chore(release): bump version to v1.0.5 and add release notes

README.md

@@ -56,6 +56,27 @@ Insomnia Art Designs, megakirbs, Brennok, 2018cfh, W+K+White, wackop, Takkan, Ca
 
 ## Release Notes
 
+### v1.0.5
+
+* **Excluded Models Management View** - Added a new global-menu view for excluded models, with actions to restore them or delete them permanently.
+* **Fix for `401 Unauthorized` Downloads** - Fixed an issue where some `civitai.red` downloads could lose authentication during redirect and fail with `401 Unauthorized`.
+
+### v1.0.4
+
+* **Civitai Domain Split Support** - Added support for `civitai.com` and `civitai.red` model URLs and recipe/image URLs across import, analysis, and download flows.
+* **Civitai API Host Migration** - Updated core Civitai API requests to use `civitai.red` for compatibility with Civitai's current API host.
+* **Configurable Civitai View Host** - Added a setting to choose which Civitai site opens by default for model, search, and view links.
+* **401 Unauthorized Reminder** - Some users have reported `401 Unauthorized` errors. If you run into this, try generating a new API key on `civitai.red` and updating it in LoRA Manager settings.
+
+### v1.0.3
+
+* **Custom Recipe Storage Path** - Added support for configuring a custom storage path for recipes, with migration support to move existing recipe data when changing locations.
+* **Wildcard Support for LM Text/Prompt Nodes** - The LM `Text` node and `Prompt` node now support the new `/wildcard` command, with runtime wildcard expansion and support for dynamic prompt syntax for more flexible prompt construction.
+* **System Diagnostics ("Doctor")** - Added a new diagnostics feature to help surface environment and setup issues more clearly.
+* **User-State Backup Support** - Added backup support for user state, with accompanying UI and clearer backup scope messaging in Settings.
+* **Downloaded Status Visibility** - Added clearer downloaded-status UX so previously downloaded model versions are easier to recognize.
+* **Autocomplete Performance Improvements** - Fixed autocomplete performance issues to reduce tag-search overhead and improve responsiveness.
+
 ### v1.0.2
 
 * **Model Download History Tracking** - LoRA Manager now keeps a history of downloaded model versions, allowing it to recognize whether a version has been downloaded before, even if it is no longer currently present in your library.
@@ -101,7 +122,7 @@ Insomnia Art Designs, megakirbs, Brennok, 2018cfh, W+K+White, wackop, Takkan, Ca
 
 ### v0.9.14
 * **LoRA Cycler Node** - Introduced a new LoRA Cycler node that enables iteration through specified LoRAs with support for repeat count and pause iteration functionality. Refer to the new "Lora Cycler" template workflow for concrete example.
-* **Enhanced Prompt Node with Tag Autocomplete** - Enhanced the Prompt node with comprehensive tag autocomplete based on merged Danbooru + e621 tags. Supports tag search and autocomplete functionality. Implemented a command system with shortcuts like `/char` or `/artist` for category-specific tag searching. Added `/ac` or `/noac` commands to quickly enable or disable autocomplete. Refer to the "Lora Manager Basic" template workflow in ComfyUI -> Templates -> ComfyUI-Lora-Manager for detailed tips.
+* **Enhanced Prompt Node with Tag Autocomplete** - Enhanced the Prompt node with comprehensive tag autocomplete based on merged Danbooru + e621 tags. Supports tag search and autocomplete functionality. Implemented a command system with shortcuts like `/character` or `/artist` for category-specific tag searching. Added `/ac` or `/noac` commands to quickly enable or disable autocomplete. Refer to the "Lora Manager Basic" template workflow in ComfyUI -> Templates -> ComfyUI-Lora-Manager for detailed tips.
 * **Bug Fixes & Stability** - Addressed multiple bugs and improved overall stability.
 
 ### v0.9.12
@@ -253,6 +274,41 @@ pip install -r requirements.txt
    - Paste into the Lora Loader node's text input
    - The node will automatically apply preset strength and trigger words
 
+### Wildcards for TextLM / PromptLM
+
+`Text (LoraManager)` and `Prompt (LoraManager)` support `/wildcard` autocomplete plus runtime wildcard expansion.
+
+- Wildcard files live in `{settings folder}/wildcards/`
+- When you type `/wildcard` and no wildcard files exist yet, the autocomplete dropdown shows the exact folder path and lets you open it
+- Supported formats: `.txt`, `.yaml`, `.yml`, `.json`
+
+Format rules:
+
+- `wildcards/animals/cat.txt` becomes `__animals/cat__`
+- `.txt` files use one option per line
+- YAML / JSON files use nested keys that end in string arrays
+
+Examples:
+
+```txt
+# wildcards/color.txt
+red
+blue
+green
+```
+
+Use it as `__color__`.
+
+```yaml
+# wildcards/colors.yaml
+palette:
+  warm:
+    - red
+    - orange
+```
+
+Use it as `__palette/warm__`.
+
 ### Filename Format Patterns for Save Image Node
 
 The Save Image Node supports dynamic filename generation using pattern codes. You can customize how your images are named using the following format patterns:

locales/de.json

@@ -175,6 +175,9 @@
             "success": "{count} Rezepte erfolgreich repariert.",
             "cancelled": "Reparatur abgebrochen. {count} Rezepte wurden repariert.",
             "error": "Recipe-Reparatur fehlgeschlagen: {message}"
+        },
+        "manageExcludedModels": {
+            "label": "Ausgeschlossene Modelle verwalten"
         }
     },
     "header": {
@@ -250,6 +253,19 @@
         "civitaiApiKey": "Civitai API Key",
         "civitaiApiKeyPlaceholder": "Geben Sie Ihren Civitai API Key ein",
         "civitaiApiKeyHelp": "Wird für die Authentifizierung beim Herunterladen von Modellen von Civitai verwendet",
+        "civitaiHost": {
+            "label": "Civitai-Host",
+            "help": "Wählen Sie aus, welche Civitai-Seite geöffnet wird, wenn Sie „View on Civitai“-Links verwenden.",
+            "options": {
+                "com": "civitai.com (nur SFW)",
+                "red": "civitai.red (uneingeschränkt)"
+            }
+        },
+        "civitaiHostBanner": {
+            "title": "Civitai-Host-Einstellung verfügbar",
+            "content": "Civitai verwendet jetzt civitai.com für SFW-Inhalte und civitai.red für uneingeschränkte Inhalte. In den Einstellungen können Sie ändern, welche Seite standardmäßig geöffnet wird.",
+            "openSettings": "Einstellungen öffnen"
+        },
         "openSettingsFileLocation": {
             "label": "Einstellungsordner öffnen",
             "tooltip": "Den Ordner mit der settings.json öffnen",
@@ -667,6 +683,7 @@
             "moveToFolder": "In Ordner verschieben",
             "repairMetadata": "Metadaten reparieren",
             "excludeModel": "Modell ausschließen",
+            "restoreModel": "Modell wiederherstellen",
             "deleteModel": "Modell löschen",
             "shareRecipe": "Rezept teilen",
             "viewAllLoras": "Alle LoRAs anzeigen",
@@ -1790,6 +1807,8 @@
             "deleteFailed": "Fehler beim Löschen von {type}: {message}",
             "excludeSuccess": "{type} erfolgreich ausgeschlossen",
             "excludeFailed": "Fehler beim Ausschließen von {type}: {message}",
+            "restoreSuccess": "{type} erfolgreich wiederhergestellt",
+            "restoreFailed": "{type} konnte nicht wiederhergestellt werden: {message}",
             "fileNameUpdated": "Dateiname erfolgreich aktualisiert",
             "fileRenameFailed": "Fehler beim Umbenennen der Datei: {error}",
             "previewUpdated": "Vorschau erfolgreich aktualisiert",

locales/en.json

@@ -175,6 +175,9 @@
             "success": "Successfully repaired {count} recipes.",
             "cancelled": "Repair cancelled. {count} recipes were repaired.",
             "error": "Recipe repair failed: {message}"
+        },
+        "manageExcludedModels": {
+            "label": "Manage Excluded Models"
         }
     },
     "header": {
@@ -250,6 +253,19 @@
         "civitaiApiKey": "Civitai API Key",
         "civitaiApiKeyPlaceholder": "Enter your Civitai API key",
         "civitaiApiKeyHelp": "Used for authentication when downloading models from Civitai",
+        "civitaiHost": {
+            "label": "Civitai host",
+            "help": "Choose which Civitai site opens when using View on Civitai links.",
+            "options": {
+                "com": "civitai.com (SFW)",
+                "red": "civitai.red (unrestricted)"
+            }
+        },
+        "civitaiHostBanner": {
+            "title": "Civitai host preference available",
+            "content": "Civitai now uses civitai.com for SFW content and civitai.red for unrestricted content. You can change which site opens by default in Settings.",
+            "openSettings": "Open Settings"
+        },
         "openSettingsFileLocation": {
             "label": "Open settings folder",
             "tooltip": "Open folder containing settings.json",
@@ -667,6 +683,7 @@
             "moveToFolder": "Move to Folder",
             "repairMetadata": "Repair metadata",
             "excludeModel": "Exclude Model",
+            "restoreModel": "Restore Model",
             "deleteModel": "Delete Model",
             "shareRecipe": "Share Recipe",
             "viewAllLoras": "View All LoRAs",
@@ -685,9 +702,9 @@
                 "title": "Import a recipe from image or URL",
                 "urlLocalPath": "URL / Local Path",
                 "uploadImage": "Upload Image",
-                "urlSectionDescription": "Input a Civitai image URL or local file path to import as a recipe.",
+                "urlSectionDescription": "Input a Civitai image URL from civitai.com or civitai.red, or a local file path, to import as a recipe.",
                 "imageUrlOrPath": "Image URL or File Path:",
-                "urlPlaceholder": "https://civitai.com/images/... or C:/path/to/image.png",
+                "urlPlaceholder": "https://civitai.com/images/... or https://civitai.red/images/... or C:/path/to/image.png",
                 "fetchImage": "Fetch Image",
                 "uploadSectionDescription": "Upload an image with LoRA metadata to import as a recipe.",
                 "selectImage": "Select Image",
@@ -1090,9 +1107,9 @@
             },
             "proceedText": "Only proceed if you're sure this is what you want.",
             "urlLabel": "Civitai Model URL:",
-            "urlPlaceholder": "https://civitai.com/models/649516/model-name?modelVersionId=726676",
+            "urlPlaceholder": "https://civitai.com/models/649516/model-name?modelVersionId=726676 or https://civitai.red/models/649516/model-name?modelVersionId=726676",
             "helpText": {
-                "title": "Paste any Civitai model URL. Supported formats:",
+                "title": "Paste any Civitai model URL from civitai.com or civitai.red. Supported formats:",
                 "format1": "https://civitai.com/models/649516",
                 "format2": "https://civitai.com/models/649516?modelVersionId=726676",
                 "format3": "https://civitai.com/models/649516/model-name?modelVersionId=726676",
@@ -1790,6 +1807,8 @@
             "deleteFailed": "Failed to delete {type}: {message}",
             "excludeSuccess": "{type} excluded successfully",
             "excludeFailed": "Failed to exclude {type}: {message}",
+            "restoreSuccess": "{type} restored successfully",
+            "restoreFailed": "Failed to restore {type}: {message}",
             "fileNameUpdated": "File name updated successfully",
             "fileRenameFailed": "Failed to rename file: {error}",
             "previewUpdated": "Preview updated successfully",

locales/es.json

@@ -175,6 +175,9 @@
             "success": "Se repararon con éxito {count} recetas.",
             "cancelled": "Reparación cancelada. {count} recetas fueron reparadas.",
             "error": "Error al reparar recetas: {message}"
+        },
+        "manageExcludedModels": {
+            "label": "Gestionar modelos excluidos"
         }
     },
     "header": {
@@ -250,6 +253,19 @@
         "civitaiApiKey": "Clave API de Civitai",
         "civitaiApiKeyPlaceholder": "Introduce tu clave API de Civitai",
         "civitaiApiKeyHelp": "Utilizada para autenticación al descargar modelos de Civitai",
+        "civitaiHost": {
+            "label": "Host de Civitai",
+            "help": "Elige qué sitio de Civitai se abre al usar los enlaces de \"View on Civitai\".",
+            "options": {
+                "com": "civitai.com (solo SFW)",
+                "red": "civitai.red (sin restricciones)"
+            }
+        },
+        "civitaiHostBanner": {
+            "title": "Preferencia de host de Civitai disponible",
+            "content": "Civitai ahora usa civitai.com para contenido SFW y civitai.red para contenido sin restricciones. Puedes cambiar en Ajustes qué sitio se abre por defecto.",
+            "openSettings": "Abrir ajustes"
+        },
         "openSettingsFileLocation": {
             "label": "Abrir carpeta de ajustes",
             "tooltip": "Abrir la carpeta que contiene settings.json",
@@ -667,6 +683,7 @@
             "moveToFolder": "Mover a carpeta",
             "repairMetadata": "Reparar metadatos",
             "excludeModel": "Excluir modelo",
+            "restoreModel": "Restaurar modelo",
             "deleteModel": "Eliminar modelo",
             "shareRecipe": "Compartir receta",
             "viewAllLoras": "Ver todos los LoRAs",
@@ -1790,6 +1807,8 @@
             "deleteFailed": "Error al eliminar {type}: {message}",
             "excludeSuccess": "{type} excluido exitosamente",
             "excludeFailed": "Error al excluir {type}: {message}",
+            "restoreSuccess": "{type} restaurado correctamente",
+            "restoreFailed": "No se pudo restaurar {type}: {message}",
             "fileNameUpdated": "Nombre de archivo actualizado exitosamente",
             "fileRenameFailed": "Error al renombrar archivo: {error}",
             "previewUpdated": "Vista previa actualizada exitosamente",

locales/fr.json

@@ -175,6 +175,9 @@
             "success": "{count} recettes réparées avec succès.",
             "cancelled": "Réparation annulée. {count} recettes ont été réparées.",
             "error": "Échec de la réparation des recettes : {message}"
+        },
+        "manageExcludedModels": {
+            "label": "Gérer les modèles exclus"
         }
     },
     "header": {
@@ -250,6 +253,19 @@
         "civitaiApiKey": "Clé API Civitai",
         "civitaiApiKeyPlaceholder": "Entrez votre clé API Civitai",
         "civitaiApiKeyHelp": "Utilisée pour l'authentification lors du téléchargement de modèles depuis Civitai",
+        "civitaiHost": {
+            "label": "Hôte Civitai",
+            "help": "Choisissez quel site Civitai s'ouvre lorsque vous utilisez les liens « View on Civitai ».",
+            "options": {
+                "com": "civitai.com (SFW uniquement)",
+                "red": "civitai.red (sans restriction)"
+            }
+        },
+        "civitaiHostBanner": {
+            "title": "Préférence d’hôte Civitai disponible",
+            "content": "Civitai utilise désormais civitai.com pour le contenu SFW et civitai.red pour le contenu sans restriction. Vous pouvez modifier dans les paramètres le site ouvert par défaut.",
+            "openSettings": "Ouvrir les paramètres"
+        },
         "openSettingsFileLocation": {
             "label": "Ouvrir le dossier des paramètres",
             "tooltip": "Ouvrir le dossier contenant settings.json",
@@ -667,6 +683,7 @@
             "moveToFolder": "Déplacer vers un dossier",
             "repairMetadata": "Réparer les métadonnées",
             "excludeModel": "Exclure le modèle",
+            "restoreModel": "Restaurer le modèle",
             "deleteModel": "Supprimer le modèle",
             "shareRecipe": "Partager la recipe",
             "viewAllLoras": "Voir tous les LoRAs",
@@ -1790,6 +1807,8 @@
             "deleteFailed": "Échec de la suppression de {type} : {message}",
             "excludeSuccess": "{type} exclu avec succès",
             "excludeFailed": "Échec de l'exclusion de {type} : {message}",
+            "restoreSuccess": "{type} restauré avec succès",
+            "restoreFailed": "Échec de la restauration de {type} : {message}",
             "fileNameUpdated": "Nom de fichier mis à jour avec succès",
             "fileRenameFailed": "Échec du renommage du fichier : {error}",
             "previewUpdated": "Aperçu mis à jour avec succès",

locales/he.json

@@ -175,6 +175,9 @@
             "success": "תוקנו בהצלחה {count} מתכונים.",
             "cancelled": "תיקון בוטל. {count} מתכונים תוקנו.",
             "error": "תיקון המתכונים נכשל: {message}"
+        },
+        "manageExcludedModels": {
+            "label": "ניהול מודלים מוחרגים"
         }
     },
     "header": {
@@ -250,6 +253,19 @@
         "civitaiApiKey": "מפתח API של Civitai",
         "civitaiApiKeyPlaceholder": "הזן את מפתח ה-API שלך מ-Civitai",
         "civitaiApiKeyHelp": "משמש לאימות בעת הורדת מודלים מ-Civitai",
+        "civitaiHost": {
+            "label": "מארח Civitai",
+            "help": "בחר איזה אתר של Civitai ייפתח בעת שימוש בקישורי \"View on Civitai\".",
+            "options": {
+                "com": "civitai.com (SFW בלבד)",
+                "red": "civitai.red (ללא הגבלות)"
+            }
+        },
+        "civitaiHostBanner": {
+            "title": "העדפת מארח Civitai זמינה",
+            "content": "Civitai משתמש כעת ב-civitai.com עבור תוכן SFW וב-civitai.red עבור תוכן ללא הגבלות. ניתן לשנות בהגדרות איזה אתר ייפתח כברירת מחדל.",
+            "openSettings": "פתח הגדרות"
+        },
         "openSettingsFileLocation": {
             "label": "פתח תיקיית הגדרות",
             "tooltip": "פתח את התיקייה שמכילה את ‎settings.json",
@@ -667,6 +683,7 @@
             "moveToFolder": "העבר לתיקייה",
             "repairMetadata": "תיקון מטא-דאטה",
             "excludeModel": "החרג מודל",
+            "restoreModel": "שחזור מודל",
             "deleteModel": "מחק מודל",
             "shareRecipe": "שתף מתכון",
             "viewAllLoras": "הצג את כל ה-LoRAs",
@@ -1790,6 +1807,8 @@
             "deleteFailed": "מחיקת {type} נכשלה: {message}",
             "excludeSuccess": "{type} הוחרג בהצלחה",
             "excludeFailed": "החרגת {type} נכשלה: {message}",
+            "restoreSuccess": "{type} שוחזר בהצלחה",
+            "restoreFailed": "שחזור {type} נכשל: {message}",
             "fileNameUpdated": "שם הקובץ עודכן בהצלחה",
             "fileRenameFailed": "שינוי שם הקובץ נכשל: {error}",
             "previewUpdated": "התצוגה המקדימה עודכנה בהצלחה",

locales/ja.json

@@ -175,6 +175,9 @@
             "success": "{count} 件のレシピを正常に修復しました。",
             "cancelled": "修復がキャンセルされました。{count}個のレシピが修復されました。",
             "error": "レシピの修復に失敗しました: {message}"
+        },
+        "manageExcludedModels": {
+            "label": "除外モデルを管理"
         }
     },
     "header": {
@@ -250,6 +253,19 @@
         "civitaiApiKey": "Civitai APIキー",
         "civitaiApiKeyPlaceholder": "Civitai APIキーを入力してください",
         "civitaiApiKeyHelp": "Civitaiからモデルをダウンロードするときの認証に使用されます",
+        "civitaiHost": {
+            "label": "Civitai ホスト",
+            "help": "「View on Civitai」リンクを使うときに開く Civitai サイトを選択します。",
+            "options": {
+                "com": "civitai.com（SFW のみ）",
+                "red": "civitai.red（制限なし）"
+            }
+        },
+        "civitaiHostBanner": {
+            "title": "Civitai ホスト設定を利用できます",
+            "content": "Civitai は現在、SFW コンテンツには civitai.com、制限なしコンテンツには civitai.red を使用しています。設定で既定で開くサイトを変更できます。",
+            "openSettings": "設定を開く"
+        },
         "openSettingsFileLocation": {
             "label": "設定フォルダーを開く",
             "tooltip": "settings.json を含むフォルダーを開きます",
@@ -667,6 +683,7 @@
             "moveToFolder": "フォルダに移動",
             "repairMetadata": "メタデータを修復",
             "excludeModel": "モデルを除外",
+            "restoreModel": "モデルを復元",
             "deleteModel": "モデルを削除",
             "shareRecipe": "レシピを共有",
             "viewAllLoras": "すべてのLoRAを表示",
@@ -1790,6 +1807,8 @@
             "deleteFailed": "{type}の削除に失敗しました：{message}",
             "excludeSuccess": "{type}が正常に除外されました",
             "excludeFailed": "{type}の除外に失敗しました：{message}",
+            "restoreSuccess": "{type}を復元しました",
+            "restoreFailed": "{type}の復元に失敗しました: {message}",
             "fileNameUpdated": "ファイル名が正常に更新されました",
             "fileRenameFailed": "ファイル名の変更に失敗しました：{error}",
             "previewUpdated": "プレビューが正常に更新されました",

locales/ko.json

@@ -175,6 +175,9 @@
             "success": "{count}개의 레시피가 성공적으로 복구되었습니다.",
             "cancelled": "수리가 취소되었습니다. {count}개의 레시피가 수리되었습니다.",
             "error": "레시피 복구 실패: {message}"
+        },
+        "manageExcludedModels": {
+            "label": "제외된 모델 관리"
         }
     },
     "header": {
@@ -250,6 +253,19 @@
         "civitaiApiKey": "Civitai API 키",
         "civitaiApiKeyPlaceholder": "Civitai API 키를 입력하세요",
         "civitaiApiKeyHelp": "Civitai에서 모델을 다운로드할 때 인증에 사용됩니다",
+        "civitaiHost": {
+            "label": "Civitai 호스트",
+            "help": "\"View on Civitai\" 링크를 사용할 때 어떤 Civitai 사이트를 열지 선택합니다.",
+            "options": {
+                "com": "civitai.com(SFW 전용)",
+                "red": "civitai.red(무제한)"
+            }
+        },
+        "civitaiHostBanner": {
+            "title": "Civitai 호스트 기본 설정 사용 가능",
+            "content": "이제 Civitai는 SFW 콘텐츠에 civitai.com을, 무제한 콘텐츠에 civitai.red를 사용합니다. 설정에서 기본으로 열 사이트를 변경할 수 있습니다.",
+            "openSettings": "설정 열기"
+        },
         "openSettingsFileLocation": {
             "label": "설정 폴더 열기",
             "tooltip": "settings.json이 있는 폴더를 엽니다",
@@ -667,6 +683,7 @@
             "moveToFolder": "폴더로 이동",
             "repairMetadata": "메타데이터 복구",
             "excludeModel": "모델 제외",
+            "restoreModel": "모델 복원",
             "deleteModel": "모델 삭제",
             "shareRecipe": "레시피 공유",
             "viewAllLoras": "모든 LoRA 보기",
@@ -1790,6 +1807,8 @@
             "deleteFailed": "{type} 삭제 실패: {message}",
             "excludeSuccess": "{type}이(가) 성공적으로 제외되었습니다",
             "excludeFailed": "{type} 제외 실패: {message}",
+            "restoreSuccess": "{type} 복원 완료",
+            "restoreFailed": "{type} 복원 실패: {message}",
             "fileNameUpdated": "파일명이 성공적으로 업데이트되었습니다",
             "fileRenameFailed": "파일 이름 변경 실패: {error}",
             "previewUpdated": "미리보기가 성공적으로 업데이트되었습니다",

locales/ru.json

@@ -175,6 +175,9 @@
             "success": "Успешно восстановлено {count} рецептов.",
             "cancelled": "Восстановление отменено. {count} рецептов было восстановлено.",
             "error": "Ошибка восстановления рецептов: {message}"
+        },
+        "manageExcludedModels": {
+            "label": "Управление исключёнными моделями"
         }
     },
     "header": {
@@ -250,6 +253,19 @@
         "civitaiApiKey": "Ключ API Civitai",
         "civitaiApiKeyPlaceholder": "Введите ваш ключ API Civitai",
         "civitaiApiKeyHelp": "Используется для аутентификации при загрузке моделей с Civitai",
+        "civitaiHost": {
+            "label": "Хост Civitai",
+            "help": "Выберите, какой сайт Civitai будет открываться при использовании ссылок «View on Civitai».",
+            "options": {
+                "com": "civitai.com (только SFW)",
+                "red": "civitai.red (без ограничений)"
+            }
+        },
+        "civitaiHostBanner": {
+            "title": "Доступна настройка хоста Civitai",
+            "content": "Теперь Civitai использует civitai.com для контента SFW и civitai.red для контента без ограничений. В настройках можно изменить, какой сайт открывать по умолчанию.",
+            "openSettings": "Открыть настройки"
+        },
         "openSettingsFileLocation": {
             "label": "Открыть папку настроек",
             "tooltip": "Открыть папку, содержащую settings.json",
@@ -667,6 +683,7 @@
             "moveToFolder": "Переместить в папку",
             "repairMetadata": "Восстановить метаданные",
             "excludeModel": "Исключить модель",
+            "restoreModel": "Восстановить модель",
             "deleteModel": "Удалить модель",
             "shareRecipe": "Поделиться рецептом",
             "viewAllLoras": "Посмотреть все LoRAs",
@@ -1790,6 +1807,8 @@
             "deleteFailed": "Не удалось удалить {type}: {message}",
             "excludeSuccess": "{type} успешно исключен",
             "excludeFailed": "Не удалось исключить {type}: {message}",
+            "restoreSuccess": "{type} успешно восстановлен",
+            "restoreFailed": "Не удалось восстановить {type}: {message}",
             "fileNameUpdated": "Имя файла успешно обновлено",
             "fileRenameFailed": "Не удалось переименовать файл: {error}",
             "previewUpdated": "Превью успешно обновлено",

