
                if civitai_image_id and image_info:
+                    # modelVersionId (singular) — the primary version for this
+                    # image on CivitAI.  May be absent, or may *not* be the
+                    # checkpoint (e.g. when the image was generated with a LoRA
+                    # as the primary subject).  When absent, DO NOT fall back to
+                    # modelVersionIds[0] — that array mixes checkpoints, LoRAs,
+                    # and other model version IDs without ordering guarantees.
+                    # The downstream enrichment flow will find the real
+                    # checkpoint via meta.resources (type:"model" hash) or
+                    # meta.civitaiResources (type:"checkpoint" version ID), so
+                    # leaving model_ver_id as None is safe and avoids the bug
+                    # where a LoRA version ID was treated as the checkpoint.
                    model_ver_id = image_info.get("modelVersionId")
-                    if not model_ver_id:
-                        ids = image_info.get("modelVersionIds")
-                        if isinstance(ids, list) and ids:
-                            model_ver_id = ids[0]

                    # Inject root-level modelVersionIds into meta so downstream
                    # parsers (CivitaiApiMetadataParser) can discover ALL resources
--- a/py/routes/recipe_route_registrar.py
+++ b/py/routes/recipe_route_registrar.py
@@ -58,6 +58,7 @@ ROUTE_DEFINITIONS: tuple[RouteDefinition, ...] = (
    RouteDefinition("POST", "/api/lm/recipes/repair", "repair_recipes"),
    RouteDefinition("POST", "/api/lm/recipes/cancel-repair", "cancel_repair"),
    RouteDefinition("POST", "/api/lm/recipe/{recipe_id}/repair", "repair_recipe"),
+    RouteDefinition("POST", "/api/lm/recipes/repair-bulk", "repair_recipes_bulk"),
    RouteDefinition("GET", "/api/lm/recipes/repair-progress", "get_repair_progress"),
    RouteDefinition("POST", "/api/lm/recipes/batch-import/start", "start_batch_import"),
    RouteDefinition(
--- a/py/services/aria2_downloader.py
+++ b/py/services/aria2_downloader.py
@@ -39,7 +39,7 @@ class Aria2Transfer:


 class Aria2Downloader:
-    """Manage an aria2 RPC daemon for experimental model downloads."""
+    """Manage an aria2 RPC daemon for recommended model downloads."""

    _instance = None
    _lock = asyncio.Lock()
--- a/py/services/civitai_client.py
+++ b/py/services/civitai_client.py
@@ -410,6 +410,25 @@ class CivitaiClient:
            return None

        target_version = self._select_target_version(model_data, model_id, version_id)
+
+        # If modelVersions is empty (e.g. CivitAI cache lag for newly published
+        # models) but a specific version_id is known, fall back to fetching the
+        # version directly via the individual model-versions endpoint, then
+        # enrich it with the model-level data we already have.
+        if target_version is None and version_id is not None:
+            logger.info(
+                "modelVersions empty for model %s; falling back to direct "
+                "version lookup for %s",
+                model_id,
+                version_id,
+            )
+            version = await self._fetch_version_by_id(version_id)
+            if version:
+                self._enrich_version_with_model_data(version, model_data)
+                self._remove_comfy_metadata(version)
+                return version
+            return None
+
        if target_version is None:
            return None

--- a/py/services/model_hash_index.py
+++ b/py/services/model_hash_index.py
@@ -7,6 +7,7 @@ class ModelHashIndex:
    def __init__(self):
        self._hash_to_path: Dict[str, str] = {}
        self._filename_to_hash: Dict[str, str] = {}
+        self._autov2_to_path: Dict[str, str] = {}
        # New data structures for tracking duplicates
        self._duplicate_hashes: Dict[str, List[str]] = {}  # sha256 -> list of paths
        self._duplicate_filenames: Dict[str, List[str]] = {}  # filename -> list of paths
@@ -63,6 +64,9 @@ class ModelHashIndex:
        # Add new mappings
        self._hash_to_path[sha256] = file_path
        self._filename_to_hash[filename] = sha256
+        # AutoV2 = first 10 chars of SHA256
+        if len(sha256) >= 10:
+            self._autov2_to_path[sha256[:10]] = file_path
    
    def _get_filename_from_path(self, file_path: str) -> str:
        """Extract filename without extension from path"""
@@ -157,7 +161,12 @@ class ModelHashIndex:
                del self._duplicate_filenames[filename]
                if filename in self._filename_to_hash:
                    del self._filename_to_hash[filename]
-    
+
+        # Remove from AutoV2 index
+        autov2_keys_to_remove = [k for k, v in self._autov2_to_path.items() if v == file_path]
+        for k in autov2_keys_to_remove:
+            del self._autov2_to_path[k]
+
    def remove_by_hash(self, sha256: str) -> None:
        """Remove entry by hash"""
        sha256 = sha256.lower()
@@ -177,6 +186,10 @@ class ModelHashIndex:
        # Remove hash-to-path mapping
        del self._hash_to_path[sha256]
        
+        autov2_key = sha256[:10]
+        if autov2_key in self._autov2_to_path:
+            del self._autov2_to_path[autov2_key]
+        
        # Update filename-to-hash and duplicate filenames for all paths
        for path_to_remove in paths_to_remove:
            fname = self._get_filename_from_path(path_to_remove)
@@ -195,13 +208,24 @@ class ModelHashIndex:
                    # If only one entry remains, it's no longer a duplicate
                    del self._duplicate_filenames[fname]
    
