docs: auto-update supporters list in README

- save_metadata_updates now trims/lowercases/dedupes tags on write
- ModelFilterSet tag matching is now case-insensitive (both include/exclude)
- Removed redundant .lower() calls in tag_update_service.py

data/supporters.json

@@ -11,14 +11,15 @@
     "Insomnia Art Designs",
     "2018cfh",
     "Arlecchino Shion",
+    "Charles Blakemore",
     "Rob Williams",
     "W+K+White",
     "$MetaSamsara",
     "wackop",
     "Phil",
     "Carl G.",
-    "Charles Blakemore",
     "stone9k",
+    "Rosenthal",
     "itismyelement",
     "Mozzel",
     "Gingko Biloba",
@@ -28,7 +29,6 @@
     "DM",
     "Sen314",
     "Estragon",
-    "Rosenthal",
     "ClockDaemon",
     "Francisco Tatis",
     "Tobi_Swagg",
@@ -80,11 +80,13 @@
     "Release Cabrakan",
     "JW Sin",
     "Alex",
+    "bh",
     "carozzz",
     "Marlon Daniels",
     "James Dooley",
     "zenbound",
     "Buzzard",
+    "Aaron Bleuer",
     "Adam Shaw",
     "Mark Corneglio",
     "SarcasticHashtag",
@@ -95,6 +97,7 @@
     "James Todd",
     "Wicked Choices by ASLPro3D",
     "FinalyFree",
+    "Weasyl",
     "Steven Pfeiffer",
     "Timmy",
     "Johnny",
@@ -105,7 +108,7 @@
     "Luc Job",
     "dl0901dm",
     "corde",
-    "Nick Walker",
+    "nwalker94",
     "Yushio",
     "Vik71it",
     "Bishoujoker",
@@ -118,9 +121,12 @@
     "BadassArabianMofo",
     "Pascal Dahle",
     "Greg",
+    "Sangheili460",
+    "MagnaInsomnia",
     "Akira_HentAI",
     "lmsupporter",
     "andrew.tappan",
+    "N/A",
     "Greenmoustache",
     "zounic",
     "wfpearl",
@@ -128,20 +134,19 @@
     "Jack B Nimble",
     "JaxMax",
     "contrite831",
-    "bh",
     "Jwk0205",
     "Starkselle",
     "Olive",
-    "Aaron Bleuer",
     "LacesOut!",
     "greebles",
     "Some Guy Named Barry",
     "M Postkasse",
     "Gooohokrbe",
+    "wamekukyouzin",
     "OldBones",
     "Jacob Hoehler",
+    "Dogmaster",
     "Matt Wenzel",
-    "Weasyl",
     "Lex Song",
     "Cory Paza",
     "Gonzalo Andre Allendes Lopez",
@@ -151,20 +156,18 @@
     "Philip Hempel",
     "dan",
     "aai",
+    "Mouthlessman",
     "otaku fra",
     "jean jahren",
     "MiraiKuriyamaSy",
     "Ran C",
     "ViperC",
     "Penfore",
-    "Sangheili460",
-    "MagnaInsomnia",
     "Karl P.",
     "Gordon Cole",
     "Adam Taylor",
     "AbstractAss",
     "Weird_With_A_Beard",
-    "N/A",
     "The Spawn",
     "graysock",
     "Pozadine1",
@@ -187,15 +190,15 @@
     "太郎 ゲーム",
     "Roslynd",
     "jinxedx",
+    "Neco28",
     "Cosmosis",
+    "David Ortega",
     "AELOX",
     "Dankin",
     "Nicfit23",
     "FloPro4Sho",
     "Cristian Vazquez",
-    "wamekukyouzin",
     "drum matthieu",
-    "Dogmaster",
     "Frank Nitty",
     "Magic Noob",
     "Christopher Michel",
@@ -210,7 +213,6 @@
     "Kevin John Duck",
     "Dustin Chen",
     "Blackfish95",
-    "Mouthlessman",
     "Paul Kroll",
     "Bas Imagineer",
     "John Statham",
@@ -232,8 +234,11 @@
     "MJG",
     "David LaVallee",
     "linnfrey",
+    "ae",
+    "Tr4shP4nda",
     "IamAyam",
     "skaterb949",
+    "Brian M",
     "Josef Lanzl",
     "Nerezza",
     "sanborondon",
@@ -248,11 +253,10 @@
     "Tee Gee",
     "Geolog",
     "tarek helmi",
-    "Neco28",
     "Eris3D",
     "Max Marklund",
-    "David Ortega",
     "Pronredn",
+    "Jamie Ogletree",
     "a _",
     "Jeff",
     "lh qwe",
@@ -272,8 +276,6 @@
     "George",
     "dw",
     "地獄の禄",
-    "ae",
-    "Tr4shP4nda",
     "Gamalonia",
     "WRL_SPR",
     "capn",
@@ -289,13 +291,14 @@
     "Hailshem",
     "kudari",
     "Naomi Hale Danchi",
+    "ken",
     "epicgamer0020690",
     "Joshua Porrata",
     "SuBu",
+    "RedPIXel",
     "Richard",
     "奚明 刘",
     "Andrew",
-    "Brian M",
     "Robert Wegemund",
     "Littlehuggy",
     "준희 김",
@@ -303,6 +306,7 @@
     "Thought2Form",
     "Kevin Picco",
     "Sadlip",
+    "Joey Callahan",
     "Tomohiro Baba",
     "m",
     "Noora",
@@ -311,10 +315,10 @@
     "Mattssn",
     "Mikko Hemilä",
     "Jacob McDaniel",
-    "Jamie Ogletree",
     "Temikus",
     "Artokun",
     "Michael Taylor",
+    "Derek Baker",
     "Martial",
     "Michael Anthony Scott",
     "Emil Andersson",
@@ -338,10 +342,8 @@
     "momokai",
     "starbugx",
     "dc7431",
-    "ken",
     "Crocket",
     "keemun",
-    "RedPIXel",
     "Wind",
     "Nexus",
     "Ramneek“Guy”Ashok",
@@ -370,12 +372,13 @@
     "Vir",
     "Skyfire83",
     "Adam Rinehart",
+    "Pitpe11",
+    "TheD1rtyD03",
     "gzmzmvp",
     "Gregory Kozhemiak",
     "Draven T",
     "mrjuan",
     "Eric Whitney",
-    "Joey Callahan",
     "Aquatic Coffee",
     "Ivan Tadic",
     "Mike Simone",
@@ -389,13 +392,13 @@
     "X",
     "Sloan Steddy",
     "hexxish",
-    "Derek Baker",
     "Anthony Faxlandez",
     "battu",
     "Nathan",
     "NICHOLAS BAXLEY",
     "Pat Hen",
     "Xeeosat",
+    "Saya",
     "Ed Wang",
     "Jordan Shaw",
     "g unit",
@@ -411,8 +414,6 @@
     "Raku",
     "smart.edge5178",
     "Menard",
-    "Pitpe11",
-    "TheD1rtyD03",
     "moonpetal",
     "SomeDude",
     "g9p0o",
@@ -444,9 +445,11 @@
     "Shock Shockor",
     "ACTUALLY_the_Real_Willem_Dafoe",
     "Михал Михалыч",
+    "Matt",
     "Goldwaters",
     "Kauffy",
     "Zude",
+    "SPJ",
     "Kyler",
     "Edward Kennedy",
     "Justin Blaylock",
@@ -467,7 +470,6 @@
     "Distortik",
     "Filippo Ferrari",
     "Youguang",
-    "Saya",
     "andrewzpong",
     "BossGame",
     "lrdchs",
@@ -479,6 +481,8 @@
     "Whitepinetrader",
     "POPPIN",
     "nanana",
+    "D",
+    "Dark_Pest",
     "Alex",
     "Karru",
     "ChaChanoKo",
@@ -506,18 +510,20 @@
     "Kalli Core",
     "Christian Schäfer",
     "りん あめ",
-    "Matt",
+    "Joaquin Hierrezuelo",
     "Locrospiel",
     "Frogmilk",
-    "SPJ",
+    "Sean voets",
     "Kor",
     "Joseph Hanson",
+    "John Rednoulf",
     "Kyron Mahan",
     "Bryan Rutkowski",
     "TBitz33",
     "Anonym dkjglfleeoeldldldlkf",
     "Ezokewn",
     "SendingRavens",
+    "Steven",
     "JackJohnnyJim",
     "TenaciousD",
     "Dmitry Ryzhov",
@@ -558,6 +564,9 @@
     "Scott",
     "Muratoraccio",
     "D",
+    "Mobius2020",
+    "ExLightSaber",
+    "YaboiRay",
     "nickname",
     "Sildoren",
     "Darv",
@@ -583,8 +592,6 @@
     "Inkognito",
     "G",
     "Tan+Huynh",
-    "D",
-    "Dark_Pest",
     "Jacky+Ho",
     "generic404",
     "abattoirblues",
@@ -604,12 +611,9 @@
     "Doug Mason",
     "Jeremy Townsend",
     "Dave Abraham",
-    "Joaquin Hierrezuelo",
-    "Sean voets",
     "Owen Gwosdz",
     "Jarrid Lee",
     "Poophead27 Blyat",
-    "John Rednoulf",
     "Spire",
     "AZ Party Oasis",
     "Boba Smith",
@@ -619,11 +623,12 @@
     "Jack Dole",
     "matt",
     "somethingtosay8",
+    "Terminuz",
     "ivistorm",
     "max blo",
     "Sauv",
-    "Steven",
     "CptNeo",
+    "Borte",
     "Maso",
     "Ted Cart",
     "Sage Himeros",
@@ -642,6 +647,7 @@
     "Teriak47",
     "Just me",
     "Raf Stahelin",
+    "Nacho Ferrando",
     "Вячеслав Маринин",
     "Marcos Tortosa Carmona",
     "Dkommander22",
@@ -688,6 +694,8 @@
     "SelfishMedic",
     "adderleighn",
     "EnragedAntelope",
+    "shw",
+    "Celestial+Kitten",
     "bakeliteboy",
     "TequiTequi",
     "Homero+Banda",
@@ -717,9 +725,6 @@
     "PoorStudent",
     "lucites",
     "Alex+Zaw",
-    "Mobius2020",
-    "ExLightSaber",
-    "YaboiRay",
     "Drizzly",
     "Nebuleux",
     "Join+Chun",
@@ -745,6 +750,7 @@
     "Nico",
     "Maximilian Krischan",
     "Banana Joe",
+    "proto merp",
     "_ G3n",
     "Donovan Jenkins",
     "Hans Meier",
@@ -766,6 +772,7 @@
     "jumpd",
     "John C",
     "Rim",
+    "yfx507",
     "Room Light",
     "Jairus Knudsen",
     "Xan Dionysus",
@@ -783,19 +790,20 @@
     "TheFusion",
     "Jean-françois SEMA",
     "3zS4QNQ4",
-    "Terminuz",
     "Kurt",
     "Matt M.",
     "Ivan Imes",
     "J M",
+    "Slacks",
     "Bouya shaka",
+    "john Greene",
     "Faburizu",
     "Jack Lawfield",
     "jimyjomson",
-    "Borte",
     "JaeHyun Jang",
     "Homero Banda",
     "Chase Kwon",
+    "Bob Ling",
     "yyuvuvu",
     "Inyoshu",
     "Chad Barnes",
@@ -821,5 +829,5 @@
     "Somebody",
     "CK"
   ],
-  "totalCount": 818
+  "totalCount": 826
 }

locales/de.json

@@ -1016,6 +1016,18 @@
             "storage": "Speicher",
             "insights": "Erkenntnisse"
         },
+        "metrics": {
+            "totalModels": "Modelle gesamt",
+            "totalStorage": "Speicher gesamt",
+            "totalGenerations": "Generationen gesamt",
+            "usageRate": "Nutzungsrate",
+            "loras": "LoRAs",
+            "checkpoints": "Checkpoints",
+            "embeddings": "Embeddings",
+            "uniqueTags": "Einzigartige Tags",
+            "unusedModels": "Ungenutzte Modelle",
+            "avgUsesPerModel": "Ø Nutzungen/Modell"
+        },
         "usage": {
             "mostUsedLoras": "Meistgenutzte LoRAs",
             "mostUsedCheckpoints": "Meistgenutzte Checkpoints",
@@ -1033,13 +1045,77 @@
         },
         "insights": {
             "smartInsights": "Intelligente Erkenntnisse",
-            "recommendations": "Empfehlungen"
+            "recommendations": "Empfehlungen",
+            "noInsights": "Keine Erkenntnisse verfügbar",
+            "unusedLoras": {
+                "high": {
+                    "title": "Hohe Anzahl ungenutzter LoRAs",
+                    "description": "{percent}% Ihrer LoRAs ({count}/{total}) wurden noch nie verwendet.",
+                    "suggestion": "Erwägen Sie, ungenutzte Modelle zu organisieren oder zu archivieren, um Speicherplatz freizugeben."
+                }
+            },
+            "unusedCheckpoints": {
+                "detected": {
+                    "title": "Ungenutzte Checkpoints erkannt",
+                    "description": "{percent}% Ihrer Checkpoints ({count}/{total}) wurden noch nie verwendet.",
+                    "suggestion": "Überprüfen Sie nicht mehr benötigte Checkpoints und erwägen Sie deren Entfernung."
+                }
+            },
+            "unusedEmbeddings": {
+                "high": {
+                    "title": "Hohe Anzahl ungenutzter Embeddings",
+                    "description": "{percent}% Ihrer Embeddings ({count}/{total}) wurden noch nie verwendet.",
+                    "suggestion": "Organisieren oder archivieren Sie ungenutzte Embeddings, um Ihre Sammlung zu optimieren."
+                }
+            },
+            "collection": {
+                "large": {
+                    "title": "Große Sammlung erkannt",
+                    "description": "Ihre Modellsammlung verwendet {size} Speicher.",
+                    "suggestion": "Erwägen Sie externe Speicher- oder Cloud-Lösungen für eine bessere Organisation."
+                }
+            },
+            "activity": {
+                "active": {
+                    "title": "Aktiver Benutzer",
+                    "description": "Sie haben {count} Generationen abgeschlossen!",
+                    "suggestion": "Entdecken und erstellen Sie weiterhin großartige Inhalte mit Ihren Modellen."
+                }
+            }
         },
         "charts": {
             "collectionOverview": "Sammlungsübersicht",
             "baseModelDistribution": "Basis-Modell-Verteilung",
             "usageTrends": "Nutzungstrends (Letzte 30 Tage)",
-            "usageDistribution": "Nutzungsverteilung"
+            "usageDistribution": "Nutzungsverteilung",
+            "date": "Datum",
+            "usageCount": "Nutzungsanzahl",
+            "fileSizeBytes": "Dateigröße (Bytes)",
+            "models": "Modelle",
+            "loraUsage": "LoRA-Nutzung",
+            "checkpointUsage": "Checkpoint-Nutzung",
+            "embeddingUsage": "Embedding-Nutzung"
+        },
+        "modelTypes": {
+            "lora": "LoRA",
+            "locon": "LyCORIS",
+            "dora": "DoRA",
+            "checkpoint": "Checkpoint",
+            "diffusion_model": "Diffusionsmodell",
+            "embedding": "Embeddings"
+        },
+        "placeholders": {
+            "loading": "Lädt...",
+            "noModels": "Keine Modelle gefunden",
+            "errorLoading": "Fehler beim Laden der Daten",
+            "noStorageData": "Keine Speicherdaten verfügbar",
+            "rootFolder": "Root",
+            "chartLibraryMissing": "Diagramm benötigt Chart.js-Bibliothek"
+        },
+        "tooltips": {
+            "tagCount": "{tag}: {count} Modelle",
+            "chartUsage": "{name}: {size}, {count} Nutzungen",
+            "chartPercentage": "{label}: {value} ({pct}%)"
         }
     },
     "modals": {