locales/zh-CN.json

@@ -175,6 +175,9 @@
             "success": "成功修复了 {count} 个配方。",
             "cancelled": "修复已取消。已修复 {count} 个配方。",
             "error": "配方修复失败：{message}"
+        },
+        "manageExcludedModels": {
+            "label": "管理已排除的模型"
         }
     },
     "header": {
@@ -250,6 +253,19 @@
         "civitaiApiKey": "Civitai API 密钥",
         "civitaiApiKeyPlaceholder": "请输入你的 Civitai API 密钥",
         "civitaiApiKeyHelp": "用于从 Civitai 下载模型时的身份验证",
+        "civitaiHost": {
+            "label": "Civitai 站点",
+            "help": "选择使用“在 Civitai 中查看”时默认打开的 Civitai 站点。",
+            "options": {
+                "com": "civitai.com（仅 SFW）",
+                "red": "civitai.red（无限制）"
+            }
+        },
+        "civitaiHostBanner": {
+            "title": "已提供 Civitai 站点偏好设置",
+            "content": "Civitai 现在使用 civitai.com 提供 SFW 内容，使用 civitai.red 提供无限制内容。你可以在设置中更改默认打开的站点。",
+            "openSettings": "打开设置"
+        },
         "openSettingsFileLocation": {
             "label": "打开设置文件夹",
             "tooltip": "打开包含 settings.json 的文件夹",
@@ -667,6 +683,7 @@
             "moveToFolder": "移动到文件夹",
             "repairMetadata": "修复元数据",
             "excludeModel": "排除模型",
+            "restoreModel": "恢复模型",
             "deleteModel": "删除模型",
             "shareRecipe": "分享配方",
             "viewAllLoras": "查看所有 LoRA",
@@ -685,9 +702,9 @@
                 "title": "从图片或 URL 导入配方",
                 "urlLocalPath": "URL / 本地路径",
                 "uploadImage": "上传图片",
-                "urlSectionDescription": "输入 Civitai 图片 URL 或本地文件路径以导入为配方。",
+                "urlSectionDescription": "输入来自 civitai.com 或 civitai.red 的 Civitai 图片 URL，或本地文件路径以导入为配方。",
                 "imageUrlOrPath": "图片 URL 或文件路径：",
-                "urlPlaceholder": "https://civitai.com/images/... 或 C:/path/to/image.png",
+                "urlPlaceholder": "https://civitai.com/images/... 或 https://civitai.red/images/... 或 C:/path/to/image.png",
                 "fetchImage": "获取图片",
                 "uploadSectionDescription": "上传带有 LoRA 元数据的图片以导入为配方。",
                 "selectImage": "选择图片",
@@ -1090,9 +1107,9 @@
             },
             "proceedText": "仅在你确定需要此操作时继续。",
             "urlLabel": "Civitai 模型 URL：",
-            "urlPlaceholder": "https://civitai.com/models/649516/model-name?modelVersionId=726676",
+            "urlPlaceholder": "https://civitai.com/models/649516/model-name?modelVersionId=726676 或 https://civitai.red/models/649516/model-name?modelVersionId=726676",
             "helpText": {
-                "title": "粘贴任意 Civitai 模型 URL。支持格式：",
+                "title": "粘贴任意来自 civitai.com 或 civitai.red 的 Civitai 模型 URL。支持格式：",
                 "format1": "https://civitai.com/models/649516",
                 "format2": "https://civitai.com/models/649516?modelVersionId=726676",
                 "format3": "https://civitai.com/models/649516/model-name?modelVersionId=726676",
@@ -1790,6 +1807,8 @@
             "deleteFailed": "删除 {type} 失败：{message}",
             "excludeSuccess": "{type} 排除成功",
             "excludeFailed": "排除 {type} 失败：{message}",
+            "restoreSuccess": "{type} 已成功恢复",
+            "restoreFailed": "恢复 {type} 失败：{message}",
             "fileNameUpdated": "文件名更新成功",
             "fileRenameFailed": "重命名文件失败：{error}",
             "previewUpdated": "预览图片更新成功",

locales/zh-TW.json

@@ -175,6 +175,9 @@
             "success": "成功修復 {count} 個配方。",
             "cancelled": "修復已取消。已修復 {count} 個配方。",
             "error": "配方修復失敗：{message}"
+        },
+        "manageExcludedModels": {
+            "label": "管理已排除的模型"
         }
     },
     "header": {
@@ -250,6 +253,19 @@
         "civitaiApiKey": "Civitai API 金鑰",
         "civitaiApiKeyPlaceholder": "請輸入您的 Civitai API 金鑰",
         "civitaiApiKeyHelp": "用於從 Civitai 下載模型時的身份驗證",
+        "civitaiHost": {
+            "label": "Civitai 站點",
+            "help": "選擇使用「在 Civitai 中查看」時預設開啟的 Civitai 站點。",
+            "options": {
+                "com": "civitai.com（僅 SFW）",
+                "red": "civitai.red（無限制）"
+            }
+        },
+        "civitaiHostBanner": {
+            "title": "已提供 Civitai 站點偏好設定",
+            "content": "Civitai 現在使用 civitai.com 提供 SFW 內容，使用 civitai.red 提供無限制內容。你可以在設定中變更預設開啟的站點。",
+            "openSettings": "開啟設定"
+        },
         "openSettingsFileLocation": {
             "label": "開啟設定資料夾",
             "tooltip": "開啟包含 settings.json 的資料夾",
@@ -667,6 +683,7 @@
             "moveToFolder": "移動到資料夾",
             "repairMetadata": "修復元數據",
             "excludeModel": "排除模型",
+            "restoreModel": "還原模型",
             "deleteModel": "刪除模型",
             "shareRecipe": "分享配方",
             "viewAllLoras": "檢視全部 LoRA",
@@ -1790,6 +1807,8 @@
             "deleteFailed": "刪除 {type} 失敗：{message}",
             "excludeSuccess": "{type} 已成功排除",
             "excludeFailed": "排除 {type} 失敗：{message}",
+            "restoreSuccess": "{type} 已成功還原",
+            "restoreFailed": "還原 {type} 失敗：{message}",
             "fileNameUpdated": "檔案名稱已成功更新",
             "fileRenameFailed": "重新命名檔案失敗：{error}",
             "previewUpdated": "預覽圖片已成功更新",

py/nodes/prompt.py

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

py/nodes/text.py

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

py/recipes/enrichment.py

@@ -1,11 +1,11 @@
 import logging
 import json
-import re
 import os
 from typing import Any, Dict, Optional
 from .merger import GenParamsMerger
 from .base import RecipeMetadataParser
 from ..services.metadata_service import get_default_metadata_provider
+from ..utils.civitai_utils import extract_civitai_image_id
 
 logger = logging.getLogger(__name__)
 
@@ -39,11 +39,12 @@ class RecipeEnricher:
         source_url = recipe.get("source_url") or recipe.get("source_path", "")
         
         # Check if it's a Civitai image URL
-        image_id_match = re.search(r'civitai\.com/images/(\d+)', str(source_url))
-        if image_id_match:
-            image_id = image_id_match.group(1)
+        image_id = extract_civitai_image_id(str(source_url))
+        if image_id:
             try:
-                image_info = await civitai_client.get_image_info(image_id)
+                image_info = await civitai_client.get_image_info(
+                    image_id, source_url=str(source_url)
+                )
                 if image_info:
                     # Handle nested meta often found in Civitai API responses
                     raw_meta = image_info.get("meta")

py/routes/handlers/misc_handlers.py

@@ -13,6 +13,7 @@ import contextlib
 import io
 import json
 import logging
+import time
 import os
 import platform
 import re
@@ -2410,6 +2411,16 @@ class FileSystemHandler:
             logger.error("Failed to open backup location: %s", exc, exc_info=True)
             return web.json_response({"success": False, "error": str(exc)}, status=500)
 
+    async def open_wildcards_location(self, request: web.Request) -> web.Response:
+        try:
+            from ...services.wildcard_service import get_wildcards_dir
+
+            wildcards_dir = get_wildcards_dir(create=True)
+            return await self._open_path(wildcards_dir)
+        except Exception as exc:  # pragma: no cover - defensive logging
+            logger.error("Failed to open wildcards location: %s", exc, exc_info=True)
+            return web.json_response({"success": False, "error": str(exc)}, status=500)
+
 
 class CustomWordsHandler:
     """Handler for autocomplete via TagFTSIndex."""
@@ -2489,6 +2500,41 @@ class CustomWordsHandler:
             return None
 
 
+class WildcardsHandler:
+    """Handler for wildcard autocomplete search."""
+
+    def __init__(self, *, service=None) -> None:
+        if service is None:
+            from ...services.wildcard_service import get_wildcard_service
+
+            service = get_wildcard_service()
+        self._service = service
+
+    async def search_wildcards(self, request: web.Request) -> web.Response:
+        """Search managed wildcard keys for autocomplete."""
+
+        try:
+            search_term = request.query.get("search", "")
+            limit = min(int(request.query.get("limit", "20")), 100)
+            offset = max(0, int(request.query.get("offset", "0")))
+            metadata = self._service.get_metadata(create_dir=True)
+            results = self._service.search_keys(search_term, limit=limit, offset=offset)
+            return web.json_response(
+                {
+                    "success": True,
+                    "words": results,
+                    "meta": {
+                        "has_wildcards": metadata.has_wildcards,
+                        "wildcards_dir": metadata.wildcards_dir,
+                        "supported_formats": list(metadata.supported_formats),
+                    },
+                }
+            )
+        except Exception as exc:
+            logger.error("Error searching wildcards: %s", exc, exc_info=True)
+            return web.json_response({"error": str(exc)}, status=500)
+
+
 class NodeRegistryHandler:
     def __init__(
         self,
@@ -2717,6 +2763,7 @@ class MiscHandlerSet:
         backup: BackupHandler,
         filesystem: FileSystemHandler,
         custom_words: CustomWordsHandler,
+        wildcards: WildcardsHandler,
         supporters: SupportersHandler,
         doctor: DoctorHandler,
         example_workflows: ExampleWorkflowsHandler,
@@ -2734,6 +2781,7 @@ class MiscHandlerSet:
         self.backup = backup
         self.filesystem = filesystem
         self.custom_words = custom_words
+        self.wildcards = wildcards
         self.supporters = supporters
         self.doctor = doctor
         self.example_workflows = example_workflows
@@ -2774,7 +2822,9 @@ class MiscHandlerSet:
             "open_file_location": self.filesystem.open_file_location,
             "open_settings_location": self.filesystem.open_settings_location,
             "open_backup_location": self.filesystem.open_backup_location,
+            "open_wildcards_location": self.filesystem.open_wildcards_location,
             "search_custom_words": self.custom_words.search_custom_words,
+            "search_wildcards": self.wildcards.search_wildcards,
             "get_supporters": self.supporters.get_supporters,
             "get_example_workflows": self.example_workflows.get_example_workflows,
             "get_example_workflow": self.example_workflows.get_example_workflow,

py/routes/handlers/model_handlers.py

@@ -224,6 +224,42 @@ class ModelListingHandler:
             )
             return web.json_response({"error": str(exc)}, status=500)
 
+    async def get_excluded_models(self, request: web.Request) -> web.Response:
+        start_time = time.perf_counter()
+        try:
+            params = self._parse_common_params(request)
+            result = await self._service.get_excluded_paginated_data(**params)
+
+            format_start = time.perf_counter()
+            formatted_result = {
+                "items": [
+                    await self._service.format_response(item)
+                    for item in result["items"]
+                ],
+                "total": result["total"],
+                "page": result["page"],
+                "page_size": result["page_size"],
+                "total_pages": result["total_pages"],
+            }
+            format_duration = time.perf_counter() - format_start
+
+            duration = time.perf_counter() - start_time
+            self._logger.debug(
+                "Request for %s/excluded took %.3fs (formatting: %.3fs)",
+                self._service.model_type,
+                duration,
+                format_duration,
+            )
+            return web.json_response(formatted_result)
+        except Exception as exc:
+            self._logger.error(
+                "Error retrieving excluded %ss: %s",
+                self._service.model_type,
+                exc,
+                exc_info=True,
+            )
+            return web.json_response({"error": str(exc)}, status=500)
+
     def _parse_common_params(self, request: web.Request) -> Dict:
         page = int(request.query.get("page", "1"))
         page_size = min(int(request.query.get("page_size", "20")), 100)
@@ -392,6 +428,21 @@ class ModelManagementHandler:
             self._logger.error("Error excluding model: %s", exc, exc_info=True)
             return web.Response(text=str(exc), status=500)
 
+    async def unexclude_model(self, request: web.Request) -> web.Response:
+        try:
+            data = await request.json()
+            file_path = data.get("file_path")
+            if not file_path:
+                return web.Response(text="Model path is required", status=400)
+
+            result = await self._lifecycle_service.unexclude_model(file_path)
+            return web.json_response(result)
+        except ValueError as exc:
+            return web.json_response({"success": False, "error": str(exc)}, status=400)
+        except Exception as exc:
+            self._logger.error("Error restoring model: %s", exc, exc_info=True)
+            return web.Response(text=str(exc), status=500)
+
     async def fetch_civitai(self, request: web.Request) -> web.Response:
         try:
             data = await request.json()
@@ -2437,8 +2488,10 @@ class ModelHandlerSet:
         return {
             "handle_models_page": self.page_view.handle,
             "get_models": self.listing.get_models,
+            "get_excluded_models": self.listing.get_excluded_models,
             "delete_model": self.management.delete_model,
             "exclude_model": self.management.exclude_model,
+            "unexclude_model": self.management.unexclude_model,
             "fetch_civitai": self.management.fetch_civitai,
             "fetch_all_civitai": self.civitai.fetch_all_civitai,
             "relink_civitai": self.management.relink_civitai,

py/routes/handlers/recipe_handlers.py

@@ -26,7 +26,7 @@ from ...services.recipes import (
     RecipeValidationError,
 )
 from ...services.metadata_service import get_default_metadata_provider
-from ...utils.civitai_utils import rewrite_preview_url
+from ...utils.civitai_utils import extract_civitai_image_id, rewrite_preview_url
 from ...utils.exif_utils import ExifUtils
 from ...recipes.merger import GenParamsMerger
 from ...recipes.enrichment import RecipeEnricher
@@ -1196,13 +1196,15 @@ class RecipeManagementHandler:
                 temp_path = temp_file.name
             download_url = image_url
             image_info = None
-            civitai_match = re.match(r"https://civitai\.com/images/(\d+)", image_url)
-            if civitai_match:
+            civitai_image_id = extract_civitai_image_id(image_url)
+            if civitai_image_id:
                 if civitai_client is None:
                     raise RecipeDownloadError(
                         "Civitai client unavailable for image download"
                     )
-                image_info = await civitai_client.get_image_info(civitai_match.group(1))
+                image_info = await civitai_client.get_image_info(
+                    civitai_image_id, source_url=image_url
+                )
                 if not image_info:
                     raise RecipeDownloadError(
                         "Failed to fetch image information from Civitai"
@@ -1236,7 +1238,7 @@ class RecipeManagementHandler:
                 return (
                     file_obj.read(),
                     extension,
-                    image_info.get("meta") if civitai_match and image_info else None,
+                    image_info.get("meta") if civitai_image_id and image_info else None,
                 )
         except RecipeDownloadError:
             raise

py/routes/misc_route_registrar.py

@@ -30,6 +30,8 @@ MISC_ROUTE_DEFINITIONS: tuple[RouteDefinition, ...] = (
     RouteDefinition("POST", "/api/lm/settings/libraries/activate", "activate_library"),
     RouteDefinition("GET", "/api/lm/health-check", "health_check"),
     RouteDefinition("GET", "/api/lm/supporters", "get_supporters"),
+    RouteDefinition("GET", "/api/lm/wildcards/search", "search_wildcards"),
+    RouteDefinition("POST", "/api/lm/wildcards/open-location", "open_wildcards_location"),
     RouteDefinition("POST", "/api/lm/open-file-location", "open_file_location"),
     RouteDefinition("POST", "/api/lm/update-usage-stats", "update_usage_stats"),
     RouteDefinition("GET", "/api/lm/get-usage-stats", "get_usage_stats"),

py/routes/misc_routes.py

@@ -35,6 +35,7 @@ from .handlers.misc_handlers import (
     SupportersHandler,
     TrainedWordsHandler,
     UsageStatsHandler,
+    WildcardsHandler,
     build_service_registry_adapter,
 )
 from .handlers.base_model_handlers import BaseModelHandlerSet
@@ -130,6 +131,7 @@ class MiscRoutes:
             metadata_provider_factory=self._metadata_provider_factory,
         )
         custom_words = CustomWordsHandler()
+        wildcards = WildcardsHandler()
         supporters = SupportersHandler()
         doctor = DoctorHandler(settings_service=self._settings)
         example_workflows = ExampleWorkflowsHandler()
@@ -148,6 +150,7 @@ class MiscRoutes:
             backup=backup,
             filesystem=filesystem,
             custom_words=custom_words,
+            wildcards=wildcards,
             supporters=supporters,
             doctor=doctor,
             example_workflows=example_workflows,

py/routes/model_route_registrar.py

@@ -22,8 +22,10 @@ class RouteDefinition:
 
 COMMON_ROUTE_DEFINITIONS: tuple[RouteDefinition, ...] = (
     RouteDefinition("GET", "/api/lm/{prefix}/list", "get_models"),
+    RouteDefinition("GET", "/api/lm/{prefix}/excluded", "get_excluded_models"),
     RouteDefinition("POST", "/api/lm/{prefix}/delete", "delete_model"),
     RouteDefinition("POST", "/api/lm/{prefix}/exclude", "exclude_model"),
+    RouteDefinition("POST", "/api/lm/{prefix}/unexclude", "unexclude_model"),
     RouteDefinition("POST", "/api/lm/{prefix}/fetch-civitai", "fetch_civitai"),
     RouteDefinition("POST", "/api/lm/{prefix}/fetch-all-civitai", "fetch_all_civitai"),
     RouteDefinition("POST", "/api/lm/{prefix}/relink-civitai", "relink_civitai"),

py/services/base_model_service.py

@@ -20,6 +20,7 @@ from .model_query import (
     resolve_sub_type,
 )
 from .settings_manager import get_settings_manager
+from ..utils.civitai_utils import build_civitai_model_page_url
 
 logger = logging.getLogger(__name__)
 
@@ -178,6 +179,57 @@ class BaseModelService(ABC):
         )
         return paginated
 
+    async def get_excluded_paginated_data(
+        self,
+        page: int,
+        page_size: int,
+        sort_by: str = "name",
+        search: str = None,
+        fuzzy_search: bool = False,
+        search_options: dict = None,
+        **kwargs,
+    ) -> Dict:
+        """Get paginated excluded model data."""
+        excluded_paths = list(self.scanner.get_excluded_models())
+        excluded_entries: List[Dict[str, Any]] = []
+        stale_paths: List[str] = []
+
+        for file_path in excluded_paths:
+            if not file_path or not os.path.exists(file_path):
+                stale_paths.append(file_path)
+                continue
+
+            entry = await self._build_excluded_entry(file_path)
+            if entry:
+                excluded_entries.append(entry)
+            else:
+                stale_paths.append(file_path)
+
+        if stale_paths:
+            current_excluded = getattr(self.scanner, "_excluded_models", None)
+            if isinstance(current_excluded, list):
+                stale_set = set(stale_paths)
+                self.scanner._excluded_models = [
+                    path for path in current_excluded if path not in stale_set
+                ]
+                persist_current_cache = getattr(self.scanner, "_persist_current_cache", None)
+                if callable(persist_current_cache):
+                    await persist_current_cache()
+
+        excluded_entries = self._sort_entries(excluded_entries, sort_by)
+
+        if search:
+            excluded_entries = await self._apply_search_filters(
+                excluded_entries,
+                search,
+                fuzzy_search,
+                search_options,
+            )
+
+        paginated = self._paginate(excluded_entries, page, page_size)
+        paginated["items"] = await self._annotate_update_flags(paginated["items"])
+        return paginated
+
     async def _fetch_with_usage_sort(self, sort_params):
         """Fetch data sorted by usage count (desc/asc)."""
         cache = await self.cache_repository.get_cache()
@@ -217,6 +269,62 @@ class BaseModelService(ABC):
         )
         return annotated
 
+    def _sort_entries(self, data: List[Dict[str, Any]], sort_by: str) -> List[Dict[str, Any]]:
+        sort_params = self.cache_repository.parse_sort(sort_by)
+        key_name = sort_params.key
+
+        if key_name == "date":
+            key_fn = lambda item: (
+                float(item.get("modified", 0.0) or 0.0),
+                (item.get("model_name") or item.get("file_name") or "").lower(),
+                item.get("file_path", "").lower(),
+            )
+        elif key_name == "size":
+            key_fn = lambda item: (
+                int(item.get("size", 0) or 0),
+                (item.get("model_name") or item.get("file_name") or "").lower(),
+                item.get("file_path", "").lower(),
+            )
+        elif key_name == "usage":
+            key_fn = lambda item: (
+                int(item.get("usage_count", 0) or 0),
+                (item.get("model_name") or item.get("file_name") or "").lower(),
+                item.get("file_path", "").lower(),
+            )
+        else:
+            key_fn = lambda item: (
+                (item.get("model_name") or item.get("file_name") or "").lower(),
+                item.get("file_path", "").lower(),
+            )
+
+        return sorted(data, key=key_fn, reverse=sort_params.order == "desc")
+
+    async def _build_excluded_entry(self, file_path: str) -> Optional[Dict[str, Any]]:
+        root_path = self.scanner._find_root_for_file(file_path)
+        if not root_path:
+            return None
+
+        metadata, should_skip = await MetadataManager.load_metadata(
+            file_path,
+            self.metadata_class,
+        )
+        if should_skip:
+            return None
+
+        if metadata is None:
+            metadata = await self.scanner._create_default_metadata(file_path)
+            if metadata is None:
+                return None
+
+        metadata = self.scanner.adjust_metadata(metadata, file_path, root_path)
+        folder = os.path.dirname(os.path.relpath(file_path, root_path)).replace(
+            os.path.sep, "/"
+        )
+        entry = self.scanner._build_cache_entry(metadata, folder=folder)
+        entry = self.scanner.adjust_cached_entry(entry)
+        entry["exclude"] = True
+        return entry
+
     async def _apply_hash_filters(
         self, data: List[Dict], hash_filters: Dict
     ) -> List[Dict]:
@@ -774,9 +882,12 @@ class BaseModelService(ABC):
                 version_id = civitai_data.get("id")
 
                 if model_id:
-                    civitai_url = f"https://civitai.com/models/{model_id}"
-                    if version_id:
-                        civitai_url += f"?modelVersionId={version_id}"
+                    civitai_host = self.settings.get("civitai_host", "civitai.com")
+                    civitai_url = build_civitai_model_page_url(
+                        model_id,
+                        version_id,
+                        host=civitai_host,
+                    )
 
                     return {
                         "civitai_url": civitai_url,

py/services/checkpoint_service.py

@@ -42,6 +42,7 @@ class CheckpointService(BaseModelService):
             "notes": checkpoint_data.get("notes", ""),
             "sub_type": sub_type,
             "favorite": checkpoint_data.get("favorite", False),
+            "exclude": bool(checkpoint_data.get("exclude", False)),
             "update_available": bool(checkpoint_data.get("update_available", False)),
             "skip_metadata_refresh": bool(checkpoint_data.get("skip_metadata_refresh", False)),
             "civitai": self.filter_civitai_data(checkpoint_data.get("civitai", {}), minimal=True)

py/services/civitai_base_model_service.py

@@ -30,7 +30,7 @@ class CivitaiBaseModelService:
     DEFAULT_CACHE_TTL = 7 * 24 * 60 * 60
 
     # Civitai API endpoint for enums
-    CIVITAI_ENUMS_URL = "https://civitai.com/api/v1/enums"
+    CIVITAI_ENUMS_URL = "https://civitai.red/api/v1/enums"
 
     @classmethod
     async def get_instance(cls) -> CivitaiBaseModelService:

py/services/civitai_client.py

@@ -39,7 +39,10 @@ class CivitaiClient:
             return
         self._initialized = True
 
-        self.base_url = "https://civitai.com/api/v1"
+        self.base_url = "https://civitai.red/api/v1"
+
+    def _build_image_info_url(self, image_id: str) -> str:
+        return f"{self.base_url}/images?imageId={image_id}&nsfw=X"
 
     async def _make_request(
         self,
@@ -190,7 +193,9 @@ class CivitaiClient:
         """Get all versions of a model with local availability info"""
         try:
             success, result = await self._make_request(
-                "GET", f"{self.base_url}/models/{model_id}", use_auth=True
+                "GET",
+                f"{self.base_url}/models/{model_id}",
+                use_auth=True,
             )
             if success:
                 # Also return model type along with versions
@@ -346,7 +351,9 @@ class CivitaiClient:
 
     async def _fetch_model_data(self, model_id: int) -> Optional[Dict]:
         success, data = await self._make_request(
-            "GET", f"{self.base_url}/models/{model_id}", use_auth=True
+            "GET",
+            f"{self.base_url}/models/{model_id}",
+            use_auth=True,
         )
         if success:
             return data
@@ -358,7 +365,9 @@ class CivitaiClient:
             return None
 
         success, version = await self._make_request(
-            "GET", f"{self.base_url}/model-versions/{version_id}", use_auth=True
+            "GET",
+            f"{self.base_url}/model-versions/{version_id}",
+            use_auth=True,
         )
         if success:
             return version
@@ -371,7 +380,9 @@ class CivitaiClient:
             return None
 
         success, version = await self._make_request(
-            "GET", f"{self.base_url}/model-versions/by-hash/{model_hash}", use_auth=True
+            "GET",
+            f"{self.base_url}/model-versions/by-hash/{model_hash}",
+            use_auth=True,
         )
         if success:
             return version
@@ -453,13 +464,11 @@ class CivitaiClient:
         try:
             url = f"{self.base_url}/model-versions/{version_id}"
 
-            logger.debug(f"Resolving DNS for model version info: {url}")
+            logger.debug("Resolving Civitai model version info: %s", url)
             success, result = await self._make_request("GET", url, use_auth=True)
 
             if success:
-                logger.debug(
-                    f"Successfully fetched model version info for: {version_id}"
-                )
+                logger.debug("Successfully fetched model version info for: %s", version_id)
                 self._remove_comfy_metadata(result)
                 return result, None
 
@@ -479,48 +488,58 @@ class CivitaiClient:
             logger.error(error_msg)
             return None, error_msg
 
-    async def get_image_info(self, image_id: str) -> Optional[Dict]:
+    async def get_image_info(
+        self, image_id: str, source_url: str | None = None
+    ) -> Optional[Dict]:
         """Fetch image information from Civitai API
 
         Args:
             image_id: The Civitai image ID
+            source_url: Original image page URL. Accepted for caller compatibility;
+                API requests always target ``civitai.red``.
 