-    def has_hash(self, sha256: str) -> bool:
-        """Check if hash exists in index"""
-        return sha256.lower() in self._hash_to_path
-    
-    def get_path(self, sha256: str) -> Optional[str]:
-        """Get file path for a hash"""
-        return self._hash_to_path.get(sha256.lower())
+    def has_hash(self, hash_value: str) -> bool:
+        """Check if hash exists in index (SHA256 or AutoV2)"""
+        normalized = hash_value.lower()
+        if normalized in self._hash_to_path:
+            return True
+        if len(normalized) == 10:
+            return normalized in self._autov2_to_path
+        return False
+
+    def get_path(self, hash_value: str) -> Optional[str]:
+        """Get file path for a hash (SHA256 or AutoV2)"""
+        normalized = hash_value.lower()
+        path = self._hash_to_path.get(normalized)
+        if path is not None:
+            return path
+        if len(normalized) == 10:
+            return self._autov2_to_path.get(normalized)
+        return None
    
    def get_hash(self, file_path: str) -> Optional[str]:
        """Get hash for a file path"""
@@ -218,6 +242,7 @@ class ModelHashIndex:
        """Clear all entries"""
        self._hash_to_path.clear()
        self._filename_to_hash.clear()
+        self._autov2_to_path.clear()
        self._duplicate_hashes.clear()
        self._duplicate_filenames.clear()
    
--- a/py/services/model_metadata_provider.py
+++ b/py/services/model_metadata_provider.py
@@ -5,7 +5,7 @@ import logging
 import random
 from typing import Optional, Dict, Tuple, Any, List, Sequence
 from .downloader import get_downloader
-from .errors import RateLimitError
+from .errors import RateLimitError, ResourceNotFoundError

 try:
    from bs4 import BeautifulSoup
@@ -482,6 +482,7 @@ class FallbackMetadataProvider(ModelMetadataProvider):
        return None, "Model not found"

    async def get_model_versions(self, model_id: str) -> Optional[Dict]:
+        not_found_confirmed = False
        for provider, label in self._iter_providers():
            try:
                result = await self._call_with_rate_limit(
@@ -492,8 +493,24 @@ class FallbackMetadataProvider(ModelMetadataProvider):
                if result:
                    return result
            except RateLimitError as exc:
+                if not_found_confirmed:
+                    logger.debug(
+                        "Suppressing rate limit from %s for model %s: "
+                        "already confirmed as not found by another provider",
+                        label,
+                        model_id,
+                    )
+                    return None
                exc.provider = exc.provider or label
                raise exc
+            except ResourceNotFoundError:
+                not_found_confirmed = True
+                logger.debug(
+                    "Provider %s reports model %s as not found",
+                    label,
+                    model_id,
+                )
+                continue
            except Exception as e:
                logger.debug("Provider %s failed for get_model_versions: %s", label, e)
                continue
--- a/py/services/recipe_scanner.py
+++ b/py/services/recipe_scanner.py
@@ -65,7 +65,7 @@ class RecipeScanner:
            cls._instance._civitai_client = None  # Will be lazily initialized
        return cls._instance

-    REPAIR_VERSION = 3
+    REPAIR_VERSION = 4

    def __init__(
        self,
@@ -292,6 +292,32 @@ class RecipeScanner:
        if recipe.get("repair_version", 0) >= self.REPAIR_VERSION:
            return False

+        # 1.5 Detect and clear corrupted checkpoint (LoRA data saved as checkpoint).
+        #     A checkpoint whose modelVersionId also appears in a LoRA entry is
+        #     definitely wrong — the CivitAI import code used to pick
+        #     modelVersionIds[0] as the checkpoint, which was often a LoRA.
+        #     Clearing it lets the enrichment flow re-resolve the correct
+        #     checkpoint from CivitAI image metadata.
+        cp = recipe.get("checkpoint")
+        lora_mvids = {
+            l.get("modelVersionId")
+            for l in recipe.get("loras", [])
+            if l.get("modelVersionId")
+        }
+        if cp and cp.get("modelVersionId") and cp["modelVersionId"] in lora_mvids:
+            cp_mvid = cp["modelVersionId"]
+            logger.info(
+                "Recipe %s: checkpoint modelVersionId %s matches a LoRA — "
+                "clearing corrupted checkpoint and removing matching LoRA entry",
+                recipe.get("id"),
+                cp_mvid,
+            )
+            recipe["checkpoint"] = None
+            recipe["loras"] = [
+                l for l in recipe.get("loras", [])
+                if l.get("modelVersionId") != cp_mvid
+            ]
+
        # 2. Identification: Is repair needed?
        has_checkpoint = (
            "checkpoint" in recipe
--- a/py/utils/example_images_download_manager.py
+++ b/py/utils/example_images_download_manager.py
@@ -397,13 +397,12 @@ class DownloadManager:

            models_with_hash = len(all_models_with_hash)