locales/en.json

@@ -1016,6 +1016,18 @@
             "storage": "Storage",
             "insights": "Insights"
         },
+        "metrics": {
+            "totalModels": "Total Models",
+            "totalStorage": "Total Storage",
+            "totalGenerations": "Total Generations",
+            "usageRate": "Usage Rate",
+            "loras": "LoRAs",
+            "checkpoints": "Checkpoints",
+            "embeddings": "Embeddings",
+            "uniqueTags": "Unique Tags",
+            "unusedModels": "Unused Models",
+            "avgUsesPerModel": "Avg. Uses/Model"
+        },
         "usage": {
             "mostUsedLoras": "Most Used LoRAs",
             "mostUsedCheckpoints": "Most Used Checkpoints",
@@ -1033,13 +1045,77 @@
         },
         "insights": {
             "smartInsights": "Smart Insights",
-            "recommendations": "Recommendations"
+            "recommendations": "Recommendations",
+            "noInsights": "No insights available",
+            "unusedLoras": {
+                "high": {
+                    "title": "High Number of Unused LoRAs",
+                    "description": "{percent}% of your LoRAs ({count}/{total}) have never been used.",
+                    "suggestion": "Consider organizing or archiving unused models to free up storage space."
+                }
+            },
+            "unusedCheckpoints": {
+                "detected": {
+                    "title": "Unused Checkpoints Detected",
+                    "description": "{percent}% of your checkpoints ({count}/{total}) have never been used.",
+                    "suggestion": "Review and consider removing checkpoints you no longer need."
+                }
+            },
+            "unusedEmbeddings": {
+                "high": {
+                    "title": "High Number of Unused Embeddings",
+                    "description": "{percent}% of your embeddings ({count}/{total}) have never been used.",
+                    "suggestion": "Consider organizing or archiving unused embeddings to optimize your collection."
+                }
+            },
+            "collection": {
+                "large": {
+                    "title": "Large Collection Detected",
+                    "description": "Your model collection is using {size} of storage.",
+                    "suggestion": "Consider using external storage or cloud solutions for better organization."
+                }
+            },
+            "activity": {
+                "active": {
+                    "title": "Active User",
+                    "description": "You've completed {count} generations so far!",
+                    "suggestion": "Keep exploring and creating amazing content with your models."
+                }
+            }
         },
         "charts": {
             "collectionOverview": "Collection Overview",
             "baseModelDistribution": "Base Model Distribution",
             "usageTrends": "Usage Trends (Last 30 Days)",
-            "usageDistribution": "Usage Distribution"
+            "usageDistribution": "Usage Distribution",
+            "date": "Date",
+            "usageCount": "Usage Count",
+            "fileSizeBytes": "File Size (bytes)",
+            "models": "Models",
+            "loraUsage": "LoRA Usage",
+            "checkpointUsage": "Checkpoint Usage",
+            "embeddingUsage": "Embedding Usage"
+        },
+        "modelTypes": {
+            "lora": "LoRA",
+            "locon": "LyCORIS",
+            "dora": "DoRA",
+            "checkpoint": "Checkpoint",
+            "diffusion_model": "Diffusion Model",
+            "embedding": "Embeddings"
+        },
+        "placeholders": {
+            "loading": "Loading...",
+            "noModels": "No models found",
+            "errorLoading": "Error loading data",
+            "noStorageData": "No storage data available",
+            "rootFolder": "Root",
+            "chartLibraryMissing": "Chart requires Chart.js library"
+        },
+        "tooltips": {
+            "tagCount": "{tag}: {count} models",
+            "chartUsage": "{name}: {size}, {count} uses",
+            "chartPercentage": "{label}: {value} ({pct}%)"
         }
     },
     "modals": {

locales/es.json

@@ -1016,6 +1016,18 @@
             "storage": "Almacenamiento",
             "insights": "Perspectivas"
         },
+        "metrics": {
+            "totalModels": "Total de modelos",
+            "totalStorage": "Almacenamiento total",
+            "totalGenerations": "Generaciones totales",
+            "usageRate": "Tasa de uso",
+            "loras": "LoRAs",
+            "checkpoints": "Puntos de control",
+            "embeddings": "Embeddings",
+            "uniqueTags": "Etiquetas únicas",
+            "unusedModels": "Modelos no usados",
+            "avgUsesPerModel": "Prom. usos/modelo"
+        },
         "usage": {
             "mostUsedLoras": "LoRAs más utilizados",
             "mostUsedCheckpoints": "Checkpoints más utilizados",
@@ -1033,13 +1045,77 @@
         },
         "insights": {
             "smartInsights": "Perspectivas inteligentes",
-            "recommendations": "Recomendaciones"
+            "recommendations": "Recomendaciones",
+            "noInsights": "No hay información disponible",
+            "unusedLoras": {
+                "high": {
+                    "title": "Alta cantidad de LoRAs no utilizadas",
+                    "description": "El {percent}% de tus LoRAs ({count}/{total}) nunca se han utilizado.",
+                    "suggestion": "Considera organizar o archivar modelos no utilizados para liberar espacio."
+                }
+            },
+            "unusedCheckpoints": {
+                "detected": {
+                    "title": "Puntos de control no utilizados detectados",
+                    "description": "El {percent}% de tus puntos de control ({count}/{total}) nunca se han utilizado.",
+                    "suggestion": "Revisa y considera eliminar los puntos de control que ya no necesites."
+                }
+            },
+            "unusedEmbeddings": {
+                "high": {
+                    "title": "Alta cantidad de Embeddings no utilizados",
+                    "description": "El {percent}% de tus embeddings ({count}/{total}) nunca se han utilizado.",
+                    "suggestion": "Considera organizar o archivar embeddings no utilizados para optimizar tu colección."
+                }
+            },
+            "collection": {
+                "large": {
+                    "title": "Colección grande detectada",
+                    "description": "Tu colección de modelos está usando {size} de almacenamiento.",
+                    "suggestion": "Considera usar almacenamiento externo o soluciones en la nube para una mejor organización."
+                }
+            },
+            "activity": {
+                "active": {
+                    "title": "Usuario activo",
+                    "description": "¡Has completado {count} generaciones hasta ahora!",
+                    "suggestion": "Sigue explorando y creando contenido increíble con tus modelos."
+                }
+            }
         },
         "charts": {
             "collectionOverview": "Resumen de colección",
             "baseModelDistribution": "Distribución de modelo base",
             "usageTrends": "Tendencias de uso (Últimos 30 días)",
-            "usageDistribution": "Distribución de uso"
+            "usageDistribution": "Distribución de uso",
+            "date": "Fecha",
+            "usageCount": "Conteo de uso",
+            "fileSizeBytes": "Tamaño del archivo (bytes)",
+            "models": "Modelos",
+            "loraUsage": "Uso de LoRA",
+            "checkpointUsage": "Uso de Checkpoint",
+            "embeddingUsage": "Uso de Embedding"
+        },
+        "modelTypes": {
+            "lora": "LoRA",
+            "locon": "LyCORIS",
+            "dora": "DoRA",
+            "checkpoint": "Punto de control",
+            "diffusion_model": "Modelo de difusión",
+            "embedding": "Embeddings"
+        },
+        "placeholders": {
+            "loading": "Cargando...",
+            "noModels": "No se encontraron modelos",
+            "errorLoading": "Error al cargar datos",
+            "noStorageData": "No hay datos de almacenamiento disponibles",
+            "rootFolder": "Raíz",
+            "chartLibraryMissing": "El gráfico requiere la librería Chart.js"
+        },
+        "tooltips": {
+            "tagCount": "{tag}: {count} modelos",
+            "chartUsage": "{name}: {size}, {count} usos",
+            "chartPercentage": "{label}: {value} ({pct}%)"
         }
     },
     "modals": {

locales/fr.json

@@ -1016,6 +1016,18 @@
             "storage": "Stockage",
             "insights": "Aperçus"
         },
+        "metrics": {
+            "totalModels": "Total des modèles",
+            "totalStorage": "Stockage total",
+            "totalGenerations": "Générations totales",
+            "usageRate": "Taux d'utilisation",
+            "loras": "LoRAs",
+            "checkpoints": "Points de contrôle",
+            "embeddings": "Embeddings",
+            "uniqueTags": "Tags uniques",
+            "unusedModels": "Modèles inutilisés",
+            "avgUsesPerModel": "Moy. utilisations/modèle"
+        },
         "usage": {
             "mostUsedLoras": "LoRAs les plus utilisés",
             "mostUsedCheckpoints": "Checkpoints les plus utilisés",
@@ -1033,13 +1045,77 @@
         },
         "insights": {
             "smartInsights": "Aperçus intelligents",
-            "recommendations": "Recommandations"
+            "recommendations": "Recommandations",
+            "noInsights": "Aucun aperçu disponible",
+            "unusedLoras": {
+                "high": {
+                    "title": "Nombre élevé de LoRAs inutilisées",
+                    "description": "{percent}% de vos LoRAs ({count}/{total}) n'ont jamais été utilisées.",
+                    "suggestion": "Envisagez d'organiser ou d'archiver les modèles inutilisés pour libérer de l'espace."
+                }
+            },
+            "unusedCheckpoints": {
+                "detected": {
+                    "title": "Points de contrôle inutilisés détectés",
+                    "description": "{percent}% de vos points de contrôle ({count}/{total}) n'ont jamais été utilisés.",
+                    "suggestion": "Examinez et envisagez de supprimer les points de contrôle dont vous n'avez plus besoin."
+                }
+            },
+            "unusedEmbeddings": {
+                "high": {
+                    "title": "Nombre élevé d'Embeddings inutilisées",
+                    "description": "{percent}% de vos embeddings ({count}/{total}) n'ont jamais été utilisées.",
+                    "suggestion": "Envisagez d'organiser ou d'archiver les embeddings inutilisées pour optimiser votre collection."
+                }
+            },
+            "collection": {
+                "large": {
+                    "title": "Grande collection détectée",
+                    "description": "Votre collection de modèles utilise {size} de stockage.",
+                    "suggestion": "Envisagez d'utiliser un stockage externe ou des solutions cloud pour une meilleure organisation."
+                }
+            },
+            "activity": {
+                "active": {
+                    "title": "Utilisateur actif",
+                    "description": "Vous avez effectué {count} générations jusqu'à présent !",
+                    "suggestion": "Continuez à explorer et à créer du contenu formidable avec vos modèles."
+                }
+            }
         },
         "charts": {
             "collectionOverview": "Aperçu de la collection",
             "baseModelDistribution": "Distribution des modèles de base",
             "usageTrends": "Tendances d'utilisation (30 derniers jours)",
-            "usageDistribution": "Distribution de l'utilisation"
+            "usageDistribution": "Distribution de l'utilisation",
+            "date": "Date",
+            "usageCount": "Nombre d'utilisations",
+            "fileSizeBytes": "Taille du fichier (octets)",
+            "models": "Modèles",
+            "loraUsage": "Utilisation LoRA",
+            "checkpointUsage": "Utilisation Checkpoint",
+            "embeddingUsage": "Utilisation Embedding"
+        },
+        "modelTypes": {
+            "lora": "LoRA",
+            "locon": "LyCORIS",
+            "dora": "DoRA",
+            "checkpoint": "Point de contrôle",
+            "diffusion_model": "Modèle de diffusion",
+            "embedding": "Embeddings"
+        },
+        "placeholders": {
+            "loading": "Chargement...",
+            "noModels": "Aucun modèle trouvé",
+            "errorLoading": "Erreur de chargement des données",
+            "noStorageData": "Aucune donnée de stockage disponible",
+            "rootFolder": "Racine",
+            "chartLibraryMissing": "Le graphique nécessite la bibliothèque Chart.js"
+        },
+        "tooltips": {
+            "tagCount": "{tag}: {count} modèles",
+            "chartUsage": "{name}: {size}, {count} utilisations",
+            "chartPercentage": "{label}: {value} ({pct}%)"
         }
     },
     "modals": {

locales/he.json

@@ -1016,6 +1016,18 @@
             "storage": "אחסון",
             "insights": "תובנות"
         },
+        "metrics": {
+            "totalModels": "סה\"כ דגמים",
+            "totalStorage": "סה\"כ אחסון",
+            "totalGenerations": "סה\"כ יצירות",
+            "usageRate": "שיעור שימוש",
+            "loras": "LoRA",
+            "checkpoints": "נקודות ביקורת",
+            "embeddings": "הטמעות",
+            "uniqueTags": "תגיות ייחודיות",
+            "unusedModels": "דגמים שאינם בשימוש",
+            "avgUsesPerModel": "ממוצע שימושים/דגם"
+        },
         "usage": {
             "mostUsedLoras": "LoRAs הנפוצים ביותר",
             "mostUsedCheckpoints": "Checkpoints הנפוצים ביותר",
@@ -1033,13 +1045,77 @@
         },
         "insights": {
             "smartInsights": "תובנות חכמות",
-            "recommendations": "המלצות"
+            "recommendations": "המלצות",
+            "noInsights": "אין תובנות זמינות",
+            "unusedLoras": {
+                "high": {
+                    "title": "כמות גבוהה של LoRAs שאינן בשימוש",
+                    "description": "{percent}% מה-LoRAs שלך ({count}/{total}) מעולם לא נעשה בהם שימוש.",
+                    "suggestion": "שקול לארגן או לאחסן בארכיון מודלים שאינם בשימוש כדי לפנות שטח אחסון."
+                }
+            },
+            "unusedCheckpoints": {
+                "detected": {
+                    "title": "התגלו נקודות ביקורת שאינן בשימוש",
+                    "description": "{percent}% מנקודות הביקורת שלך ({count}/{total}) מעולם לא נעשה בהן שימוש.",
+                    "suggestion": "בדוק ושקול להסיר נקודות ביקורת שאינך צריך עוד."
+                }
+            },
+            "unusedEmbeddings": {
+                "high": {
+                    "title": "כמות גבוהה של Embeddings שאינם בשימוש",
+                    "description": "{percent}% מה-Embeddings שלך ({count}/{total}) מעולם לא נעשה בהם שימוש.",
+                    "suggestion": "שקול לארגן או לאחסן בארכיון Embeddings שאינם בשימוש כדי לייעל את האוסף."
+                }
+            },
+            "collection": {
+                "large": {
+                    "title": "התגלה אוסף גדול",
+                    "description": "אוסף המודלים שלך משתמש ב-{size} של אחסון.",
+                    "suggestion": "שקול להשתמש באחסון חיצוני או בפתרונות ענן לארגון טוב יותר."
+                }
+            },
+            "activity": {
+                "active": {
+                    "title": "משתמש פעיל",
+                    "description": "השלמת {count} יצירות עד כה!",
+                    "suggestion": "המשך לחקור וליצור תוכן מדהים עם המודלים שלך."
+                }
+            }
         },
         "charts": {
             "collectionOverview": "סקירת אוסף",
             "baseModelDistribution": "התפלגות מודלי בסיס",
             "usageTrends": "מגמות שימוש (30 יום אחרונים)",
-            "usageDistribution": "התפלגות שימוש"
+            "usageDistribution": "התפלגות שימוש",
+            "date": "תאריך",
+            "usageCount": "מספר שימושים",
+            "fileSizeBytes": "גודל קובץ (בתים)",
+            "models": "דגמים",
+            "loraUsage": "שימוש ב-LoRA",
+            "checkpointUsage": "שימוש ב-Checkpoint",
+            "embeddingUsage": "שימוש ב-Embedding"
+        },
+        "modelTypes": {
+            "lora": "LoRA",
+            "locon": "LyCORIS",
+            "dora": "DoRA",
+            "checkpoint": "נקודת ביקורת",
+            "diffusion_model": "מודל דיפוזיה",
+            "embedding": "הטמעות"
+        },
+        "placeholders": {
+            "loading": "טוען...",
+            "noModels": "לא נמצאו דגמים",
+            "errorLoading": "שגיאה בטעינת נתונים",
+            "noStorageData": "אין נתוני אחסון זמינים",
+            "rootFolder": "שורש",
+            "chartLibraryMissing": "הגרף דורש את ספריית Chart.js"
+        },
+        "tooltips": {
+            "tagCount": "{tag}: {count} דגמים",
+            "chartUsage": "{name}: {size}, {count} שימושים",
+            "chartPercentage": "{label}: {value} ({pct}%)"
         }
     },
     "modals": {