         Returns:
             Optional[Dict]: The image data or None if not found
         """
         try:
-            url = f"{self.base_url}/images?imageId={image_id}&nsfw=X"
             requested_id = int(image_id)
-
-            logger.debug(f"Fetching image info for ID: {image_id}")
+            url = self._build_image_info_url(image_id)
             success, result = await self._make_request("GET", url, use_auth=True)
 
-            if success:
-                if result and "items" in result and isinstance(result["items"], list):
-                    items = result["items"]
-
-                    # First, try to find the item with matching ID
-                    for item in items:
-                        if isinstance(item, dict) and item.get("id") == requested_id:
-                            logger.debug(f"Successfully fetched image info for ID: {image_id}")
-                            return item
-
-                    # No matching ID found - log warning with details about returned items
-                    returned_ids = [
-                        item.get("id") for item in items
-                        if isinstance(item, dict) and "id" in item
-                    ]
-                    logger.warning(
-                        f"CivitAI API returned no matching image for requested ID {image_id}. "
-                        f"Returned {len(items)} item(s) with IDs: {returned_ids}. "
-                        f"This may indicate the image was deleted, hidden, or there is a database lag."
-                    )
-                    return None
-
-                logger.warning(f"No image found with ID: {image_id}")
+            if not success:
+                logger.error(
+                    "Failed to fetch image info for ID %s from civitai.red: %s",
+                    image_id,
+                    result,
+                )
                 return None
 
-            logger.error(f"Failed to fetch image info for ID: {image_id}: {result}")
+            if result and "items" in result and isinstance(result["items"], list):
+                items = result["items"]
+
+                for item in items:
+                    if isinstance(item, dict) and item.get("id") == requested_id:
+                        logger.debug(
+                            "Successfully fetched image info for ID %s from civitai.red",
+                            image_id,
+                        )
+                        return item
+
+                returned_ids = [
+                    item.get("id")
+                    for item in items
+                    if isinstance(item, dict) and "id" in item
+                ]
+
+                logger.warning(
+                    "CivitAI API returned no matching image for requested ID %s from civitai.red. Returned %d item(s) with IDs: %s. This may indicate the image was deleted, hidden, or there is a database lag.",
+                    image_id,
+                    len(items),
+                    returned_ids,
+                )
+                return None
+
+            logger.warning("No image found with ID: %s", image_id)
             return None
         except RateLimitError:
             raise
@@ -539,8 +558,12 @@ class CivitaiClient:
             return None
 
         try:
-            url = f"{self.base_url}/models?username={username}"
-            success, result = await self._make_request("GET", url, use_auth=True)
+            success, result = await self._make_request(
+                "GET",
+                f"{self.base_url}/models",
+                use_auth=True,
+                params={"username": username},
+            )
 
             if not success:
                 logger.error("Failed to fetch models for %s: %s", username, result)

py/services/custom_words_service.py

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

py/services/download_manager.py

@@ -16,7 +16,7 @@ from ..utils.constants import (
     SUPPORTED_DOWNLOAD_SKIP_BASE_MODELS,
     VALID_LORA_TYPES,
 )
-from ..utils.civitai_utils import rewrite_preview_url
+from ..utils.civitai_utils import normalize_civitai_download_url, rewrite_preview_url
 from ..utils.preview_selection import resolve_mature_threshold, select_preview_media
 from ..utils.utils import sanitize_folder_name
 from ..utils.exif_utils import ExifUtils
@@ -31,6 +31,11 @@ import tempfile
 
 logger = logging.getLogger(__name__)
 
+CIVITAI_DOWNLOAD_URL_PREFIXES = (
+    "https://civitai.com/api/download/",
+    "https://civitai.red/api/download/",
+)
+
 
 class DownloadManager:
     _instance = None
@@ -639,7 +644,9 @@ class DownloadManager:
             if mirrors:
                 for mirror in mirrors:
                     if mirror.get("deletedAt") is None and mirror.get("url"):
-                        download_urls.append(mirror["url"])
+                        download_urls.append(
+                            normalize_civitai_download_url(mirror["url"])
+                        )
 
                 # When source is 'civarchive', prioritize non-Civitai URLs
                 # This avoids failed downloads from deleted Civitai models
@@ -647,18 +654,20 @@ class DownloadManager:
                     civitai_urls = [
                         u
                         for u in download_urls
-                        if u.startswith("https://civitai.com/api/download/")
+                        if u.startswith(CIVITAI_DOWNLOAD_URL_PREFIXES)
                     ]
                     non_civitai_urls = [
                         u
                         for u in download_urls
-                        if not u.startswith("https://civitai.com/api/download/")
+                        if not u.startswith(CIVITAI_DOWNLOAD_URL_PREFIXES)
                     ]
                     download_urls = non_civitai_urls + civitai_urls
             else:
                 download_url = file_info.get("downloadUrl")
                 if download_url:
-                    download_urls.append(download_url)
+                    download_urls.append(
+                        normalize_civitai_download_url(download_url)
+                    )
 
             if not download_urls:
                 return {"success": False, "error": "No mirror URL found"}
@@ -1133,7 +1142,8 @@ class DownloadManager:
                 pause_control.update_stall_timeout(downloader.stall_timeout)
             last_error = None
             for download_url in download_urls:
-                use_auth = download_url.startswith("https://civitai.com/api/download/")
+                download_url = normalize_civitai_download_url(download_url)
+                use_auth = download_url.startswith(CIVITAI_DOWNLOAD_URL_PREFIXES)
                 download_kwargs = {
                     "progress_callback": lambda progress, snapshot=None: (
                         self._handle_download_progress(

py/services/embedding_service.py

@@ -42,6 +42,7 @@ class EmbeddingService(BaseModelService):
             "notes": embedding_data.get("notes", ""),
             "sub_type": sub_type,
             "favorite": embedding_data.get("favorite", False),
+            "exclude": bool(embedding_data.get("exclude", False)),
             "update_available": bool(embedding_data.get("update_available", False)),
             "skip_metadata_refresh": bool(embedding_data.get("skip_metadata_refresh", False)),
             "civitai": self.filter_civitai_data(embedding_data.get("civitai", {}), minimal=True)

py/services/lora_service.py

@@ -48,6 +48,7 @@ class LoraService(BaseModelService):
             "usage_tips": lora_data.get("usage_tips", ""),
             "notes": lora_data.get("notes", ""),
             "favorite": lora_data.get("favorite", False),
+            "exclude": bool(lora_data.get("exclude", False)),
             "update_available": bool(lora_data.get("update_available", False)),
             "skip_metadata_refresh": bool(
                 lora_data.get("skip_metadata_refresh", False)

py/services/model_lifecycle_service.py

@@ -8,6 +8,7 @@ from typing import Any, Awaitable, Callable, Dict, Iterable, List, Mapping, Opti
 
 from ..services.service_registry import ServiceRegistry
 from ..utils.constants import PREVIEW_EXTENSIONS
+from ..utils.metadata_manager import MetadataManager
 
 logger = logging.getLogger(__name__)
 
@@ -207,11 +208,56 @@ class ModelLifecycleService:
 
         excluded = getattr(self._scanner, "_excluded_models", None)
         if isinstance(excluded, list):
-            excluded.append(file_path)
+            if file_path not in excluded:
+                excluded.append(file_path)
+
+        persist_current_cache = getattr(self._scanner, "_persist_current_cache", None)
+        if callable(persist_current_cache):
+            await persist_current_cache()
 
         message = f"Model {os.path.basename(file_path)} excluded"
         return {"success": True, "message": message}
 
+    async def unexclude_model(self, file_path: str) -> Dict[str, object]:
+        """Restore a previously excluded model to the active cache."""
+
+        if not file_path:
+            raise ValueError("Model path is required")
+
+        if not os.path.exists(file_path):
+            raise ValueError("Model file does not exist")
+
+        metadata_path = os.path.splitext(file_path)[0] + ".metadata.json"
+        metadata_payload = await self._metadata_loader(metadata_path)
+        metadata_payload["exclude"] = False
+
+        await self._metadata_manager.save_metadata(file_path, metadata_payload)
+
+        metadata, should_skip = await MetadataManager.load_metadata(
+            file_path,
+            self._scanner.model_class,
+        )
+        if should_skip:
+            metadata = None
+        if metadata is None:
+            metadata = metadata_payload
+
+        excluded = getattr(self._scanner, "_excluded_models", None)
+        if isinstance(excluded, list):
+            self._scanner._excluded_models = [
+                path for path in excluded if path != file_path
+            ]
+
+        await self._scanner.update_single_model_cache(
+            file_path,
+            file_path,
+            metadata,
+            recalculate_type=True,
+        )
+
+        message = f"Model {os.path.basename(file_path)} restored"
+        return {"success": True, "message": message}
+
     async def bulk_delete_models(self, file_paths: Iterable[str]) -> Dict[str, object]:
         """Delete a collection of models via the scanner bulk operation."""
 

py/services/recipes/analysis_service.py

@@ -5,7 +5,6 @@ from __future__ import annotations
 import base64
 import io
 import os
-import re
 import tempfile
 from dataclasses import dataclass
 from typing import Any, Callable, Optional
@@ -14,7 +13,7 @@ import numpy as np
 from PIL import Image
 
 from ...utils.utils import calculate_recipe_fingerprint
-from ...utils.civitai_utils import rewrite_preview_url
+from ...utils.civitai_utils import extract_civitai_image_id, rewrite_preview_url
 from .errors import (
     RecipeDownloadError,
     RecipeNotFoundError,
@@ -104,9 +103,11 @@ class RecipeAnalysisService:
         extension = ".jpg"  # Default
 
         try:
-            civitai_match = re.match(r"https://civitai\.com/images/(\d+)", url)
-            if civitai_match:
-                image_info = await civitai_client.get_image_info(civitai_match.group(1))
+            civitai_image_id = extract_civitai_image_id(url)
+            if civitai_image_id:
+                image_info = await civitai_client.get_image_info(
+                    civitai_image_id, source_url=url
+                )
                 if not image_info:
                     raise RecipeDownloadError(
                         "Failed to fetch image information from Civitai"

py/services/settings_manager.py

@@ -54,6 +54,7 @@ DEFAULT_KEYS_CLEANUP_THRESHOLD = 10
 
 DEFAULT_SETTINGS: Dict[str, Any] = {
     "civitai_api_key": "",
+    "civitai_host": "civitai.com",
     "use_portable_settings": False,
     "hash_chunk_size_mb": DEFAULT_HASH_CHUNK_SIZE_MB,
     "language": "en",

py/services/tag_fts_index.py

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

py/services/wildcard_service.py

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

py/utils/civitai_utils.py

@@ -2,10 +2,13 @@
 
 from __future__ import annotations
 
+import re
 from typing import Any, Dict, Iterable, Mapping, Sequence
-from urllib.parse import urlparse, urlunparse
+from urllib.parse import parse_qs, urlparse, urlunparse
 
 
+_SUPPORTED_CIVITAI_PAGE_HOSTS = frozenset({"civitai.com", "civitai.red"})
+DEFAULT_CIVITAI_PAGE_HOST = "civitai.com"
 _DEFAULT_ALLOW_COMMERCIAL_USE: Sequence[str] = ("Sell",)
 _LICENSE_DEFAULTS: Dict[str, Any] = {
     "allowNoCredit": True,
@@ -17,6 +20,133 @@ _COMMERCIAL_ALLOWED_VALUES = {"sell", "rent", "rentcivit", "image"}
 _COMMERCIAL_SHIFT = 1
 
 
+def is_supported_civitai_page_host(hostname: str | None) -> bool:
+    """Return whether the hostname is a supported Civitai page domain."""
+
+    if not hostname:
+        return False
+    return hostname.lower() in _SUPPORTED_CIVITAI_PAGE_HOSTS
+
+
+def normalize_civitai_page_host(hostname: str | None) -> str:
+    """Return a supported Civitai page host or the default host."""
+
+    if not isinstance(hostname, str):
+        return DEFAULT_CIVITAI_PAGE_HOST
+
+    normalized = hostname.strip().lower()
+    if is_supported_civitai_page_host(normalized):
+        return normalized
+
+    return DEFAULT_CIVITAI_PAGE_HOST
+
+
+def build_civitai_model_page_url(
+    model_id: str | int | None,
+    version_id: str | int | None = None,
+    *,
+    host: str | None = None,
+) -> str | None:
+    """Build a Civitai model or model-version page URL."""
+
+    normalized_host = normalize_civitai_page_host(host)
+    normalized_model_id = str(model_id).strip() if model_id is not None else ""
+    normalized_version_id = str(version_id).strip() if version_id is not None else ""
+
+    if normalized_model_id:
+        path = f"/models/{normalized_model_id}"
+        query = f"modelVersionId={normalized_version_id}" if normalized_version_id else ""
+        return urlunparse(("https", normalized_host, path, "", query, ""))
+
+    if normalized_version_id:
+        return urlunparse(
+            ("https", normalized_host, f"/model-versions/{normalized_version_id}", "", "", "")
+        )
+
+    return None
+
+
+def _parse_supported_civitai_page_url(url: str | None):
+    if not url:
+        return None
+
+    try:
+        parsed = urlparse(url)
+    except ValueError:
+        return None
+
+    if parsed.scheme not in {"http", "https"}:
+        return None
+
+    if not is_supported_civitai_page_host(parsed.hostname):
+        return None
+
+    return parsed
+
+
+def extract_civitai_model_url_parts(
+    url: str | None,
+) -> tuple[str | None, str | None]:
+    """Extract model and version identifiers from a supported Civitai model URL."""
+
+    parsed = _parse_supported_civitai_page_url(url)
+    if parsed is None:
+        return None, None
+
+    path_match = re.search(r"/models/(\d+)", parsed.path)
+    if not path_match:
+        return None, None
+
+    model_id = path_match.group(1)
+
+    query_params = parse_qs(parsed.query)
+    version_values = query_params.get("modelVersionId") or []
+    version_id = version_values[0] if version_values else None
+    return model_id, version_id
+
+
+def extract_civitai_image_id(url: str | None) -> str | None:
+    """Extract the image identifier from a supported Civitai image page URL."""
+
+    parsed = _parse_supported_civitai_page_url(url)
+    if parsed is None:
+        return None
+
+    path_match = re.search(r"/images/(\d+)", parsed.path)
+    if not path_match:
+        return None
+
+    return path_match.group(1)
+
+
+def normalize_civitai_download_url(url: str | None) -> str | None:
+    """Rewrite Civitai download URLs to the canonical authenticated host."""
+
+    if not url:
+        return url
+
+    try:
+        parsed = urlparse(url)
+    except ValueError:
+        return url
+
+    hostname = parsed.hostname.lower() if parsed.hostname else None
+    if hostname != "civitai.red" or not parsed.path.startswith("/api/download/"):
+        return url
+
+    return urlunparse(parsed._replace(netloc="civitai.com"))
+
+
+def extract_civitai_page_host(url: str | None) -> str | None:
+    """Extract the supported Civitai page host from a URL."""
+
+    parsed = _parse_supported_civitai_page_url(url)
+    if parsed is None:
+        return None
+
+    return parsed.hostname.lower() if parsed.hostname else None
+
+
 def _normalize_commercial_values(value: Any) -> Sequence[str]:
     """Return a normalized list of commercial permissions preserving source values."""
 
@@ -199,6 +329,10 @@ def rewrite_preview_url(
 
 __all__ = [
     "build_license_flags",
+    "extract_civitai_image_id",
+    "extract_civitai_page_host",
+    "extract_civitai_model_url_parts",
+    "is_supported_civitai_page_host",
     "resolve_license_payload",
     "resolve_license_info",
     "rewrite_preview_url",

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-lora-manager"
 description = "Revolutionize your workflow with the ultimate LoRA companion for ComfyUI!"
-version = "1.0.2"
+version = "1.0.5"
 license = {file = "LICENSE"}
 dependencies = [
     "aiohttp",
@@ -14,7 +14,8 @@ dependencies = [
     "natsort",
     "GitPython",
     "aiosqlite",
-    "platformdirs"
+    "platformdirs",
+    "pyyaml"
 ]
 
 [project.urls]

requirements.txt

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

static/css/components/banner.css

@@ -243,3 +243,58 @@
     -ms-user-select: none;
     user-select: none;
 }
+
+.excluded-view-banner {
+    margin-bottom: var(--space-2);
+    padding: 12px 16px;
+    border: 1px solid var(--border-color);
+    border-radius: var(--border-radius-sm);
+    background: linear-gradient(
+        135deg,
+        oklch(var(--lora-accent-l) var(--lora-accent-c) var(--lora-accent-h) / 0.08),
+        var(--card-bg)
+    );
+}
+
+.excluded-view-banner__content {
+    display: flex;
+    align-items: center;
+    justify-content: space-between;
+    gap: 12px;
+}
+
+.excluded-view-banner__title {
+    display: inline-flex;
+    align-items: center;
+    gap: 10px;
+    font-weight: 600;
+    color: var(--text-color);
+}
+
+.excluded-view-banner__back {
+    display: inline-flex;
+    align-items: center;
+    gap: 8px;
+    border: 1px solid var(--border-color);
+    background: var(--card-bg);
+    color: var(--text-color);
+    border-radius: var(--border-radius-xs);
+    padding: 8px 12px;
+    cursor: pointer;
+}
+
+.excluded-view-banner__back:hover {
+    border-color: var(--lora-accent);
+    color: var(--lora-accent);
+}
+
+@media (max-width: 768px) {
+    .excluded-view-banner__content {
+        flex-direction: column;
+        align-items: stretch;
+    }
+
+    .excluded-view-banner__back {
+        justify-content: center;
+    }
+}

static/css/components/card.css

@@ -680,3 +680,22 @@
     margin-left: 0;
     line-height: 1;
 }
+
+.excluded-model {
+    border-style: dashed;
+}
+
+.model-excluded-badge {
+    width: 16px;
+    height: 16px;
+    padding: 0;
+    border-radius: 3px;
+    background: color-mix(in oklab, var(--warning-color, #d97706) 85%, white 15%);
+    color: white;
+    font-size: 0.65rem;
+    display: inline-flex;
+    align-items: center;
+    justify-content: center;
+    flex-shrink: 0;
+    opacity: 0.9;
+}

static/js/api/apiConfig.js

@@ -56,8 +56,10 @@ export function getApiEndpoints(modelType) {
     return {
         // Base CRUD operations
         list: `/api/lm/${modelType}/list`,
+        excluded: `/api/lm/${modelType}/excluded`,
         delete: `/api/lm/${modelType}/delete`,
         exclude: `/api/lm/${modelType}/exclude`,
+        unexclude: `/api/lm/${modelType}/unexclude`,
         rename: `/api/lm/${modelType}/rename`,
         save: `/api/lm/${modelType}/save-metadata`,
         cancelTask: `/api/lm/${modelType}/cancel-task`,

static/js/api/baseModelApi.js

@@ -51,6 +51,7 @@ export class BaseModelApiClient {
     async fetchModelsPage(page = 1, pageSize = null) {
         const pageState = this.getPageState();
         const actualPageSize = pageSize || pageState.pageSize || this.apiConfig.config.defaultPageSize;
+        const isExcludedView = pageState.viewMode === 'excluded';
 
         try {
             const params = this._buildQueryParams({
@@ -71,7 +72,10 @@ export class BaseModelApiClient {
                 };
             }
 
-            const response = await fetch(`${this.apiConfig.endpoints.list}?${params}`);
+            const endpoint = isExcludedView
+                ? this.apiConfig.endpoints.excluded
+                : this.apiConfig.endpoints.list;
+            const response = await fetch(`${endpoint}?${params}`);
             if (!response.ok) {
                 throw new Error(`Failed to fetch ${this.apiConfig.config.displayName}s: ${response.statusText}`);
             }
@@ -84,7 +88,7 @@ export class BaseModelApiClient {
                 totalPages: data.total_pages,
                 currentPage: page,
                 hasMore: page < data.total_pages,
-                folders: data.folders
+                folders: data.folders || []
             };
 
         } catch (error) {
@@ -212,6 +216,50 @@ export class BaseModelApiClient {
         }
     }
 
+    async unexcludeModel(filePath) {
+        try {
+            state.loadingManager.showSimpleLoading(`Restoring ${this.apiConfig.config.singularName}...`);
+
+            const response = await fetch(this.apiConfig.endpoints.unexclude, {
+                method: 'POST',
+                headers: { 'Content-Type': 'application/json' },
+                body: JSON.stringify({ file_path: filePath })
+            });
+
+            if (!response.ok) {
+                throw new Error(`Failed to restore ${this.apiConfig.config.singularName}: ${response.statusText}`);
+            }
+
+            const data = await response.json();
+
+            if (data.success) {
+                if (state.virtualScroller) {
+                    state.virtualScroller.removeItemByFilePath(filePath);
+                }
+                showToast(
+                    'toast.api.restoreSuccess',
+                    { type: this.apiConfig.config.displayName },
+                    'success',
+                    `Restored ${this.apiConfig.config.displayName}`
+                );
+                return true;
+            }
+
+            throw new Error(data.error || `Failed to restore ${this.apiConfig.config.singularName}`);
+        } catch (error) {
+            console.error(`Error restoring ${this.apiConfig.config.singularName}:`, error);
+            showToast(
+                'toast.api.restoreFailed',
+                { type: this.apiConfig.config.singularName, message: error.message },
+                'error',
+                `Failed to restore ${this.apiConfig.config.singularName}: ${error.message}`
+            );
+            return false;
+        } finally {
+            state.loadingManager.hide();
+        }
+    }
+
     async renameModelFile(filePath, newFileName) {
         try {
             state.loadingManager.showSimpleLoading(`Renaming ${this.apiConfig.config.singularName} file...`);
@@ -883,20 +931,21 @@ export class BaseModelApiClient {
 
     _buildQueryParams(baseParams, pageState) {
         const params = new URLSearchParams(baseParams);
+        const isExcludedView = pageState.viewMode === 'excluded';
 
-        if (pageState.activeFolder !== null) {
+        if (!isExcludedView && pageState.activeFolder !== null) {
             params.append('folder', pageState.activeFolder);
         }
 
-        if (pageState.showFavoritesOnly) {
+        if (!isExcludedView && pageState.showFavoritesOnly) {
             params.append('favorites_only', 'true');
         }
 
-        if (pageState.showUpdateAvailableOnly) {
+        if (!isExcludedView && pageState.showUpdateAvailableOnly) {
             params.append('update_available_only', 'true');
         }
 
-        if (this.apiConfig.config.supportsLetterFilter && pageState.activeLetterFilter) {
+        if (!isExcludedView && this.apiConfig.config.supportsLetterFilter && pageState.activeLetterFilter) {
             params.append('first_letter', pageState.activeLetterFilter);
         }
 
@@ -918,7 +967,7 @@ export class BaseModelApiClient {
 
         params.append('recursive', pageState.searchOptions.recursive ? 'true' : 'false');
 
-        if (pageState.filters) {
+        if (!isExcludedView && pageState.filters) {
             if (pageState.filters.tags && Object.keys(pageState.filters.tags).length > 0) {
                 Object.entries(pageState.filters.tags).forEach(([tag, state]) => {
                     if (state === 'include') {
@@ -981,7 +1030,9 @@ export class BaseModelApiClient {
             }
         }
 
-        this._addModelSpecificParams(params, pageState);
+        if (!isExcludedView) {
+            this._addModelSpecificParams(params, pageState);
+        }
 
         return params;
     }

static/js/components/ContextMenu/CheckpointContextMenu.js

@@ -24,6 +24,7 @@ export class CheckpointContextMenu extends BaseContextMenu {
 
     showMenu(x, y, card) {
         super.showMenu(x, y, card);
+        this.updateExcludeMenuItem();
 
         // Update the "Move to other root" label based on current model type
         const moveOtherItem = this.menu.querySelector('[data-action="move-other"]');
@@ -83,6 +84,9 @@ export class CheckpointContextMenu extends BaseContextMenu {
             case 'exclude':
                 showExcludeModal(this.currentCard.dataset.filepath);
                 break;
+            case 'restore':
+                this.restoreExcludedModel(this.currentCard.dataset.filepath);
+                break;
         }
     }
 

static/js/components/ContextMenu/EmbeddingContextMenu.js

@@ -18,6 +18,11 @@ export class EmbeddingContextMenu extends BaseContextMenu {
     async saveModelMetadata(filePath, data) {
         return getModelApiClient().saveModelMetadata(filePath, data);
     }
+
+    showMenu(x, y, card) {
+        super.showMenu(x, y, card);
+        this.updateExcludeMenuItem();
+    }
     
     handleMenuAction(action) {
         // First try to handle with common actions
@@ -56,6 +61,9 @@ export class EmbeddingContextMenu extends BaseContextMenu {
             case 'exclude':
                 showExcludeModal(this.currentCard.dataset.filepath);
                 break;
+            case 'restore':
+                this.restoreExcludedModel(this.currentCard.dataset.filepath);
+                break;
         }
     }
 }

static/js/components/ContextMenu/GlobalContextMenu.js

@@ -22,6 +22,7 @@ export class GlobalContextMenu extends BaseContextMenu {
         const licenseRefreshItem = this.menu.querySelector('[data-action="fetch-missing-licenses"]');
         const downloadExamplesItem = this.menu.querySelector('[data-action="download-example-images"]');
         const cleanupExamplesItem = this.menu.querySelector('[data-action="cleanup-example-images-folders"]');
+        const excludedModelsItem = this.menu.querySelector('[data-action="manage-excluded-models"]');
         const repairRecipesItem = this.menu.querySelector('[data-action="repair-recipes"]');
 
         if (isRecipesPage) {
@@ -29,12 +30,14 @@ export class GlobalContextMenu extends BaseContextMenu {
             licenseRefreshItem?.classList.add('hidden');
             downloadExamplesItem?.classList.add('hidden');
             cleanupExamplesItem?.classList.add('hidden');
+            excludedModelsItem?.classList.add('hidden');
             repairRecipesItem?.classList.remove('hidden');
         } else {
             modelUpdateItem?.classList.remove('hidden');
             licenseRefreshItem?.classList.remove('hidden');
             downloadExamplesItem?.classList.remove('hidden');
             cleanupExamplesItem?.classList.remove('hidden');
+            excludedModelsItem?.classList.remove('hidden');
             repairRecipesItem?.classList.add('hidden');
         }
 
@@ -68,12 +71,21 @@ export class GlobalContextMenu extends BaseContextMenu {
                     console.error('Failed to repair recipes:', error);
                 });
                 break;
+            case 'manage-excluded-models':
+                this.manageExcludedModels();
+                break;
             default:
                 console.warn(`Unhandled global context menu action: ${action}`);
                 break;
         }
     }
 
+    manageExcludedModels() {
+        window.pageControls?.enterExcludedView?.().catch((error) => {
+            console.error('Failed to open excluded models view:', error);
+        });
+    }
+
     async downloadExampleImages(menuItem) {
         const downloadPath = state?.global?.settings?.example_images_path;
         if (!downloadPath) {

static/js/components/ContextMenu/LoraContextMenu.js

@@ -20,6 +20,11 @@ export class LoraContextMenu extends BaseContextMenu {
         return getModelApiClient().saveModelMetadata(filePath, data);
     }
 