-            # Calculate pending count: check which models actually need processing
-            # A model is pending if it has a hash, is not in processed_models,
-            # and its folder doesn't exist or is empty
+            # Calculate pending count: check which models actually need processing.
+            # A model is pending if it has a hash, is not already processed or known-failed,
+            # and its folder doesn't exist or is empty.
            pending_hashes = set()
            for model_hash, model_name in all_models_with_hash:
-                if model_hash not in processed_models:
-                    # Check if model folder exists with files
+                if model_hash not in processed_models and model_hash not in failed_models:
                    model_dir = ExampleImagePathResolver.get_model_folder(
                        model_hash, active_library
                    )
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-lora-manager"
 description = "Revolutionize your workflow with the ultimate LoRA companion for ComfyUI!"
-version = "1.0.7"
+version = "1.0.9"
 license = {file = "LICENSE"}
 dependencies = [
    "aiohttp",
--- a/settings.json.example
+++ b/settings.json.example
@@ -10,13 +10,14 @@
      "C:/path/to/your/checkpoints_folder",
      "C:/path/to/another/checkpoints_folder"
    ],
+    "unet": [
+      "C:/path/to/your/diffusion_models_folder",
+      "C:/path/to/another/diffusion_models_folder"
+    ],
    "embeddings": [
      "C:/path/to/your/embeddings_folder",
      "C:/path/to/another/embeddings_folder"
    ]
  },
-  "example_images_open_mode": "system",
-  "example_images_local_root": "",
-  "example_images_open_uri_template": "",
  "auto_organize_exclusions": []
 }
--- a/static/css/components/lora-modal/lora-modal.css
+++ b/static/css/components/lora-modal/lora-modal.css
@@ -255,25 +255,28 @@
    transform: translateY(-2px);
 }

-/* File name copy styles */
-.file-name-wrapper {
+/* Editable inline field styles (file name, version name, etc.) */
+.file-name-wrapper,
+.version-name-wrapper {
    display: flex;
    align-items: center;
    gap: 8px;
-    padding: 4px;
+    padding: 4px 0;
    border-radius: var(--border-radius-xs);
    transition: background-color 0.2s;
    position: relative;
 }

-.file-name-content {
-    padding: 2px 4px;
+.file-name-content,
+.version-name-content {
+    padding: 2px 4px 2px 0;
    border-radius: var(--border-radius-xs);
    border: 1px solid transparent;
    flex: 1;
 }

-.file-name-wrapper.editing .file-name-content {
+.file-name-wrapper.editing .file-name-content,
+.version-name-wrapper.editing .version-name-content {
    border: 1px solid var(--lora-accent);
    background: var(--bg-color);
    outline: none;
@@ -283,7 +286,8 @@
 .edit-model-name-btn,
 .edit-file-name-btn,
 .edit-base-model-btn,
-.edit-model-description-btn {
+.edit-model-description-btn,
+.edit-version-name-btn {
    background: transparent;
    border: none;
    color: var(--text-color);
@@ -299,9 +303,11 @@
 .edit-file-name-btn.visible,
 .edit-base-model-btn.visible,
 .edit-model-description-btn.visible,
+.edit-version-name-btn.visible,
 .model-name-header:hover .edit-model-name-btn,
 .file-name-wrapper:hover .edit-file-name-btn,
 .base-model-display:hover .edit-base-model-btn,
+.version-name-wrapper:hover .edit-version-name-btn,
 .model-name-header:hover .edit-model-description-btn {
    opacity: 0.5;
 }
@@ -309,14 +315,16 @@
 .edit-model-name-btn:hover,
 .edit-file-name-btn:hover,
 .edit-base-model-btn:hover,
-.edit-model-description-btn:hover {
+.edit-model-description-btn:hover,
+.edit-version-name-btn:hover {
    opacity: 0.8 !important;
    background: rgba(0, 0, 0, 0.05);
 }

 [data-theme="dark"] .edit-model-name-btn:hover,
 [data-theme="dark"] .edit-file-name-btn:hover,
-[data-theme="dark"] .edit-base-model-btn:hover {
+[data-theme="dark"] .edit-base-model-btn:hover,
+[data-theme="dark"] .edit-version-name-btn:hover {
    background: rgba(255, 255, 255, 0.05);
 }

@@ -338,7 +346,7 @@
 }

 .base-model-content {
-    padding: 2px 4px;
+    padding: 2px 4px 2px 0;
    border-radius: var(--border-radius-xs);
    border: 1px solid transparent;
    color: var(--text-color);
--- a/static/js/api/recipeApi.js
+++ b/static/js/api/recipeApi.js
@@ -15,6 +15,7 @@ const RECIPE_ENDPOINTS = {
    move: '/api/lm/recipe/move',
    moveBulk: '/api/lm/recipes/move-bulk',
    bulkDelete: '/api/lm/recipes/bulk-delete',
+    repairBulk: '/api/lm/recipes/repair-bulk',
 };

 const RECIPE_SIDEBAR_CONFIG = {
@@ -557,6 +558,38 @@ export class RecipeSidebarApiClient {
        };
    }

+    async repairBulkModels(filePaths) {
+        if (!filePaths || filePaths.length === 0) {
+            throw new Error('No file paths provided');
+        }
+
+        const recipeIds = filePaths
+            .map((path) => extractRecipeId(path))
+            .filter((id) => !!id);
+
+        if (recipeIds.length === 0) {
+            throw new Error('No recipe IDs could be derived from file paths');
+        }
+
+        const response = await fetch(this.apiConfig.endpoints.repairBulk, {
+            method: 'POST',
+            headers: {
+                'Content-Type': 'application/json',
+            },
+            body: JSON.stringify({
+                recipe_ids: recipeIds,
+            }),
+        });
+
+        const result = await response.json();
+
+        if (!response.ok || !result.success) {
+            throw new Error(result.error || 'Failed to repair recipes');
+        }
+
+        return result;
+    }
+
    async bulkDeleteModels(filePaths) {
        if (!filePaths || filePaths.length === 0) {
            throw new Error('No file paths provided');
--- a/static/js/components/ContextMenu/BulkContextMenu.js
+++ b/static/js/components/ContextMenu/BulkContextMenu.js
@@ -41,6 +41,11 @@ export class BulkContextMenu extends BaseContextMenu {
        const autoOrganizeItem = this.menu.querySelector('[data-action="auto-organize"]');
        const deleteAllItem = this.menu.querySelector('[data-action="delete-all"]');
        const downloadMissingLorasItem = this.menu.querySelector('[data-action="download-missing-loras"]');
+        const repairMetadataItem = this.menu.querySelector('[data-action="repair-metadata"]');
+
+        if (repairMetadataItem) {
+            repairMetadataItem.style.display = config.repairMetadata ? 'flex' : 'none';
+        }