locales/ja.json

@@ -1016,6 +1016,18 @@
             "storage": "ストレージ",
             "insights": "インサイト"
         },
+        "metrics": {
+            "totalModels": "モデル総数",
+            "totalStorage": "ストレージ合計",
+            "totalGenerations": "生成回数合計",
+            "usageRate": "使用率",
+            "loras": "LoRA",
+            "checkpoints": "Checkpoint",
+            "embeddings": "Embedding",
+            "uniqueTags": "ユニークタグ",
+            "unusedModels": "未使用モデル",
+            "avgUsesPerModel": "平均使用回数/モデル"
+        },
         "usage": {
             "mostUsedLoras": "最も使用されているLoRA",
             "mostUsedCheckpoints": "最も使用されているCheckpoint",
@@ -1033,13 +1045,77 @@
         },
         "insights": {
             "smartInsights": "スマートインサイト",
-            "recommendations": "推奨事項"
+            "recommendations": "推奨事項",
+            "noInsights": "インサイトはありません",
+            "unusedLoras": {
+                "high": {
+                    "title": "未使用のLoRAが多数あります",
+                    "description": "LoRAの{percent}%（{count}/{total}）が一度も使用されていません。",
+                    "suggestion": "未使用のモデルを整理またはアーカイブしてストレージを解放してください。"
+                }
+            },
+            "unusedCheckpoints": {
+                "detected": {
+                    "title": "未使用のCheckpointを検出",
+                    "description": "Checkpointの{percent}%（{count}/{total}）が一度も使用されていません。",
+                    "suggestion": "不要なCheckpointを確認して削除を検討してください。"
+                }
+            },
+            "unusedEmbeddings": {
+                "high": {
+                    "title": "未使用のEmbeddingが多数あります",
+                    "description": "Embeddingの{percent}%（{count}/{total}）が一度も使用されていません。",
+                    "suggestion": "未使用のEmbeddingを整理またはアーカイブしてコレクションを最適化してください。"
+                }
+            },
+            "collection": {
+                "large": {
+                    "title": "大規模コレクションを検出",
+                    "description": "モデルコレクションが{size}のストレージを使用しています。",
+                    "suggestion": "外部ストレージやクラウドソリューションの使用を検討してください。"
+                }
+            },
+            "activity": {
+                "active": {
+                    "title": "アクティブユーザー",
+                    "description": "これまでに{count}回の生成を完了しました！",
+                    "suggestion": "モデルを使って素晴らしいコンテンツを作り続けてください。"
+                }
+            }
         },
         "charts": {
             "collectionOverview": "コレクション概要",
             "baseModelDistribution": "ベースモデル分布",
             "usageTrends": "使用傾向（過去30日）",
-            "usageDistribution": "使用分布"
+            "usageDistribution": "使用分布",
+            "date": "日付",
+            "usageCount": "使用回数",
+            "fileSizeBytes": "ファイルサイズ（バイト）",
+            "models": "モデル",
+            "loraUsage": "LoRA 使用量",
+            "checkpointUsage": "Checkpoint 使用量",
+            "embeddingUsage": "Embedding 使用量"
+        },
+        "modelTypes": {
+            "lora": "LoRA",
+            "locon": "LyCORIS",
+            "dora": "DoRA",
+            "checkpoint": "Checkpoint",
+            "diffusion_model": "拡散モデル",
+            "embedding": "Embedding"
+        },
+        "placeholders": {
+            "loading": "読み込み中...",
+            "noModels": "モデルが見つかりません",
+            "errorLoading": "データ読み込みエラー",
+            "noStorageData": "ストレージデータがありません",
+            "rootFolder": "ルート",
+            "chartLibraryMissing": "Chart.js ライブラリが必要です"
+        },
+        "tooltips": {
+            "tagCount": "{tag}: {count} モデル",
+            "chartUsage": "{name}: {size}, {count} 回使用",
+            "chartPercentage": "{label}: {value} ({pct}%)"
         }
     },
     "modals": {

locales/ko.json

@@ -1016,6 +1016,18 @@
             "storage": "저장소",
             "insights": "인사이트"
         },
+        "metrics": {
+            "totalModels": "모델 총계",
+            "totalStorage": "총 저장 공간",
+            "totalGenerations": "총 생성 횟수",
+            "usageRate": "사용률",
+            "loras": "LoRA",
+            "checkpoints": "Checkpoint",
+            "embeddings": "Embedding",
+            "uniqueTags": "고유 태그",
+            "unusedModels": "미사용 모델",
+            "avgUsesPerModel": "모델당 평균 사용"
+        },
         "usage": {
             "mostUsedLoras": "가장 많이 사용된 LoRA",
             "mostUsedCheckpoints": "가장 많이 사용된 Checkpoint",
@@ -1033,13 +1045,77 @@
         },
         "insights": {
             "smartInsights": "스마트 인사이트",
-            "recommendations": "추천"
+            "recommendations": "추천",
+            "noInsights": "인사이트 없음",
+            "unusedLoras": {
+                "high": {
+                    "title": "사용하지 않은 LoRA가 많음",
+                    "description": "LoRA의 {percent}%({count}/{total})가 한 번도 사용되지 않았습니다.",
+                    "suggestion": "사용하지 않는 모델을 정리하거나 보관하여 저장 공간을 확보하세요."
+                }
+            },
+            "unusedCheckpoints": {
+                "detected": {
+                    "title": "사용하지 않은 Checkpoint 감지",
+                    "description": "Checkpoint의 {percent}%({count}/{total})가 한 번도 사용되지 않았습니다.",
+                    "suggestion": "더 이상 필요하지 않은 Checkpoint를 검토하고 제거하세요."
+                }
+            },
+            "unusedEmbeddings": {
+                "high": {
+                    "title": "사용하지 않은 Embedding이 많음",
+                    "description": "Embedding의 {percent}%({count}/{total})가 한 번도 사용되지 않았습니다.",
+                    "suggestion": "사용하지 않는 Embedding을 정리하여 컬렉션을 최적화하세요."
+                }
+            },
+            "collection": {
+                "large": {
+                    "title": "대규모 컬렉션 감지",
+                    "description": "모델 컬렉션이 {size}의 저장 공간을 사용 중입니다.",
+                    "suggestion": "더 나은 관리를 위해 외부 저장소나 클라우드 솔루션을 고려하세요."
+                }
+            },
+            "activity": {
+                "active": {
+                    "title": "활성 사용자",
+                    "description": "지금까지 {count}번의 생성을 완료했습니다!",
+                    "suggestion": "모델로 계속해서 멋진 콘텐츠를 탐색하고 만들어보세요."
+                }
+            }
         },
         "charts": {
             "collectionOverview": "컬렉션 개요",
             "baseModelDistribution": "베이스 모델 분포",
             "usageTrends": "사용량 트렌드 (최근 30일)",
-            "usageDistribution": "사용량 분포"
+            "usageDistribution": "사용량 분포",
+            "date": "날짜",
+            "usageCount": "사용 횟수",
+            "fileSizeBytes": "파일 크기(바이트)",
+            "models": "모델",
+            "loraUsage": "LoRA 사용량",
+            "checkpointUsage": "Checkpoint 사용량",
+            "embeddingUsage": "Embedding 사용량"
+        },
+        "modelTypes": {
+            "lora": "LoRA",
+            "locon": "LyCORIS",
+            "dora": "DoRA",
+            "checkpoint": "Checkpoint",
+            "diffusion_model": "확산 모델",
+            "embedding": "Embedding"
+        },
+        "placeholders": {
+            "loading": "로딩 중...",
+            "noModels": "모델을 찾을 수 없음",
+            "errorLoading": "데이터 로딩 오류",
+            "noStorageData": "저장 데이터 없음",
+            "rootFolder": "루트",
+            "chartLibraryMissing": "Chart.js 라이브러리가 필요합니다"
+        },
+        "tooltips": {
+            "tagCount": "{tag}: {count}개 모델",
+            "chartUsage": "{name}: {size}, {count}회 사용",
+            "chartPercentage": "{label}: {value}({pct}%)"
         }
     },
     "modals": {

locales/ru.json

@@ -1016,6 +1016,18 @@
             "storage": "Хранение",
             "insights": "Аналитика"
         },
+        "metrics": {
+            "totalModels": "Всего моделей",
+            "totalStorage": "Всего хранилища",
+            "totalGenerations": "Всего генераций",
+            "usageRate": "Коэффициент использования",
+            "loras": "LoRA",
+            "checkpoints": "Контрольные точки",
+            "embeddings": "Эмбеддинги",
+            "uniqueTags": "Уникальные теги",
+            "unusedModels": "Неиспользуемые модели",
+            "avgUsesPerModel": "Сред. использований/модель"
+        },
         "usage": {
             "mostUsedLoras": "Наиболее используемые LoRAs",
             "mostUsedCheckpoints": "Наиболее используемые Checkpoints",
@@ -1033,13 +1045,77 @@
         },
         "insights": {
             "smartInsights": "Умная аналитика",
-            "recommendations": "Рекомендации"
+            "recommendations": "Рекомендации",
+            "noInsights": "Нет доступных данных",
+            "unusedLoras": {
+                "high": {
+                    "title": "Большое количество неиспользуемых LoRA",
+                    "description": "{percent}% ваших LoRA ({count}/{total}) никогда не использовались.",
+                    "suggestion": "Рассмотрите возможность организации или архивирования неиспользуемых моделей для освобождения места."
+                }
+            },
+            "unusedCheckpoints": {
+                "detected": {
+                    "title": "Обнаружены неиспользуемые контрольные точки",
+                    "description": "{percent}% ваших контрольных точек ({count}/{total}) никогда не использовались.",
+                    "suggestion": "Проверьте и удалите ненужные контрольные точки."
+                }
+            },
+            "unusedEmbeddings": {
+                "high": {
+                    "title": "Большое количество неиспользуемых эмбеддингов",
+                    "description": "{percent}% ваших эмбеддингов ({count}/{total}) никогда не использовались.",
+                    "suggestion": "Организуйте или архивируйте неиспользуемые эмбеддинги для оптимизации коллекции."
+                }
+            },
+            "collection": {
+                "large": {
+                    "title": "Обнаружена большая коллекция",
+                    "description": "Ваша коллекция моделей использует {size} хранилища.",
+                    "suggestion": "Рассмотрите внешнее хранилище или облачные решения для лучшей организации."
+                }
+            },
+            "activity": {
+                "active": {
+                    "title": "Активный пользователь",
+                    "description": "Вы завершили {count} генераций!",
+                    "suggestion": "Продолжайте исследовать и создавать удивительный контент с вашими моделями."
+                }
+            }
         },
         "charts": {
             "collectionOverview": "Обзор коллекции",
             "baseModelDistribution": "Распределение базовых моделей",
             "usageTrends": "Тенденции использования (за последние 30 дней)",
-            "usageDistribution": "Распределение использования"
+            "usageDistribution": "Распределение использования",
+            "date": "Дата",
+            "usageCount": "Количество использований",
+            "fileSizeBytes": "Размер файла (байты)",
+            "models": "Модели",
+            "loraUsage": "Использование LoRA",
+            "checkpointUsage": "Использование Checkpoint",
+            "embeddingUsage": "Использование Embedding"
+        },
+        "modelTypes": {
+            "lora": "LoRA",
+            "locon": "LyCORIS",
+            "dora": "DoRA",
+            "checkpoint": "Контрольная точка",
+            "diffusion_model": "Диффузионная модель",
+            "embedding": "Эмбеддинги"
+        },
+        "placeholders": {
+            "loading": "Загрузка...",
+            "noModels": "Модели не найдены",
+            "errorLoading": "Ошибка загрузки данных",
+            "noStorageData": "Нет данных о хранилище",
+            "rootFolder": "Корень",
+            "chartLibraryMissing": "Для графика требуется библиотека Chart.js"
+        },
+        "tooltips": {
+            "tagCount": "{tag}: {count} моделей",
+            "chartUsage": "{name}: {size}, {count} использований",
+            "chartPercentage": "{label}: {value} ({pct}%)"
         }
     },
     "modals": {

locales/zh-CN.json

@@ -1016,6 +1016,18 @@
             "storage": "存储",
             "insights": "洞察"
         },
+        "metrics": {
+            "totalModels": "模型总数",
+            "totalStorage": "总存储空间",
+            "totalGenerations": "总生成次数",
+            "usageRate": "使用率",
+            "loras": "LoRA",
+            "checkpoints": "Checkpoint",
+            "embeddings": "Embedding",
+            "uniqueTags": "唯一标签",
+            "unusedModels": "未使用模型",
+            "avgUsesPerModel": "平均使用次数/模型"
+        },
         "usage": {
             "mostUsedLoras": "最常用 LoRA",
             "mostUsedCheckpoints": "最常用 Checkpoint",
@@ -1033,13 +1045,77 @@
         },
         "insights": {
             "smartInsights": "智能洞察",
-            "recommendations": "推荐"
+            "recommendations": "推荐",
+            "noInsights": "暂无可用洞察",
+            "unusedLoras": {
+                "high": {
+                    "title": "大量未使用的 LoRA",
+                    "description": "你的 LoRA 中有 {percent}%（{count}/{total}）从未被使用过。",
+                    "suggestion": "考虑整理或归档未使用的模型以释放存储空间。"
+                }
+            },
+            "unusedCheckpoints": {
+                "detected": {
+                    "title": "检测到未使用的 Checkpoint",
+                    "description": "你的 Checkpoint 中有 {percent}%（{count}/{total}）从未被使用过。",
+                    "suggestion": "审查并考虑删除不再需要的 Checkpoint。"
+                }
+            },
+            "unusedEmbeddings": {
+                "high": {
+                    "title": "大量未使用的 Embedding",
+                    "description": "你的 Embedding 中有 {percent}%（{count}/{total}）从未被使用过。",
+                    "suggestion": "考虑整理或归档未使用的 Embedding 以优化你的收藏。"
+                }
+            },
+            "collection": {
+                "large": {
+                    "title": "检测到大型收藏",
+                    "description": "你的模型收藏正在使用 {size} 的存储空间。",
+                    "suggestion": "考虑使用外部存储或云解决方案以获得更好的组织。"
+                }
+            },
+            "activity": {
+                "active": {
+                    "title": "活跃用户",
+                    "description": "你已经完成了 {count} 次生成！",
+                    "suggestion": "继续探索并用你的模型创作精彩内容。"
+                }
+            }
         },
         "charts": {
             "collectionOverview": "收藏概览",
             "baseModelDistribution": "基础模型分布",
             "usageTrends": "使用趋势（最近30天）",
-            "usageDistribution": "使用分布"
+            "usageDistribution": "使用分布",
+            "date": "日期",
+            "usageCount": "使用次数",
+            "fileSizeBytes": "文件大小（字节）",
+            "models": "模型",
+            "loraUsage": "LoRA 使用量",
+            "checkpointUsage": "Checkpoint 使用量",
+            "embeddingUsage": "Embedding 使用量"
+        },
+        "modelTypes": {
+            "lora": "LoRA",
+            "locon": "LyCORIS",
+            "dora": "DoRA",
+            "checkpoint": "Checkpoint",
+            "diffusion_model": "扩散模型",
+            "embedding": "Embedding"
+        },
+        "placeholders": {
+            "loading": "加载中...",
+            "noModels": "未找到模型",
+            "errorLoading": "数据加载失败",
+            "noStorageData": "暂无存储数据",
+            "rootFolder": "根目录",
+            "chartLibraryMissing": "需要 Chart.js 库来显示图表"
+        },
+        "tooltips": {
+            "tagCount": "{tag}：{count} 个模型",
+            "chartUsage": "{name}：{size}，{count} 次使用",
+            "chartPercentage": "{label}：{value}（{pct}%）"
         }
     },
     "modals": {

locales/zh-TW.json

@@ -1016,6 +1016,18 @@
             "storage": "儲存空間",
             "insights": "洞察"
         },
+        "metrics": {
+            "totalModels": "模型總數",
+            "totalStorage": "總儲存空間",
+            "totalGenerations": "總生成次數",
+            "usageRate": "使用率",
+            "loras": "LoRA",
+            "checkpoints": "Checkpoint",
+            "embeddings": "Embedding",
+            "uniqueTags": "唯一標籤",
+            "unusedModels": "未使用模型",
+            "avgUsesPerModel": "平均使用次數/模型"
+        },
         "usage": {
             "mostUsedLoras": "最常用的 LoRA",
             "mostUsedCheckpoints": "最常用的 Checkpoint",
@@ -1033,13 +1045,77 @@
         },
         "insights": {
             "smartInsights": "智慧洞察",
-            "recommendations": "推薦"
+            "recommendations": "推薦",
+            "noInsights": "暫無可用洞察",
+            "unusedLoras": {
+                "high": {
+                    "title": "大量未使用的 LoRA",
+                    "description": "你的 LoRA 中有 {percent}%（{count}/{total}）從未被使用過。",
+                    "suggestion": "考慮整理或封存未使用的模型以釋放儲存空間。"
+                }
+            },
+            "unusedCheckpoints": {
+                "detected": {
+                    "title": "檢測到未使用的 Checkpoint",
+                    "description": "你的 Checkpoint 中有 {percent}%（{count}/{total}）從未被使用過。",
+                    "suggestion": "審查並考慮刪除不再需要的 Checkpoint。"
+                }
+            },
+            "unusedEmbeddings": {
+                "high": {
+                    "title": "大量未使用的 Embedding",
+                    "description": "你的 Embedding 中有 {percent}%（{count}/{total}）從未被使用過。",
+                    "suggestion": "考慮整理或封存未使用的 Embedding 以優化你的收藏。"
+                }
+            },
+            "collection": {
+                "large": {
+                    "title": "檢測到大型收藏",
+                    "description": "你的模型收藏正在使用 {size} 的儲存空間。",
+                    "suggestion": "考慮使用外部儲存或雲端解決方案以獲得更好的組織。"
+                }
+            },
+            "activity": {
+                "active": {
+                    "title": "活躍用戶",
+                    "description": "你已經完成了 {count} 次生成！",
+                    "suggestion": "繼續探索並用你的模型創作精彩內容。"
+                }
+            }
         },
         "charts": {
             "collectionOverview": "收藏總覽",
             "baseModelDistribution": "基礎模型分布",
             "usageTrends": "使用趨勢（最近 30 天）",
-            "usageDistribution": "使用分布"
+            "usageDistribution": "使用分布",
+            "date": "日期",
+            "usageCount": "使用次數",
+            "fileSizeBytes": "檔案大小（位元組）",
+            "models": "模型",
+            "loraUsage": "LoRA 使用量",
+            "checkpointUsage": "Checkpoint 使用量",
+            "embeddingUsage": "Embedding 使用量"
+        },
+        "modelTypes": {
+            "lora": "LoRA",
+            "locon": "LyCORIS",
+            "dora": "DoRA",
+            "checkpoint": "Checkpoint",
+            "diffusion_model": "擴散模型",
+            "embedding": "Embedding"
+        },
+        "placeholders": {
+            "loading": "載入中...",
+            "noModels": "找不到模型",
+            "errorLoading": "資料載入失敗",
+            "noStorageData": "暫無儲存資料",
+            "rootFolder": "根目錄",
+            "chartLibraryMissing": "需要 Chart.js 函式庫來顯示圖表"
+        },
+        "tooltips": {
+            "tagCount": "{tag}：{count} 個模型",
+            "chartUsage": "{name}：{size}，{count} 次使用",
+            "chartPercentage": "{label}：{value}（{pct}%）"
         }
     },
     "modals": {

py/metadata_collector/node_extractors.py

@@ -901,6 +901,55 @@ class LoraLoaderManagerExtractor(NodeMetadataExtractor):
                 "node_id": node_id
             }
 