+    showMenu(x, y, card) {
+        super.showMenu(x, y, card);
+        this.updateExcludeMenuItem();
+    }
+
     handleMenuAction(action, menuItem) {
         // First try to handle with common actions
         if (ModelContextMenuMixin.handleCommonMenuActions.call(this, action)) {
@@ -61,6 +66,9 @@ export class LoraContextMenu extends BaseContextMenu {
             case 'exclude':
                 showExcludeModal(this.currentCard.dataset.filepath);
                 break;
+            case 'restore':
+                this.restoreExcludedModel(this.currentCard.dataset.filepath);
+                break;
         }
     }
 

static/js/components/ContextMenu/ModelContextMenuMixin.js

@@ -6,9 +6,43 @@ import { bulkManager } from '../../managers/BulkManager.js';
 import { MODEL_CONFIG } from '../../api/apiConfig.js';
 import { translate } from '../../utils/i18nHelpers.js';
 import { getNsfwLevelSelector } from '../shared/NsfwLevelSelector.js';
+import { extractCivitaiModelUrlParts } from '../../utils/civitaiUtils.js';
 
 // Mixin with shared functionality for LoraContextMenu and CheckpointContextMenu
 export const ModelContextMenuMixin = {
+    isExcludedView() {
+        return state?.pages?.[state.currentPageType]?.viewMode === 'excluded';
+    },
+
+    updateExcludeMenuItem() {
+        const excludeItem = this.menu?.querySelector('[data-action="exclude"], [data-action="restore"]');
+        if (!excludeItem) {
+            return;
+        }
+
+        const isExcludedView = this.isExcludedView();
+        excludeItem.dataset.action = isExcludedView ? 'restore' : 'exclude';
+        excludeItem.innerHTML = isExcludedView
+            ? `<i class="fas fa-undo"></i> <span>${translate('loras.contextMenu.restoreModel', {}, 'Restore model')}</span>`
+            : `<i class="fas fa-eye-slash"></i> <span>${translate('loras.contextMenu.excludeModel', {}, 'Exclude model')}</span>`;
+    },
+
+    async restoreExcludedModel(filePath) {
+        const restored = await getModelApiClient().unexcludeModel(filePath);
+        if (!restored) {
+            return;
+        }
+
+        if (window.pageControls?.exitExcludedView) {
+            await window.pageControls.exitExcludedView();
+        } else {
+            const resetFn = this.resetAndReload || resetAndReload;
+            if (typeof resetFn === 'function') {
+                await resetFn(true);
+            }
+        }
+    },
+
     // NSFW Selector methods
     initNSFWSelector() {
         if (this._nsfwSelectorInitialized) {
@@ -154,25 +188,7 @@ export const ModelContextMenuMixin = {
     },
 
     extractModelVersionId(url) {
-        try {
-            // Handle all three URL formats:
-            // 1. https://civitai.com/models/649516
-            // 2. https://civitai.com/models/649516?modelVersionId=726676
-            // 3. https://civitai.com/models/649516/cynthia-pokemon-diamond-and-pearl-pdxl-lora?modelVersionId=726676
-            
-            const parsedUrl = new URL(url);
-            
-            // Extract model ID from path
-            const pathMatch = parsedUrl.pathname.match(/\/models\/(\d+)/);
-            const modelId = pathMatch ? pathMatch[1] : null;
-            
-            // Extract model version ID from query parameters
-            const modelVersionId = parsedUrl.searchParams.get('modelVersionId');
-            
-            return { modelId, modelVersionId };
-        } catch (e) {
-            return { modelId: null, modelVersionId: null };
-        }
+        return extractCivitaiModelUrlParts(url);
     },
 
     parseModelId(value) {

static/js/components/controls/PageControls.js

@@ -1,7 +1,7 @@
 // PageControls.js - Manages controls for both LoRAs and Checkpoints pages
 import { state, getCurrentPageState, setCurrentPageType } from '../../state/index.js';
 import { getStorageItem, setStorageItem, getSessionItem, setSessionItem } from '../../utils/storageHelpers.js';
-import { showToast } from '../../utils/uiHelpers.js';
+import { showToast, openCivitaiByMetadata } from '../../utils/uiHelpers.js';
 import { performModelUpdateCheck } from '../../utils/updateCheckHelpers.js';
 import { sidebarManager } from '../SidebarManager.js';
 
@@ -38,8 +38,12 @@ export class PageControls {
 
         // Initialize favorites filter button state
         this.initFavoritesFilter();
+
+        this.initExcludedViewControls();
+        this.syncExcludedViewState();
         
         console.log(`PageControls initialized for ${pageType} page`);
+        window.pageControls = this;
     }
     
     /**
@@ -56,6 +60,19 @@ export class PageControls {
         
         // Load sort preference
         this.loadSortPreference();
+
+        if (!this.pageState.viewMode) {
+            this.pageState.viewMode = 'active';
+        }
+        if (!this.pageState.excludedViewState) {
+            this.pageState.excludedViewState = {
+                sortBy: 'name:asc',
+                search: '',
+            };
+        }
+        if (!this.pageState.filters?.search) {
+            this.pageState.filters.search = '';
+        }
     }
     
     /**
@@ -116,6 +133,15 @@ export class PageControls {
         // Page-specific event listeners
         this.initPageSpecificListeners();
     }
+
+    initExcludedViewControls() {
+        const backButton = document.getElementById('excludedViewBackBtn');
+        if (backButton) {
+            backButton.addEventListener('click', async () => {
+                await this.exitExcludedView();
+            });
+        }
+    }
     
     /**
      * Initialize dropdown functionality
@@ -334,6 +360,13 @@ export class PageControls {
      * @param {string} sortValue - The sort value to save
      */
     saveSortPreference(sortValue) {
+        if (this.pageState.viewMode === 'excluded') {
+            this.pageState.excludedViewState = {
+                ...(this.pageState.excludedViewState || {}),
+                sortBy: sortValue,
+            };
+            return;
+        }
         setStorageItem(`${this.pageType}_sort`, sortValue);
     }
     
@@ -353,18 +386,8 @@ export class PageControls {
         const metaData = JSON.parse(card.dataset.meta);
         const civitaiId = metaData.modelId;
         const versionId = metaData.id;
-        
-        // Build URL
-        if (civitaiId) {
-            let url = `https://civitai.com/models/${civitaiId}`;
-            if (versionId) {
-                url += `?modelVersionId=${versionId}`;
-            }
-            window.open(url, '_blank');
-        } else {
-            // If no ID, try searching by name
-            window.open(`https://civitai.com/models?query=${encodeURIComponent(modelName)}`, '_blank');
-        }
+
+        openCivitaiByMetadata(civitaiId, versionId, modelName);
     }
     
     /**
@@ -483,6 +506,8 @@ export class PageControls {
             // Update app state
             this.pageState.showFavoritesOnly = showFavoritesOnly;
         }
+
+        this.updateActionButtonStates();
     }
 
     /**
@@ -499,12 +524,17 @@ export class PageControls {
         if (updateFilterBtn) {
             updateFilterBtn.classList.toggle('active', showUpdatesOnly);
         }
+
+        this.updateActionButtonStates();
     }
 
     /**
      * Toggle favorites-only filter and reload models
      */
     async toggleFavoritesOnly() {
+        if (this.pageState.viewMode === 'excluded') {
+            return;
+        }
         const favoriteFilterBtn = document.getElementById('favoriteFilterBtn');
         
         // Toggle the filter state in storage
@@ -531,6 +561,9 @@ export class PageControls {
      * Toggle update-available-only filter and reload models
      */
     async toggleUpdateAvailableOnly() {
+        if (this.pageState.viewMode === 'excluded') {
+            return;
+        }
         const updateFilterBtn = document.getElementById('updateFilterBtn');
         const storageKey = `show_update_available_only_${this.pageType}`;
         const newState = !this.pageState.showUpdateAvailableOnly;
@@ -545,6 +578,234 @@ export class PageControls {
 
         await this.resetAndReload(true);
     }
+
+    cloneFilters(filters = this.pageState.filters) {
+        return JSON.parse(JSON.stringify(filters || {}));
+    }
+
+    buildExcludedFilters(search = '') {
+        return {
+            baseModel: [],
+            tags: {},
+            license: {},
+            modelTypes: [],
+            search,
+            tagLogic: 'any',
+        };
+    }
+
+    applyFilterState(filters) {
+        this.pageState.filters = filters;
+
+        if (window.filterManager) {
+            window.filterManager.filters = window.filterManager.initializeFilters(filters);
+            window.filterManager.updateActiveFiltersCount();
+            if (typeof window.filterManager.updateSelections === 'function') {
+                window.filterManager.updateSelections();
+            }
+            window.filterManager.closeFilterPanel();
+        }
+    }
+
+    updateActionButtonStates() {
+        const favoriteFilterBtn = document.getElementById('favoriteFilterBtn');
+        if (favoriteFilterBtn) {
+            favoriteFilterBtn.classList.toggle('active', Boolean(this.pageState.showFavoritesOnly));
+        }
+
+        const updateFilterBtn = document.getElementById('updateFilterBtn');
+        if (updateFilterBtn) {
+            updateFilterBtn.classList.toggle('active', Boolean(this.pageState.showUpdateAvailableOnly));
+        }
+    }
+
+    syncExcludedViewState() {
+        const isExcludedView = this.pageState.viewMode === 'excluded';
+        const sortSelect = document.getElementById('sortSelect');
+        const searchInput = document.getElementById('searchInput');
+        const excludedBanner = document.getElementById('excludedViewBanner');
+        const filterButton = document.getElementById('filterButton');
+        const breadcrumbContainer = document.getElementById('breadcrumbContainer');
+        const duplicatesBanner = document.getElementById('duplicatesBanner');
+        const alphabetBarContainer = document.querySelector('.alphabet-bar-container');
+        const hiddenSelectors = [
+            '[data-action="fetch"]',
+            '[data-action="download"]',
+            '[data-action="bulk"]',
+            '[data-action="find-duplicates"]',
+            '#favoriteFilterBtn',
+            '.update-filter-group',
+        ];
+        const customFilterIndicator = document.getElementById('customFilterIndicator');
+
+        document.body.classList.toggle('excluded-view-active', isExcludedView);
+        excludedBanner?.classList.toggle('hidden', !isExcludedView);
+        breadcrumbContainer?.classList.toggle('hidden', isExcludedView);
+        alphabetBarContainer?.classList.toggle('hidden', isExcludedView);
+
+        if (duplicatesBanner && isExcludedView) {
+            duplicatesBanner.style.display = 'none';
+        }
+
+        hiddenSelectors.forEach((selector) => {
+            document.querySelectorAll(selector).forEach((element) => {
+                element.classList.toggle('hidden', isExcludedView);
+            });
+        });
+
+        if (customFilterIndicator && isExcludedView) {
+            customFilterIndicator.classList.add('hidden');
+        }
+
+        if (filterButton) {
+            filterButton.disabled = isExcludedView;
+            filterButton.classList.toggle('hidden', isExcludedView);
+        }
+
+        const activeFiltersCount = document.getElementById('activeFiltersCount');
+        if (activeFiltersCount && isExcludedView) {
+            activeFiltersCount.style.display = 'none';
+        }
+
+        if (sortSelect) {
+            sortSelect.value = this.pageState.sortBy;
+        }
+        if (searchInput) {
+            searchInput.value = this.pageState.filters?.search || '';
+        }
+
+        this.updateActionButtonStates();
+
+        if (this.sidebarManager) {
+            const shouldShowSidebar = !isExcludedView && state?.global?.settings?.show_folder_sidebar !== false;
+            this.sidebarManager.setSidebarEnabled(shouldShowSidebar).catch((error) => {
+                console.error('Failed to update sidebar visibility:', error);
+            });
+        }
+    }
+
+    suspendInteractiveModes() {
+        const snapshot = {
+            bulkMode: Boolean(state.bulkMode),
+            duplicatesMode: Boolean(this.pageState.duplicatesMode),
+        };
+
+        if (snapshot.bulkMode && window.bulkManager?.toggleBulkMode) {
+            window.bulkManager.toggleBulkMode();
+        }
+
+        if (snapshot.duplicatesMode && window.modelDuplicatesManager?.exitDuplicateMode) {
+            window.modelDuplicatesManager.exitDuplicateMode();
+        }
+
+        return snapshot;
+    }
+
+    async restoreInteractiveModes(snapshot = {}) {
+        if (snapshot.bulkMode && !state.bulkMode && window.bulkManager?.toggleBulkMode) {
+            window.bulkManager.toggleBulkMode();
+        }
+
+        if (!snapshot.duplicatesMode || this.pageState.duplicatesMode) {
+            return;
+        }
+
+        const duplicatesManager = window.modelDuplicatesManager;
+        if (!duplicatesManager) {
+            return;
+        }
+
+        if (typeof duplicatesManager.enterDuplicateMode === 'function' &&
+            Array.isArray(duplicatesManager.duplicateGroups) &&
+            duplicatesManager.duplicateGroups.length > 0) {
+            duplicatesManager.enterDuplicateMode();
+            return;
+        }
+
+        if (typeof duplicatesManager.findDuplicates === 'function') {
+            await duplicatesManager.findDuplicates();
+        }
+    }
+
+    syncCustomFilterIndicator() {
+        const indicator = document.getElementById('customFilterIndicator');
+        if (!indicator) {
+            return;
+        }
+
+        if (this.pageState.viewMode === 'excluded') {
+            indicator.classList.add('hidden');
+            return;
+        }
+
+        if (typeof this.checkCustomFilters === 'function') {
+            this.checkCustomFilters();
+        }
+    }
+
+    async enterExcludedView() {
+        if (this.pageState.viewMode === 'excluded') {
+            return;
+        }
+
+        const interactionSnapshot = this.suspendInteractiveModes();
+
+        this.pageState.activeViewSnapshot = {
+            sortBy: this.pageState.sortBy,
+            activeFolder: this.pageState.activeFolder,
+            activeLetterFilter: this.pageState.activeLetterFilter ?? null,
+            showFavoritesOnly: this.pageState.showFavoritesOnly,
+            showUpdateAvailableOnly: this.pageState.showUpdateAvailableOnly,
+            bulkMode: interactionSnapshot.bulkMode,
+            duplicatesMode: interactionSnapshot.duplicatesMode,
+            filters: this.cloneFilters(),
+        };
+
+        const excludedState = this.pageState.excludedViewState || {
+            sortBy: 'name:asc',
+            search: '',
+        };
+
+        this.pageState.viewMode = 'excluded';
+        this.pageState.sortBy = excludedState.sortBy || 'name:asc';
+        this.pageState.currentPage = 1;
+        this.pageState.activeFolder = null;
+        this.pageState.activeLetterFilter = null;
+        this.pageState.showFavoritesOnly = false;
+        this.pageState.showUpdateAvailableOnly = false;
+
+        this.applyFilterState(this.buildExcludedFilters(excludedState.search || ''));
+        this.syncExcludedViewState();
+        await this.resetAndReload(false);
+    }
+
+    async exitExcludedView() {
+        if (this.pageState.viewMode !== 'excluded') {
+            return;
+        }
+
+        this.pageState.excludedViewState = {
+            ...(this.pageState.excludedViewState || {}),
+            sortBy: this.pageState.sortBy,
+            search: this.pageState.filters?.search || '',
+        };
+
+        const snapshot = this.pageState.activeViewSnapshot || {};
+        this.pageState.viewMode = 'active';
+        this.pageState.sortBy = snapshot.sortBy || this.convertLegacySortFormat(getStorageItem(`${this.pageType}_sort`) || 'name:asc');
+        this.pageState.currentPage = 1;
+        this.pageState.activeFolder = snapshot.activeFolder ?? getStorageItem(`${this.pageType}_activeFolder`);
+        this.pageState.activeLetterFilter = snapshot.activeLetterFilter ?? null;
+        this.pageState.showFavoritesOnly = Boolean(snapshot.showFavoritesOnly);
+        this.pageState.showUpdateAvailableOnly = Boolean(snapshot.showUpdateAvailableOnly);
+        this.applyFilterState(snapshot.filters || this.buildExcludedFilters(''));
+        this.pageState.activeViewSnapshot = null;
+
+        this.syncExcludedViewState();
+        await this.resetAndReload(true);
+        this.syncCustomFilterIndicator();
+        await this.restoreInteractiveModes(snapshot);
+    }
     
     /**
      * Find duplicate models

static/js/components/shared/ModelCard.js

@@ -433,10 +433,11 @@ export function createModelCard(model, modelType) {
     card.dataset.usage_count = String(model.usage_count);
     card.dataset.notes = model.notes || '';
     card.dataset.base_model = model.base_model || 'Unknown';
-        card.dataset.favorite = model.favorite ? 'true' : 'false';
-        const hasUpdateAvailable = Boolean(model.update_available);
-        card.dataset.update_available = hasUpdateAvailable ? 'true' : 'false';
-        card.dataset.skip_metadata_refresh = model.skip_metadata_refresh ? 'true' : 'false';
+    card.dataset.favorite = model.favorite ? 'true' : 'false';
+    card.dataset.exclude = model.exclude ? 'true' : 'false';
+    const hasUpdateAvailable = Boolean(model.update_available);
+    card.dataset.update_available = hasUpdateAvailable ? 'true' : 'false';
+    card.dataset.skip_metadata_refresh = model.skip_metadata_refresh ? 'true' : 'false';
 
     // To only show usage_count when sorting by usage. 
     const pageState = getCurrentPageState();
@@ -487,6 +488,9 @@ export function createModelCard(model, modelType) {
     if (model.skip_metadata_refresh) {
         card.classList.add('skip-refresh');
     }
+    if (model.exclude) {
+        card.classList.add('excluded-model');
+    }
 
     // Apply selection state if in bulk mode and this card is in the selected set (LoRA only)
     if (modelType === MODEL_TYPES.LORA && state.bulkMode && state.selectedLoras.has(model.file_path)) {
@@ -619,6 +623,11 @@ export function createModelCard(model, modelType) {
                             <i class="fas fa-ban"></i>
                         </span>
                     ` : ''}
+                    ${model.exclude ? `
+                        <span class="model-excluded-badge" title="${translate('globalContextMenu.manageExcludedModels.label', {}, 'Excluded Models')}">
+                            <i class="fas fa-eye-slash"></i>
+                        </span>
+                    ` : ''}
                 </div>
                 <div class="card-actions">
                     ${actionIcons}

static/js/components/shared/ModelVersionsTab.js

@@ -1,26 +1,21 @@
 import { getModelApiClient } from '../../api/modelApiFactory.js';
 import { downloadManager } from '../../managers/DownloadManager.js';
 import { modalManager } from '../../managers/ModalManager.js';
-import { showToast } from '../../utils/uiHelpers.js';
+import { openCivitaiUrl, showToast } from '../../utils/uiHelpers.js';
 import { translate } from '../../utils/i18nHelpers.js';
 import { state } from '../../state/index.js';
+import { buildCivitaiModelUrl } from '../../utils/civitaiUtils.js';
 import { formatFileSize } from './utils.js';
 
 const VIDEO_EXTENSIONS = ['.mp4', '.webm', '.mov', '.mkv'];
 const PREVIEW_PLACEHOLDER_URL = '/loras_static/images/no-preview.png';
 
 function buildCivitaiVersionUrl(modelId, versionId) {
-    if (modelId == null || versionId == null) {
-        return null;
-    }
-    const normalizedModelId = String(modelId).trim();
-    const normalizedVersionId = String(versionId).trim();
-    if (!normalizedModelId || !normalizedVersionId) {
-        return null;
-    }
-    const encodedModelId = encodeURIComponent(normalizedModelId);
-    const encodedVersionId = encodeURIComponent(normalizedVersionId);
-    return `https://civitai.com/models/${encodedModelId}?modelVersionId=${encodedVersionId}`;
+    return buildCivitaiModelUrl(
+        modelId,
+        versionId,
+        state?.global?.settings?.civitai_host
+    );
 }
 
 function escapeHtml(value) {
@@ -1352,6 +1347,13 @@ export function initVersionsTab({
         }
 
         const row = event.target.closest('.model-version-row.is-clickable');
+        const civitaiLink = event.target.closest('.version-civitai-link');
+        if (civitaiLink) {
+            event.preventDefault();
+            openCivitaiUrl(civitaiLink.href);
+            return;
+        }
+
         if (!row) {
             return;
         }
@@ -1371,7 +1373,7 @@ export function initVersionsTab({
             return;
         }
         event.preventDefault();
-        window.open(targetUrl, '_blank', 'noopener,noreferrer');
+        openCivitaiUrl(targetUrl);
     });
 
     // Listen for extension-triggered refresh requests

static/js/managers/DownloadManager.js

@@ -6,6 +6,7 @@ import { getModelApiClient, resetAndReload } from '../api/modelApiFactory.js';
 import { getStorageItem, setStorageItem } from '../utils/storageHelpers.js';
 import { FolderTreeManager } from '../components/FolderTreeManager.js';
 import { translate } from '../utils/i18nHelpers.js';
+import { extractCivitaiModelUrlParts } from '../utils/civitaiUtils.js';
 
 export class DownloadManager {
     constructor() {
@@ -197,21 +198,22 @@ export class DownloadManager {
     }
 
     extractModelId(url) {
-        const versionMatch = url.match(/modelVersionId=(\d+)/i);
-        this.modelVersionId = versionMatch ? versionMatch[1] : null;
-
         const civarchiveMatch = url.match(/https?:\/\/(?:www\.)?(?:civitaiarchive|civarchive)\.com\/models\/(\d+)/i);
         if (civarchiveMatch) {
+            const versionMatch = url.match(/modelVersionId=(\d+)/i);
+            this.modelVersionId = versionMatch ? versionMatch[1] : null;
             this.source = 'civarchive';
             return civarchiveMatch[1];
         }
 
-        const civitaiMatch = url.match(/https?:\/\/(?:www\.)?civitai\.com\/models\/(\d+)/i);
-        if (civitaiMatch) {
+        const { modelId, modelVersionId } = extractCivitaiModelUrlParts(url);
+        if (modelId) {
+            this.modelVersionId = modelVersionId;
             this.source = null;
-            return civitaiMatch[1];
+            return modelId;
         }
 
+        this.modelVersionId = null;
         this.source = null;
         return null;
     }

static/js/managers/SettingsManager.js

@@ -802,6 +802,11 @@ export class SettingsManager {
             usePortableCheckbox.checked = !!state.global.settings.use_portable_settings;
         }
 
+        const civitaiHostSelect = document.getElementById('civitaiHost');
+        if (civitaiHostSelect) {
+            civitaiHostSelect.value = state.global.settings.civitai_host || 'civitai.com';
+        }
+
         const recipesPathInput = document.getElementById('recipesPath');
         if (recipesPathInput) {
             recipesPathInput.value = state.global.settings.recipes_path || '';

static/js/state/index.js

@@ -5,6 +5,7 @@ import { DEFAULT_PATH_TEMPLATES, DEFAULT_PRIORITY_TAG_CONFIG } from '../utils/co
 
 const DEFAULT_SETTINGS_BASE = Object.freeze({
     civitai_api_key: '',
+    civitai_host: 'civitai.com',
     use_portable_settings: false,
     language: 'en',
     show_only_sfw: false,
@@ -89,7 +90,9 @@ export const state = {
                 baseModel: [],
                 tags: {},
                 license: {},
-                modelTypes: []
+                modelTypes: [],
+                search: '',
+                tagLogic: 'any',
             },
             bulkMode: false,
             selectedLoras: new Set(),
@@ -97,6 +100,12 @@ export const state = {
             showFavoritesOnly: false,
             showUpdateAvailableOnly: false,
             duplicatesMode: false,
+            viewMode: 'active',
+            excludedViewState: {
+                sortBy: 'name:asc',
+                search: '',
+            },
+            activeViewSnapshot: null,
         },
 
         recipes: {
@@ -146,7 +155,9 @@ export const state = {
                 baseModel: [],
                 tags: {},
                 license: {},
-                modelTypes: []
+                modelTypes: [],
+                search: '',
+                tagLogic: 'any',
             },
             modelType: 'checkpoint', // 'checkpoint' or 'diffusion_model'
             bulkMode: false,
@@ -155,6 +166,12 @@ export const state = {
             showFavoritesOnly: false,
             showUpdateAvailableOnly: false,
             duplicatesMode: false,
+            viewMode: 'active',
+            excludedViewState: {
+                sortBy: 'name:asc',
+                search: '',
+            },
+            activeViewSnapshot: null,
         },
 
         [MODEL_TYPES.EMBEDDING]: {
@@ -177,7 +194,9 @@ export const state = {
                 baseModel: [],
                 tags: {},
                 license: {},
-                modelTypes: []
+                modelTypes: [],
+                search: '',
+                tagLogic: 'any',
             },
             bulkMode: false,
             selectedModels: new Set(),
@@ -185,6 +204,12 @@ export const state = {
             showFavoritesOnly: false,
             showUpdateAvailableOnly: false,
             duplicatesMode: false,
+            viewMode: 'active',
+            excludedViewState: {
+                sortBy: 'name:asc',
+                search: '',
+            },
+            activeViewSnapshot: null,
         }
     },
 

static/js/utils/civitaiUtils.js

@@ -13,6 +13,64 @@ export const OptimizationMode = {
     THUMBNAIL: 'thumbnail',
 };
 