        if (sendToWorkflowAppendItem) {
            sendToWorkflowAppendItem.style.display = config.sendToWorkflow ? 'flex' : 'none';
@@ -127,33 +132,38 @@ export class BulkContextMenu extends BaseContextMenu {
        const resumeMetadataRefreshItem = this.menu.querySelector('[data-action="resume-metadata-refresh"]');

        if (skipMetadataRefreshItem && resumeMetadataRefreshItem) {
-            const skipCount = this.countSkipStatus(true);
-            const resumeCount = this.countSkipStatus(false);
-            const totalCount = skipCount + resumeCount;
-
-            if (skipCount === totalCount) {
+            if (!config.skipMetadataRefresh) {
                skipMetadataRefreshItem.style.display = 'none';
-                resumeMetadataRefreshItem.style.display = 'flex';
-                resumeMetadataRefreshItem.querySelector('span').textContent = translate(
-                    'loras.bulkOperations.resumeMetadataRefresh'
-                );
-            } else if (resumeCount === totalCount) {
-                skipMetadataRefreshItem.style.display = 'flex';
                resumeMetadataRefreshItem.style.display = 'none';
-                skipMetadataRefreshItem.querySelector('span').textContent = translate(
-                    'loras.bulkOperations.skipMetadataRefresh'
-                );
            } else {
-                skipMetadataRefreshItem.style.display = 'flex';
-                resumeMetadataRefreshItem.style.display = 'flex';
-                skipMetadataRefreshItem.querySelector('span').textContent = translate(
-                    'loras.bulkOperations.skipMetadataRefreshCount',
-                    { count: resumeCount }
-                );
-                resumeMetadataRefreshItem.querySelector('span').textContent = translate(
-                    'loras.bulkOperations.resumeMetadataRefreshCount',
-                    { count: skipCount }
-                );
+                const skipCount = this.countSkipStatus(true);
+                const resumeCount = this.countSkipStatus(false);
+                const totalCount = skipCount + resumeCount;
+
+                if (skipCount === totalCount) {
+                    skipMetadataRefreshItem.style.display = 'none';
+                    resumeMetadataRefreshItem.style.display = 'flex';
+                    resumeMetadataRefreshItem.querySelector('span').textContent = translate(
+                        'loras.bulkOperations.resumeMetadataRefresh'
+                    );
+                } else if (resumeCount === totalCount) {
+                    skipMetadataRefreshItem.style.display = 'flex';
+                    resumeMetadataRefreshItem.style.display = 'none';
+                    skipMetadataRefreshItem.querySelector('span').textContent = translate(
+                        'loras.bulkOperations.skipMetadataRefresh'
+                    );
+                } else {
+                    skipMetadataRefreshItem.style.display = 'flex';
+                    resumeMetadataRefreshItem.style.display = 'flex';
+                    skipMetadataRefreshItem.querySelector('span').textContent = translate(
+                        'loras.bulkOperations.skipMetadataRefreshCount',
+                        { count: resumeCount }
+                    );
+                    resumeMetadataRefreshItem.querySelector('span').textContent = translate(
+                        'loras.bulkOperations.resumeMetadataRefreshCount',
+                        { count: skipCount }
+                    );
+                }
            }
        }

@@ -251,6 +261,9 @@ export class BulkContextMenu extends BaseContextMenu {
            case 'delete-all':
                bulkManager.showBulkDeleteModal();
                break;
+            case 'repair-metadata':
+                bulkManager.repairSelectedRecipes();
+                break;
            case 'set-favorite': {
                const allFavorited = this.countFavoritedInSelection() === state.selectedModels.size;
                bulkManager.setBulkFavorites(!allFavorited);
--- a/static/js/components/shared/ModelMetadata.js
+++ b/static/js/components/shared/ModelMetadata.js
@@ -66,6 +66,12 @@ function updateModalFilePathReferences(newFilePath) {
        fileNameContent.setAttribute('data-file-path', newFilePath);
    }