+class LoraTextLoaderManagerExtractor(NodeMetadataExtractor):
+    """Extract LoRA metadata from LoraTextLoaderLM (LoRA Text Loader).
+
+    The node accepts a `lora_syntax` STRING containing <lora:name:strength> tags
+    (same format as the ComfyUI prompt), plus an optional `lora_stack`.
+    This extractor parses the syntax string using the same regex as the node.
+    """
+    @staticmethod
+    def extract(node_id, inputs, outputs, metadata):
+        if not inputs:
+            return
+
+        active_loras = []
+
+        # Process lora_stack if available (optional input)
+        if "lora_stack" in inputs:
+            lora_stack = inputs.get("lora_stack", [])
+            for item in lora_stack:
+                # lora_stack entries are (path, model_strength, clip_strength) tuples
+                if isinstance(item, (list, tuple)) and len(item) >= 2:
+                    lora_path = item[0]
+                    model_strength = item[1]
+                    lora_name = os.path.splitext(os.path.basename(lora_path))[0]
+                    active_loras.append({
+                        "name": lora_name,
+                        "strength": round(float(model_strength), 2)
+                    })
+
+        # Process lora_syntax string input
+        if "lora_syntax" in inputs:
+            lora_syntax = inputs.get("lora_syntax", "")
+            if lora_syntax and isinstance(lora_syntax, str):
+                pattern = r"<lora:([^:>]+):([^:>]+)(?::([^:>]+))?>"
+                matches = re.findall(pattern, lora_syntax, re.IGNORECASE)
+                for match in matches:
+                    lora_name = match[0]
+                    model_strength = float(match[1])
+                    active_loras.append({
+                        "name": lora_name,
+                        "strength": round(model_strength, 2)
+                    })
+
+        if active_loras:
+            metadata[LORAS][node_id] = {
+                "lora_list": active_loras,
+                "node_id": node_id
+            }
+
+
 class FluxGuidanceExtractor(NodeMetadataExtractor):
     @staticmethod
     def extract(node_id, inputs, outputs, metadata):
@@ -1146,6 +1195,7 @@ NODE_EXTRACTORS = {
     "UNETLoaderLM": UNETLoaderExtractor,  # LoRA Manager
     "LoraLoader": LoraLoaderExtractor,
     "LoraLoaderLM": LoraLoaderManagerExtractor,
+    "LoraTextLoaderLM": LoraTextLoaderManagerExtractor,
     "RgthreePowerLoraLoader": RgthreePowerLoraLoaderExtractor,
     "TensorRTLoader": TensorRTLoaderExtractor,
     # Conditioning

py/routes/handlers/misc_handlers.py

@@ -49,7 +49,10 @@ from ...utils.constants import (
     VALID_LORA_TYPES,
 )
 from ...utils.civitai_utils import rewrite_preview_url
-from ...utils.example_images_paths import is_valid_example_images_root
+from ...utils.example_images_paths import (
+    find_non_compliant_items_in_example_images_root,
+    is_valid_example_images_root,
+)
 from ...utils.lora_metadata import extract_trained_words
 from ...utils.session_logging import get_standalone_session_log_snapshot
 from ...utils.usage_stats import UsageStats
@@ -1498,6 +1501,16 @@ class SettingsHandler:
         if not os.path.isdir(folder_path):
             return "Please set a dedicated folder for example images."
         if not self._is_dedicated_example_images_folder(folder_path):
+            offending = find_non_compliant_items_in_example_images_root(folder_path)
+            if offending:
+                items_str = ", ".join(repr(item) for item in offending[:5])
+                if len(offending) > 5:
+                    items_str += f" … and {len(offending) - 5} more"
+                return (
+                    f"The folder contains items that are not valid example image "
+                    f"folders: {items_str}. Please use a dedicated, empty folder "
+                    f"for example images to prevent accidental data loss."
+                )
             return "Please set a dedicated folder for example images."
         return None
 

py/routes/stats_routes.py

@@ -477,9 +477,12 @@ class StatsRoutes:
                 if unused_lora_percent > 50:
                     insights.append({
                         'type': 'warning',
-                        'title': 'High Number of Unused LoRAs',
-                        'description': f'{unused_lora_percent:.1f}% of your LoRAs ({unused_loras}/{total_loras}) have never been used.',
-                        'suggestion': 'Consider organizing or archiving unused models to free up storage space.'
+                        'key': 'insights.unusedLoras.high',
+                        'params': {
+                            'percent': f'{unused_lora_percent:.1f}',
+                            'count': str(unused_loras),
+                            'total': str(total_loras)
+                        }
                     })
             
             if total_checkpoints > 0:
@@ -487,9 +490,12 @@ class StatsRoutes:
                 if unused_checkpoint_percent > 30:
                     insights.append({
                         'type': 'warning',
-                        'title': 'Unused Checkpoints Detected',
-                        'description': f'{unused_checkpoint_percent:.1f}% of your checkpoints ({unused_checkpoints}/{total_checkpoints}) have never been used.',
-                        'suggestion': 'Review and consider removing checkpoints you no longer need.'
+                        'key': 'insights.unusedCheckpoints.detected',
+                        'params': {
+                            'percent': f'{unused_checkpoint_percent:.1f}',
+                            'count': str(unused_checkpoints),
+                            'total': str(total_checkpoints)
+                        }
                     })
             
             if total_embeddings > 0:
@@ -497,9 +503,12 @@ class StatsRoutes:
                 if unused_embedding_percent > 50:
                     insights.append({
                         'type': 'warning',
-                        'title': 'High Number of Unused Embeddings',
-                        'description': f'{unused_embedding_percent:.1f}% of your embeddings ({unused_embeddings}/{total_embeddings}) have never been used.',
-                        'suggestion': 'Consider organizing or archiving unused embeddings to optimize your collection.'
+                        'key': 'insights.unusedEmbeddings.high',
+                        'params': {
+                            'percent': f'{unused_embedding_percent:.1f}',
+                            'count': str(unused_embeddings),
+                            'total': str(total_embeddings)
+                        }
                     })
             
             # Storage insights
@@ -510,18 +519,20 @@ class StatsRoutes:
             if total_size > 100 * 1024 * 1024 * 1024:  # 100GB
                 insights.append({
                     'type': 'info',
-                    'title': 'Large Collection Detected',
-                    'description': f'Your model collection is using {self._format_size(total_size)} of storage.',
-                    'suggestion': 'Consider using external storage or cloud solutions for better organization.'
+                    'key': 'insights.collection.large',
+                    'params': {
+                        'size': self._format_size(total_size)
+                    }
                 })
             
             # Recent activity insight
             if usage_data.get('total_executions', 0) > 100:
                 insights.append({
                     'type': 'success',
-                    'title': 'Active User',
-                    'description': f'You\'ve completed {usage_data["total_executions"]} generations so far!',
-                    'suggestion': 'Keep exploring and creating amazing content with your models.'
+                    'key': 'insights.activity.active',
+                    'params': {
+                        'count': str(usage_data['total_executions'])
+                    }
                 })
             
             return web.json_response({

py/services/metadata_sync_service.py

@@ -427,7 +427,18 @@ class MetadataSyncService:
         metadata = await metadata_loader(metadata_path)
 
         for key, value in updates.items():
-            if isinstance(value, dict) and isinstance(metadata.get(key), dict):
+            if key == "tags" and isinstance(value, list):
+                # Normalize tags: trim, lowercase, deduplicate
+                normalized = []
+                seen = set()
+                for tag in value:
+                    if isinstance(tag, str):
+                        t = tag.strip().lower()
+                        if t and t not in seen:
+                            normalized.append(t)
+                            seen.add(t)
+                metadata[key] = normalized
+            elif isinstance(value, dict) and isinstance(metadata.get(key), dict):
                 metadata[key].update(value)
             else:
                 metadata[key] = value

py/services/model_query.py

@@ -294,12 +294,14 @@ class ModelFilterSet:
                 for tag, state in tag_filters.items():
                     if not tag:
                         continue
+                    # Normalize to lowercase for case-insensitive matching
+                    normalized = tag.strip().lower()
                     if state == "exclude":
-                        exclude_tags.add(tag)
+                        exclude_tags.add(normalized)
                     else:
-                        include_tags.add(tag)
+                        include_tags.add(normalized)
             else:
-                include_tags = {tag for tag in tag_filters if tag}
+                include_tags = {tag.strip().lower() for tag in tag_filters if tag}
 
             if include_tags:
                 tag_logic = criteria.tag_logic.lower() if criteria.tag_logic else "any"
@@ -318,13 +320,17 @@ class ModelFilterSet:
                                 return True
                             # Otherwise, check if all non-special tags match
                             if non_special_tags:
-                                return all(tag in (item_tags or []) for tag in non_special_tags)
+                                # Case-insensitive: normalize item tags too
+                                normalized_item_tags = {t.strip().lower() for t in (item_tags or []) if isinstance(t, str)}
+                                return all(tag in normalized_item_tags for tag in non_special_tags)
                             return True
-                        # Normal case: all tags must match
-                        return all(tag in (item_tags or []) for tag in non_special_tags)
+                        # Normal case: all tags must match (case-insensitive)
+                        normalized_item_tags = {t.strip().lower() for t in (item_tags or []) if isinstance(t, str)}
+                        return all(tag in normalized_item_tags for tag in non_special_tags)
                     else:
-                        # OR logic (default): item must have ANY include tag
-                        return any(tag in include_tags for tag in (item_tags or []))
+                        # OR logic (default): item must have ANY include tag (case-insensitive)
+                        normalized_item_tags = {t.strip().lower() for t in (item_tags or []) if isinstance(t, str)}
+                        return bool(normalized_item_tags & include_tags)
 
                 items = [item for item in items if matches_include(item.get("tags"))]
 
@@ -333,7 +339,9 @@ class ModelFilterSet:
                 def matches_exclude(item_tags):
                     if not item_tags and "__no_tags__" in exclude_tags:
                         return True
-                    return any(tag in exclude_tags for tag in (item_tags or []))
+                    # Case-insensitive: normalize item tags
+                    normalized_item_tags = {t.strip().lower() for t in (item_tags or []) if isinstance(t, str)}
+                    return bool(normalized_item_tags & exclude_tags)
 
                 items = [
                     item for item in items if not matches_exclude(item.get("tags"))

py/services/tag_update_service.py

@@ -36,9 +36,9 @@ class TagUpdateService:
             if isinstance(tag, str) and tag.strip():
                 # Convert all tags to lowercase to avoid case sensitivity issues on Windows
                 normalized = tag.strip().lower()
-                if normalized.lower() not in existing_lower:
+                if normalized not in existing_lower:
                     existing_tags.append(normalized)
-                    existing_lower.append(normalized.lower())
+                    existing_lower.append(normalized)
                     tags_added.append(normalized)
 
         metadata["tags"] = existing_tags

py/utils/example_images_paths.py

@@ -12,6 +12,18 @@ from ..services.settings_manager import get_settings_manager
 
 _HEX_PATTERN = re.compile(r"[a-fA-F0-9]{64}")
 
+# Filesystem/metadata files that are never created by the example images system
+# and are safe to ignore during validation. The cleanup service only operates on
+# directories, so these files pose no data-loss risk.
+_SAFE_FILENAMES: frozenset[str] = frozenset({
+    ".DS_Store",       # macOS folder metadata
+    "Thumbs.db",       # Windows thumbnail cache
+    "desktop.ini",     # Windows folder customization
+    ".localized",      # macOS folder name localization
+    ".gitkeep",        # Placeholder to keep empty dirs in git
+    ".gitignore",      # Git ignore rules
+})
+
 logger = logging.getLogger(__name__)
 
 
@@ -180,6 +192,22 @@ def is_hash_folder(name: str) -> bool:
     return bool(_HEX_PATTERN.fullmatch(name or ""))
 
 
+def _is_safe_ignorable_entry(item: str, item_path: str) -> bool:
+    """Return True if *item* is a harmless system/hidden file we can skip.
+
+    These files are never created by the example images system and are safe to
+    ignore because the cleanup/delete operations only act on **directories**,
+    never on individual files (other than ``.download_progress.json``).
+    """
+    if item in _SAFE_FILENAMES:
+        return True
+    # Hide Unix hidden files (dotfiles) that are regular files,
+    # since the cleanup system never deletes or moves files.
+    if item.startswith(".") and os.path.isfile(item_path):
+        return True
+    return False
+
+
 def is_valid_example_images_root(folder_path: str) -> bool:
     """Check whether a folder looks like a dedicated example images root."""
 
@@ -190,9 +218,16 @@ def is_valid_example_images_root(folder_path: str) -> bool:
 
     for item in items:
         item_path = os.path.join(folder_path, item)
+
+        # .download_progress.json is an expected metadata file — check before
+        # the generic dotfile rule so it stays explicitly documented.
         if item == ".download_progress.json" and os.path.isfile(item_path):
             continue
 
+        # Skip harmless system/hidden files — cleanup only touches directories
+        if _is_safe_ignorable_entry(item, item_path):
+            continue
+
         if os.path.isdir(item_path):
             if is_hash_folder(item):
                 continue
@@ -211,6 +246,41 @@ def is_valid_example_images_root(folder_path: str) -> bool:
     return True
 
 
+def find_non_compliant_items_in_example_images_root(folder_path: str) -> list[str]:
+    """Return the names of items that prevent *folder_path* from being a valid
+    example images root, or an empty list if the folder is valid.
+
+    This mirrors ``is_valid_example_images_root`` but **returns** the offending
+    names instead of a boolean, so callers can produce actionable error messages.
+    """
+    try:
+        items = os.listdir(folder_path)
+    except OSError as exc:
+        return [f"<cannot list directory: {exc}>"]
+
+    offending: list[str] = []
+
+    for item in items:
+        item_path = os.path.join(folder_path, item)
+
+        # Same skip rules as is_valid_example_images_root
+        if item == ".download_progress.json" and os.path.isfile(item_path):
+            continue
+        if _is_safe_ignorable_entry(item, item_path):
+            continue
+        if os.path.isdir(item_path):
+            if is_hash_folder(item):
+                continue
+            if item == "_deleted":
+                continue
+            if _library_folder_has_only_hash_dirs(item_path):
+                continue
+
+        offending.append(item)
+
+    return offending
+
+
 def _library_folder_has_only_hash_dirs(path: str) -> bool:
     """Return True when a library subfolder only contains hash folders or metadata files."""
 