+export const DEFAULT_CIVITAI_PAGE_HOST = 'civitai.com';
+
+const SUPPORTED_CIVITAI_PAGE_HOSTS = new Set([
+    'civitai.com',
+    'civitai.red',
+]);
+
+export function normalizeCivitaiPageHost(hostname) {
+    if (!hostname || typeof hostname !== 'string') {
+        return DEFAULT_CIVITAI_PAGE_HOST;
+    }
+
+    const normalized = hostname.trim().toLowerCase();
+    if (SUPPORTED_CIVITAI_PAGE_HOSTS.has(normalized)) {
+        return normalized;
+    }
+
+    return DEFAULT_CIVITAI_PAGE_HOST;
+}
+
+export function buildCivitaiModelUrl(modelId, versionId = null, host = DEFAULT_CIVITAI_PAGE_HOST) {
+    const normalizedHost = normalizeCivitaiPageHost(host);
+    const normalizedModelId = modelId == null ? '' : String(modelId).trim();
+    const normalizedVersionId = versionId == null ? '' : String(versionId).trim();
+
+    if (normalizedModelId) {
+        const encodedModelId = encodeURIComponent(normalizedModelId);
+        let url = `https://${normalizedHost}/models/${encodedModelId}`;
+        if (normalizedVersionId) {
+            url += `?modelVersionId=${encodeURIComponent(normalizedVersionId)}`;
+        }
+        return url;
+    }
+
+    if (normalizedVersionId) {
+        return `https://${normalizedHost}/model-versions/${encodeURIComponent(normalizedVersionId)}`;
+    }
+
+    return null;
+}
+
+export function buildCivitaiSearchUrl(query, host = DEFAULT_CIVITAI_PAGE_HOST) {
+    const normalizedQuery = query == null ? '' : String(query).trim();
+    if (!normalizedQuery) {
+        return null;
+    }
+
+    const normalizedHost = normalizeCivitaiPageHost(host);
+    return `https://${normalizedHost}/models?query=${encodeURIComponent(normalizedQuery)}`;
+}
+
+export function buildCivitaiUrl({ modelId = null, versionId = null, modelName = null, host = DEFAULT_CIVITAI_PAGE_HOST } = {}) {
+    return (
+        buildCivitaiModelUrl(modelId, versionId, host)
+        || buildCivitaiSearchUrl(modelName, host)
+    );
+}
+
 /**
  * Rewrite Civitai preview URLs to use optimized renditions.
  * Mirrors the backend's rewrite_preview_url() function from py/utils/civitai_utils.py
@@ -119,3 +177,50 @@ export function isCivitaiUrl(url) {
         return false;
     }
 }
+
+export function isSupportedCivitaiPageHost(hostname) {
+    if (!hostname) {
+        return false;
+    }
+
+    return SUPPORTED_CIVITAI_PAGE_HOSTS.has(hostname.toLowerCase());
+}
+
+export function extractCivitaiModelUrlParts(url) {
+    if (!url) {
+        return { modelId: null, modelVersionId: null };
+    }
+
+    try {
+        const parsedUrl = new URL(url);
+        if (!isSupportedCivitaiPageHost(parsedUrl.hostname)) {
+            return { modelId: null, modelVersionId: null };
+        }
+
+        const pathMatch = parsedUrl.pathname.match(/\/models\/(\d+)/);
+        const modelId = pathMatch ? pathMatch[1] : null;
+        const modelVersionId = parsedUrl.searchParams.get('modelVersionId');
+
+        return { modelId, modelVersionId };
+    } catch (e) {
+        return { modelId: null, modelVersionId: null };
+    }
+}
+
+export function extractCivitaiImageId(url) {
+    if (!url) {
+        return null;
+    }
+
+    try {
+        const parsedUrl = new URL(url);
+        if (!isSupportedCivitaiPageHost(parsedUrl.hostname)) {
+            return null;
+        }
+
+        const pathMatch = parsedUrl.pathname.match(/\/images\/(\d+)/);
+        return pathMatch ? pathMatch[1] : null;
+    } catch (e) {
+        return null;
+    }
+}

static/js/utils/uiHelpers.js

@@ -3,6 +3,66 @@ import { state, getCurrentPageState } from '../state/index.js';
 import { getStorageItem, setStorageItem } from './storageHelpers.js';
 import { NODE_TYPE_ICONS, DEFAULT_NODE_COLOR } from './constants.js';
 import { eventManager } from './EventManager.js';
+import { bannerService } from '../managers/BannerService.js';
+import { modalManager } from '../managers/ModalManager.js';
+import { buildCivitaiUrl, normalizeCivitaiPageHost } from './civitaiUtils.js';
+
+const CIVITAI_HOST_INFO_BANNER_ID = 'civitai-host-preference';
+const CIVITAI_HOST_INFO_BANNER_SEEN_KEY = 'civitai_host_info_banner_seen';
+
+function getPreferredCivitaiHost() {
+  return normalizeCivitaiPageHost(state?.global?.settings?.civitai_host);
+}
+
+function maybeRegisterCivitaiHostInfoBanner() {
+  if (getStorageItem(CIVITAI_HOST_INFO_BANNER_SEEN_KEY, false)) {
+    return;
+  }
+
+  setStorageItem(CIVITAI_HOST_INFO_BANNER_SEEN_KEY, true);
+
+  bannerService.registerBanner(CIVITAI_HOST_INFO_BANNER_ID, {
+    id: CIVITAI_HOST_INFO_BANNER_ID,
+    title: translate(
+      'settings.civitaiHostBanner.title',
+      {},
+      'Civitai host preference available'
+    ),
+    content: translate(
+      'settings.civitaiHostBanner.content',
+      {},
+      'Civitai now uses civitai.com for SFW content and civitai.red for unrestricted content. You can change which site opens by default in Settings.'
+    ),
+    actions: [
+      {
+        text: translate('settings.civitaiHostBanner.openSettings', {}, 'Open Settings'),
+        icon: 'fas fa-cog',
+        action: 'open-settings-modal',
+        type: 'primary',
+      },
+    ],
+    dismissible: true,
+    priority: 70,
+    onRegister: (bannerElement) => {
+      const button = bannerElement.querySelector('.banner-action[data-action="open-settings-modal"]');
+      if (button) {
+        button.addEventListener('click', (event) => {
+          event.preventDefault();
+          modalManager.showModal('settingsModal');
+        });
+      }
+    },
+  });
+}
+
+export function openCivitaiUrl(url) {
+  if (!url) {
+    return null;
+  }
+
+  maybeRegisterCivitaiHostInfoBanner();
+  return window.open(url, '_blank', 'noopener,noreferrer');
+}
 
 /**
  * Utility function to copy text to clipboard with fallback for older browsers
@@ -184,14 +244,15 @@ function filterByFolder(folderPath) {
 }
 
 export function openCivitaiByMetadata(civitaiId, versionId, modelName = null) {
-  if (versionId) {
-    // Use model-versions endpoint which auto-redirects to correct model page
-    window.open(`https://civitai.com/model-versions/${versionId}`, '_blank');
-  } else if (civitaiId) {
-    window.open(`https://civitai.com/models/${civitaiId}`, '_blank');
-  } else if (modelName) {
-    // Fallback: search by name
-    window.open(`https://civitai.com/models?query=${encodeURIComponent(modelName)}`, '_blank');
+  const url = buildCivitaiUrl({
+    modelId: civitaiId,
+    versionId,
+    modelName,
+    host: getPreferredCivitaiHost(),
+  });
+
+  if (url) {
+    openCivitaiUrl(url);
   }
 }
 

templates/components/context_menu.html

@@ -111,6 +111,9 @@
     <div class="context-menu-item" data-action="cleanup-example-images-folders">
         <i class="fas fa-trash-restore"></i> <span>{{ t('globalContextMenu.cleanupExampleImages.label') }}</span>
     </div>
+    <div class="context-menu-item" data-action="manage-excluded-models">
+        <i class="fas fa-eye-slash"></i> <span>{{ t('globalContextMenu.manageExcludedModels.label', default='Manage Excluded Models') }}</span>
+    </div>
     <div class="context-menu-item" data-action="repair-recipes">
         <i class="fas fa-tools"></i> <span>{{ t('globalContextMenu.repairRecipes.label') }}</span>
     </div>
@@ -136,4 +139,4 @@
 
 <div id="nodeSelector" class="node-selector">
     <!-- Dynamic node list will be populated here -->
-</div>
+</div>

templates/components/controls.html

@@ -1,4 +1,16 @@
 <div class="controls">
+    <div id="excludedViewBanner" class="excluded-view-banner hidden">
+        <div class="excluded-view-banner__content">
+            <div class="excluded-view-banner__title">
+                <i class="fas fa-eye-slash"></i>
+                <span>{{ t('globalContextMenu.manageExcludedModels.label', default='Excluded Models') }}</span>
+            </div>
+            <button id="excludedViewBackBtn" class="excluded-view-banner__back">
+                <i class="fas fa-arrow-left"></i>
+                <span>{{ t('common.actions.back', default='Back') }}</span>
+            </button>
+        </div>
+    </div>
     <div class="actions">
         <div class="action-buttons">
             <div title="{{ t('loras.controls.sort.title') }}" class="control-group">

templates/components/modals/settings_modal.html

@@ -114,6 +114,21 @@
                             </div>
                         </div>
 
+                        <div class="setting-item">
+                            <div class="setting-row">
+                                <div class="setting-info">
+                                    <label for="civitaiHost">{{ t('settings.civitaiHost.label') }}</label>
+                                    <i class="fas fa-info-circle info-icon" data-tooltip="{{ t('settings.civitaiHost.help') }}"></i>
+                                </div>
+                                <div class="setting-control select-control">
+                                    <select id="civitaiHost" onchange="settingsManager.saveSelectSetting('civitaiHost', 'civitai_host')">
+                                        <option value="civitai.com">{{ t('settings.civitaiHost.options.com') }}</option>
+                                        <option value="civitai.red">{{ t('settings.civitaiHost.options.red') }}</option>
+                                    </select>
+                                </div>
+                            </div>
+                        </div>
+
                         <!-- Backup -->
                         <div class="settings-subsection">
                             <div class="settings-subsection-header">

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

@@ -126,6 +126,31 @@ describe('AutoComplete widget interactions', () => {
     expect(caretHelperInstance.getCursorOffset).toHaveBeenCalled();
   });
 
+  it('deduplicates duplicate-equivalent query variations before issuing requests', async () => {
+    vi.useFakeTimers();
+
+    fetchApiMock.mockResolvedValue({
+      json: () => Promise.resolve({ success: true, words: [] }),
+    });
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('Example');
+
+    const input = document.createElement('textarea');
+    document.body.append(input);
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    new AutoComplete(input, 'prompt', { debounceDelay: 0, showPreview: false, minChars: 1 });
+
+    input.value = 'Example';
+    input.dispatchEvent(new Event('input', { bubbles: true }));
+
+    await vi.runAllTimersAsync();
+    await Promise.resolve();
+
+    expect(fetchApiMock).toHaveBeenCalledTimes(1);
+    expect(fetchApiMock).toHaveBeenCalledWith('/lm/custom-words/search?enriched=true&search=Example&limit=100');
+  });
+
   it('inserts the selected LoRA with usage tip strengths and restores focus', async () => {
     fetchApiMock.mockImplementation((url) => {
       if (url.includes('usage-tips-by-path')) {
@@ -244,6 +269,53 @@ describe('AutoComplete widget interactions', () => {
     expect(inputListener).not.toHaveBeenCalled();
   });
 
+  it('shows the full command list when typing a single slash', async () => {
+    const input = document.createElement('textarea');
+    input.value = '/';
+    input.selectionStart = input.value.length;
+    document.body.append(input);
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('/');
+    caretHelperInstance.getCursorOffset.mockReturnValue({ left: 15, top: 25 });
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', { showPreview: false, minChars: 1 });
+
+    input.dispatchEvent(new Event('input', { bubbles: true }));
+
+    const commandNames = autoComplete.items.map((item) => item.command);
+
+    expect(commandNames).toContain('/character');
+    expect(commandNames).toContain('/artist');
+    expect(commandNames).toContain('/general');
+    expect(commandNames).toContain('/copyright');
+    expect(commandNames).toContain('/meta');
+    expect(commandNames).toContain('/species');
+    expect(commandNames).toContain('/lore');
+    expect(commandNames).toContain('/emb');
+    expect(commandNames).toContain('/embedding');
+    expect(commandNames).toContain('/wildcard');
+  });
+
+  it('renders every command item when slash opens the command list', async () => {
+    const input = document.createElement('textarea');
+    input.value = '/';
+    input.selectionStart = input.value.length;
+    document.body.append(input);
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('/');
+    caretHelperInstance.getCursorOffset.mockReturnValue({ left: 15, top: 25 });
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input, 'prompt', { showPreview: false, minChars: 1 });
+
+    input.dispatchEvent(new Event('input', { bubbles: true }));
+
+    const renderedCommands = autoComplete.contentContainer.querySelectorAll('.lm-autocomplete-command-name');
+
+    expect(renderedCommands).toHaveLength(autoComplete.items.length);
+  });
+
   it('accepts the selected suggestion with Enter', async () => {
     caretHelperInstance.getBeforeCursor.mockReturnValue('example');
 
@@ -300,6 +372,66 @@ describe('AutoComplete widget interactions', () => {
     expect(insertSelectionSpy).toHaveBeenCalledWith('loop');
   });
 
+  it('preserves manual ArrowDown selection when Tab accepts a suggestion', async () => {
+    caretHelperInstance.getBeforeCursor.mockReturnValue('loop');
+
+    const input = document.createElement('textarea');
+    input.value = 'loop';
+    input.selectionStart = input.value.length;
+    input.focus = vi.fn();
+    input.setSelectionRange = vi.fn();
+    document.body.append(input);
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', { showPreview: false, minChars: 1 });
+
+    autoComplete.searchType = 'custom_words';
+    autoComplete.items = [
+      { tag_name: 'looking_to_the_side', category: 0, post_count: 1000 },
+      { tag_name: 'loop', category: 0, post_count: 500 },
+    ];
+    autoComplete.currentSearchTerm = 'loo';
+    autoComplete.selectedIndex = 0;
+    autoComplete.isVisible = true;
+    const insertSelectionSpy = vi.spyOn(autoComplete,'insertSelection').mockResolvedValue();
+
+    input.dispatchEvent(new KeyboardEvent('keydown', { key: 'ArrowDown', bubbles: true }));
+    input.dispatchEvent(new KeyboardEvent('keydown', { key: 'Tab', bubbles: true, cancelable: true }));
+
+    expect(autoComplete.selectedIndex).toBe(1);
+    expect(insertSelectionSpy).toHaveBeenCalledWith('loop');
+  });
+
+  it('preserves manual ArrowDown selection when Enter accepts a suggestion', async () => {
+    caretHelperInstance.getBeforeCursor.mockReturnValue('loop');
+
+    const input = document.createElement('textarea');
+    input.value = 'loop';
+    input.selectionStart = input.value.length;
+    input.focus = vi.fn();
+    input.setSelectionRange = vi.fn();
+    document.body.append(input);
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', { showPreview: false, minChars: 1 });
+
+    autoComplete.searchType = 'custom_words';
+    autoComplete.items = [
+      { tag_name: 'looking_to_the_side', category: 0, post_count: 1000 },
+      { tag_name: 'loop', category: 0, post_count: 500 },
+    ];
+    autoComplete.currentSearchTerm = 'loo';
+    autoComplete.selectedIndex = 0;
+    autoComplete.isVisible = true;
+    const insertSelectionSpy = vi.spyOn(autoComplete,'insertSelection').mockResolvedValue();
+
+    input.dispatchEvent(new KeyboardEvent('keydown', { key: 'ArrowDown', bubbles: true }));
+    input.dispatchEvent(new KeyboardEvent('keydown', { key: 'Enter', bubbles: true, cancelable: true }));
+
+    expect(autoComplete.selectedIndex).toBe(1);
+    expect(insertSelectionSpy).toHaveBeenCalledWith('loop');
+  });
+
   it('accepts the first available suggestion with Tab even if delayed auto-selection has not happened yet', async () => {
     caretHelperInstance.getBeforeCursor.mockReturnValue('loop');
 
@@ -743,12 +875,12 @@ describe('AutoComplete widget interactions', () => {
       json: () => Promise.resolve({ success: true, words: mockTags }),
     });
 
-    // Simulate "/char looking to the side" input
-    caretHelperInstance.getBeforeCursor.mockReturnValue('/char looking to the side');
+    // Simulate "/character looking to the side" input
+    caretHelperInstance.getBeforeCursor.mockReturnValue('/character looking to the side');
     caretHelperInstance.getCursorOffset.mockReturnValue({ left: 15, top: 25 });
 
     const input = document.createElement('textarea');
-    input.value = '/char looking to the side';
+    input.value = '/character looking to the side';
     input.selectionStart = input.value.length;
     input.focus = vi.fn();
     input.setSelectionRange = vi.fn();
@@ -766,7 +898,7 @@ describe('AutoComplete widget interactions', () => {
     autoComplete.activeCommand = { categories: [4, 11], label: 'Character' };
     autoComplete.items = mockTags;
     autoComplete.selectedIndex = 0;
-    autoComplete.currentSearchTerm = '/char looking to the side';
+    autoComplete.currentSearchTerm = '/character looking to the side';
 
     await autoComplete.insertSelection('looking_to_the_side');
 
@@ -1073,6 +1205,253 @@ describe('AutoComplete widget interactions', () => {
     expect(fetchApiMock).toHaveBeenCalledWith('/lm/custom-words/search?enriched=true&search=cat&limit=100');
   });
 
+  it('searches wildcard keys when using the /wildcard command', async () => {
+    vi.useFakeTimers();
+
+    fetchApiMock.mockResolvedValue({
+      json: () => Promise.resolve({
+        success: true,
+        words: ['animals/cat'],
+        meta: {
+          has_wildcards: true,
+          wildcards_dir: '/tmp/settings/wildcards',
+          supported_formats: ['.txt', '.yaml', '.yml', '.json'],
+        },
+      }),
+    });
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('/wildcard cat');
+    caretHelperInstance.getCursorOffset.mockReturnValue({ left: 15, top: 25 });
+
+    const input = document.createElement('textarea');
+    input.value = '/wildcard cat';
+    input.selectionStart = input.value.length;
+    document.body.append(input);
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', {
+      debounceDelay: 0,
+      showPreview: false,
+      minChars: 1,
+    });
+
+    fetchApiMock.mockClear();
+    input.dispatchEvent(new Event('input', { bubbles: true }));
+    await vi.runAllTimersAsync();
+    await Promise.resolve();
+
+    expect(fetchApiMock).toHaveBeenCalledWith('/lm/wildcards/search?search=cat&limit=100');
+    expect(autoComplete.searchType).toBe('wildcards');
+    expect(autoComplete.items).toEqual(['animals/cat']);
+  });
+
+  it('shows wildcard onboarding when /wildcard is used before any files exist', async () => {
+    vi.useFakeTimers();
+
+    fetchApiMock.mockResolvedValue({
+      json: () => Promise.resolve({
+        success: true,
+        words: [],
+        meta: {
+          has_wildcards: false,
+          wildcards_dir: '/tmp/settings/wildcards',
+          supported_formats: ['.txt', '.yaml', '.yml', '.json'],
+        },
+      }),
+    });
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('/wildcard cat');
+    caretHelperInstance.getCursorOffset.mockReturnValue({ left: 15, top: 25 });
+
+    const input = document.createElement('textarea');
+    input.value = '/wildcard cat';
+    input.selectionStart = input.value.length;
+    document.body.append(input);
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', {
+      debounceDelay: 0,
+      showPreview: false,
+      minChars: 1,
+    });
+
+    input.dispatchEvent(new Event('input', { bubbles: true }));
+    await vi.runAllTimersAsync();
+    await Promise.resolve();
+
+    expect(autoComplete.isVisible).toBe(true);
+    expect(autoComplete.items).toHaveLength(1);
+    expect(autoComplete.items[0].type).toBe('wildcard_empty_state');
+    expect(autoComplete.dropdown.textContent).toContain('No wildcards found yet');
+    expect(autoComplete.dropdown.textContent).toContain('/tmp/settings/wildcards');
+    expect(autoComplete.dropdown.textContent).toContain('.txt, .yaml, .yml, .json');
+  });
+
+  it('shows wildcard onboarding when only the /wildcard command is entered', async () => {
+    vi.useFakeTimers();
+
+    fetchApiMock.mockResolvedValue({
+      json: () => Promise.resolve({
+        success: true,
+        words: [],
+        meta: {
+          has_wildcards: false,
+          wildcards_dir: '/tmp/settings/wildcards',
+          supported_formats: ['.txt', '.yaml', '.yml', '.json'],
+        },
+      }),
+    });
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('/wildcard ');
+    caretHelperInstance.getCursorOffset.mockReturnValue({ left: 15, top: 25 });
+
+    const input = document.createElement('textarea');
+    input.value = '/wildcard ';
+    input.selectionStart = input.value.length;
+    document.body.append(input);
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', {
+      debounceDelay: 0,
+      showPreview: false,
+      minChars: 1,
+    });
+
+    input.dispatchEvent(new Event('input', { bubbles: true }));
+    await vi.runAllTimersAsync();
+    await Promise.resolve();
+
+    expect(fetchApiMock).toHaveBeenCalledWith('/lm/wildcards/search?search=&limit=100');
+    expect(autoComplete.isVisible).toBe(true);
+    expect(autoComplete.items).toHaveLength(1);
+    expect(autoComplete.items[0].type).toBe('wildcard_empty_state');
+    expect(autoComplete.dropdown.textContent).toContain('No wildcards found yet');
+  });
+
+  it('shows a lightweight no-match state when wildcard files exist but search misses', async () => {
+    vi.useFakeTimers();
+
+    fetchApiMock.mockResolvedValue({
+      json: () => Promise.resolve({
+        success: true,
+        words: [],
+        meta: {
+          has_wildcards: true,
+          wildcards_dir: '/tmp/settings/wildcards',
+          supported_formats: ['.txt', '.yaml', '.yml', '.json'],
+        },
+      }),
+    });
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('/wildcard dragon');
+    caretHelperInstance.getCursorOffset.mockReturnValue({ left: 15, top: 25 });
+
+    const input = document.createElement('textarea');
+    input.value = '/wildcard dragon';
+    input.selectionStart = input.value.length;
+    document.body.append(input);
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', {
+      debounceDelay: 0,
+      showPreview: false,
+      minChars: 1,
+    });
+
+    input.dispatchEvent(new Event('input', { bubbles: true }));
+    await vi.runAllTimersAsync();
+    await Promise.resolve();
+
+    expect(autoComplete.items).toHaveLength(1);
+    expect(autoComplete.items[0].type).toBe('wildcard_no_matches');
+    expect(autoComplete.dropdown.textContent).toContain('No wildcard matches');
+    expect(autoComplete.dropdown.textContent).not.toContain('Open wildcards folder');
+  });
+
+  it('inserts wildcard references when accepting a /wildcard result', async () => {
+    caretHelperInstance.getBeforeCursor.mockReturnValue('/wildcard animals/cat');
+
+    const input = document.createElement('textarea');
+    input.value = '/wildcard animals/cat';
+    input.selectionStart = input.value.length;
+    input.focus = vi.fn();
+    input.setSelectionRange = vi.fn();
+    document.body.append(input);
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', {
+      debounceDelay: 0,
+      showPreview: false,
+      minChars: 1,
+    });
+
+    autoComplete.searchType = 'wildcards';
+    autoComplete.activeCommand = { type: 'wildcard', label: 'Wildcards' };
+    autoComplete.items = ['animals/cat'];
+    autoComplete.selectedIndex = 0;
+
+    await autoComplete.insertSelection('animals/cat');
+
+    expect(input.value).toBe('__animals/cat__,');
+    expect(input.focus).toHaveBeenCalled();
+    expect(input.setSelectionRange).toHaveBeenCalled();
+  });
+
+  it('does not reopen autocomplete on blur after inserting a wildcard literal', async () => {
+    const input = document.createElement('textarea');
+    input.value = '__flower__,';
+    input.selectionStart = input.value.length;
+    document.body.append(input);
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('__flower__,');
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', {
+      debounceDelay: 0,
+      showPreview: false,
+      minChars: 1,
+    });
+
+    const hideSpy = vi.spyOn(autoComplete, 'hide');
+    input.dispatchEvent(new Event('blur', { bubbles: true }));
+
+    expect(fetchApiMock).not.toHaveBeenCalled();
+    expect(hideSpy).toHaveBeenCalled();
+    expect(autoComplete.isVisible).toBe(false);
+  });
+
+  it('treats a command after a wildcard literal as the active token', async () => {
+    vi.useFakeTimers();
+
+    fetchApiMock.mockResolvedValue({
+      json: () => Promise.resolve({
+        success: true,
+        words: [{ tag_name: 'flower_field', category: 4, post_count: 1234 }],
+      }),
+    });
+
+    const input = document.createElement('textarea');
+    input.value = '__flower__ /character f';
+    input.selectionStart = input.value.length;
+    document.body.append(input);
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('__flower__ /character f');
+    caretHelperInstance.getCursorOffset.mockReturnValue({ left: 15, top: 25 });
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input,'prompt', {
+      debounceDelay: 0,
+      showPreview: false,
+      minChars: 1,
+    });
+
+    input.dispatchEvent(new Event('input', { bubbles: true }));
+    await vi.runAllTimersAsync();
+    await Promise.resolve();
+
+    expect(autoComplete.getSearchTerm(input.value)).toBe('/character f');
+  });
+
   it('invalidates stale autocomplete metadata and falls back to delimiter-based matching', async () => {
     settingGetMock.mockImplementation((key) => {
       if (key === 'loramanager.autocomplete_append_comma') {

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

@@ -2102,6 +2102,7 @@ describe('Interaction-level regression coverage', () => {
         <div class="context-menu-item" data-action="check-model-updates"></div>
         <div class="context-menu-item" data-action="fetch-missing-licenses"></div>
         <div class="context-menu-item" data-action="cleanup-example-images-folders"></div>
+        <div class="context-menu-item" data-action="manage-excluded-models"></div>
       </div>
     `;
 
@@ -2120,6 +2121,9 @@ describe('Interaction-level regression coverage', () => {
       startProgressUpdates: vi.fn(),
       updateDownloadButtonText: vi.fn(),
     };
+    window.pageControls = {
+      enterExcludedView: vi.fn().mockResolvedValue(undefined),
+    };
 
     global.fetch = vi.fn()
       .mockResolvedValueOnce({
@@ -2224,5 +2228,10 @@ describe('Interaction-level regression coverage', () => {
     );
     expect(loadingManagerStub.showSimpleLoading).toHaveBeenNthCalledWith(2, 'Refreshing license metadata for LoRAs...');
     expect(fetchMissingItem.classList.contains('disabled')).toBe(false);
+
+    menu.showMenu(560, 600);
+    const excludedItem = document.querySelector('[data-action="manage-excluded-models"]');
+    excludedItem.dispatchEvent(new Event('click', { bubbles: true }));
+    expect(window.pageControls.enterExcludedView).toHaveBeenCalledTimes(1);
   });
 });

tests/frontend/components/modelContextMenuMixin.test.js

@@ -0,0 +1,21 @@
+import { describe, expect, it } from 'vitest';
+
+import { ModelContextMenuMixin } from '../../../static/js/components/ContextMenu/ModelContextMenuMixin.js';
+
+describe('ModelContextMenuMixin.extractModelVersionId', () => {
+  it('accepts civitai.red model URLs', () => {
+    expect(
+      ModelContextMenuMixin.extractModelVersionId(
+        'https://civitai.red/models/65423/nijimecha-artstyle?modelVersionId=777'
+      )
+    ).toEqual({ modelId: '65423', modelVersionId: '777' });
+  });
+
+  it('rejects model-like URLs from unsupported hosts', () => {
+    expect(
+      ModelContextMenuMixin.extractModelVersionId(
+        'https://example.com/models/65423?modelVersionId=777'
+      )
+    ).toEqual({ modelId: null, modelVersionId: null });
+  });
+});