+    const versionNameContent = scopedQuery('.version-name-content');
+    if (versionNameContent && versionNameContent.dataset) {
+        versionNameContent.dataset.filePath = newFilePath;
+        versionNameContent.setAttribute('data-file-path', newFilePath);
+    }
+
    const editTagsBtn = scopedQuery('.edit-tags-btn');
    if (editTagsBtn) {
        editTagsBtn.dataset.filePath = newFilePath;
@@ -516,3 +522,127 @@ export function setupFileNameEditing(filePath) {
        editBtn.classList.remove('visible');
    }
 }
+
+/**
+ * Set up version name editing functionality
+ * @param {string} filePath - File path
+ */
+export function setupVersionNameEditing(filePath) {
+    const versionNameContent = document.querySelector('.version-name-content');
+    const editBtn = document.querySelector('.edit-version-name-btn');
+
+    if (!versionNameContent || !editBtn) return;
+
+    // Store the file path in a data attribute for later use
+    versionNameContent.dataset.filePath = filePath;
+
+    // Show edit button on hover
+    const versionNameWrapper = document.querySelector('.version-name-wrapper');
+    versionNameWrapper.addEventListener('mouseenter', () => {
+        editBtn.classList.add('visible');
+    });
+
+    versionNameWrapper.addEventListener('mouseleave', () => {
+        if (!versionNameWrapper.classList.contains('editing')) {
+            editBtn.classList.remove('visible');
+        }
+    });
+
+    // Handle edit button click
+    editBtn.addEventListener('click', () => {
+        versionNameWrapper.classList.add('editing');
+        versionNameContent.setAttribute('contenteditable', 'true');
+        // Store original value for comparison later
+        versionNameContent.dataset.originalValue = versionNameContent.textContent.trim();
+        versionNameContent.focus();
+
+        // Place cursor at the end
+        const range = document.createRange();
+        const sel = window.getSelection();
+        if (versionNameContent.childNodes.length > 0) {
+            range.setStart(versionNameContent.childNodes[0], versionNameContent.textContent.length);
+            range.collapse(true);
+            sel.removeAllRanges();
+            sel.addRange(range);
+        }
+
+        editBtn.classList.add('visible');
+    });
+
+    // Handle keyboard events in edit mode
+    versionNameContent.addEventListener('keydown', function(e) {
+        if (!this.getAttribute('contenteditable')) return;
+
+        if (e.key === 'Enter') {
+            e.preventDefault();
+            this.blur(); // Trigger save on Enter
+        } else if (e.key === 'Escape') {
+            e.preventDefault();
+            // Restore original value
+            this.textContent = this.dataset.originalValue;
+            exitEditMode();
+        }
+    });
+
+    // Limit version name length
+    versionNameContent.addEventListener('input', function() {
+        if (!this.getAttribute('contenteditable')) return;
+
+        if (this.textContent.length > 100) {
+            this.textContent = this.textContent.substring(0, 100);
+            // Place cursor at the end
+            const range = document.createRange();
+            const sel = window.getSelection();
+            range.setStart(this.childNodes[0], 100);
+            range.collapse(true);
+            sel.removeAllRanges();
+            sel.addRange(range);
+
+            showToast('toast.models.nameTooLong', {}, 'warning');
+        }
+    });
+
+    // Handle focus out - save changes
+    versionNameContent.addEventListener('blur', async function() {
+        if (!this.getAttribute('contenteditable')) return;
+
+        const newVersionName = this.textContent.trim();
+        const originalValue = this.dataset.originalValue;
+
+        // Basic validation
+        if (!newVersionName) {
+            // Restore original value if empty
+            this.textContent = originalValue;
+            showToast('toast.models.nameCannotBeEmpty', {}, 'error');
+            exitEditMode();
+            return;
+        }
+
+        if (newVersionName === originalValue) {
+            // No changes, just exit edit mode
+            exitEditMode();
+            return;
+        }
+
+        try {
+            // Resolve current file path from modal state
+            const filePath = getActiveModalFilePath(this.dataset.filePath);
+
+            await getModelApiClient().saveModelMetadata(filePath, { civitai: { name: newVersionName } });
+
+            showToast('toast.models.nameUpdatedSuccessfully', {}, 'success');
+        } catch (error) {
+            console.error('Error updating version name:', error);
+            this.textContent = originalValue; // Restore original version name
+            showToast('toast.models.nameUpdateFailed', {}, 'error');
+        } finally {
+            exitEditMode();
+        }
+    });
+
+    function exitEditMode() {
+        versionNameContent.removeAttribute('contenteditable');
+        versionNameWrapper.classList.remove('editing');
+        editBtn.classList.remove('visible');
+    }
+}
--- a/static/js/components/shared/ModelModal.js
+++ b/static/js/components/shared/ModelModal.js
@@ -11,7 +11,8 @@ import { setupTabSwitching } from './ModelDescription.js';
 import {
    setupModelNameEditing,
    setupBaseModelEditing,
-    setupFileNameEditing
+    setupFileNameEditing,
+    setupVersionNameEditing
 } from './ModelMetadata.js';
 import { setupTagEditMode } from './ModelTags.js';
 import { getModelApiClient } from '../../api/modelApiFactory.js';
@@ -466,7 +467,12 @@ export async function showModelModal(model, modelType) {
                    <div class="info-grid">
                        <div class="info-item">
                            <label>${translate('modals.model.metadata.version', {}, 'Version')}</label>
-                            <span>${modelWithFullData.civitai?.name || 'N/A'}</span>
+                            <div class="version-name-wrapper">
+                                <span class="version-name-content">${modelWithFullData.civitai?.name || 'N/A'}</span>
+                                <button class="edit-version-name-btn" title="${translate('modals.model.actions.editVersionName', {}, 'Edit version name')}">
+                                    <i class="fas fa-pencil-alt"></i>
+                                </button>
+                            </div>
                        </div>
                        <div class="info-item">
                            <label>${translate('modals.model.metadata.fileName', {}, 'File Name')}</label>
@@ -660,6 +666,7 @@ export async function showModelModal(model, modelType) {
    setupTagTooltip();
    setupTagEditMode(modelType);
    setupModelNameEditing(modelWithFullData.file_path);
+    setupVersionNameEditing(modelWithFullData.file_path);
    setupBaseModelEditing(modelWithFullData.file_path);
    setupFileNameEditing(modelWithFullData.file_path);
    setupEventHandlers(modelWithFullData.file_path, modelType);
--- a/static/js/managers/BulkManager.js
+++ b/static/js/managers/BulkManager.js
@@ -85,7 +85,8 @@ export class BulkManager {
                setContentRating: false,
                skipMetadataRefresh: false,
                setFavorite: true,
-                unfavorite: true
+                unfavorite: true,
+                repairMetadata: true
            }
        };