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-lora-manager"
 description = "Revolutionize your workflow with the ultimate LoRA companion for ComfyUI!"
-version = "1.1.3"
+version = "1.1.4"
 license = {file = "LICENSE"}
 dependencies = [
     "aiohttp",

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

@@ -17,6 +17,8 @@
   flex-wrap: nowrap;
   gap: 6px;
   align-items: center;
+  min-width: 0;
+  overflow: hidden;
 }
 
 .model-tag-compact {
@@ -28,6 +30,9 @@
   font-size: 0.75em;
   color: var(--text-color);
   white-space: nowrap;
+  max-width: 150px;
+  overflow: hidden;
+  text-overflow: ellipsis;
 }
 
 /* Style for empty tags placeholder */
@@ -118,8 +123,9 @@
 /* Model Tags Edit Mode */
 .model-tags-header {
   display: flex;
-  justify-content: space-between;
+  justify-content: flex-start;
   align-items: center;
+  overflow: hidden;
 }
 
 .edit-tags-btn {
@@ -132,6 +138,7 @@
   border-radius: var(--border-radius-xs);
   transition: var(--transition-base);
   margin-left: var(--space-1);
+  flex-shrink: 0;
 }
 
 .edit-tags-btn.visible,

static/css/components/recipe-modal.css

@@ -9,6 +9,10 @@
     position: relative;
 }
 
+#recipeTagsContainer {
+    width: 100%;
+}
+
 .recipe-modal-header h2 {
     margin: 0 0 var(--space-1);
     padding: var(--space-1);
@@ -95,127 +99,11 @@
     min-width: 0;
 }
 
-.content-editor.tags-editor input {
-    font-size: 0.9em;
-}
-
 /* Remove obsolete button styles */
 .editor-actions {
     display: none;
 }
 
-/* Special styling for tags content */
-.tags-content {
-    display: flex;
-    align-items: center;
-    flex-wrap: nowrap;
-    gap: 8px;
-}
-
-.tags-display {
-    display: flex;
-    flex-wrap: nowrap;
-    gap: 6px;
-    align-items: center;
-    flex: 1;
-    min-width: 0;
-    overflow: hidden;
-}
-
-.no-tags {
-    font-size: 0.85em;
-    color: var(--text-color);
-    opacity: 0.6;
-    font-style: italic;
-}
-
-/* Recipe Tags styles */
-.recipe-tags-container {
-    position: relative;
-    margin-top: 0;
-    margin-bottom: 10px;
-}
-
-.recipe-tags-compact {
-    display: flex;
-    flex-wrap: nowrap;
-    gap: 6px;
-    align-items: center;
-}
-
-.recipe-tag-compact {
-    background: var(--surface-subtle);
-    border: 1px solid rgba(0, 0, 0, 0.1);
-    border-radius: var(--border-radius-xs);
-    padding: 2px 8px;
-    font-size: 0.75em;
-    color: var(--text-color);
-    white-space: nowrap;
-}
-
-[data-theme="dark"] .recipe-tag-compact {
-    background: var(--surface-subtle);
-    border: 1px solid var(--lora-border);
-}
-
-.recipe-tag-more {
-    background: var(--lora-accent);
-    color: var(--lora-text);
-    border-radius: var(--border-radius-xs);
-    padding: 2px 8px;
-    font-size: 0.75em;
-    cursor: pointer;
-    white-space: nowrap;
-    font-weight: 500;
-}
-
-.recipe-tags-tooltip {
-    position: absolute;
-    top: calc(100% + 8px);
-    left: 0;
-    background: var(--card-bg);
-    border: 1px solid var(--border-color);
-    border-radius: var(--border-radius-sm);
-    box-shadow: var(--shadow-dropdown);
-    padding: 10px 14px;
-    max-width: 400px;
-    z-index: 10;
-    opacity: 0;
-    visibility: hidden;
-    transform: translateY(-4px);
-    transition: var(--transition-base);
-    pointer-events: none;
-}
-
-.recipe-tags-tooltip.visible {
-    opacity: 1;
-    visibility: visible;
-    transform: translateY(0);
-    pointer-events: auto;
-}
-
-.tooltip-content {
-    display: flex;
-    flex-wrap: wrap;
-    gap: 6px;
-    max-height: 200px;
-    overflow-y: auto;
-}
-
-.tooltip-tag {
-    background: var(--surface-hover);
-    border: 1px solid rgba(0, 0, 0, 0.1);
-    border-radius: var(--border-radius-xs);
-    padding: 3px 8px;
-    font-size: 0.75em;
-    color: var(--text-color);
-}
-
-[data-theme="dark"] .tooltip-tag {
-    background: var(--surface-hover);
-    border: 1px solid var(--lora-border);
-}
-
 #recipeModal .modal-content {
     display: flex;
     flex-direction: column;
@@ -1153,7 +1041,7 @@
         max-height: 2.4em;
     }
 
-    .recipe-tags-container {
+    #recipeTagsContainer {
         margin-bottom: 6px;
     }
 

static/js/components/RecipeModal.js

@@ -7,6 +7,8 @@ import { fetchRecipeDetails, updateRecipeMetadata } from '../api/recipeApi.js';
 import { downloadManager } from '../managers/DownloadManager.js';
 import { MODEL_TYPES } from '../api/apiConfig.js';
 import { openMediaViewer } from './shared/MediaViewer.js';
+import { renderCompactTags, setupTagTooltip } from './shared/utils.js';
+import { setupTagEditMode } from './shared/ModelTags.js';
 
 const ALLOWED_GEN_PARAM_KEYS = new Set([
     'prompt',
@@ -139,14 +141,6 @@ class RecipeModal {
                 this.saveTitleEdit();
             }
 
-            // Handle tags edit
-            const tagsEditor = document.getElementById('recipeTagsEditor');
-            if (tagsEditor && tagsEditor.classList.contains('active') &&
-                !tagsEditor.contains(event.target) &&
-                !event.target.closest('.edit-icon')) {
-                this.saveTagsEdit();
-            }
-
             // Handle reconnect input
             const reconnectContainers = document.querySelectorAll('.lora-reconnect-container');
             reconnectContainers.forEach(container => {
@@ -236,98 +230,10 @@ class RecipeModal {
         this.filePath = hydratedRecipe.file_path;
         this.listFilePath = hydratedRecipe.file_path;
 
-        // Set recipe tags if they exist
-        const tagsCompactElement = document.getElementById('recipeTagsCompact');
-        const tagsTooltipContent = document.getElementById('recipeTagsTooltipContent');
-
-        if (tagsCompactElement) {
-            // Add tags container with edit functionality
-            tagsCompactElement.innerHTML = `
-                <div class="editable-content tags-content">
-                    <div class="tags-display"></div>
-                    <button class="edit-icon" title="Edit tags"><i class="fas fa-pencil-alt"></i></button>
-                </div>
-                <div id="recipeTagsEditor" class="content-editor tags-editor">
-                    <input type="text" class="tags-input" placeholder="Enter tags separated by commas">
-                </div>
-            `;
-
-            const tagsDisplay = tagsCompactElement.querySelector('.tags-display');
-
-            if (hydratedRecipe.tags && hydratedRecipe.tags.length > 0) {
-                // Limit displayed tags to 5, show a "+X more" button if needed
-                const maxVisibleTags = 5;
-                const visibleTags = hydratedRecipe.tags.slice(0, maxVisibleTags);
-                const remainingTags = hydratedRecipe.tags.length > maxVisibleTags ? hydratedRecipe.tags.slice(maxVisibleTags) : [];
-
-                // Add visible tags
-                visibleTags.forEach(tag => {
-                    const tagElement = document.createElement('div');
-                    tagElement.className = 'recipe-tag-compact';
-                    tagElement.textContent = tag;
-                    tagsDisplay.appendChild(tagElement);
-                });
-
-                // Add "more" button if needed
-                if (remainingTags.length > 0) {
-                    const moreButton = document.createElement('div');
-                    moreButton.className = 'recipe-tag-more';
-                    moreButton.textContent = `+${remainingTags.length} more`;
-                    tagsDisplay.appendChild(moreButton);
-
-                    // Add tooltip functionality
-                    moreButton.addEventListener('mouseenter', () => {
-                        document.getElementById('recipeTagsTooltip').classList.add('visible');
-                    });
-
-                    moreButton.addEventListener('mouseleave', () => {
-                        setTimeout(() => {
-                            if (!document.getElementById('recipeTagsTooltip').matches(':hover')) {
-                                document.getElementById('recipeTagsTooltip').classList.remove('visible');
-                            }
-                        }, 300);
-                    });
-
-                    document.getElementById('recipeTagsTooltip').addEventListener('mouseleave', () => {
-                        document.getElementById('recipeTagsTooltip').classList.remove('visible');
-                    });
-
-                    // Add all tags to tooltip
-                    if (tagsTooltipContent) {
-                        tagsTooltipContent.innerHTML = '';
-                        hydratedRecipe.tags.forEach(tag => {
-                            const tooltipTag = document.createElement('div');
-                            tooltipTag.className = 'tooltip-tag';
-                            tooltipTag.textContent = tag;
-                            tagsTooltipContent.appendChild(tooltipTag);
-                        });
-                    }
-                }
-            } else {
-                tagsDisplay.innerHTML = '<div class="no-tags">No tags</div>';
-            }
-
-            // Add event listeners for tags editing
-            const editTagsIcon = tagsCompactElement.querySelector('.edit-icon');
-            const tagsInput = tagsCompactElement.querySelector('.tags-input');
-
-            // Set current tags in the input
-            if (hydratedRecipe.tags && hydratedRecipe.tags.length > 0) {
-                tagsInput.value = hydratedRecipe.tags.join(', ');
-            }
-
-            editTagsIcon.addEventListener('click', () => this.showTagsEditor());
-
-            // Add key event listener for Enter key
-            tagsInput.addEventListener('keydown', (e) => {
-                if (e.key === 'Enter') {
-                    e.preventDefault();
-                    this.saveTagsEdit();
-                } else if (e.key === 'Escape') {
-                    e.preventDefault();
-                    this.cancelTagsEdit();
-                }
-            });
+        // Render tags using shared utility
+        const tagsContainer = document.getElementById('recipeTagsContainer');
+        if (tagsContainer) {
+            this.updateTagsDisplay(tagsContainer, hydratedRecipe.tags || []);
         }
 
         // Set recipe image
@@ -609,17 +515,35 @@ class RecipeModal {
     }
 
     syncTagsDisplay(tags) {
-        const tagsContainer = document.getElementById('recipeTagsCompact');
-        if (!tagsContainer) {
-            return;
-        }
+        const container = document.getElementById('recipeTagsContainer');
+        if (!container) return;
+        this.updateTagsDisplay(container, tags || []);
+    }
 
-        this.updateTagsDisplay(tagsContainer, tags || []);
+    // Re-render tags display using shared utility, wire edit mode with ModelTags
+    updateTagsDisplay(container, tags) {
+        const filePath = this.filePath || '';
 
-        const tagsInput = tagsContainer.querySelector('.tags-input');
-        if (tagsInput) {
-            tagsInput.value = tags && tags.length > 0 ? tags.join(', ') : '';
-        }
+        container.innerHTML = renderCompactTags(tags, filePath);
+
+        // Setup tooltip for all tags
+        setupTagTooltip(container);
+
+        // Wire edit button using shared tag editing (no suggestions for recipes)
+        setupTagEditMode(null, {
+            container: container,
+            showSuggestions: false,
+            normalizeTag: false,
+            saveHandler: async (filePath, tags) => {
+                await updateRecipeMetadata(filePath, { tags }, this.getMetadataUpdateOptions());
+            },
+            onSaved: (tags) => {
+                this.currentRecipe.tags = tags;
+                this.commitField('tags');
+                const c = document.getElementById('recipeTagsContainer');
+                if (c) this.updateTagsDisplay(c, tags);
+            },
+        });
     }
 
     syncPromptField(field, value, placeholder) {
@@ -976,139 +900,6 @@ class RecipeModal {
         }
     }
 
-    // Tags editing methods
-    showTagsEditor() {
-        const tagsContainer = document.getElementById('recipeTagsCompact');
-        if (tagsContainer) {
-            tagsContainer.querySelector('.editable-content').classList.add('hide');
-            const editor = tagsContainer.querySelector('#recipeTagsEditor');
-            editor.classList.add('active');
-            const input = editor.querySelector('input');
-            input.oninput = () => this.markFieldDirty('tags');
-            input.focus();
-        }
-    }
-
-    saveTagsEdit() {
-        const tagsContainer = document.getElementById('recipeTagsCompact');
-        if (tagsContainer) {
-            const editor = tagsContainer.querySelector('#recipeTagsEditor');
-            const input = editor.querySelector('input');
-            const tagsText = input.value.trim();
-
-            // Parse tags
-            let newTags = [];
-            if (tagsText) {
-                newTags = tagsText.split(',')
-                    .map(tag => tag.trim())
-                    .filter(tag => tag.length > 0);
-            }
-
-            // Check if tags changed
-            const oldTags = this.currentRecipe.tags || [];
-            const tagsChanged =
-                newTags.length !== oldTags.length ||
-                newTags.some((tag, index) => tag !== oldTags[index]);
-
-            if (tagsChanged) {
-                // Update the recipe on the server
-                updateRecipeMetadata(this.filePath, { tags: newTags }, this.getMetadataUpdateOptions())
-                    .then(data => {
-                        // Show success toast
-                        showToast('toast.recipes.tagsUpdated', {}, 'success');
-
-                        // Update the current recipe object
-                        this.currentRecipe.tags = newTags;
-                        this.commitField('tags');
-
-                        // Update tags in the UI
-                        this.updateTagsDisplay(tagsContainer, newTags);
-                    })
-                    .catch(error => {
-                        // Error is handled in the API function
-                        this.clearFieldDirty('tags');
-                    });
-            } else {
-                this.clearFieldDirty('tags');
-            }
-
-            // Hide editor
-            editor.classList.remove('active');
-            tagsContainer.querySelector('.editable-content').classList.remove('hide');
-        }
-    }
-
-    // Helper method to update tags display
-    updateTagsDisplay(tagsContainer, tags) {
-        const tagsDisplay = tagsContainer.querySelector('.tags-display');
-        tagsDisplay.innerHTML = '';
-
-        if (tags.length > 0) {
-            // Limit displayed tags to 5, show a "+X more" button if needed
-            const maxVisibleTags = 5;
-            const visibleTags = tags.slice(0, maxVisibleTags);
-            const remainingTags = tags.length > maxVisibleTags ? tags.slice(maxVisibleTags) : [];
-
-            // Add visible tags
-            visibleTags.forEach(tag => {
-                const tagElement = document.createElement('div');
-                tagElement.className = 'recipe-tag-compact';
-                tagElement.textContent = tag;
-                tagsDisplay.appendChild(tagElement);
-            });
-
-            // Add "more" button if needed
-            if (remainingTags.length > 0) {
-                const moreButton = document.createElement('div');
-                moreButton.className = 'recipe-tag-more';
-                moreButton.textContent = `+${remainingTags.length} more`;
-                tagsDisplay.appendChild(moreButton);
-
-                // Update tooltip content
-                const tooltipContent = document.getElementById('recipeTagsTooltipContent');
-                if (tooltipContent) {
-                    tooltipContent.innerHTML = '';
-                    tags.forEach(tag => {
-                        const tooltipTag = document.createElement('div');
-                        tooltipTag.className = 'tooltip-tag';
-                        tooltipTag.textContent = tag;
-                        tooltipContent.appendChild(tooltipTag);
-                    });
-                }
-
-                // Re-add tooltip functionality
-                moreButton.addEventListener('mouseenter', () => {
-                    document.getElementById('recipeTagsTooltip').classList.add('visible');
-                });
-
-                moreButton.addEventListener('mouseleave', () => {
-                    setTimeout(() => {
-                        if (!document.getElementById('recipeTagsTooltip').matches(':hover')) {
-                            document.getElementById('recipeTagsTooltip').classList.remove('visible');
-                        }
-                    }, 300);
-                });
-            }
-        } else {
-            tagsDisplay.innerHTML = '<div class="no-tags">No tags</div>';
-        }
-    }
-
-    cancelTagsEdit() {
-        const tagsContainer = document.getElementById('recipeTagsCompact');
-        if (tagsContainer) {
-            // Reset input value
-            const editor = tagsContainer.querySelector('#recipeTagsEditor');
-            const input = editor.querySelector('input');
-            input.value = this.currentRecipe.tags ? this.currentRecipe.tags.join(', ') : '';
-            this.clearFieldDirty('tags');
-
-            // Hide editor
-            editor.classList.remove('active');
-            tagsContainer.querySelector('.editable-content').classList.remove('hide');
-        }
-    }
-
     setupPromptEditors() {
         const promptConfigs = [
             {

static/js/components/shared/ModelTags.js

@@ -29,6 +29,14 @@ let priorityTagSuggestionsLoaded = false;
 let priorityTagSuggestionsPromise = null;
 let activeTagDragState = null;
 