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

@@ -26,6 +26,7 @@ vi.mock(DOWNLOAD_MANAGER_MODULE, () => ({
 
 vi.mock(UI_HELPERS_MODULE, () => ({
   showToast: vi.fn(),
+  openCivitaiUrl: vi.fn(),
 }));
 
 const stateMock = {

tests/frontend/components/pageControls.filtering.test.js

@@ -12,6 +12,7 @@ const apiClientMock = {
 };
 
 const showToastMock = vi.fn();
+const openCivitaiByMetadataMock = vi.fn();
 const updatePanelPositionsMock = vi.fn();
 const downloadManagerMock = {
   showDownloadModal: vi.fn(),
@@ -40,6 +41,7 @@ vi.mock('../../../static/js/api/modelApiFactory.js', () => ({
 
 vi.mock('../../../static/js/utils/uiHelpers.js', () => ({
   showToast: showToastMock,
+  openCivitaiByMetadata: openCivitaiByMetadataMock,
   updatePanelPositions: updatePanelPositionsMock,
 }));
 
@@ -84,6 +86,7 @@ beforeEach(() => {
 });
 
 afterEach(() => {
+  delete window.bulkManager;
   delete window.modelDuplicatesManager;
   delete global.fetch;
   vi.useRealTimers();
@@ -112,6 +115,9 @@ function renderControlsDom(pageKey) {
       <button class="clear-filter"></button>
     </div>
     <div class="controls">
+      <div id="excludedViewBanner" class="excluded-view-banner hidden">
+        <button id="excludedViewBackBtn">Back</button>
+      </div>
       <div class="actions">
         <div class="action-buttons">
           <div class="control-group">
@@ -170,6 +176,9 @@ function renderControlsDom(pageKey) {
         <i class="fas fa-times-circle clear-filter"></i>
       </div>
     </div>
+    <div id="breadcrumbContainer"></div>
+    <div id="duplicatesBanner" style="display: none;"></div>
+    <div class="alphabet-bar-container"></div>
   `;
 }
 
@@ -574,4 +583,93 @@ describe('PageControls favorites, sorting, and duplicates scenarios', () => {
     duplicateButton.click();
     expect(toggleDuplicateMode).toHaveBeenCalledTimes(1);
   });
+
+  it.each([
+    ['loras', 'LorasControls'],
+    ['checkpoints', 'CheckpointsControls'],
+    ['embeddings', 'EmbeddingsControls'],
+  ])('switches %s page into excluded mode and restores state', async (pageKey, exportName) => {
+    renderControlsDom(pageKey);
+    const stateModule = await import('../../../static/js/state/index.js');
+    stateModule.initPageState(pageKey);
+    const pageState = stateModule.getCurrentPageState();
+    pageState.filters.search = 'active-search';
+    pageState.showFavoritesOnly = true;
+    pageState.showUpdateAvailableOnly = true;
+
+    const controlsModule = await import('../../../static/js/components/controls/index.js');
+    const ControlsClass = controlsModule[exportName];
+    const controls = new ControlsClass();
+
+    await controls.enterExcludedView();
+
+    expect(pageState.viewMode).toBe('excluded');
+    expect(pageState.filters.search).toBe('');
+    expect(resetAndReloadMock).toHaveBeenLastCalledWith(false);
+    expect(document.getElementById('excludedViewBanner').classList.contains('hidden')).toBe(false);
+    expect(document.querySelector('[data-action="fetch"]').classList.contains('hidden')).toBe(true);
+    expect(document.getElementById('filterButton').disabled).toBe(true);
+
+    pageState.filters.search = 'excluded-search';
+    await controls.exitExcludedView();
+
+    expect(pageState.viewMode).toBe('active');
+    expect(pageState.filters.search).toBe('active-search');
+    expect(pageState.excludedViewState.search).toBe('excluded-search');
+    expect(resetAndReloadMock).toHaveBeenLastCalledWith(true);
+    expect(document.getElementById('excludedViewBanner').classList.contains('hidden')).toBe(true);
+    expect(document.querySelector('[data-action="fetch"]').classList.contains('hidden')).toBe(false);
+    expect(document.getElementById('filterButton').disabled).toBe(false);
+  });
+
+  it('suspends bulk and duplicate modes for excluded view and restores custom filter banner on exit', async () => {
+    renderControlsDom('loras');
+    const stateModule = await import('../../../static/js/state/index.js');
+    stateModule.initPageState('loras');
+    const pageState = stateModule.getCurrentPageState();
+    stateModule.state.bulkMode = true;
+    pageState.duplicatesMode = true;
+
+    sessionStorage.setItem('lora_manager_recipe_to_lora_filterLoraHash', 'hash-1');
+    sessionStorage.setItem('lora_manager_filterRecipeName', 'Recipe Filter');
+
+    const { LorasControls } = await import('../../../static/js/components/controls/LorasControls.js');
+
+    const toggleBulkMode = vi.fn(() => {
+      stateModule.state.bulkMode = !stateModule.state.bulkMode;
+    });
+    const exitDuplicateMode = vi.fn(() => {
+      pageState.duplicatesMode = false;
+    });
+    const enterDuplicateMode = vi.fn(() => {
+      pageState.duplicatesMode = true;
+    });
+
+    window.bulkManager = { toggleBulkMode };
+    window.modelDuplicatesManager = {
+      duplicateGroups: [{ hash: 'dup-1', models: [{ file_path: 'a' }, { file_path: 'b' }] }],
+      exitDuplicateMode,
+      enterDuplicateMode,
+    };
+
+    const controls = new LorasControls();
+    const indicator = document.getElementById('customFilterIndicator');
+    expect(indicator.classList.contains('hidden')).toBe(false);
+
+    await controls.enterExcludedView();
+
+    expect(toggleBulkMode).toHaveBeenCalledTimes(1);
+    expect(exitDuplicateMode).toHaveBeenCalledTimes(1);
+    expect(stateModule.state.bulkMode).toBe(false);
+    expect(pageState.duplicatesMode).toBe(false);
+    expect(indicator.classList.contains('hidden')).toBe(true);
+
+    await controls.exitExcludedView();
+
+    expect(indicator.classList.contains('hidden')).toBe(false);
+    expect(toggleBulkMode).toHaveBeenCalledTimes(2);
+    expect(enterDuplicateMode).toHaveBeenCalledTimes(1);
+    expect(stateModule.state.bulkMode).toBe(true);
+    expect(pageState.duplicatesMode).toBe(true);
+  });
 });

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

@@ -136,4 +136,14 @@ describe('DownloadManager version history badges', () => {
     expect(items[1].querySelector('.local-path')?.textContent).toContain('/models/still-local.safetensors');
     expect(items[1].querySelector('.downloaded-badge')).toBeNull();
   });
+
+  it('extracts model and version ids from civitai.red URLs', () => {
+    const manager = new DownloadManager();
+
+    expect(
+      manager.extractModelId('https://civitai.red/models/65423/nijimecha-artstyle?modelVersionId=777')
+    ).toBe('65423');
+    expect(manager.modelVersionId).toBe('777');
+    expect(manager.source).toBeNull();
+  });
 });

tests/frontend/pages/recipesPage.test.js

@@ -7,6 +7,8 @@ const getCurrentPageStateMock = vi.fn();
 const getSessionItemMock = vi.fn();
 const removeSessionItemMock = vi.fn();
 const getStorageItemMock = vi.fn();
+const setStorageItemMock = vi.fn();
+const removeStorageItemMock = vi.fn();
 const RecipeContextMenuMock = vi.fn();
 const refreshVirtualScrollMock = vi.fn();
 const refreshRecipesMock = vi.fn();
@@ -53,6 +55,8 @@ vi.mock('../../../static/js/utils/storageHelpers.js', () => ({
   getSessionItem: getSessionItemMock,
   removeSessionItem: removeSessionItemMock,
   getStorageItem: getStorageItemMock,
+  setStorageItem: setStorageItemMock,
+  removeStorageItem: removeStorageItemMock,
 }));
 
 vi.mock('../../../static/js/components/ContextMenu/index.js', () => ({

tests/frontend/state/index.test.js

@@ -14,6 +14,7 @@ describe('state module', () => {
 
     expect(defaultSettings).toMatchObject({
       civitai_api_key: '',
+      civitai_host: 'civitai.com',
       language: 'en',
       blur_mature_content: true,
       mature_blur_level: 'R'

tests/frontend/utils/civitaiUtils.test.js

@@ -1,10 +1,18 @@
 import { describe, it, expect } from 'vitest';
 import {
+    DEFAULT_CIVITAI_PAGE_HOST,
+    normalizeCivitaiPageHost,
+    buildCivitaiModelUrl,
+    buildCivitaiSearchUrl,
+    buildCivitaiUrl,
     rewriteCivitaiUrl,
     getOptimizedUrl,
     getShowcaseUrl,
     getThumbnailUrl,
+    extractCivitaiImageId,
+    extractCivitaiModelUrlParts,
     isCivitaiUrl,
+    isSupportedCivitaiPageHost,
     OptimizationMode
 } from '../../../static/js/utils/civitaiUtils.js';
 
@@ -16,6 +24,47 @@ describe('civitaiUtils', () => {
         });
     });
 
+    describe('Civitai page URL helpers', () => {
+        it('normalizes invalid hosts to the default page host', () => {
+            expect(DEFAULT_CIVITAI_PAGE_HOST).toBe('civitai.com');
+            expect(normalizeCivitaiPageHost('civitai.red')).toBe('civitai.red');
+            expect(normalizeCivitaiPageHost(' CIVITAI.COM ')).toBe('civitai.com');
+            expect(normalizeCivitaiPageHost('example.com')).toBe('civitai.com');
+            expect(normalizeCivitaiPageHost(null)).toBe('civitai.com');
+        });
+
+        it('builds model URLs using the configured host', () => {
+            expect(buildCivitaiModelUrl(123, 456, 'civitai.red')).toBe(
+                'https://civitai.red/models/123?modelVersionId=456'
+            );
+            expect(buildCivitaiModelUrl(123, null, 'civitai.com')).toBe(
+                'https://civitai.com/models/123'
+            );
+        });
+
+        it('falls back to the model-versions endpoint when only a version id is available', () => {
+            expect(buildCivitaiModelUrl(null, 456, 'civitai.red')).toBe(
+                'https://civitai.red/model-versions/456'
+            );
+        });
+
+        it('builds search URLs using the configured host', () => {
+            expect(buildCivitaiSearchUrl('demo model', 'civitai.red')).toBe(
+                'https://civitai.red/models?query=demo%20model'
+            );
+            expect(buildCivitaiSearchUrl('', 'civitai.red')).toBe(null);
+        });
+
+        it('prefers model/version URLs and falls back to search URLs', () => {
+            expect(buildCivitaiUrl({ modelId: 321, versionId: 654, host: 'civitai.red' })).toBe(
+                'https://civitai.red/models/321?modelVersionId=654'
+            );
+            expect(buildCivitaiUrl({ modelName: 'search me', host: 'civitai.red' })).toBe(
+                'https://civitai.red/models?query=search%20me'
+            );
+        });
+    });
+
     describe('rewriteCivitaiUrl', () => {
         it('should rewrite image URLs with /original=true for thumbnail mode', () => {
             const originalUrl = 'https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/abc123/original=true/12345.jpeg';
@@ -217,4 +266,43 @@ describe('civitaiUtils', () => {
             expect(isCivitaiUrl('not-a-url')).toBe(false);
         });
     });
+
+    describe('isSupportedCivitaiPageHost', () => {
+        it('accepts civitai.com and civitai.red page hosts', () => {
+            expect(isSupportedCivitaiPageHost('civitai.com')).toBe(true);
+            expect(isSupportedCivitaiPageHost('civitai.red')).toBe(true);
+        });
+
+        it('rejects unrelated hosts', () => {
+            expect(isSupportedCivitaiPageHost('www.civitai.com')).toBe(false);
+            expect(isSupportedCivitaiPageHost('www.civitai.red')).toBe(false);
+            expect(isSupportedCivitaiPageHost('example.com')).toBe(false);
+            expect(isSupportedCivitaiPageHost('')).toBe(false);
+            expect(isSupportedCivitaiPageHost(null)).toBe(false);
+        });
+    });
+
+    describe('extractCivitaiModelUrlParts', () => {
+        it('extracts model and version ids from civitai.red model URLs', () => {
+            expect(
+                extractCivitaiModelUrlParts('https://civitai.red/models/65423/name?modelVersionId=98765')
+            ).toEqual({ modelId: '65423', modelVersionId: '98765' });
+        });
+
+        it('rejects model-like URLs from unsupported hosts', () => {
+            expect(
+                extractCivitaiModelUrlParts('https://example.com/models/65423?modelVersionId=98765')
+            ).toEqual({ modelId: null, modelVersionId: null });
+        });
+    });
+
+    describe('extractCivitaiImageId', () => {
+        it('extracts image ids from civitai.red image URLs', () => {
+            expect(extractCivitaiImageId('https://civitai.red/images/126920345')).toBe('126920345');
+        });
+
+        it('rejects image-like URLs from unsupported hosts', () => {
+            expect(extractCivitaiImageId('https://example.com/images/126920345')).toBe(null);
+        });
+    });
 });

tests/frontend/utils/uiHelpers.dom.test.js

@@ -6,6 +6,8 @@ const {
   STORAGE_MODULE,
   CONSTANTS_MODULE,
   EVENT_MANAGER_MODULE,
+  BANNER_SERVICE_MODULE,
+  MODAL_MANAGER_MODULE,
   UI_HELPERS_MODULE,
 } = vi.hoisted(() => ({
   I18N_MODULE: new URL('../../../static/js/utils/i18nHelpers.js', import.meta.url).pathname,
@@ -13,12 +15,16 @@ const {
   STORAGE_MODULE: new URL('../../../static/js/utils/storageHelpers.js', import.meta.url).pathname,
   CONSTANTS_MODULE: new URL('../../../static/js/utils/constants.js', import.meta.url).pathname,
   EVENT_MANAGER_MODULE: new URL('../../../static/js/utils/EventManager.js', import.meta.url).pathname,
+  BANNER_SERVICE_MODULE: new URL('../../../static/js/managers/BannerService.js', import.meta.url).pathname,
+  MODAL_MANAGER_MODULE: new URL('../../../static/js/managers/ModalManager.js', import.meta.url).pathname,
   UI_HELPERS_MODULE: new URL('../../../static/js/utils/uiHelpers.js', import.meta.url).pathname,
 }));
 
 const translateMock = vi.fn((key, _params, fallback) => fallback || key);
 const getStorageItemMock = vi.fn();
 const setStorageItemMock = vi.fn();
+const registerBannerMock = vi.fn();
+const showModalMock = vi.fn();
 
 vi.mock(I18N_MODULE, () => ({
   translate: translateMock,
@@ -50,6 +56,18 @@ vi.mock(EVENT_MANAGER_MODULE, () => ({
   },
 }));
 
+vi.mock(BANNER_SERVICE_MODULE, () => ({
+  bannerService: {
+    registerBanner: registerBannerMock,
+  },
+}));
+
+vi.mock(MODAL_MANAGER_MODULE, () => ({
+  modalManager: {
+    showModal: showModalMock,
+  },
+}));
+
 describe('UI helper DOM utilities', () => {
   beforeEach(() => {
     document.body.innerHTML = '';
@@ -57,6 +75,8 @@ describe('UI helper DOM utilities', () => {
     document.documentElement.removeAttribute('data-theme');
     getStorageItemMock.mockReset();
     setStorageItemMock.mockReset();
+    registerBannerMock.mockReset();
+    showModalMock.mockReset();
     translateMock.mockReset();
     globalThis.requestAnimationFrame = (cb) => cb();
   });
@@ -156,4 +176,58 @@ describe('UI helper DOM utilities', () => {
       '#2 (Character Subgraph) Nested Loader',
     ]);
   });
+
+  it('opens Civitai links using the preferred host and registers the first-use banner once', async () => {
+    const openSpy = vi.fn();
+    globalThis.window.open = openSpy;
+
+    getStorageItemMock.mockImplementation((key, defaultValue) => {
+      if (key === 'civitai_host_info_banner_seen') {
+        return false;
+      }
+      return defaultValue;
+    });
+
+    const { openCivitaiByMetadata } = await import(UI_HELPERS_MODULE);
+
+    openCivitaiByMetadata(123, 456, 'Demo Model');
+
+    expect(setStorageItemMock).toHaveBeenCalledWith('civitai_host_info_banner_seen', true);
+    expect(registerBannerMock).toHaveBeenCalledTimes(1);
+    expect(openSpy).toHaveBeenCalledWith(
+      'https://civitai.com/models/123?modelVersionId=456',
+      '_blank',
+      'noopener,noreferrer'
+    );
+  });
+
+  it('uses the configured red host for fallback searches', async () => {
+    const openSpy = vi.fn();
+    globalThis.window.open = openSpy;
+
+    getStorageItemMock.mockImplementation((key, defaultValue) => {
+      if (key === 'civitai_host_info_banner_seen') {
+        return true;
+      }
+      return defaultValue;
+    });
+
+    const stateModule = await import(STATE_MODULE);
+    stateModule.state.global = {
+      settings: {
+        civitai_host: 'civitai.red',
+      },
+    };
+
+    const { openCivitaiByMetadata } = await import(UI_HELPERS_MODULE);
+
+    openCivitaiByMetadata(null, null, 'Demo Model');
+
+    expect(registerBannerMock).not.toHaveBeenCalled();
+    expect(openSpy).toHaveBeenCalledWith(
+      'https://civitai.red/models?query=Demo%20Model',
+      '_blank',
+      'noopener,noreferrer'
+    );
+  });
 });

tests/nodes/test_prompt_text_wildcards.py

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

tests/routes/test_misc_routes.py

@@ -94,7 +94,7 @@ class DummyDoctorScanner:
 
 class DummyCivitaiClient:
     def __init__(self, *, success=True, result=None):
-        self.base_url = 'https://civitai.com/api/v1'
+        self.base_url = 'https://civitai.red/api/v1'
         self._success = success
         self._result = result if result is not None else {'items': []}
 
@@ -499,6 +499,38 @@ async def test_open_backup_location_uses_settings_directory(tmp_path, monkeypatc
     assert calls == [["xdg-open", str(backup_dir)]]
 
 
+@pytest.mark.asyncio
+async def test_open_wildcards_location_creates_and_opens_directory(tmp_path, monkeypatch):
+    wildcards_dir = tmp_path / "settings" / "wildcards"
+
+    handler = FileSystemHandler(settings_service=SimpleNamespace(settings_file=str(tmp_path / "settings.json")))
+
+    calls = []
+
+    def fake_popen(args):
+        calls.append(args)
+        return MagicMock()
+
+    monkeypatch.setattr(subprocess, "Popen", fake_popen)
+    monkeypatch.setattr("py.routes.handlers.misc_handlers._is_docker", lambda: False)
+    monkeypatch.setattr("py.routes.handlers.misc_handlers._is_wsl", lambda: False)
+    monkeypatch.setattr(
+        "py.services.wildcard_service.get_wildcards_dir",
+        lambda create=False: str(wildcards_dir.mkdir(parents=True, exist_ok=True) or wildcards_dir)
+        if create
+        else str(wildcards_dir),
+    )
+
+    response = await handler.open_wildcards_location(FakeRequest())
+    payload = json.loads(response.text)
+
+    assert response.status == 200
+    assert payload["success"] is True
+    assert payload["path"] == str(wildcards_dir)
+    assert wildcards_dir.is_dir()
+    assert calls == [["xdg-open", str(wildcards_dir)]]
+
+
 class RecordingRouter:
     def __init__(self):
         self.calls = []

tests/routes/test_recipe_routes.py

@@ -274,7 +274,9 @@ class StubCivitaiClient:
     def __init__(self) -> None:
         self.image_info: Dict[str, Any] = {}
 
-    async def get_image_info(self, image_id: str) -> Optional[Dict[str, Any]]:
+    async def get_image_info(
+        self, image_id: str, source_url: str | None = None
+    ) -> Optional[Dict[str, Any]]:
         return self.image_info.get(image_id)
 
 
@@ -635,6 +637,58 @@ async def test_import_remote_video_recipe(monkeypatch, tmp_path: Path) -> None:
         assert call["extension"] == ".mp4"
 
 
+async def test_import_remote_recipe_supports_civitai_red(monkeypatch, tmp_path: Path) -> None:
+    async def fake_get_default_metadata_provider():
+        return SimpleNamespace(get_model_version_info=lambda id: ({}, None))
+
+    monkeypatch.setattr(
+        "py.recipes.enrichment.get_default_metadata_provider",
+        fake_get_default_metadata_provider,
+    )
+
+    async with recipe_harness(monkeypatch, tmp_path) as harness:
+        harness.civitai.image_info["126920345"] = {
+            "id": 126920345,
+            "url": "https://image.civitai.com/x/y/original=true/sample.jpeg",
+            "type": "image",
+        }
+
+        response = await harness.client.get(
+            "/api/lm/recipes/import-remote",
+            params={
+                "image_url": "https://civitai.red/images/126920345",
+                "name": "Red Recipe",
+                "resources": json.dumps([]),
+                "base_model": "Flux",
+            },
+        )
+
+        payload = await response.json()
+        assert response.status == 200
+        assert payload["success"] is True
+        assert harness.downloader.urls
+        assert "width=450,optimized=true" in harness.downloader.urls[0]
+
+
+async def test_analyze_remote_image_supports_civitai_red(
+    monkeypatch, tmp_path: Path
+) -> None:
+    async with recipe_harness(monkeypatch, tmp_path) as harness:
+        harness.analysis.result = SimpleNamespace(payload={"loras": []}, status=200)
+
+        response = await harness.client.post(
+            "/api/lm/recipes/analyze-image",
+            json={"url": "https://civitai.red/images/126920345"},
+        )
+        payload = await response.json()
+
+        assert response.status == 200
+        assert payload == {"loras": []}
+        assert harness.analysis.remote_calls == [
+            "https://civitai.red/images/126920345"
+        ]
+
+
 async def test_analyze_uploaded_image_error_path(monkeypatch, tmp_path: Path) -> None:
     async with recipe_harness(monkeypatch, tmp_path) as harness:
         harness.analysis.raise_for_uploaded = RecipeValidationError(

tests/routes/test_wildcard_routes.py

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

tests/services/test_base_model_service.py

@@ -886,3 +886,111 @@ async def test_format_response_defaults_update_flag_false(service_cls, extra_fie
 
     assert "update_available" in formatted
     assert formatted["update_available"] is False
+
+
+@pytest.mark.asyncio
+async def test_get_model_civitai_url_uses_default_host():
+    raw_data = [
+        {
+            "file_name": "demo.safetensors",
+            "civitai": {"modelId": 123, "id": 456},
+        }
+    ]
+
+    class CacheStub:
+        def __init__(self, raw_data):
+            self.raw_data = raw_data
+
+    class ScannerStub:
+        def __init__(self, cache):
+            self._cache = cache
+
+        async def get_cached_data(self, *_, **__):
+            return self._cache
+
+    service = DummyService(
+        model_type="stub",
+        scanner=ScannerStub(CacheStub(raw_data)),
+        metadata_class=BaseModelMetadata,
+        settings_provider=StubSettings({}),
+    )
+
+    result = await service.get_model_civitai_url("demo.safetensors")
+
+    assert result == {
+        "civitai_url": "https://civitai.com/models/123?modelVersionId=456",
+        "model_id": "123",
+        "version_id": "456",
+    }
+
+
+@pytest.mark.asyncio
+async def test_get_model_civitai_url_uses_configured_host():
+    raw_data = [
+        {
+            "file_name": "demo.safetensors",
+            "civitai": {"modelId": 123, "id": 456},
+        }
+    ]
+
+    class CacheStub:
+        def __init__(self, raw_data):
+            self.raw_data = raw_data
+
+    class ScannerStub:
+        def __init__(self, cache):
+            self._cache = cache
+
+        async def get_cached_data(self, *_, **__):
+            return self._cache
+
+    service = DummyService(
+        model_type="stub",
+        scanner=ScannerStub(CacheStub(raw_data)),
+        metadata_class=BaseModelMetadata,
+        settings_provider=StubSettings({"civitai_host": "civitai.red"}),
+    )
+
+    result = await service.get_model_civitai_url("demo.safetensors")
+
+    assert result == {
+        "civitai_url": "https://civitai.red/models/123?modelVersionId=456",
+        "model_id": "123",
+        "version_id": "456",
+    }
+
+
+@pytest.mark.asyncio
+async def test_get_model_civitai_url_falls_back_when_host_setting_is_not_a_string():
+    raw_data = [
+        {
+            "file_name": "demo.safetensors",
+            "civitai": {"modelId": 123, "id": 456},
+        }
+    ]
+
+    class CacheStub:
+        def __init__(self, raw_data):
+            self.raw_data = raw_data
+
+    class ScannerStub:
+        def __init__(self, cache):
+            self._cache = cache
+
+        async def get_cached_data(self, *_, **__):
+            return self._cache
+
+    service = DummyService(
+        model_type="stub",
+        scanner=ScannerStub(CacheStub(raw_data)),
+        metadata_class=BaseModelMetadata,
+        settings_provider=StubSettings({"civitai_host": True}),
+    )
+
+    result = await service.get_model_civitai_url("demo.safetensors")
+
+    assert result == {
+        "civitai_url": "https://civitai.com/models/123?modelVersionId=456",
+        "model_id": "123",
+        "version_id": "456",
+    }

tests/services/test_batch_import_service.py

@@ -581,6 +581,7 @@ class TestInputValidation:
         assert service._validate_url("https://example.com/image.png") is True
         assert service._validate_url("http://example.com/image.png") is True
         assert service._validate_url("https://civitai.com/images/123") is True
+        assert service._validate_url("https://civitai.red/images/123") is True
 
     def test_validate_invalid_url(self, service):
         assert service._validate_url("not-a-url") is False

tests/services/test_civitai_client.py

@@ -62,6 +62,12 @@ async def test_download_file_uses_downloader(tmp_path, downloader):
     assert downloader.download_calls[0]["use_auth"] is True
 
 
+async def test_client_defaults_to_red_api_host(downloader):
+    client = await CivitaiClient.get_instance()
+
+    assert client.base_url == "https://civitai.red/api/v1"
+
+
 async def test_get_model_by_hash_enriches_metadata(monkeypatch, downloader):
     version_payload = {
         "modelId": 123,
@@ -530,6 +536,69 @@ async def test_get_image_info_handles_missing(monkeypatch, downloader):
     assert result is None
 