@@ -656,6 +657,76 @@ export class BulkManager {
        }
    }

+    async repairSelectedRecipes() {
+        if (state.selectedModels.size === 0) {
+            showToast('toast.recipes.noRecipesSelected', {}, 'warning');
+            return;
+        }
+
+        if (state.currentPageType !== 'recipes') {
+            showToast('This operation is only available for recipes', {}, 'warning');
+            return;
+        }
+
+        try {
+            const apiClient = this.getActiveApiClient();
+            const filePaths = Array.from(state.selectedModels);
+
+            if (typeof apiClient.repairBulkModels !== 'function') {
+                showToast('Bulk repair is not supported for this model type', {}, 'error');
+                return;
+            }
+
+            state.loadingManager.showSimpleLoading('Repairing recipe metadata...');
+
+            const result = await apiClient.repairBulkModels(filePaths);
+
+            if (result.success) {
+                const total = result.total || filePaths.length;
+                const repaired = result.repaired || 0;
+                const skipped = result.skipped || 0;
+
+                const recipes = result.recipes || [];
+                for (const recipe of recipes) {
+                    if (recipe.file_path) {
+                        state.virtualScroller.updateSingleItem(
+                            recipe.file_path,
+                            recipe
+                        );
+                    }
+                }
+
+                if (repaired > 0) {
+                    showToast(
+                        'toast.recipes.repairBulkComplete',
+                        { repaired, skipped, total },
+                        'success'
+                    );
+                } else {
+                    showToast(
+                        'toast.recipes.repairBulkSkipped',
+                        { total },
+                        'info'
+                    );
+                }
+
+                this.clearSelection();
+            } else {
+                throw new Error(result.error || 'Bulk repair failed');
+            }
+        } catch (error) {
+            console.error('Error during bulk recipe repair:', error);
+            showToast('toast.recipes.repairBulkFailed', { message: error.message }, 'error');
+        } finally {
+            if (state.loadingManager?.hide) {
+                state.loadingManager.hide();
+            }
+            if (typeof state.loadingManager?.restoreProgressBar === 'function') {
+                state.loadingManager.restoreProgressBar();
+            }
+        }
+    }
+
    async refreshAllMetadata() {
        if (state.selectedModels.size === 0) {
            showToast('toast.models.noModelsSelected', {}, 'warning');
--- a/static/js/managers/UpdateService.js
+++ b/static/js/managers/UpdateService.js
@@ -731,9 +731,16 @@ export class UpdateService {
    }
    
    // Simple markdown parser for changelog items
+    // Simple markdown parser for changelog items
+    // Escape HTML entities first so angle brackets in content (e.g. `<lora:x>`)
+    // aren't swallowed by innerHTML's HTML parser as invalid tags
    parseMarkdown(text) {
        if (!text) return '';
        
+        text = text.replace(/&/g, '&amp;');
+        text = text.replace(/</g, '&lt;');
+        text = text.replace(/>/g, '&gt;');
+        
        // Handle bold text (**text**)
        text = text.replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>');
        
--- a/templates/components/context_menu.html
+++ b/templates/components/context_menu.html
@@ -80,6 +80,9 @@
        <div class="context-menu-item" data-action="check-updates">
            <i class="fas fa-bell"></i> <span>{{ t('loras.bulkOperations.checkUpdates') }}</span>
        </div>
+        <div class="context-menu-item" data-action="repair-metadata">
+            <i class="fas fa-tools"></i> <span>{{ t('loras.bulkOperations.repairMetadata') }}</span>
+        </div>
        <div class="context-menu-item" data-action="skip-metadata-refresh">
            <i class="fas fa-ban"></i> <span>{{ t('loras.bulkOperations.skipMetadataRefresh') }}</span>
        </div>
--- a/tests/routes/test_recipe_routes.py
+++ b/tests/routes/test_recipe_routes.py
@@ -467,7 +467,10 @@ async def test_import_remote_recipe(monkeypatch, tmp_path: Path) -> None:
    class Provider:
        async def get_model_version_info(self, model_version_id):
            provider_calls.append(model_version_id)
-            return {"baseModel": "Flux Provider"}, None
+            return {
+                "baseModel": "Flux Provider",
+                "model": {"type": "Checkpoint", "name": "Flux"},
+            }, None