+// Configurable options for tag editing (set by setupTagEditMode)
+let tagEditOptions = {
+    showSuggestions: true,
+    saveHandler: null,
+    onSaved: null,
+    normalizeTag: true,
+};
+
 function normalizeModelTypeKey(modelType) {
     if (!modelType) {
         return '';
@@ -140,13 +148,30 @@ let saveTagsHandler = null;
 
 /**
  * Set up tag editing mode
+ * @param {string|null} modelType - Model type for suggestions (e.g. 'loras', 'checkpoints')
+ * @param {Object} [options] - Optional configuration
+ * @param {boolean} [options.showSuggestions=true] - Show priority tag suggestions dropdown
+ * @param {Function} [options.saveHandler] - Custom save function, async (filePath, tags) => {}
+ * @param {Function} [options.onSaved] - Called after successful save, (tags) => {}
+ * @param {boolean} [options.normalizeTag=true] - Lowercase tag on add
  */
-export function setupTagEditMode(modelType = null) {
-    const editBtn = document.querySelector('.edit-tags-btn');
+export function setupTagEditMode(modelType = null, options = {}) {
+    // Store options for use by saveTags and addNewTag
+    tagEditOptions = {
+        showSuggestions: options.showSuggestions !== false,
+        saveHandler: options.saveHandler || null,
+        onSaved: options.onSaved || null,
+        normalizeTag: options.normalizeTag !== false,
+    };
+
+    const root = options.container || document;
+    const editBtn = root.querySelector('.edit-tags-btn');
     if (!editBtn) return;
 
-    setActiveModelTypeKey(modelType);
-    ensurePriorityTagSuggestions();
+    if (tagEditOptions.showSuggestions) {
+        setActiveModelTypeKey(modelType);
+        ensurePriorityTagSuggestions();
+    }
     
     // Store original tags for restoring on cancel
     let originalTags = [];
@@ -158,7 +183,8 @@ export function setupTagEditMode(modelType = null) {
     
     // Create new handler and store reference
     const editBtnClickHandler = function() {
-        const tagsSection = document.querySelector('.model-tags-container');
+        const tagsSection = this.closest('.model-tags-container');
+        if (!tagsSection) return;
         const isEditMode = tagsSection.classList.toggle('edit-mode');
         const filePath = this.dataset.filePath;
         
@@ -193,16 +219,18 @@ export function setupTagEditMode(modelType = null) {
                 tagsSection.appendChild(editContainer);
                 
                 // Setup the tag input field behavior
-                setupTagInput();
+                setupTagInput(tagsSection);
                 
                 // Create and add preset suggestions dropdown
-                const tagForm = editContainer.querySelector('.metadata-add-form');
-                const suggestionsDropdown = createSuggestionsDropdown(originalTags);
-                tagForm.appendChild(suggestionsDropdown);
+                if (tagEditOptions.showSuggestions) {
+                    const tagForm = editContainer.querySelector('.metadata-add-form');
+                    const suggestionsDropdown = createSuggestionsDropdown(originalTags);
+                    tagForm.appendChild(suggestionsDropdown);
+                }
                 
                 // Setup delete buttons for existing tags
                 setupDeleteButtons();
-                setupTagDragAndDrop();
+                setupTagDragAndDrop(tagsSection);
                 
                 // Transfer click event from original button to the cloned one
                 const newEditBtn = editContainer.querySelector('.metadata-header-btn');
@@ -218,7 +246,7 @@ export function setupTagEditMode(modelType = null) {
                 // Just show the existing edit container
                 tagsEditContainer.style.display = 'block';
                 editBtn.style.display = 'none';
-                setupTagDragAndDrop();
+                setupTagDragAndDrop(tagsSection);
             }
         } else {
             // Exit edit mode
@@ -255,7 +283,7 @@ export function setupTagEditMode(modelType = null) {
     saveTagsHandler = function(e) {
         if (e.target.classList.contains('save-tags-btn') || 
             e.target.closest('.save-tags-btn')) {
-            saveTags();
+            saveTags(e.target);
         }
     };
     
@@ -267,19 +295,28 @@ export function setupTagEditMode(modelType = null) {
 
 /**
  * Save tags
+ * @param {Element} [triggerElement] - The element that triggered the save (e.g. save button)
  */
-async function saveTags() {
-    const editBtn = document.querySelector('.edit-tags-btn');
-    if (!editBtn) return;
+async function saveTags(triggerElement = null) {
+    let editBtn;
+    let scope;
+    if (triggerElement) {
+        scope = triggerElement.closest('.model-tags-container');
+        editBtn = scope ? scope.querySelector('.edit-tags-btn') : document.querySelector('.edit-tags-btn');
+    } else {
+        scope = document.querySelector('.model-tags-container');
+        editBtn = scope ? scope.querySelector('.edit-tags-btn') : null;
+    }
+    if (!editBtn || !scope) return;
     
     const filePath = editBtn.dataset.filePath;
-    const tagElements = document.querySelectorAll('.metadata-item');
+    const tagElements = scope.querySelectorAll('.metadata-item');
     let tags = Array.from(tagElements).map(tag => tag.dataset.tag);
     
     // Flush uncommitted input as a tag so it's not silently lost on save
-    const tagInput = document.querySelector('.metadata-input');
+    const tagInput = scope.querySelector('.metadata-input');
     if (tagInput) {
-        const pendingTag = tagInput.value.trim().toLowerCase();
+        const pendingTag = tagEditOptions.normalizeTag ? tagInput.value.trim().toLowerCase() : tagInput.value.trim();
         if (pendingTag && !tags.includes(pendingTag)) {
             tags.push(pendingTag);
         }
@@ -287,7 +324,7 @@ async function saveTags() {
     }
 
     // Get original tags to compare
-    const originalTagElements = document.querySelectorAll('.tooltip-tag');
+    const originalTagElements = scope.querySelectorAll('.tooltip-tag');
     const originalTags = Array.from(originalTagElements).map(tag => tag.textContent);
     
     // Check if tags have actually changed
@@ -301,59 +338,68 @@ async function saveTags() {
     }
     
     try {
-        // Save tags metadata
-        await getModelApiClient().saveModelMetadata(filePath, { tags: tags });
+        // Use custom save handler if provided, otherwise default model API
+        if (tagEditOptions.saveHandler) {
+            await tagEditOptions.saveHandler(filePath, tags);
+        } else {
+            await getModelApiClient().saveModelMetadata(filePath, { tags: tags });
+        }
         
         // Set flag to skip restoring original tags when exiting edit mode
         editBtn.dataset.skipRestore = "true";
         
-        // Update the compact tags display
-        const compactTagsContainer = document.querySelector('.model-tags-container');
-        if (compactTagsContainer) {
-            // Generate new compact tags HTML
-            const compactTagsDisplay = compactTagsContainer.querySelector('.model-tags-compact');
-            
-            if (compactTagsDisplay) {
-                // Clear current tags
-                compactTagsDisplay.innerHTML = '';
+        // Use custom onSaved if provided (e.g. for recipe dirty state + re-render)
+        if (tagEditOptions.onSaved) {
+            tagEditOptions.onSaved(tags);
+        } else {
+            // Update the compact tags display
+            const compactTagsContainer = scope;
+            if (compactTagsContainer) {
+                // Generate new compact tags HTML
+                const compactTagsDisplay = compactTagsContainer.querySelector('.model-tags-compact');
                 
-                // Add visible tags (up to 5)
-                const visibleTags = tags.slice(0, 5);
-                visibleTags.forEach(tag => {
-                    const span = document.createElement('span');
-                    span.className = 'model-tag-compact';
-                    span.textContent = tag;
-                    compactTagsDisplay.appendChild(span);
-                });
+                if (compactTagsDisplay) {
+                    // Clear current tags
+                    compactTagsDisplay.innerHTML = '';
+                    
+                    // Add visible tags (up to 5)
+                    const visibleTags = tags.slice(0, 5);
+                    visibleTags.forEach(tag => {
+                        const span = document.createElement('span');
+                        span.className = 'model-tag-compact';
+                        span.textContent = tag;
+                        compactTagsDisplay.appendChild(span);
+                    });
+                    
+                    // Add more indicator if needed
+                    const remainingCount = Math.max(0, tags.length - 5);
+                    if (remainingCount > 0) {
+                        const more = document.createElement('span');
+                        more.className = 'model-tag-more';
+                        more.dataset.count = remainingCount;
+                        more.textContent = `+${remainingCount}`;
+                        compactTagsDisplay.appendChild(more);
+                    }
+                }
                 
-                // Add more indicator if needed
-                const remainingCount = Math.max(0, tags.length - 5);
-                if (remainingCount > 0) {
-                    const more = document.createElement('span');
-                    more.className = 'model-tag-more';
-                    more.dataset.count = remainingCount;
-                    more.textContent = `+${remainingCount}`;
-                    compactTagsDisplay.appendChild(more);
+                // Update tooltip content
+                const tooltipContent = compactTagsContainer.querySelector('.tooltip-content');
+                if (tooltipContent) {
+                    tooltipContent.innerHTML = '';
+                    
+                    tags.forEach(tag => {
+                        const span = document.createElement('span');
+                        span.className = 'tooltip-tag';
+                        span.textContent = tag;
+                        tooltipContent.appendChild(span);
+                    });
                 }
             }
             
-            // Update tooltip content
-            const tooltipContent = compactTagsContainer.querySelector('.tooltip-content');
-            if (tooltipContent) {
-                tooltipContent.innerHTML = '';
-                
-                tags.forEach(tag => {
-                    const span = document.createElement('span');
-                    span.className = 'tooltip-tag';
-                    span.textContent = tag;
-                    tooltipContent.appendChild(span);
-                });
-            }
+            // Exit edit mode
+            editBtn.click();
         }
         
-        // Exit edit mode
-        editBtn.click();
-        
         showToast('modelTags.messages.updated', {}, 'success');
     } catch (error) {
         console.error('Error saving tags:', error);
@@ -470,16 +516,19 @@ function renderPriorityTagSuggestions(container, existingTags = []) {
 
 /**
  * Set up tag input behavior
+ * @param {Element} scopeContainer - The .model-tags-container element
  */
-function setupTagInput() {
-    const tagInput = document.querySelector('.metadata-input');
+function setupTagInput(scopeContainer) {
+    const tagInput = scopeContainer
+        ? scopeContainer.querySelector('.metadata-input')
+        : document.querySelector('.metadata-input');
     
     if (tagInput) {
         tagInput.focus();
         tagInput.addEventListener('keydown', function(e) {
             if (e.key === 'Enter') {
                 e.preventDefault();
-                addNewTag(this.value);
+                addNewTag(this.value, this);
                 this.value = ''; // Clear input after adding
             }
         });
@@ -504,9 +553,12 @@ function setupDeleteButtons() {
 
 /**
  * Enable drag-and-drop sorting for tag items
+ * @param {Element} [scopeContainer] - Optional scoped .model-tags-container element
  */
-function setupTagDragAndDrop() {
-    const container = document.querySelector(METADATA_ITEMS_CONTAINER_SELECTOR);
+function setupTagDragAndDrop(scopeContainer) {
+    const container = scopeContainer
+        ? scopeContainer.querySelector(METADATA_ITEMS_CONTAINER_SELECTOR)
+        : document.querySelector(METADATA_ITEMS_CONTAINER_SELECTOR);
     if (!container) {
         return;
     }
@@ -712,12 +764,14 @@ function finishPointerDrag() {
 /**
  * Add a new tag
  * @param {string} tag - Tag to add
+ * @param {Element} [scopeElement] - Element within the correct .model-tags-container for scoping
  */
-function addNewTag(tag) {
-    tag = tag.trim().toLowerCase();
+function addNewTag(tag, scopeElement = null) {
+    tag = tagEditOptions.normalizeTag ? tag.trim().toLowerCase() : tag.trim();
     if (!tag) return;
     
-    const tagsContainer = document.querySelector('.metadata-items');
+    const scope = scopeElement ? scopeElement.closest('.model-tags-container') : document;
+    const tagsContainer = scope.querySelector('.metadata-items');
     if (!tagsContainer) return;
     
     // Validation: Check length
@@ -762,7 +816,7 @@ function addNewTag(tag) {
     });
     
     tagsContainer.appendChild(newTag);
-    setupTagDragAndDrop();
+    setupTagDragAndDrop(scope);
     
     // Update status of items in the suggestions dropdown
     updateSuggestionsDropdown();

static/js/components/shared/utils.js

@@ -78,10 +78,12 @@ export function renderCompactTags(tags, filePath = '') {
 
 /**
  * Set up tag tooltip functionality
+ * @param {Element} [scopeContainer] - Optional container to scope the querySelector
  */
-export function setupTagTooltip() {
-    const tagsContainer = document.querySelector('.model-tags-container');
-    const tooltip = document.querySelector('.model-tags-tooltip');
+export function setupTagTooltip(scopeContainer = null) {
+    const root = scopeContainer || document;
+    const tagsContainer = root.querySelector('.model-tags-container');
+    const tooltip = root.querySelector('.model-tags-tooltip');
     
     if (tagsContainer && tooltip) {
         tagsContainer.addEventListener('mouseenter', () => {

static/js/statistics.js

@@ -1,6 +1,8 @@
 // Statistics page functionality
 import { appCore } from './core.js';
 import { showToast } from './utils/uiHelpers.js';
+import { translate } from './utils/i18nHelpers.js';
+import { i18n } from './i18n/index.js';
 
 // Chart.js import (assuming it's available globally or via CDN)
 // If Chart.js isn't available, we'll need to add it to the project
@@ -124,43 +126,43 @@ export class StatisticsManager {
             {
                 icon: 'fas fa-magic',
                 value: this.data.collection.total_models,
-                label: 'Total Models',
+                label: translate('statistics.metrics.totalModels'),
                 format: 'number'
             },
             {
                 icon: 'fas fa-database',
                 value: this.data.collection.total_size,
-                label: 'Total Storage',
+                label: translate('statistics.metrics.totalStorage'),
                 format: 'size'
             },
             {
                 icon: 'fas fa-play-circle',
                 value: this.data.collection.total_generations,
-                label: 'Total Generations',
+                label: translate('statistics.metrics.totalGenerations'),
                 format: 'number'
             },
             {
                 icon: 'fas fa-chart-line',
                 value: this.calculateUsageRate(),
-                label: 'Usage Rate',
+                label: translate('statistics.metrics.usageRate'),
                 format: 'percentage'
             },
             {
                 icon: 'fas fa-layer-group',
                 value: this.data.collection.lora_count,
-                label: 'LoRAs',
+                label: translate('statistics.metrics.loras'),
                 format: 'number'
             },
             {
                 icon: 'fas fa-check-circle',
                 value: this.data.collection.checkpoint_count,
-                label: 'Checkpoints',
+                label: translate('statistics.metrics.checkpoints'),
                 format: 'number'
             },
             {
                 icon: 'fas fa-code',
                 value: this.data.collection.embedding_count,
-                label: 'Embeddings',
+                label: translate('statistics.metrics.embeddings'),
                 format: 'number'
             }
         ];
@@ -189,18 +191,14 @@ export class StatisticsManager {
             case 'size':
                 return this.formatFileSize(value);
             case 'percentage':
-                return `${value.toFixed(1)}%`;
+                return new Intl.NumberFormat(i18n.getCurrentLocale(), { style: 'percent', maximumFractionDigits: 1 }).format(value / 100);
             default:
                 return value;
         }
     }
 
     formatFileSize(bytes) {
-        if (bytes === 0) return '0 Bytes';
-        const k = 1024;
-        const sizes = ['Bytes', 'KB', 'MB', 'GB', 'TB'];
-        const i = Math.floor(Math.log(bytes) / Math.log(k));
-        return parseFloat((bytes / Math.pow(k, i)).toFixed(1)) + ' ' + sizes[i];
+        return i18n.formatFileSize(bytes);
     }
 
     calculateUsageRate() {
@@ -250,7 +248,7 @@ export class StatisticsManager {
         if (!ctx || !this.data.collection) return;
 
         const data = {
-            labels: ['LoRAs', 'Checkpoints', 'Embeddings'],
+            labels: [translate('statistics.metrics.loras'), translate('statistics.metrics.checkpoints'), translate('statistics.metrics.embeddings')],
             datasets: [{
                 data: [
                     this.data.collection.lora_count, 
@@ -290,28 +288,28 @@ export class StatisticsManager {
         const checkpointData = this.data.baseModels.checkpoints;
         const embeddingData = this.data.baseModels.embeddings;
         