 
+async def test_get_image_info_prefers_red_host_for_red_source(monkeypatch, downloader):
+    requested_urls = []
+
+    async def fake_make_request(method, url, use_auth=True, **kwargs):
+        requested_urls.append(url)
+        return True, {"items": [{"id": 124950237, "name": "target"}]}
+
+    downloader.make_request = fake_make_request
+
+    client = await CivitaiClient.get_instance()
+
+    result = await client.get_image_info(
+        "124950237", source_url="https://civitai.red/images/124950237"
+    )
+
+    assert result == {"id": 124950237, "name": "target"}
+    assert requested_urls == [
+        "https://civitai.red/api/v1/images?imageId=124950237&nsfw=X"
+    ]
+
+
+async def test_get_image_info_uses_red_host_even_for_red_source(monkeypatch, downloader):
+    requested_urls = []
+
+    async def fake_make_request(method, url, use_auth=True, **kwargs):
+        requested_urls.append(url)
+        return True, {"items": [{"id": 124950237, "name": "target"}]}
+
+    downloader.make_request = fake_make_request
+
+    client = await CivitaiClient.get_instance()
+
+    result = await client.get_image_info(
+        "124950237", source_url="https://civitai.red/images/124950237"
+    )
+
+    assert result == {"id": 124950237, "name": "target"}
+    assert requested_urls == [
+        "https://civitai.red/api/v1/images?imageId=124950237&nsfw=X",
+    ]
+
+
+async def test_get_image_info_does_not_fall_back_after_request_failure(monkeypatch, downloader):
+    requested_urls = []
+
+    async def fake_make_request(method, url, use_auth=True, **kwargs):
+        requested_urls.append(url)
+        return False, "403 forbidden"
+
+    downloader.make_request = fake_make_request
+
+    client = await CivitaiClient.get_instance()
+
+    result = await client.get_image_info(
+        "124950237", source_url="https://civitai.red/images/124950237"
+    )
+
+    assert result is None
+    assert requested_urls == [
+        "https://civitai.red/api/v1/images?imageId=124950237&nsfw=X",
+    ]
+
+
 async def test_get_image_info_handles_invalid_id(monkeypatch, downloader, caplog):
     """When given a non-numeric image ID, return None and log error."""
     client = await CivitaiClient.get_instance()

tests/services/test_download_manager_concurrent.py

@@ -7,7 +7,10 @@ from unittest.mock import AsyncMock
 
 import pytest
 
-from py.services.download_manager import DownloadManager
+from py.services.download_manager import (
+    CIVITAI_DOWNLOAD_URL_PREFIXES,
+    DownloadManager,
+)
 from py.services import download_manager
 from py.services.service_registry import ServiceRegistry
 from py.services.settings_manager import SettingsManager, get_settings_manager
@@ -309,6 +312,67 @@ async def test_execute_download_respects_blur_setting(monkeypatch, tmp_path):
     assert stored_preview and stored_preview.endswith(".jpeg")
 
 
+@pytest.mark.asyncio
+async def test_execute_download_uses_auth_for_red_civitai_downloads(monkeypatch, tmp_path):
+    manager = DownloadManager()
+    save_dir = tmp_path / "downloads"
+    save_dir.mkdir()
+    target_path = save_dir / "file.safetensors"
+
+    class DummyMetadata:
+        def __init__(self, path: Path):
+            self.file_path = str(path)
+            self.sha256 = "sha256"
+            self.file_name = path.stem
+            self.preview_url = None
+            self.preview_nsfw_level = None
+
+        def generate_unique_filename(self, *_args, **_kwargs):
+            return os.path.basename(self.file_path)
+
+        def update_file_info(self, _path):
+            return None
+
+        def to_dict(self):
+            return {"file_path": self.file_path}
+
+    metadata = DummyMetadata(target_path)
+    recorded_use_auth = []
+
+    class DummyDownloader:
+        stall_timeout = None
+
+        async def download_file(self, url, path, progress_callback=None, use_auth=None, **_kwargs):
+            recorded_use_auth.append((url, use_auth))
+            Path(path).write_bytes(b"model")
+            return True, None
+
+    monkeypatch.setattr(
+        download_manager, "get_downloader", AsyncMock(return_value=DummyDownloader())
+    )
+    monkeypatch.setattr(MetadataManager, "save_metadata", AsyncMock(return_value=True))
+
+    dummy_scanner = SimpleNamespace(add_model_to_cache=AsyncMock(return_value=None))
+    monkeypatch.setattr(
+        DownloadManager, "_get_lora_scanner", AsyncMock(return_value=dummy_scanner)
+    )
+
+    result = await manager._execute_download(
+        download_urls=["https://civitai.red/api/download/models/119514"],
+        save_dir=str(save_dir),
+        metadata=metadata,
+        version_info={"images": []},
+        relative_path="",
+        progress_callback=None,
+        model_type="lora",
+        download_id=None,
+    )
+
+    assert result == {"success": True}
+    assert recorded_use_auth == [("https://civitai.com/api/download/models/119514", True)]
+    assert "https://civitai.com/api/download/".startswith(CIVITAI_DOWNLOAD_URL_PREFIXES)
+
+
 @pytest.mark.asyncio
 async def test_civarchive_source_uses_civarchive_provider(
     monkeypatch, scanners, tmp_path

tests/services/test_model_lifecycle_service.py

@@ -5,6 +5,7 @@ import pytest
 
 from py.services.model_lifecycle_service import ModelLifecycleService
 from py.utils.metadata_manager import MetadataManager
+from py.utils.models import LoraMetadata
 
 
 class DummyCache:
@@ -445,6 +446,63 @@ async def test_exclude_model_empty_path_raises_error():
         await service.exclude_model("")
 
 
+@pytest.mark.asyncio
+async def test_unexclude_model_restores_cache_entry(tmp_path: Path):
+    """Verify unexclude_model clears exclude metadata and restores cache entry."""
+    model_path = tmp_path / "restored_model.safetensors"
+    model_path.write_bytes(b"content")
+
+    metadata_payload = {
+        "file_name": "restored_model",
+        "model_name": "restored_model",
+        "file_path": str(model_path),
+        "sha256": "abc123",
+        "exclude": True,
+        "tags": ["tag1"],
+    }
+    metadata_path = tmp_path / "restored_model.metadata.json"
+    metadata_path.write_text(json.dumps(metadata_payload))
+
+    class RestoreScanner:
+        def __init__(self):
+            self.model_type = "lora"
+            self.model_class = LoraMetadata
+            self._excluded_models = [str(model_path)]
+            self.updated = []
+
+        async def update_single_model_cache(self, old_path, new_path, metadata, recalculate_type=False):
+            exclude_value = metadata.get("exclude") if isinstance(metadata, dict) else metadata.exclude
+            self.updated.append((old_path, new_path, exclude_value, recalculate_type))
+
+    saved_metadata = []
+
+    class SavingMetadataManager:
+        async def save_metadata(self, path: str, metadata: dict):
+            saved_metadata.append((path, metadata.copy()))
+            await MetadataManager.save_metadata(path, metadata)
+
+    async def metadata_loader(path: str):
+        with open(path, "r", encoding="utf-8") as handle:
+            return json.load(handle)
+
+    scanner = RestoreScanner()
+    service = ModelLifecycleService(
+        scanner=scanner,
+        metadata_manager=SavingMetadataManager(),
+        metadata_loader=metadata_loader,
+    )
+
+    result = await service.unexclude_model(str(model_path))
+
+    assert result["success"] is True
+    assert "restored" in result["message"].lower()
+    assert scanner._excluded_models == []
+    assert saved_metadata[0][1]["exclude"] is False
+    assert scanner.updated == [
+        (str(model_path), str(model_path), False, True)
+    ]
+
+
 # =============================================================================
 # Tests for bulk_delete_models functionality
 # =============================================================================

tests/services/test_recipe_repair.py

@@ -6,7 +6,7 @@ from types import SimpleNamespace
 
 # We define these here to help with spec= if needed
 class MockCivitaiClient:
-    async def get_image_info(self, image_id):
+    async def get_image_info(self, image_id, source_url=None):
         pass
 
 class MockPersistenceService:
@@ -119,6 +119,50 @@ async def test_repair_all_recipes_with_enriched_checkpoint_id(setup_scanner):
     assert "hash" not in checkpoint
     assert "file_name" not in checkpoint
 
+
+@pytest.mark.asyncio
+async def test_repair_all_recipes_supports_civitai_red_source_url(setup_scanner):
+    recipe_scanner, mock_civitai_client, mock_metadata_provider = setup_scanner
+
+    recipe = {
+        "id": "r1",
+        "title": "Red Recipe",
+        "source_url": "https://civitai.red/images/12345",
+        "checkpoint": None,
+        "gen_params": {"prompt": ""},
+    }
+    recipe_scanner._cache = SimpleNamespace(raw_data=[recipe])
+
+    mock_civitai_client.get_image_info.return_value = {
+        "modelVersionId": 5678,
+        "meta": {"prompt": "from red"},
+    }
+    mock_metadata_provider.get_model_version_info.return_value = (
+        {
+            "id": 5678,
+            "modelId": 1234,
+            "name": "v1.0",
+            "model": {"name": "Full Model Name"},
+            "baseModel": "SDXL 1.0",
+            "images": [{"url": "https://image.url/thumb.jpg"}],
+            "files": [
+                {
+                    "type": "Model",
+                    "hashes": {"SHA256": "ABCDEF"},
+                    "name": "full_filename.safetensors",
+                }
+            ],
+        },
+        None,
+    )
+
+    results = await recipe_scanner.repair_all_recipes()
+
+    assert results["repaired"] == 1
+    mock_civitai_client.get_image_info.assert_called_with(
+        "12345", source_url="https://civitai.red/images/12345"
+    )
+
 @pytest.mark.asyncio
 async def test_repair_all_recipes_with_enriched_checkpoint_hash(setup_scanner):
     recipe_scanner, mock_civitai_client, mock_metadata_provider = setup_scanner

tests/services/test_recipe_services.py

@@ -678,7 +678,7 @@ async def test_analyze_remote_video(tmp_path):
     )
 
     class DummyClient:
-        async def get_image_info(self, image_id):
+        async def get_image_info(self, image_id, source_url=None):
             return {
                 "url": "https://civitai.com/video.mp4",
                 "type": "video",
@@ -698,3 +698,60 @@ async def test_analyze_remote_video(tmp_path):
     assert result.payload["is_video"] is True
     assert result.payload["extension"] == ".mp4"
     assert result.payload["image_base64"] is not None
+
+
+@pytest.mark.asyncio
+async def test_analyze_remote_image_supports_civitai_red():
+    exif_utils = DummyExifUtils()
+
+    class DummyFactory:
+        def create_parser(self, metadata):
+            async def parse_metadata(m, recipe_scanner=None, civitai_client=None):
+                return {"loras": [], "gen_params": {"prompt": "red prompt"}}
+
+            return SimpleNamespace(parse_metadata=parse_metadata)
+
+    async def downloader_factory():
+        class Downloader:
+            async def download_file(self, url, path, use_auth=False):
+                Path(path).write_bytes(b"fake-image")
+                return True, "success"
+
+        return Downloader()
+
+    service = RecipeAnalysisService(
+        exif_utils=exif_utils,
+        recipe_parser_factory=DummyFactory(),
+        downloader_factory=downloader_factory,
+        metadata_collector=None,
+        metadata_processor_cls=None,
+        metadata_registry_cls=None,
+        standalone_mode=False,
+        logger=logging.getLogger("test"),
+    )
+
+    class DummyClient:
+        def __init__(self):
+            self.calls = []
+
+        async def get_image_info(self, image_id, source_url=None):
+            self.calls.append((image_id, source_url))
+            return {
+                "url": "https://image.civitai.com/x/y/original=true/sample.jpeg",
+                "type": "image",
+                "meta": {"prompt": "red prompt"},
+            }
+
+    class DummyScanner:
+        async def find_recipes_by_fingerprint(self, fingerprint):
+            return []
+
+    client = DummyClient()
+    result = await service.analyze_remote_image(
+        url="https://civitai.red/images/123",
+        recipe_scanner=DummyScanner(),
+        civitai_client=client,
+    )
+
+    assert client.calls == [("123", "https://civitai.red/images/123")]
+    assert result.payload["loras"] == []

tests/services/test_wildcard_service.py

@@ -0,0 +1,141 @@
+from __future__ import annotations
+
+import json
+
+from py.services.wildcard_service import WildcardService, contains_dynamic_syntax
+
+
+def _make_service(monkeypatch, tmp_path):
+    settings_dir = tmp_path / "settings"
+    settings_dir.mkdir()
+    monkeypatch.setattr(
+        "py.services.wildcard_service.get_settings_dir",
+        lambda create=True: str(settings_dir),
+    )
+    service = WildcardService()
+    service._cached_signature = None
+    service._wildcard_dict = {}
+    return service, settings_dir / "wildcards"
+
+
+def test_search_keys_returns_empty_when_directory_missing(monkeypatch, tmp_path):
+    service, _wildcards_dir = _make_service(monkeypatch, tmp_path)
+
+    assert service.search_keys("cat") == []
+
+
+def test_search_keys_loads_txt_yaml_and_json(monkeypatch, tmp_path):
+    service, wildcards_dir = _make_service(monkeypatch, tmp_path)
+    wildcards_dir.mkdir()
+
+    (wildcards_dir / "animals").mkdir()
+    (wildcards_dir / "animals" / "cat.txt").write_text("tabby\nblack cat\n", encoding="utf-8")
+    (wildcards_dir / "colors.yaml").write_text(
+        "palette:\n  warm:\n    - red\n    - orange\n",
+        encoding="utf-8",
+    )
+    (wildcards_dir / "artists.json").write_text(
+        json.dumps({"illustrators/digital": ["alice", "bob"]}),
+        encoding="utf-8",
+    )
+
+    assert service.search_keys("cat") == ["animals/cat"]
+    assert service.search_keys("warm") == ["palette/warm"]
+    assert service.search_keys("digital") == ["illustrators/digital"]
+
+
+def test_search_keys_prefers_exact_and_prefix_matches(monkeypatch, tmp_path):
+    service, wildcards_dir = _make_service(monkeypatch, tmp_path)
+    wildcards_dir.mkdir()
+
+    (wildcards_dir / "animals").mkdir()
+    (wildcards_dir / "animals" / "cat.txt").write_text("tabby\n", encoding="utf-8")
+    (wildcards_dir / "animals" / "catgirl.txt").write_text("heroine\n", encoding="utf-8")
+    (wildcards_dir / "fantasy_cat.txt").write_text("beast\n", encoding="utf-8")
+
+    results = service.search_keys("cat")
+
+    assert results == ["animals/cat", "animals/catgirl", "fantasy_cat"]
+
+
+def test_search_keys_supports_offset_and_limit(monkeypatch, tmp_path):
+    service, wildcards_dir = _make_service(monkeypatch, tmp_path)
+    wildcards_dir.mkdir()
+
+    for name in ("cat", "catgirl", "catmaid"):
+        (wildcards_dir / f"{name}.txt").write_text("x\n", encoding="utf-8")
+
+    assert service.search_keys("cat", limit=1, offset=1) == ["catgirl"]
+
+
+def test_get_metadata_creates_directory_and_reports_formats(monkeypatch, tmp_path):
+    service, wildcards_dir = _make_service(monkeypatch, tmp_path)
+
+    metadata = service.get_metadata(create_dir=True)
+
+    assert metadata.has_wildcards is False
+    assert metadata.wildcards_dir == str(wildcards_dir)
+    assert metadata.supported_formats == (".txt", ".yaml", ".yml", ".json")
+    assert wildcards_dir.is_dir()
+
+
+def test_expand_text_resolves_nested_wildcards(monkeypatch, tmp_path):
+    service, wildcards_dir = _make_service(monkeypatch, tmp_path)
+    wildcards_dir.mkdir()
+
+    (wildcards_dir / "flower.txt").write_text("rose\n__color__ lily\n", encoding="utf-8")
+    (wildcards_dir / "color.txt").write_text("red\nblue\n", encoding="utf-8")
+
+    expanded = service.expand_text("__flower__", seed=7)
+
+    assert expanded in {"rose", "red lily", "blue lily"}
+    assert "__" not in expanded
+
+
+def test_expand_text_resolves_dynamic_prompt_and_multi_select(monkeypatch, tmp_path):
+    service, wildcards_dir = _make_service(monkeypatch, tmp_path)
+    wildcards_dir.mkdir()
+
+    expanded = service.expand_text("{2$$, $$red|blue|green}", seed=3)
+
+    assert expanded.count(", ") == 1
+    assert set(expanded.split(", ")).issubset({"red", "blue", "green"})
+
+
+def test_expand_text_resolves_wildcard_glob(monkeypatch, tmp_path):
+    service, wildcards_dir = _make_service(monkeypatch, tmp_path)
+    wildcards_dir.mkdir()
+
+    (wildcards_dir / "animals").mkdir()
+    (wildcards_dir / "animals" / "cat.txt").write_text("tabby\n", encoding="utf-8")
+    (wildcards_dir / "animals" / "dog.txt").write_text("retriever\n", encoding="utf-8")
+
+    expanded = service.expand_text("__animals/*__", seed=1)
+
+    assert expanded in {"tabby", "retriever"}
+
+
+def test_expand_text_is_deterministic_with_seed(monkeypatch, tmp_path):
+    service, wildcards_dir = _make_service(monkeypatch, tmp_path)
+    wildcards_dir.mkdir()
+
+    (wildcards_dir / "color.txt").write_text("red\nblue\ngreen\n", encoding="utf-8")
+
+    first = service.expand_text("__color__", seed=123)
+    second = service.expand_text("__color__", seed=123)
+
+    assert first == second
+
+
+def test_expand_text_leaves_unresolved_reference_visible(monkeypatch, tmp_path):
+    service, wildcards_dir = _make_service(monkeypatch, tmp_path)
+    wildcards_dir.mkdir()
+
+    assert service.expand_text("__missing__", seed=1) == "__missing__"
+
+
+def test_contains_dynamic_syntax_detects_wildcards_and_options():
+    assert contains_dynamic_syntax("plain text") is False
+    assert contains_dynamic_syntax("__flower__") is True
+    assert contains_dynamic_syntax("{red|blue}") is True
+    assert contains_dynamic_syntax("{2$$, $$red|blue|green}") is True

tests/test_custom_words_service.py

@@ -94,6 +94,19 @@ class TestCustomWordsService:
         results = service.search_words("test")
         assert mock_tag_index.called
 
+    def test_search_words_skips_prompt_like_queries(self):
+        service = CustomWordsService.__new__(CustomWordsService)
+        mock_tag_index = MockTagFTSIndex()
+
+        def mock_get_index():
+            return mock_tag_index
+
+        service._get_tag_index = mock_get_index
+
+        results = service.search_words("__flower__ /character f")
+
+        assert results == []
+        assert mock_tag_index.called is False
 
 class MockTagFTSIndex:
     """Mock TagFTSIndex for testing."""

tests/test_tag_fts_index.py

@@ -1,6 +1,7 @@
 """Tests for TagFTSIndex functionality."""
 
 import os
+import sqlite3
 import tempfile
 from typing import List
 
@@ -173,6 +174,40 @@ class TestTagFTSIndexSearch:
         assert len(results) >= 1
         assert all(r["category"] in [4, 11] for r in results)
 
+    def test_search_with_category_filter_uses_fts_first_plan(self, populated_fts):
+        """Category-filtered searches should start from FTS hits, not category scans."""
+        sql, params = populated_fts._build_search_statement(
+            query_lower="f",
+            fts_query="f*",
+            categories=[4, 11],
+            limit=20,
+            offset=0,
+        )
+
+        conn = sqlite3.connect(f"file:{populated_fts.get_database_path()}?mode=ro", uri=True)
+        try:
+            plan_rows = conn.execute(f"EXPLAIN QUERY PLAN {sql}", params).fetchall()
+        finally:
+            conn.close()
+
+        plan_details = [row[3] for row in plan_rows]
+        assert any(detail.startswith("SCAN tag_fts VIRTUAL TABLE INDEX") for detail in plan_details)
+        assert any("SEARCH t USING INTEGER PRIMARY KEY" in detail for detail in plan_details)
+        assert not any("SEARCH t USING INDEX idx_tags_category" in detail for detail in plan_details)
+
+    def test_search_statement_uses_post_count_as_tie_breaker(self, populated_fts):
+        """Search ranking should use popularity as a secondary sort key."""
+        sql, _ = populated_fts._build_search_statement(
+            query_lower="f",
+            fts_query="f*",
+            categories=[4, 11],
+            limit=20,
+            offset=0,
+        )
+
+        assert "ORDER BY is_tag_name_match DESC, t.post_count DESC, rank_score DESC" in sql
+        assert "LOG10" not in sql
+
     def test_search_with_category_filter_excludes_others(self, populated_fts):
         """Test that category filter excludes other categories."""
         # Search for "hi" but only in general category

tests/utils/test_civitai_utils.py

@@ -1,4 +1,12 @@
-from py.utils.civitai_utils import build_license_flags, resolve_license_info, resolve_license_payload
+from py.utils.civitai_utils import (
+    build_license_flags,
+    extract_civitai_image_id,
+    extract_civitai_model_url_parts,
+    is_supported_civitai_page_host,
+    normalize_civitai_download_url,
+    resolve_license_info,
+    resolve_license_payload,
+)
 
 
 def test_resolve_license_payload_defaults():
@@ -78,3 +86,61 @@ def test_build_license_flags_parses_aggregate_inside_list():
     flags = build_license_flags(source)
     expected_flags = (1 << 0) | (7 << 1) | (1 << 5)
     assert flags == expected_flags
+
+
+def test_supported_civitai_page_hosts_include_red():
+    assert is_supported_civitai_page_host("civitai.com") is True
+    assert is_supported_civitai_page_host("civitai.red") is True
+    assert is_supported_civitai_page_host("www.civitai.com") is False
+    assert is_supported_civitai_page_host("www.civitai.red") is False
+    assert is_supported_civitai_page_host("example.com") is False
+
+
+def test_extract_civitai_model_url_parts_supports_red():
+    model_id, version_id = extract_civitai_model_url_parts(
+        "https://civitai.red/models/65423/nijimecha-artstyle?modelVersionId=777"
+    )
+
+    assert model_id == "65423"
+    assert version_id == "777"
+
+
+def test_extract_civitai_model_url_parts_rejects_non_civitai_host():
+    model_id, version_id = extract_civitai_model_url_parts(
+        "https://example.com/models/65423?modelVersionId=777"
+    )
+
+    assert model_id is None
+    assert version_id is None
+
+
+def test_extract_civitai_image_id_supports_red():
+    assert (
+        extract_civitai_image_id("https://civitai.red/images/126920345")
+        == "126920345"
+    )
+
+
+def test_extract_civitai_image_id_rejects_non_civitai_host():
+    assert extract_civitai_image_id("https://example.com/images/126920345") is None
+
+
+def test_normalize_civitai_download_url_rewrites_red_to_com():
+    url = "https://civitai.red/api/download/models/2786889?type=Model&format=SafeTensor"
+
+    assert (
+        normalize_civitai_download_url(url)
+        == "https://civitai.com/api/download/models/2786889?type=Model&format=SafeTensor"
+    )
+
+
+def test_normalize_civitai_download_url_keeps_non_download_red_urls():
+    url = "https://civitai.red/models/65423/nijimecha-artstyle?modelVersionId=777"
+
+    assert normalize_civitai_download_url(url) == url
+
+
+def test_normalize_civitai_download_url_keeps_existing_com_urls():
+    url = "https://civitai.com/api/download/models/2786889?type=Model&format=SafeTensor"
+
+    assert normalize_civitai_download_url(url) == url

vue-widgets/src/main.ts

@@ -425,7 +425,7 @@ function shouldBypassAutocompleteWidgetMigration(
   }
 
   const originalWidgetsInputs = Object.values(inputDefs).filter((input: any) =>
-    widgetNames.has(input.name) || input.forceInput
+    widgetNames.has(input.name)
   )
 
   const widgetIndexHasForceInput = originalWidgetsInputs.flatMap((input: any) =>

web/comfyui/autocomplete.js

@@ -1,6 +1,15 @@
 import { api } from "../../scripts/api.js";
 import { app } from "../../scripts/app.js";
 import { TextAreaCaretHelper } from "./textarea_caret_helper.js";
+import {
+    WILDCARD_COMMANDS,
+    createWildcardEmptyStateItem,
+    createWildcardNoMatchesItem,
+    getWildcardInsertText,
+    getWildcardSearchEndpoint,
+    isWildcardCommand,
+    isWildcardInfoItem,
+} from "./autocomplete_wildcards.js";
 import {
     getAutocompleteAppendCommaPreference,
     getAutocompleteAutoFormatPreference,
@@ -13,7 +22,6 @@ import { showToast } from "./utils.js";
 // Command definitions for category filtering
 const TAG_COMMANDS = {
     '/character': { categories: [4, 11], label: 'Character' },
-    '/char': { categories: [4, 11], label: 'Character' },
     '/artist': { categories: [1, 8], label: 'Artist' },
     '/general': { categories: [0, 7], label: 'General' },
     '/copyright': { categories: [3, 10], label: 'Copyright' },
@@ -22,6 +30,7 @@ const TAG_COMMANDS = {
     '/lore': { categories: [15], label: 'Lore' },
     '/emb': { type: 'embedding', label: 'Embeddings' },
     '/embedding': { type: 'embedding', label: 'Embeddings' },
+    ...WILDCARD_COMMANDS,
     // Autocomplete toggle commands - only show one based on current state
     '/ac': {
         type: 'toggle_setting',
@@ -314,6 +323,8 @@ const MODEL_BEHAVIORS = {
                 const trimmedName = removeGeneralExtension(fileName);
                 const folder = directories.length ? `${directories.join('/')}/` : '';
                 return formatAutocompleteInsertion(`embedding:${folder}${trimmedName}`);
+            } else if (instance.searchType === 'wildcards' || isWildcardCommand(instance.activeCommand)) {
+                return formatAutocompleteInsertion(getWildcardInsertText(relativePath));
             } else {
                 let tagText = relativePath;
 
@@ -350,13 +361,16 @@ class AutoComplete {
 
         this.dropdown = null;
         this.selectedIndex = -1;
+        this.hasManualSelection = false;
         this.items = [];
         this.debounceTimer = null;
         this.isVisible = false;
         this.currentSearchTerm = '';
+        this.wildcardMeta = null;
         this.previewTooltip = null;
         this.previewTooltipPromise = null;
         this.searchType = null;
+        this.suppressAutocompleteOnce = false;
 