    async def fake_get_default_metadata_provider():
        return Provider()
--- a/tests/services/test_civitai_image_parser.py
+++ b/tests/services/test_civitai_image_parser.py
@@ -298,3 +298,113 @@ async def test_parse_metadata_handles_modelVersionIds(monkeypatch):
    assert lora2["type"] == "lora"
    assert lora2["hash"] == "aabbccdd0022"
    assert lora2["baseModel"] == "SDXL"
+
+
+@pytest.mark.asyncio
+async def test_parse_metadata_extracts_checkpoint_from_resources_model_type(monkeypatch):
+    """resources entries with type:"model" should be captured as the checkpoint,
+    not skipped (which was the old buggy behavior), and not mixed into loras."""
+    captured_hashes = []
+
+    async def fake_metadata_provider():
+        class Provider:
+            async def get_model_by_hash(self, model_hash):
+                captured_hashes.append(model_hash)
+                if model_hash == "a1b2c3d4e5":
+                    return ({
+                        "id": 999,
+                        "modelId": 888,
+                        "name": "v1.0",
+                        "model": {"name": "Real Checkpoint", "type": "Checkpoint"},
+                        "baseModel": "SDXL 1.0",
+                        "images": [{"url": "https://image.civitai.com/cp/original=true"}],
+                        "files": [{"type": "Model", "primary": True, "sizeKB": 1024, "name": "cp.safetensors"}]
+                    }, None)
+                return None, "Model not found"
+
+        return Provider()
+
+    monkeypatch.setattr(
+        "py.recipes.parsers.civitai_image.get_default_metadata_provider",
+        fake_metadata_provider,
+    )
+
+    parser = CivitaiApiMetadataParser()
+
+    metadata = {
+        "prompt": "test",
+        "resources": [
+            {"hash": "a1b2c3d4e5", "name": "Real Checkpoint", "type": "model"},
+            {"hash": "f6g7h8i9j0", "name": "Some LoRA", "type": "lora", "weight": 0.8},
+        ],
+        "Model hash": "a1b2c3d4e5",
+    }
+
+    result = await parser.parse_metadata(metadata)
+
+    # The type:"model" resource should be in result["model"], not in result["loras"]
+    assert result["model"] is not None, "checkpoint model should be extracted"
+    assert result["model"]["name"] == "Real Checkpoint"
+    assert result["model"]["hash"] == "a1b2c3d4e5"
+    assert result["model"]["type"] == "model"
+
+    # The LoRA resource should be in result["loras"]
+    assert len(result["loras"]) == 1
+    assert result["loras"][0]["name"] == "Some LoRA"
+
+    # The checkpoint hash should have triggered a lookup
+    assert "a1b2c3d4e5" in captured_hashes
+
+
+@pytest.mark.asyncio
+async def test_parse_metadata_resources_model_type_does_not_duplicate_checkpoint_in_loras(monkeypatch):
+    """When a resources entry has type:"model", it should NOT also appear in loras.
+    Regression test for the bug where the checkpoint model appeared in both places."""
+    async def fake_metadata_provider():
+        class Provider:
+            async def get_model_by_hash(self, model_hash):
+                if model_hash == "cp123hash":
+                    return ({
+                        "id": 100,
+                        "modelId": 200,
+                        "name": "v2",
+                        "model": {"name": "My Checkpoint", "type": "Checkpoint"},
+                        "baseModel": "SDXL",
+                        "files": [{"type": "Model", "primary": True, "sizeKB": 1024, "name": "cp.safetensors"}]
+                    }, None)
+                if model_hash == "lora1hash":
+                    return ({
+                        "id": 300,
+                        "modelId": 400,
+                        "name": "v1",
+                        "model": {"name": "Style LoRA", "type": "LORA"},
+                        "baseModel": "SDXL",
+                        "files": [{"type": "Model", "primary": True, "sizeKB": 512, "name": "style.safetensors"}]
+                    }, None)
+                return None, "Model not found"
+
+        return Provider()
+
+    monkeypatch.setattr(
+        "py.recipes.parsers.civitai_image.get_default_metadata_provider",
+        fake_metadata_provider,
+    )
+
+    parser = CivitaiApiMetadataParser()
+    metadata = {
+        "resources": [
+            {"hash": "cp123hash", "name": "My Checkpoint", "type": "model"},
+            {"hash": "lora1hash", "name": "Style LoRA", "type": "lora", "weight": 0.5},
+        ],
+    }
+
+    result = await parser.parse_metadata(metadata)
+
+    # Checkpoint must NOT appear in loras
+    lora_names = {l["name"] for l in result["loras"]}
+    assert "My Checkpoint" not in lora_names
+    assert "Style LoRA" in lora_names
+
+    # Checkpoint must be in result["model"]
+    assert result["model"] is not None
+    assert result["model"]["name"] == "My Checkpoint"
--- a/tests/services/test_recipe_repair.py
+++ b/tests/services/test_recipe_repair.py
@@ -94,7 +94,7 @@ async def test_repair_all_recipes_with_enriched_checkpoint_id(setup_scanner):
        "id": 5678,
        "modelId": 1234,
        "name": "v1.0",
-        "model": {"name": "Full Model Name"},
+        "model": {"name": "Full Model Name", "type": "Checkpoint"},
        "baseModel": "SDXL 1.0",
        "images": [{"url": "https://image.url/thumb.jpg"}],
        "files": [{"type": "Model", "hashes": {"SHA256": "ABCDEF"}, "name": "full_filename.safetensors"}]
@@ -142,7 +142,7 @@ async def test_repair_all_recipes_supports_civitai_red_source_url(setup_scanner)
            "id": 5678,
            "modelId": 1234,
            "name": "v1.0",
-            "model": {"name": "Full Model Name"},
+            "model": {"name": "Full Model Name", "type": "Checkpoint"},
            "baseModel": "SDXL 1.0",