-        const allModels = new Set([
+        const allModels = Array.from(new Set([
             ...Object.keys(loraData), 
             ...Object.keys(checkpointData),
             ...Object.keys(embeddingData)
-        ]);
+        ])).sort();
         
         const data = {
-            labels: Array.from(allModels),
+            labels: allModels,
             datasets: [
                 {
-                    label: 'LoRAs',
-                    data: Array.from(allModels).map(model => loraData[model] || 0),
+                    label: translate('statistics.metrics.loras'),
+                    data: allModels.map(model => loraData[model] || 0),
                     backgroundColor: 'oklch(68% 0.28 256 / 0.7)'
                 },
                 {
-                    label: 'Checkpoints',
-                    data: Array.from(allModels).map(model => checkpointData[model] || 0),
+                    label: translate('statistics.metrics.checkpoints'),
+                    data: allModels.map(model => checkpointData[model] || 0),
                     backgroundColor: 'oklch(68% 0.28 200 / 0.7)'
                 },
                 {
-                    label: 'Embeddings',
-                    data: Array.from(allModels).map(model => embeddingData[model] || 0),
+                    label: translate('statistics.metrics.embeddings'),
+                    data: allModels.map(model => embeddingData[model] || 0),
                     backgroundColor: 'oklch(68% 0.28 120 / 0.7)'
                 }
             ]
@@ -345,21 +343,21 @@ export class StatisticsManager {
             labels: timeline.map(item => new Date(item.date).toLocaleDateString()),
             datasets: [
                 {
-                    label: 'LoRA Usage',
+                    label: translate('statistics.charts.loraUsage'),
                     data: timeline.map(item => item.lora_usage),
                     borderColor: 'oklch(68% 0.28 256)',
                     backgroundColor: 'oklch(68% 0.28 256 / 0.1)',
                     fill: true
                 },
                 {
-                    label: 'Checkpoint Usage',
+                    label: translate('statistics.charts.checkpointUsage'),
                     data: timeline.map(item => item.checkpoint_usage),
                     borderColor: 'oklch(68% 0.28 200)',
                     backgroundColor: 'oklch(68% 0.28 200 / 0.1)',
                     fill: true
                 },
                 {
-                    label: 'Embedding Usage',
+                    label: translate('statistics.charts.embeddingUsage'),
                     data: timeline.map(item => item.embedding_usage),
                     borderColor: 'oklch(68% 0.28 120)',
                     backgroundColor: 'oklch(68% 0.28 120 / 0.1)',
@@ -383,14 +381,14 @@ export class StatisticsManager {
                         display: true,
                         title: {
                             display: true,
-                            text: 'Date'
+                            text: translate('statistics.charts.date')
                         }
                     },
                     y: {
                         display: true,
                         title: {
                             display: true,
-                            text: 'Usage Count'
+                            text: translate('statistics.charts.usageCount')
                         }
                     }
                 }
@@ -416,7 +414,7 @@ export class StatisticsManager {
         const data = {
             labels: allModels.map(model => model.name),
             datasets: [{
-                label: 'Usage Count',
+                label: translate('statistics.charts.usageCount'),
                 data: allModels.map(model => model.usage_count),
                 backgroundColor: allModels.map(model => {
                     switch(model.type) {
@@ -450,7 +448,7 @@ export class StatisticsManager {
         if (!ctx || !this.data.collection) return;
 
         const data = {
-            labels: ['LoRAs', 'Checkpoints', 'Embeddings'],
+            labels: [translate('statistics.metrics.loras'), translate('statistics.metrics.checkpoints'), translate('statistics.metrics.embeddings')],
             datasets: [{
                 data: [
                     this.data.collection.lora_size, 
@@ -504,7 +502,7 @@ export class StatisticsManager {
 
         const data = {
             datasets: [{
-                label: 'Models',
+                label: translate('statistics.charts.models'),
                 data: allData.map(item => ({
                     x: item.size,
                     y: item.usage_count,
@@ -532,14 +530,14 @@ export class StatisticsManager {
                     x: {
                         title: {
                             display: true,
-                            text: 'File Size (bytes)'
+                            text: translate('statistics.charts.fileSizeBytes')
                         },
                         type: 'logarithmic'
                     },
                     y: {
                         title: {
                             display: true,
-                            text: 'Usage Count'
+                            text: translate('statistics.charts.usageCount')
                         }
                     }
                 },
@@ -548,7 +546,7 @@ export class StatisticsManager {
                         callbacks: {
                             label: (context) => {
                                 const point = context.raw;
-                                return `${point.name}: ${this.formatFileSize(point.x)}, ${point.y} uses`;
+                                return translate('statistics.tooltips.chartUsage', { name: point.name, size: this.formatFileSize(point.x), count: point.y });
                             }
                         }
                     }
@@ -563,12 +561,12 @@ export class StatisticsManager {
 
         const distribution = this.data.collection.model_types_distribution;
         const typeDisplayNames = {
-            lora: 'LoRA',
-            locon: 'LyCORIS',
-            dora: 'DoRA',
-            checkpoint: 'Checkpoint',
-            diffusion_model: 'Diffusion Model',
-            embedding: 'Embeddings'
+            lora: translate('statistics.modelTypes.lora'),
+            locon: translate('statistics.modelTypes.locon'),
+            dora: translate('statistics.modelTypes.dora'),
+            checkpoint: translate('statistics.modelTypes.checkpoint'),
+            diffusion_model: translate('statistics.modelTypes.diffusion_model'),
+            embedding: translate('statistics.modelTypes.embedding')
         };
 
         const colorPalette = {
@@ -610,7 +608,7 @@ export class StatisticsManager {
                                 const total = context.dataset.data.reduce((a, b) => a + b, 0);
                                 const value = context.parsed;
                                 const pct = ((value / total) * 100).toFixed(1);
-                                return ` ${context.label}: ${value} (${pct}%)`;
+                                return translate('statistics.tooltips.chartPercentage', { label: context.label, value, pct });
                             }
                         }
                     }
@@ -654,7 +652,7 @@ export class StatisticsManager {
         
         // Show loading indicator on initial load
         if (state.offset === 0) {
-            container.innerHTML = '<div class="loading-placeholder"><i class="fas fa-spinner fa-spin"></i> Loading...</div>';
+            container.innerHTML = '<div class="loading-placeholder"><i class="fas fa-spinner fa-spin"></i> ' + translate('statistics.placeholders.loading') + '</div>';
         }
 
         try {
@@ -670,7 +668,7 @@ export class StatisticsManager {
                 }
 
                 if (items.length === 0 && state.offset === 0) {
-                    container.innerHTML = '<div class="loading-placeholder">No models found</div>';
+                    container.innerHTML = '<div class="loading-placeholder">' + translate('statistics.placeholders.noModels') + '</div>';
                     state.hasMore = false;
                 } else if (items.length < state.limit) {
                     state.hasMore = false;
@@ -683,7 +681,7 @@ export class StatisticsManager {
                              onerror="this.src='/loras_static/images/no-preview.png'">
                         <div class="model-info">
                             <div class="model-name" title="${model.name}">${model.name}</div>
-                            <div class="model-meta">${model.base_model} • ${model.folder || 'Root'}</div>
+                            <div class="model-meta">${model.base_model} • ${model.folder || translate('statistics.placeholders.rootFolder')}</div>
                         </div>
                         <div class="model-usage">${model.usage_count}</div>
                     </div>
@@ -695,7 +693,7 @@ export class StatisticsManager {
         } catch (error) {
             console.error(`Error loading ${type} list:`, error);
             if (state.offset === 0) {
-                container.innerHTML = '<div class="loading-placeholder">Error loading data</div>';
+                container.innerHTML = '<div class="loading-placeholder">' + translate('statistics.placeholders.errorLoading') + '</div>';
             }
         } finally {
             state.isLoading = false;
@@ -718,7 +716,7 @@ export class StatisticsManager {
         ].sort((a, b) => b.size - a.size).slice(0, 10);
 
         if (allModels.length === 0) {
-            container.innerHTML = '<div class="loading-placeholder">No storage data available</div>';
+            container.innerHTML = '<div class="loading-placeholder">' + translate('statistics.placeholders.noStorageData') + '</div>';
             return;
         }
 
@@ -726,7 +724,7 @@ export class StatisticsManager {
             <div class="model-item">
                 <div class="model-info">
                     <div class="model-name" title="${model.name}">${model.name}</div>
-                    <div class="model-meta">${model.type} • ${model.base_model}</div>
+                    <div class="model-meta">${translate('statistics.modelTypes.' + model.type.toLowerCase())} • ${model.base_model}</div>
                 </div>
                 <div class="model-usage">${this.formatFileSize(model.size)}</div>
             </div>
@@ -744,7 +742,7 @@ export class StatisticsManager {
             const size = Math.ceil((tagData.count / maxCount) * 5);
             return `
                 <span class="tag-cloud-item size-${size}" 
-                      title="${tagData.tag}: ${tagData.count} models">
+                      title="${translate('statistics.tooltips.tagCount', { tag: tagData.tag, count: tagData.count })}">
                     ${tagData.tag}
                 </span>
             `;
@@ -758,17 +756,30 @@ export class StatisticsManager {
         const insights = this.data.insights.insights;
         
         if (insights.length === 0) {
-            container.innerHTML = '<div class="loading-placeholder">No insights available</div>';
+            container.innerHTML = '<div class="loading-placeholder">' + translate('statistics.insights.noInsights') + '</div>';
             return;
         }
 
-        container.innerHTML = insights.map(insight => `
+        container.innerHTML = insights.map(insight => {
+            const params = insight.params || {};
+            let title, description, suggestion;
+            if (insight.key) {
+                title = translate('statistics.' + insight.key + '.title', params);
+                description = translate('statistics.' + insight.key + '.description', params);
+                suggestion = translate('statistics.' + insight.key + '.suggestion', params);
+            } else {
+                // Backward compatibility for insights without key/params
+                title = insight.title || '';
+                description = insight.description || '';
+                suggestion = insight.suggestion || '';
+            }
+            return `
             <div class="insight-card type-${insight.type}">
-                <div class="insight-title">${insight.title}</div>
-                <div class="insight-description">${insight.description}</div>
-                <div class="insight-suggestion">${insight.suggestion}</div>
+                <div class="insight-title">${title}</div>
+                <div class="insight-description">${description}</div>
+                <div class="insight-suggestion">${suggestion}</div>
             </div>
-        `).join('');
+        `}).join('');
 
         // Render collection analysis cards
         this.renderCollectionAnalysis();
@@ -782,25 +793,25 @@ export class StatisticsManager {
             {
                 icon: 'fas fa-percentage',
                 value: this.calculateUsageRate(),
-                label: 'Usage Rate',
+                label: translate('statistics.metrics.usageRate'),
                 format: 'percentage'
             },
             {
                 icon: 'fas fa-tags',
                 value: this.data.tags?.total_unique_tags || 0,
-                label: 'Unique Tags',
+                label: translate('statistics.metrics.uniqueTags'),
                 format: 'number'
             },
             {
                 icon: 'fas fa-clock',
                 value: this.data.collection.unused_loras + this.data.collection.unused_checkpoints,
-                label: 'Unused Models',
+                label: translate('statistics.metrics.unusedModels'),
                 format: 'number'
             },
             {
                 icon: 'fas fa-chart-line',
                 value: this.calculateAverageUsage(),
-                label: 'Avg. Uses/Model',
+                label: translate('statistics.metrics.avgUsesPerModel'),
                 format: 'decimal'
             }
         ];
@@ -829,7 +840,7 @@ export class StatisticsManager {
         const chartCanvases = document.querySelectorAll('canvas');
         chartCanvases.forEach(canvas => {
             const container = canvas.parentElement;
-            container.innerHTML = '<div class="loading-placeholder"><i class="fas fa-chart-bar"></i> Chart requires Chart.js library</div>';
+            container.innerHTML = '<div class="loading-placeholder"><i class="fas fa-chart-bar"></i> ' + translate('statistics.placeholders.chartLibraryMissing') + '</div>';
         });
     }
 

templates/components/recipe_modal.html

@@ -6,13 +6,8 @@
             <h2 id="recipeModalTitle">Recipe Details</h2>
             <!-- Header Actions: populated dynamically in RecipeModal.js -->
             <div class="recipe-header-actions" id="recipeHeaderActions"></div>
-            <!-- Recipe Tags Container -->
-            <div class="recipe-tags-container">
-                <div class="recipe-tags-compact" id="recipeTagsCompact"></div>
-                <div class="recipe-tags-tooltip" id="recipeTagsTooltip">
-                    <div class="tooltip-content" id="recipeTagsTooltipContent"></div>
-                </div>
-            </div>
+            <!-- Recipe Tags Container (rendered by renderCompactTags) -->
+            <div id="recipeTagsContainer"></div>
         </header>
         
         <div class="modal-body">

tests/frontend/components/contextMenu.interactions.test.js

@@ -246,12 +246,7 @@ describe('Interaction-level regression coverage', () => {
         <div class="modal-content">
           <header class="recipe-modal-header">
             <h2 id="recipeModalTitle">Recipe Details</h2>
-            <div class="recipe-tags-container">
-              <div class="recipe-tags-compact" id="recipeTagsCompact"></div>
-              <div class="recipe-tags-tooltip" id="recipeTagsTooltip">
-                <div class="tooltip-content" id="recipeTagsTooltipContent"></div>
-              </div>
-            </div>
+            <div id="recipeTagsContainer"></div>
           </header>
           <div class="modal-body">
             <div class="recipe-top-section">
@@ -375,12 +370,7 @@ describe('Interaction-level regression coverage', () => {
         <div class="modal-content">
           <header class="recipe-modal-header">
             <h2 id="recipeModalTitle">Recipe Details</h2>
-            <div class="recipe-tags-container">
-              <div class="recipe-tags-compact" id="recipeTagsCompact"></div>
-              <div class="recipe-tags-tooltip" id="recipeTagsTooltip">
-                <div class="tooltip-content" id="recipeTagsTooltipContent"></div>
-              </div>
-            </div>
+            <div id="recipeTagsContainer"></div>
           </header>
           <div class="modal-body">
             <div class="recipe-top-section">
@@ -474,12 +464,7 @@ describe('Interaction-level regression coverage', () => {
         <div class="modal-content">
           <header class="recipe-modal-header">
             <h2 id="recipeModalTitle">Recipe Details</h2>
-            <div class="recipe-tags-container">
-              <div class="recipe-tags-compact" id="recipeTagsCompact"></div>
-              <div class="recipe-tags-tooltip" id="recipeTagsTooltip">
-                <div class="tooltip-content" id="recipeTagsTooltipContent"></div>
-              </div>
-            </div>
+            <div id="recipeTagsContainer"></div>
           </header>
           <div class="modal-body">
             <div class="recipe-top-section">
@@ -588,12 +573,7 @@ describe('Interaction-level regression coverage', () => {
         <div class="modal-content">
           <header class="recipe-modal-header">
             <h2 id="recipeModalTitle">Recipe Details</h2>
-            <div class="recipe-tags-container">
-              <div class="recipe-tags-compact" id="recipeTagsCompact"></div>
-              <div class="recipe-tags-tooltip" id="recipeTagsTooltip">
-                <div class="tooltip-content" id="recipeTagsTooltipContent"></div>
-              </div>
-            </div>
+            <div id="recipeTagsContainer"></div>
           </header>
           <div class="modal-body">
             <div class="recipe-top-section">
@@ -682,12 +662,7 @@ describe('Interaction-level regression coverage', () => {
         <div class="modal-content">
           <header class="recipe-modal-header">
             <h2 id="recipeModalTitle">Recipe Details</h2>
-            <div class="recipe-tags-container">
-              <div class="recipe-tags-compact" id="recipeTagsCompact"></div>
-              <div class="recipe-tags-tooltip" id="recipeTagsTooltip">
-                <div class="tooltip-content" id="recipeTagsTooltipContent"></div>
-              </div>
-            </div>
+            <div id="recipeTagsContainer"></div>
           </header>
           <div class="modal-body">
             <div class="recipe-top-section">
@@ -790,12 +765,7 @@ describe('Interaction-level regression coverage', () => {
         <div class="modal-content">
           <header class="recipe-modal-header">
             <h2 id="recipeModalTitle">Recipe Details</h2>
-            <div class="recipe-tags-container">
-              <div class="recipe-tags-compact" id="recipeTagsCompact"></div>
-              <div class="recipe-tags-tooltip" id="recipeTagsTooltip">
-                <div class="tooltip-content" id="recipeTagsTooltipContent"></div>
-              </div>
-            </div>
+            <div id="recipeTagsContainer"></div>
           </header>
           <div class="modal-body">
             <div class="recipe-top-section">
@@ -873,12 +843,10 @@ describe('Interaction-level regression coverage', () => {
     });
 
     recipeModal.markFieldDirty('title');
-    recipeModal.markFieldDirty('tags');
     recipeModal.markFieldDirty('prompt');
     recipeModal.markFieldDirty('negative_prompt');
 
     document.querySelector('#recipeTitleEditor .title-input').value = 'Local Title';
-    document.querySelector('#recipeTagsEditor .tags-input').value = 'local-tag-1, local-tag-2';
     document.getElementById('recipePromptInput').value = 'local prompt';
     document.getElementById('recipeNegativePromptInput').value = 'local negative';
 
@@ -899,7 +867,6 @@ describe('Interaction-level regression coverage', () => {
     await flushAsyncTasks();
 
     expect(document.querySelector('#recipeTitleEditor .title-input').value).toBe('Local Title');
-    expect(document.querySelector('#recipeTagsEditor .tags-input').value).toBe('local-tag-1, local-tag-2');
     expect(document.getElementById('recipePromptInput').value).toBe('local prompt');
     expect(document.getElementById('recipeNegativePromptInput').value).toBe('local negative');
     expect(recipeModal.currentRecipe.title).toBe('Hydrated Title');
@@ -918,12 +885,7 @@ describe('Interaction-level regression coverage', () => {
         <div class="modal-content">
           <header class="recipe-modal-header">
             <h2 id="recipeModalTitle">Recipe Details</h2>
-            <div class="recipe-tags-container">
-              <div class="recipe-tags-compact" id="recipeTagsCompact"></div>
-              <div class="recipe-tags-tooltip" id="recipeTagsTooltip">
-                <div class="tooltip-content" id="recipeTagsTooltipContent"></div>
-              </div>
-            </div>
+            <div id="recipeTagsContainer"></div>
           </header>
           <div class="modal-body">
             <div class="recipe-top-section">
@@ -1057,12 +1019,7 @@ describe('Interaction-level regression coverage', () => {
         <div class="modal-content">
           <header class="recipe-modal-header">
             <h2 id="recipeModalTitle">Recipe Details</h2>
-            <div class="recipe-tags-container">
-              <div class="recipe-tags-compact" id="recipeTagsCompact"></div>
-              <div class="recipe-tags-tooltip" id="recipeTagsTooltip">
-                <div class="tooltip-content" id="recipeTagsTooltipContent"></div>
-              </div>
-            </div>
+            <div id="recipeTagsContainer"></div>
           </header>
           <div class="modal-body">
             <div class="recipe-top-section">
@@ -1170,8 +1127,7 @@ describe('Interaction-level regression coverage', () => {
       <div id="recipeModal" class="modal">
         <div id="recipeModalTitle"></div>
         <div id="recipePreviewContainer"></div>
-        <div id="recipeTagsCompact"></div>
-        <div id="recipeTagsTooltip"><div id="recipeTagsTooltipContent"></div></div>
+        <div id="recipeTagsContainer"></div>
         <div id="recipePrompt"></div>
         <textarea id="recipePromptInput"></textarea>
         <div id="recipeNegativePrompt"></div>
@@ -1224,8 +1180,7 @@ describe('Interaction-level regression coverage', () => {
       <div id="recipeModal" class="modal">
         <div id="recipeModalTitle"></div>
         <div id="recipePreviewContainer"></div>
-        <div id="recipeTagsCompact"></div>
-        <div id="recipeTagsTooltip"><div id="recipeTagsTooltipContent"></div></div>
+        <div id="recipeTagsContainer"></div>
         <div id="recipePrompt"></div>
         <textarea id="recipePromptInput"></textarea>
         <div id="recipeNegativePrompt"></div>
@@ -1300,12 +1255,7 @@ describe('Interaction-level regression coverage', () => {
         <div class="modal-content">
           <header class="recipe-modal-header">
             <h2 id="recipeModalTitle">Recipe Details</h2>
-            <div class="recipe-tags-container">
-              <div class="recipe-tags-compact" id="recipeTagsCompact"></div>
-              <div class="recipe-tags-tooltip" id="recipeTagsTooltip">
-                <div class="tooltip-content" id="recipeTagsTooltipContent"></div>
-              </div>
-            </div>
+            <div id="recipeTagsContainer"></div>
           </header>
           <div class="modal-body">
             <div class="recipe-top-section">
@@ -1418,12 +1368,7 @@ describe('Interaction-level regression coverage', () => {
         <div class="modal-content">
           <header class="recipe-modal-header">
             <h2 id="recipeModalTitle">Recipe Details</h2>
-            <div class="recipe-tags-container">
-              <div class="recipe-tags-compact" id="recipeTagsCompact"></div>
-              <div class="recipe-tags-tooltip" id="recipeTagsTooltip">
-                <div class="tooltip-content" id="recipeTagsTooltipContent"></div>
-              </div>
-            </div>
+            <div id="recipeTagsContainer"></div>
           </header>
           <div class="modal-body">
             <div class="recipe-top-section">
@@ -1541,12 +1486,7 @@ describe('Interaction-level regression coverage', () => {
         <div class="modal-content">
           <header class="recipe-modal-header">
             <h2 id="recipeModalTitle">Recipe Details</h2>
-            <div class="recipe-tags-container">
-              <div class="recipe-tags-compact" id="recipeTagsCompact"></div>
-              <div class="recipe-tags-tooltip" id="recipeTagsTooltip">
-                <div class="tooltip-content" id="recipeTagsTooltipContent"></div>
-              </div>
-            </div>
+            <div id="recipeTagsContainer"></div>
           </header>
           <div class="modal-body">
             <div class="recipe-top-section">
@@ -1654,12 +1594,7 @@ describe('Interaction-level regression coverage', () => {
         <div class="modal-content">
           <header class="recipe-modal-header">
             <h2 id="recipeModalTitle">Recipe Details</h2>
-            <div class="recipe-tags-container">
-              <div class="recipe-tags-compact" id="recipeTagsCompact"></div>
-              <div class="recipe-tags-tooltip" id="recipeTagsTooltip">
-                <div class="tooltip-content" id="recipeTagsTooltipContent"></div>
-              </div>
-            </div>
+            <div id="recipeTagsContainer"></div>
           </header>
           <div class="modal-body">
             <div class="recipe-top-section">
@@ -1776,12 +1711,7 @@ describe('Interaction-level regression coverage', () => {
         <div class="modal-content">
           <header class="recipe-modal-header">
             <h2 id="recipeModalTitle">Recipe Details</h2>
-            <div class="recipe-tags-container">
-              <div class="recipe-tags-compact" id="recipeTagsCompact"></div>
-              <div class="recipe-tags-tooltip" id="recipeTagsTooltip">
-                <div class="tooltip-content" id="recipeTagsTooltipContent"></div>
-              </div>
-            </div>
+            <div id="recipeTagsContainer"></div>
           </header>
           <div class="modal-body">
             <div class="recipe-top-section">
@@ -1878,12 +1808,7 @@ describe('Interaction-level regression coverage', () => {
         <div class="modal-content">
           <header class="recipe-modal-header">
             <h2 id="recipeModalTitle">Recipe Details</h2>
-            <div class="recipe-tags-container">
-              <div class="recipe-tags-compact" id="recipeTagsCompact"></div>
-              <div class="recipe-tags-tooltip" id="recipeTagsTooltip">
-                <div class="tooltip-content" id="recipeTagsTooltipContent"></div>
-              </div>
-            </div>
+            <div id="recipeTagsContainer"></div>
           </header>
           <div class="modal-body">
             <div class="recipe-top-section">
@@ -2007,12 +1932,7 @@ describe('Interaction-level regression coverage', () => {
         <div class="modal-content">
           <header class="recipe-modal-header">
             <h2 id="recipeModalTitle">Recipe Details</h2>
-            <div class="recipe-tags-container">
-              <div class="recipe-tags-compact" id="recipeTagsCompact"></div>
-              <div class="recipe-tags-tooltip" id="recipeTagsTooltip">
-                <div class="tooltip-content" id="recipeTagsTooltipContent"></div>
-              </div>
-            </div>
+            <div id="recipeTagsContainer"></div>
           </header>
           <div class="modal-body">
             <div class="recipe-top-section">

tests/i18n/test_i18n.py

@@ -80,6 +80,8 @@ FALSE_POSITIVES = {
     "array",
     "object",
     "non.existent.key",
+    "statistics.modelTypes.",
+    "statistics.",
 }
 
 SPECIAL_UI_HELPER_KEYS = {

tests/metadata_collector/test_metadata_collector.py

@@ -733,6 +733,65 @@ def test_lora_manager_cache_updates_when_loras_removed(metadata_registry):
     assert "lora_node" not in metadata[LORAS]
 
 
+def test_lora_text_loader_extracts_loras_from_syntax(metadata_registry):
+    """LoraTextLoaderLM extractor parses <lora:name:strength> tags from lora_syntax string."""
+    metadata_registry.start_collection("prompt1")
+
+    metadata_registry.record_node_execution(
+        "text_loader",
+        "LoraTextLoaderLM",
+        {"lora_syntax": ["<lora:foo:0.8> <lora:bar:1.0>"]},
+        None,
+    )
+
+    metadata = metadata_registry.get_metadata("prompt1")
+
+    assert "text_loader" in metadata[LORAS]
+    lora_list = metadata[LORAS]["text_loader"]["lora_list"]
+    assert len(lora_list) == 2
+    assert lora_list[0] == {"name": "foo", "strength": 0.8}
+    assert lora_list[1] == {"name": "bar", "strength": 1.0}
+
+
+def test_lora_text_loader_extracts_loras_from_lora_stack(metadata_registry):
+    """LoraTextLoaderLM extractor also processes the optional lora_stack input."""
+    metadata_registry.start_collection("prompt1")
+
+    metadata_registry.record_node_execution(
+        "stack_loader",
+        "LoraTextLoaderLM",
+        {
+            "lora_syntax": [""],
+            "lora_stack": (("/models/loras/my-lora.safetensors", 0.6, 0.5),),
+        },
+        None,
+    )
+
+    metadata = metadata_registry.get_metadata("prompt1")
+
+    assert "stack_loader" in metadata[LORAS]
+    lora_list = metadata[LORAS]["stack_loader"]["lora_list"]
+    assert len(lora_list) == 1
+    assert lora_list[0] == {"name": "my-lora", "strength": 0.6}
+
+
+def test_lora_text_loader_handles_empty_syntax(metadata_registry):
+    """LoraTextLoaderLM extractor produces no metadata when no loras are provided."""
+    metadata_registry.start_collection("prompt1")
+
+    metadata_registry.record_node_execution(
+        "empty_loader",
+        "LoraTextLoaderLM",
+        {"lora_syntax": [""]},
+        None,
+    )
+
+    metadata = metadata_registry.get_metadata("prompt1")
+
+    assert "empty_loader" not in metadata[LORAS]
+
+
+
 def test_lora_manager_checkpoint_and_unet_loaders_extract_models(metadata_registry):
     metadata_registry.start_collection("prompt1")
 

tests/routes/test_stats_routes.py

@@ -302,15 +302,15 @@ async def test_get_insights(stats_routes):
     insights = payload["data"]["insights"]
     assert len(insights) == 3
 
-    titles = {entry["title"] for entry in insights}
-    assert "High Number of Unused LoRAs" in titles
-    assert "Unused Checkpoints Detected" in titles
-    assert "High Number of Unused Embeddings" in titles
+    keys = {entry["key"] for entry in insights}
+    assert "insights.unusedLoras.high" in keys
+    assert "insights.unusedCheckpoints.detected" in keys
+    assert "insights.unusedEmbeddings.high" in keys
 
-    descriptions = {entry["description"] for entry in insights}
-    assert any("2/3" in desc for desc in descriptions)
-    assert any("1/2" in desc for desc in descriptions)
-    assert any("1/1" in desc for desc in descriptions)
+    params_list = [entry["params"] for entry in insights]
+    assert any(p["total"] == "3" for p in params_list)
+    assert any(p["total"] == "2" for p in params_list)
+    assert any(p["total"] == "1" for p in params_list)
 
 
 @pytest.mark.asyncio

tests/utils/test_example_images_paths.py

@@ -9,6 +9,7 @@ import pytest
 from py.services.settings_manager import get_settings_manager
 from py.utils.example_images_paths import (
     ensure_library_root_exists,
+    find_non_compliant_items_in_example_images_root,
     get_model_folder,
     get_model_relative_path,
     is_valid_example_images_root,
@@ -140,3 +141,68 @@ def test_is_valid_example_images_root_accepts_legacy_library_structure(tmp_path,
     (hash_folder / 'image.png').write_text('data', encoding='utf-8')
 
     assert is_valid_example_images_root(str(tmp_path)) is True
+
+
+def test_find_non_compliant_items_returns_empty_for_valid_root(tmp_path, settings_manager):
+    """An empty folder or one with only hash dirs should return []."""
+    settings_manager.settings['example_images_path'] = str(tmp_path)
+
+    # Empty folder
+    assert find_non_compliant_items_in_example_images_root(str(tmp_path)) == []
+
+    # Only hash folders
+    hash_folder = tmp_path / ('f' * 64)
+    hash_folder.mkdir()
+    (hash_folder / 'image.png').write_text('data', encoding='utf-8')
+    assert find_non_compliant_items_in_example_images_root(str(tmp_path)) == []
+
+
+def test_find_non_compliant_items_returns_offending_names(tmp_path, settings_manager):
+    """A folder with non-hash items should return their names."""
+    settings_manager.settings['example_images_path'] = str(tmp_path)
+
+    # Create a valid hash folder so the root is otherwise acceptable
+    hash_folder = tmp_path / ('a' * 64)
+    hash_folder.mkdir()
+
+    # Add an offending file
+    (tmp_path / 'readme.txt').write_text('hello', encoding='utf-8')
+    assert find_non_compliant_items_in_example_images_root(str(tmp_path)) == ['readme.txt']
+
+    # Add an offending directory with content (empty dirs are accepted as
+    # potential legacy library folders by _library_folder_has_only_hash_dirs)
+    offending_dir = tmp_path / 'not_a_hash'
+    offending_dir.mkdir()
+    (offending_dir / 'some_file.txt').write_text('data', encoding='utf-8')
+    items = find_non_compliant_items_in_example_images_root(str(tmp_path))
+    assert 'readme.txt' in items
+    assert 'not_a_hash' in items
+
+
+def test_find_non_compliant_items_ignores_hidden_files(tmp_path, settings_manager):
+    """Hidden/system files should not appear in offending list."""
+    settings_manager.settings['example_images_path'] = str(tmp_path)
+
+    # .DS_Store is an allowed file
+    (tmp_path / '.DS_Store').write_text('', encoding='utf-8')
+    assert find_non_compliant_items_in_example_images_root(str(tmp_path)) == []
+
+    # Thumbs.db too
+    (tmp_path / 'Thumbs.db').write_text('', encoding='utf-8')
+    assert find_non_compliant_items_in_example_images_root(str(tmp_path)) == []
+
+
+def test_find_non_compliant_items_accepts_download_progress_json(tmp_path, settings_manager):
+    """.download_progress.json should be recognised as a valid metadata file."""
+    settings_manager.settings['example_images_path'] = str(tmp_path)
+
+    (tmp_path / '.download_progress.json').write_text('{}', encoding='utf-8')
+    assert find_non_compliant_items_in_example_images_root(str(tmp_path)) == []
+
+
+def test_find_non_compliant_items_reports_directory_error(tmp_path):
+    """When the directory cannot be listed, return an explanatory message."""
+    non_existent = tmp_path / 'does-not-exist'
+    result = find_non_compliant_items_in_example_images_root(str(non_existent))
+    assert len(result) == 1
+    assert 'cannot list directory' in result[0]