            "images": [{"url": "https://image.url/thumb.jpg"}],
            "files": [
@@ -183,7 +183,7 @@ async def test_repair_all_recipes_with_enriched_checkpoint_hash(setup_scanner):
        "id": 999,
        "modelId": 888,
        "name": "v2.0",
-        "model": {"name": "Hashed Model"},
+        "model": {"name": "Hashed Model", "type": "Checkpoint"},
        "baseModel": "SD 1.5",
        "files": [{"type": "Model", "hashes": {"SHA256": "hash123"}, "name": "hashed.safetensors"}]
    }, None)
Author	SHA1	Message	Date
Will Miao	60175334b5	chore(release): bump version to v1.0.9	2026-05-28 21:46:46 +08:00
Will Miao	f65a01df00	feat(recipe): add bulk Repair Metadata for Selected operation to recipes page Adds a new bulk operation in the recipes page that allows users to select multiple recipes and repair their metadata in batch. Backend: - New POST /api/lm/recipes/repair-bulk endpoint accepting recipe_ids array - repair_recipes_bulk handler iterates repair_recipe_by_id for each recipe - Response includes per-recipe updated data for frontend card refresh Frontend: - Bulk context menu: new 'Repair Metadata for Selected' item in Metadata section - BulkManager.repairSelectedRecipes() with loading/toast flow - Uses VirtualScroller.updateSingleItem() per repaired recipe (no full reload) - Visibility controlled via repairMetadata actionConfig flag Locales: - Added repairMetadata, repairBulkComplete, repairBulkSkipped, repairBulkFailed - Translated across all 9 supported languages	2026-05-28 20:16:59 +08:00
Will Miao	430e24d70b	fix(ui): hide skip-metadata-refresh bulk menu items for recipes	2026-05-28 19:11:49 +08:00
Will Miao	14f0c48fdd	fix(recipe): detect and repair corrupted checkpoints in repair flow Add corruption detection to _repair_single_recipe: if checkpoint.modelVersionId matches any LoRA's modelVersionId, the checkpoint is corrupted (a LoRA was saved as checkpoint). Clear the checkpoint and remove the matching LoRA entry, then let enrichment re-resolve the correct checkpoint from CivitAI metadata. This fixes the retroactive repair path for the modelVersionIds[0] fallback bug.	2026-05-28 17:19:27 +08:00
Will Miao	34791c2ad7	fix(recipe): use resources type field to identify checkpoint instead of modelVersionIds[0] When importing a CivitAI image as a recipe, modelVersionIds[0] was blindly used as the checkpoint version ID. This array mixes checkpoints and LoRAs without ordering guarantees, causing LoRAs to be saved as the recipe checkpoint. Fix by: 1. Removing the modelVersionIds[0] fallback in _download_remote_media 2. Parsing resources entries with type:"model" as the checkpoint 3. Adding model type validation in populate_checkpoint_from_civitai Also add 2 tests for the new behavior and fix 3 tests whose mocks lacked the required model.type field.	2026-05-28 15:46:38 +08:00
Will Miao	3f6824eef6	fix(example-images): exclude failed_models from check_pending_models pending count Previously check_pending_models() only skipped models already in processed_models, so models that had permanently failed (no CivitAI images available, download errors) were forever reported as "pending". This caused repeated auto-download cycles with no actual work to do. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-28 12:00:25 +08:00
Will Miao	3919dfa3f4	fix(metadata): suppress rate-limit propagation when model already confirmed deleted When CivitAI returns 404 (ResourceNotFoundError) and a fallback provider like CivArchive subsequently rate-limits, the ChainedMetadataProvider now suppresses the RateLimitError instead of propagating it. Previously, the rate-limit error would bubble up through _refresh_single_model and cause the outer retry loop to re-process the same model repeatedly, producing dozens of duplicate "Model X is no longer available" log messages and wasting API quota. The model is NOT permanently marked as ignored — its last_checked_at timestamp is preserved, so it will be retried on the next refresh cycle when the rate limit has cleared and CivArchive may still have the data. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-28 11:56:22 +08:00
Will Miao	7124b5293f	chore(settings): remove unused example_images config, add unet folder_paths example	2026-05-27 19:58:56 +08:00
Will Miao	d2a04f8993	fix(model-hash-index): clean up AutoV2 entry in remove_by_hash	2026-05-27 19:38:08 +08:00
pixelpaws	7027a7c270	Merge pull request #946 from 1756141021/fix/autov2-hash-matching fix: match local LoRAs by AutoV2 hash when Civitai model is deleted	2026-05-27 19:20:31 +08:00
hein	0a1d7dfd4c	fix: match local LoRAs by AutoV2 hash when Civitai model is deleted When recipe metadata contains AutoV2 hashes (10-char short hash from image metadata) and the Civitai API cannot resolve them to SHA256 (model deleted, API offline), the local hash index failed to match because it only stored full SHA256 hashes. AutoV2 is simply SHA256[:10], so we derive it automatically in add_entry() — no extra file I/O or schema changes needed. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-05-27 14:15:01 +08:00
Will Miao	3962b1a96d	fix(civitai): fall back to direct version fetch when modelVersions is empty for newly published models	2026-05-27 06:40:13 +08:00
Will Miao	8b856276bf	fix(ui): escape HTML entities in parseMarkdown to prevent swallowed angle brackets	2026-05-27 06:40:13 +08:00
willmiao	c97c802956	docs: auto-update supporters list in README	2026-05-26 13:27:45 +00:00
Will Miao	24e2909627	chore(release): bump version to v1.0.8	2026-05-26 21:27:29 +08:00
Will Miao	b768f1368f	fix(i18n): update aria2 annotation from experimental to recommended across all locales	2026-05-26 20:22:25 +08:00
Will Miao	37ccd29fc0	feat(modal): make version name editable in model modal (#931 )	2026-05-26 20:16:35 +08:00