         // Virtual scrolling state
         this.virtualScrollOffset = 0;
@@ -496,6 +510,11 @@ class AutoComplete {
     bindEvents() {
         // Handle input changes
         this.onInput = (e) => {
+            if (this.suppressAutocompleteOnce) {
+                this.suppressAutocompleteOnce = false;
+                this.hide();
+                return;
+            }
             this.handleInput(e.target.value);
         };
         this.inputElement.addEventListener('input', this.onInput);
@@ -512,6 +531,7 @@ class AutoComplete {
                 const formattedValue = formatAutocompleteTextOnBlur(this.inputElement.value);
                 if (formattedValue !== this.inputElement.value) {
                     this.inputElement.value = formattedValue;
+                    this.suppressAutocompleteOnce = true;
                     this.inputElement.dispatchEvent(new Event('input', { bubbles: true }));
                 }
             }
@@ -658,6 +678,9 @@ class AutoComplete {
                         // /emb or /embedding command
                         endpoint = '/lm/embeddings/relative-paths';
                         this.searchType = 'embeddings';
+                    } else if (isWildcardCommand(commandResult.command)) {
+                        endpoint = getWildcardSearchEndpoint();
+                        this.searchType = 'wildcards';
                     } else {
                         // Category filter command
                         const categories = commandResult.command.categories.join(',');
@@ -684,7 +707,12 @@ class AutoComplete {
             }
         }
 
-        if (searchTerm.length < this.options.minChars) {
+        const allowEmptyWildcardSearch =
+            this.modelType === 'prompt' &&
+            this.searchType === 'wildcards' &&
+            searchTerm.length === 0;
+
+        if (!allowEmptyWildcardSearch && searchTerm.length < this.options.minChars) {
             this.hide();
             return;
         }
@@ -713,9 +741,24 @@ class AutoComplete {
         }
 
         const rawText = beforeCursor.substring(start);
-        const text = rawText.trim();
         const leadingWhitespaceLength = rawText.length - rawText.trimStart().length;
         const trimmedStart = start + leadingWhitespaceLength;
+        const text = rawText.trim();
+
+        if (this.modelType === 'prompt') {
+            const tokenRange = this._getPromptTokenRange(rawText, trimmedStart, caretPos);
+            if (tokenRange) {
+                return {
+                    start: tokenRange.start,
+                    trimmedStart: tokenRange.trimmedStart,
+                    end: caretPos,
+                    beforeCursor,
+                    rawText: tokenRange.rawText,
+                    text: tokenRange.text,
+                    tokenType: tokenRange.tokenType,
+                };
+            }
+        }
 
         return {
             start,
@@ -727,6 +770,73 @@ class AutoComplete {
         };
     }
 
+    _getPromptTokenRange(rawText = '', trimmedStart = 0, caretPos = 0) {
+        const trimmedText = rawText.trim();
+        if (!trimmedText) {
+            return {
+                start: trimmedStart,
+                trimmedStart,
+                rawText: '',
+                text: '',
+                tokenType: 'empty',
+            };
+        }
+
+        const commandOffset = trimmedText.startsWith('/')
+            ? 0
+            : trimmedText.lastIndexOf(' /');
+        if (commandOffset !== -1) {
+            const normalizedCommandOffset = commandOffset === 0 ? 0 : commandOffset + 1;
+            const commandText = trimmedText.slice(normalizedCommandOffset);
+            const commandStart = trimmedStart + normalizedCommandOffset;
+            return {
+                start: commandStart,
+                trimmedStart: commandStart,
+                rawText: commandText,
+                text: commandText,
+                tokenType: commandText === '/' ? 'empty_command_trigger' : 'command',
+            };
+        }
+
+        const wildcardMatch = trimmedText.match(/(?:^|\s)(__[\w\s.\-+/*\\]+?__)$/);
+        if (wildcardMatch) {
+            const wildcardText = wildcardMatch[1];
+            const wildcardOffset = trimmedText.lastIndexOf(wildcardText);
+            const wildcardStart = trimmedStart + wildcardOffset;
+            return {
+                start: wildcardStart,
+                trimmedStart: wildcardStart,
+                rawText: wildcardText,
+                text: '',
+                tokenType: 'wildcard_literal',
+            };
+        }
+
+        const embeddingOffset = trimmedText.search(/(?:^|\s)emb:[^\s]*$/i);
+        if (embeddingOffset !== -1) {
+            const normalizedEmbeddingOffset = trimmedText.slice(embeddingOffset).startsWith(' ')
+                ? embeddingOffset + 1
+                : embeddingOffset;
+            const embeddingText = trimmedText.slice(normalizedEmbeddingOffset);
+            const embeddingStart = trimmedStart + normalizedEmbeddingOffset;
+            return {
+                start: embeddingStart,
+                trimmedStart: embeddingStart,
+                rawText: embeddingText,
+                text: embeddingText,
+                tokenType: 'embedding_literal',
+            };
+        }
+
+        return {
+            start: trimmedStart,
+            trimmedStart,
+            rawText,
+            text: trimmedText,
+            tokenType: 'tag_text',
+        };
+    }
+
     _getHardBoundaryStart(beforeCursor = '') {
         const lastComma = beforeCursor.lastIndexOf(',');
         const lastAngle = beforeCursor.lastIndexOf('>');
@@ -878,12 +988,50 @@ class AutoComplete {
         return Array.from(variations).filter(v => v.length >= this.options.minChars);
     }
 
+    _normalizeQueryForRequest(term = '') {
+        return term.trim().toLowerCase();
+    }
+
+    _getQueriesToExecute(term = '') {
+        const queryVariations = this._generateQueryVariations(term);
+        const uniqueQueries = [];
+        const seen = new Set();
+
+        for (const query of queryVariations) {
+            const normalized = this._normalizeQueryForRequest(query);
+            if (!normalized || seen.has(normalized)) {
+                continue;
+            }
+
+            seen.add(normalized);
+            uniqueQueries.push(query);
+
+            if (uniqueQueries.length >= 4) {
+                break;
+            }
+        }
+
+        return uniqueQueries;
+    }
+
+    _containsInformationalItems() {
+        return this.items.some((item) => isWildcardInfoItem(item));
+    }
+
+    _isSelectableInfoItem(item) {
+        return isWildcardInfoItem(item);
+    }
+
     /**
      * Get display text for an item (without extension for models)
      * @param {string|Object} item - Item to get display text from
      * @returns {string} - Display text without extension
      */
     _getDisplayText(item) {
+        if (isWildcardInfoItem(item)) {
+            return item.title || item.description || 'Wildcards';
+        }
+
         const itemText = typeof item === 'object' && item.tag_name ? item.tag_name : String(item);
         // Remove extension for models to avoid matching/displaying .safetensors etc.
         if (this.modelType === 'loras' || this.searchType === 'embeddings') {
@@ -1013,6 +1161,14 @@ class AutoComplete {
         return 0;
     }
 
+    _getAcceptSelectionIndex(searchTerm = '') {
+        if (this.hasManualSelection && this.selectedIndex >= 0 && this.selectedIndex < this.items.length) {
+            return this.selectedIndex;
+        }
+
+        return this._getPreferredSelectedIndex(searchTerm);
+    }
+
     async search(term = '', endpoint = null) {
         try {
             this.currentSearchTerm = term;
@@ -1024,23 +1180,26 @@ class AutoComplete {
             // This is critical for preventing command suggestions from persisting
             // when switching from command mode to regular tag search
             this.items = [];
+            this.wildcardMeta = null;
 
             if (!endpoint) {
                 endpoint = `/lm/${this.modelType}/relative-paths`;
             }
 
-            // Generate multiple query variations for better matching
-            const queryVariations = this._generateQueryVariations(term);
+            // Generate multiple query variations for better matching, but avoid
+            // sending duplicate-equivalent requests that normalize to the same
+            // backend search term.
+            const queriesToExecute =
+                this.searchType === 'wildcards' && term.length === 0
+                    ? ['']
+                    : this._getQueriesToExecute(term);
 
-            if (queryVariations.length === 0) {
+            if (queriesToExecute.length === 0) {
                 this.items = [];
                 this.hide();
                 return;
             }
 
-            // Limit the number of parallel queries to avoid overwhelming the server
-            const queriesToExecute = queryVariations.slice(0, 4);
-
             // Execute all queries in parallel
             const searchPromises = queriesToExecute.map(async (query) => {
                 const url = endpoint.includes('?')
@@ -1050,10 +1209,16 @@ class AutoComplete {
                 try {
                     const response = await api.fetchApi(url);
                     const data = await response.json();
-                    return data.success ? (data.relative_paths || data.words || []) : [];
+                    return {
+                        items: data.success ? (data.relative_paths || data.words || []) : [],
+                        meta: data?.meta || null,
+                    };
                 } catch (error) {
                     console.warn(`Search query failed for "${query}":`, error);
-                    return [];
+                    return {
+                        items: [],
+                        meta: null,
+                    };
                 }
             });
 
@@ -1071,7 +1236,12 @@ class AutoComplete {
             const seen = new Set();
             const mergedItems = [];
 
-            for (const resultArray of resultsArrays) {
+            for (const result of resultsArrays) {
+                if (!this.wildcardMeta && result?.meta) {
+                    this.wildcardMeta = result.meta;
+                }
+
+                const resultArray = result?.items || [];
                 for (const item of resultArray) {
                     const itemKey = typeof item === 'object' && item.tag_name
                         ? item.tag_name.toLowerCase()
@@ -1084,6 +1254,17 @@ class AutoComplete {
                 }
             }
 
+            if (this.searchType === 'wildcards' && mergedItems.length === 0) {
+                const meta = this.wildcardMeta || {};
+                this.items = meta.has_wildcards
+                    ? [createWildcardNoMatchesItem(term, meta)]
+                    : [createWildcardEmptyStateItem(meta)];
+                this.hasMoreItems = false;
+                this.render();
+                this.show();
+                return;
+            }
+
             // Use backend-sorted results directly without re-scoring
             // Backend already ranks by: FTS5 bm25 score + post count + exact prefix boost
             if (mergedItems.length > 0) {
@@ -1144,7 +1325,7 @@ class AutoComplete {
             };
         }
 
-        // Command with search term (e.g., "/char miku")
+        // Command with search term (e.g., "/character miku")
         const commandPart = trimmed.slice(0, spaceIndex).toLowerCase();
         const searchPart = trimmed.slice(spaceIndex + 1).trim();
 
@@ -1178,20 +1359,15 @@ class AutoComplete {
         
         const filterLower = filter.toLowerCase();
 
-        // Get unique commands (avoid duplicates like /char and /character)
-        const seenLabels = new Set();
         const commands = [];
 
         for (const [cmd, info] of Object.entries(TAG_COMMANDS)) {
-            if (seenLabels.has(info.label)) continue;
-
             // Filter out toggle commands that don't meet their condition
             if (info.type === 'toggle_setting' && info.condition) {
                 if (!info.condition()) continue;
             }
 
             if (!filter || cmd.slice(1).startsWith(filterLower)) {
-                seenLabels.add(info.label);
                 commands.push({ command: cmd, ...info });
             }
         }
@@ -1219,6 +1395,7 @@ class AutoComplete {
             this.dropdown.innerHTML = '';
         }
         this.selectedIndex = -1;
+        this.hasManualSelection = false;
 
         this.items.forEach((item, index) => {
             const itemEl = document.createElement('div');
@@ -1254,7 +1431,7 @@ class AutoComplete {
             `;
 
             itemEl.addEventListener('mouseenter', () => {
-                this.selectItem(index);
+                this.selectItem(index, { manual: true });
             });
 
             itemEl.addEventListener('click', () => {
@@ -1276,8 +1453,17 @@ class AutoComplete {
         }
 
         // Auto-select immediately so accept keys remain stable.
+        // In virtual-scroll mode, calling selectItem() before the dropdown is
+        // visible can see a zero-height container and incorrectly replace the
+        // full command list with a partially virtualized slice.
         if (this.items.length > 0) {
-            this.selectItem(0);
+            this.selectedIndex = 0;
+            this.hasManualSelection = false;
+            if (this.contentContainer) {
+                this._applyItemSelection(0);
+            } else {
+                this.selectItem(0);
+            }
         }
         
         // Update virtual scroll height for virtual scrolling mode
@@ -1288,7 +1474,7 @@ class AutoComplete {
 
     /**
      * Insert a command into the input
-     * @param {string} command - The command to insert (e.g., "/char")
+     * @param {string} command - The command to insert (e.g., "/character")
      */
     _insertCommand(command) {
         const currentValue = this.inputElement.value;
@@ -1315,6 +1501,7 @@ class AutoComplete {
 
     render() {
         this.selectedIndex = -1;
+        this.hasManualSelection = false;
 
         // Reset virtual scroll state
         this.virtualScrollOffset = 0;
@@ -1346,91 +1533,7 @@ class AutoComplete {
             const isCommand = this.items[0] && typeof this.items[0] === 'object' && 'command' in this.items[0];
 
             this.items.forEach((itemData, index) => {
-                const item = document.createElement('div');
-                item.className = 'comfy-autocomplete-item';
-
-                if (isCommand) {
-                    // Render command item
-                    const cmdSpan = document.createElement('span');
-                    cmdSpan.className = 'lm-autocomplete-command-name';
-                    cmdSpan.textContent = itemData.command;
-
-                    const labelSpan = document.createElement('span');
-                    labelSpan.className = 'lm-autocomplete-command-label';
-                    labelSpan.textContent = itemData.label;
-
-                    item.appendChild(cmdSpan);
-                    item.appendChild(labelSpan);
-                    item.style.cssText = `
-                        padding: 8px 12px;
-                        cursor: pointer;
-                        color: rgba(226, 232, 240, 0.8);
-                        border-bottom: 1px solid rgba(226, 232, 240, 0.1);
-                        transition: all 0.2s ease;
-                        white-space: nowrap;
-                        overflow: hidden;
-                        text-overflow: ellipsis;
-                        display: flex;
-                        justify-content: space-between;
-                        align-items: center;
-                        gap: 12px;
-                    `;
-                } else if (isEnriched) {
-                    // Render enriched item with category badge and post count
-                    this._renderEnrichedItem(item, itemData, this.currentSearchTerm);
-                } else {
-                    // Create highlighted content for simple items, wrapped in a span
-                    // to prevent flex layout from breaking up the text
-                    const nameSpan = document.createElement('span');
-                    nameSpan.className = 'lm-autocomplete-name';
-                    // Use display text without extension for cleaner UI
-                    const displayTextWithoutExt = this._getDisplayText(itemData);
-                    nameSpan.innerHTML = this.highlightMatch(displayTextWithoutExt, this.currentSearchTerm);
-                    nameSpan.style.cssText = `
-                        flex: 1;
-                        min-width: 0;
-                        overflow: hidden;
-                        text-overflow: ellipsis;
-                    `;
-                    item.appendChild(nameSpan);
-                    
-                    // Apply item styles with new color scheme
-                    item.style.cssText = `
-                        padding: 8px 12px;
-                        cursor: pointer;
-                        color: rgba(226, 232, 240, 0.8);
-                        border-bottom: 1px solid rgba(226, 232, 240, 0.1);
-                        transition: all 0.2s ease;
-                        white-space: nowrap;
-                        overflow: hidden;
-                        text-overflow: ellipsis;
-                        position: relative;
-                        display: flex;
-                        justify-content: space-between;
-                        align-items: center;
-                        gap: 8px;
-                    `;
-                }
-
-                // Hover and selection handlers
-                item.addEventListener('mouseenter', () => {
-                    this.selectItem(index);
-                });
-
-                item.addEventListener('mouseleave', () => {
-                    this.hidePreview();
-                });
-
-                // Click handler
-                item.addEventListener('click', () => {
-                    if (isCommand) {
-                        this._insertCommand(itemData.command);
-                    } else {
-                        const insertPath = isEnriched ? itemData.tag_name : itemData;
-                        this.insertSelection(insertPath);
-                    }
-                });
-
+                const item = this.createItemElement(itemData, index, isEnriched, isCommand);
                 this.dropdown.appendChild(item);
             });
 
@@ -1524,6 +1627,124 @@ class AutoComplete {
         itemEl.appendChild(nameSpan);
         itemEl.appendChild(metaSpan);
     }
+
+    _renderInformationalItem(itemEl, itemData) {
+        itemEl.classList.add('comfy-autocomplete-info-item');
+        itemEl.style.cssText = `
+            padding: 12px;
+            color: rgba(226, 232, 240, 0.88);
+            border-bottom: none;
+            cursor: default;
+            display: block;
+            white-space: normal;
+            height: auto;
+        `;
+
+        const title = document.createElement('div');
+        title.className = 'lm-autocomplete-info-title';
+        title.textContent = itemData.title || 'Wildcards';
+        title.style.cssText = `
+            font-size: 13px;
+            font-weight: 600;
+            margin-bottom: 6px;
+        `;
+        itemEl.appendChild(title);
+
+        const description = document.createElement('div');
+        description.className = 'lm-autocomplete-info-description';
+        description.textContent = itemData.description || '';
+        description.style.cssText = `
+            font-size: 12px;
+            line-height: 1.45;
+            color: rgba(226, 232, 240, 0.72);
+        `;
+        itemEl.appendChild(description);
+
+        if (itemData.type === 'wildcard_no_matches') {
+            return;
+        }
+
+        const pathBlock = document.createElement('div');
+        pathBlock.style.cssText = `
+            margin-top: 10px;
+            padding: 8px 10px;
+            border-radius: 6px;
+            background: rgba(15, 23, 42, 0.6);
+            font-size: 11px;
+            line-height: 1.5;
+        `;
+        pathBlock.innerHTML = [
+            '<div style="font-weight: 600; margin-bottom: 4px;">Wildcards folder</div>',
+            `<code style="word-break: break-all; color: #dbeafe;">${itemData.wildcardsDir || '(unavailable)'}</code>`,
+            `<div style="margin-top: 6px; color: rgba(226, 232, 240, 0.68);">Supported formats: ${(itemData.supportedFormats || []).join(', ')}</div>`,
+        ].join('');
+        itemEl.appendChild(pathBlock);
+
+        const examples = document.createElement('div');
+        examples.style.cssText = `
+            margin-top: 10px;
+            font-size: 11px;
+            line-height: 1.55;
+            color: rgba(226, 232, 240, 0.72);
+        `;
+        examples.innerHTML = [
+            '<div style="font-weight: 600; color: rgba(226, 232, 240, 0.88); margin-bottom: 4px;">Examples</div>',
+            '<div><code>animals/cat.txt</code> -> use <code>__animals/cat__</code></div>',
+            '<div><code>colors.yaml</code> with <code>palette: { warm: [red, orange] }</code> -> use <code>__palette/warm__</code></div>',
+            '<div style="margin-top: 6px;">Text files use one option per line. YAML/JSON use nested keys ending in string arrays.</div>',
+        ].join('');
+        itemEl.appendChild(examples);
+
+        const actions = document.createElement('div');
+        actions.style.cssText = `
+            display: flex;
+            gap: 8px;
+            margin-top: 12px;
+            flex-wrap: wrap;
+        `;
+
+        const openButton = document.createElement('button');
+        openButton.type = 'button';
+        openButton.dataset.action = 'open-wildcards-folder';
+        openButton.textContent = 'Open wildcards folder';
+        openButton.style.cssText = `
+            border: 1px solid rgba(96, 165, 250, 0.45);
+            background: rgba(37, 99, 235, 0.18);
+            color: #dbeafe;
+            border-radius: 6px;
+            padding: 6px 10px;
+            font-size: 11px;
+            cursor: pointer;
+        `;
+        openButton.addEventListener('click', async (event) => {
+            event.preventDefault();
+            event.stopPropagation();
+            await this._openWildcardsFolder();
+        });
+        actions.appendChild(openButton);
+
+        const copyButton = document.createElement('button');
+        copyButton.type = 'button';
+        copyButton.dataset.action = 'copy-wildcards-path';
+        copyButton.textContent = 'Copy path';
+        copyButton.style.cssText = `
+            border: 1px solid rgba(226, 232, 240, 0.2);
+            background: rgba(148, 163, 184, 0.12);
+            color: rgba(226, 232, 240, 0.88);
+            border-radius: 6px;
+            padding: 6px 10px;
+            font-size: 11px;
+            cursor: pointer;
+        `;
+        copyButton.addEventListener('click', async (event) => {
+            event.preventDefault();
+            event.stopPropagation();
+            await this._copyWildcardPath(itemData.wildcardsDir || '');
+        });
+        actions.appendChild(copyButton);
+
+        itemEl.appendChild(actions);
+    }
     
     highlightMatch(text, searchTerm) {
         const { include } = parseSearchTokens(searchTerm);
@@ -1541,6 +1762,62 @@ class AutoComplete {
             '<span style="background-color: rgba(66, 153, 225, 0.3); color: white; padding: 1px 2px; border-radius: 2px;">$1</span>',
         );
     }
+
+    async _openWildcardsFolder() {
+        try {
+            const response = await api.fetchApi('/lm/wildcards/open-location', { method: 'POST' });
+            const data = await response.json();
+            if (!response.ok || data?.success === false) {
+                throw new Error(data?.error || 'Failed to open wildcards folder');
+            }
+
+            if (data?.mode === 'clipboard' && data?.path) {
+                await this._copyWildcardPath(data.path);
+                return;
+            }
+
+            showToast({
+                severity: 'success',
+                summary: 'Wildcards folder',
+                detail: 'Opened wildcards folder.',
+                life: 2500,
+            });
+        } catch (error) {
+            console.error('[Lora Manager] Failed to open wildcards folder:', error);
+            showToast({
+                severity: 'error',
+                summary: 'Error',
+                detail: error?.message || 'Failed to open wildcards folder',
+                life: 3000,
+            });
+        }
+    }
+
+    async _copyWildcardPath(path) {
+        if (!path) {
+            return;
+        }
+
+        try {
+            if (navigator?.clipboard?.writeText) {
+                await navigator.clipboard.writeText(path);
+            }
+            showToast({
+                severity: 'info',
+                summary: 'Wildcards path',
+                detail: path,
+                life: 3000,
+            });
+        } catch (error) {
+            console.error('[Lora Manager] Failed to copy wildcards path:', error);
+            showToast({
+                severity: 'warn',
+                summary: 'Wildcards path',
+                detail: path,
+                life: 4000,
+            });
+        }
+    }
     
     showPreviewForItem(relativePath, itemElement) {
         if (!this.options.showPreview || !this.previewTooltip) return;
@@ -1611,6 +1888,8 @@ class AutoComplete {
             if (this.modelType === 'prompt') {
                 if (this.searchType === 'embeddings') {
                     endpoint = '/lm/embeddings/relative-paths';
+                } else if (this.searchType === 'wildcards') {
+                    endpoint = getWildcardSearchEndpoint();
                 } else if (this.searchType === 'custom_words') {
                     if (this.activeCommand?.categories) {
                         const categories = this.activeCommand.categories.join(',');
@@ -1621,8 +1900,7 @@ class AutoComplete {
                 }
             }
 
-            const queryVariations = this._generateQueryVariations(this.currentSearchTerm);
-            const queriesToExecute = queryVariations.slice(0, 4);
+            const queriesToExecute = this._getQueriesToExecute(this.currentSearchTerm);
             const offset = this.items.length;
 
             // Execute all queries in parallel with offset
@@ -1733,6 +2011,14 @@ class AutoComplete {
     updateVirtualScrollHeight() {
         if (!this.contentContainer || !this.scrollContainer) return;
 
+        if (this._containsInformationalItems()) {
+            this.totalHeight = 0;
+            this.contentContainer.style.height = 'auto';
+            this.scrollContainer.style.maxHeight = `${this.options.visibleItems * this.options.itemHeight}px`;
+            this.scrollContainer.style.overflowY = 'hidden';
+            return;
+        }
+
         this.totalHeight = this.items.length * this.options.itemHeight;
         this.contentContainer.style.height = `${this.totalHeight}px`;
         
@@ -1751,6 +2037,16 @@ class AutoComplete {
     updateVisibleItems() {
         if (!this.scrollContainer || !this.contentContainer) return;
 
+        if (this._containsInformationalItems()) {
+            this.contentContainer.innerHTML = '';
+            if (this.items[0]) {
+                this.contentContainer.appendChild(
+                    this.createItemElement(this.items[0], 0, false, false)
+                );
+            }
+            return;
+        }
+
         const scrollTop = this.scrollContainer.scrollTop;
         const containerHeight = this.scrollContainer.clientHeight;
 
@@ -1830,7 +2126,9 @@ class AutoComplete {
             isCommand = true;
         }
 
-        if (isCommand) {
+        if (isWildcardInfoItem(itemData)) {
+            this._renderInformationalItem(item, itemData);
+        } else if (isCommand) {
             // Render command item
             const cmdSpan = document.createElement('span');
             cmdSpan.className = 'lm-autocomplete-command-name';
@@ -1862,7 +2160,7 @@ class AutoComplete {
 
         // Hover and selection handlers
         item.addEventListener('mouseenter', () => {
-            this.selectItem(index);
+            this.selectItem(index, { manual: true });
         });
 
         item.addEventListener('mouseleave', () => {
@@ -1871,6 +2169,10 @@ class AutoComplete {
 
         // Click handler
         item.addEventListener('click', () => {
+            if (isWildcardInfoItem(itemData)) {
+                return;
+            }
+
             if (isCommand) {
                 this._insertCommand(itemData.command);
             } else {
@@ -1954,11 +2256,13 @@ class AutoComplete {
         this.dropdown.style.display = 'none';
         this.isVisible = false;
         this.selectedIndex = -1;
+        this.hasManualSelection = false;
         this.showingCommands = false;
         
         // Clear items to prevent stale data from being displayed
         // when autocomplete is shown again
         this.items = [];
+        this.wildcardMeta = null;
         
         // Clear content container to prevent stale items from showing
         if (this.contentContainer) {
@@ -1992,7 +2296,7 @@ class AutoComplete {
         });
     }
     
-    selectItem(index) {
+    selectItem(index, { manual = false } = {}) {
         // Remove previous selection
         const container = this.options.enableVirtualScroll && this.contentContainer
             ? this.contentContainer
@@ -2006,6 +2310,7 @@ class AutoComplete {
         // Add new selection
         if (index >= 0 && index < this.items.length) {
             this.selectedIndex = index;
+            this.hasManualSelection = manual;
 
             // For virtual scrolling, we need to ensure the item is rendered
             if (this.options.enableVirtualScroll && this.scrollContainer) {
@@ -2046,7 +2351,7 @@ class AutoComplete {
                     item.scrollIntoView({ block: 'nearest' });
 
                     // Show preview for selected item
-                    if (this.options.showPreview) {
+                    if (this.options.showPreview && !this._isSelectableInfoItem(this.items[index])) {
                         if (typeof this.behavior.showPreview === 'function') {
                             this.behavior.showPreview(this, this.items[index], item);
                         } else if (this.previewTooltip) {
@@ -2073,7 +2378,7 @@ class AutoComplete {
             selectedEl.style.backgroundColor = 'rgba(66, 153, 225, 0.2)';
 
             // Show preview for selected item
-            if (this.options.showPreview) {
+            if (this.options.showPreview && !this._isSelectableInfoItem(this.items[index])) {
                 if (typeof this.behavior.showPreview === 'function') {
                     this.behavior.showPreview(this, this.items[index], selectedEl);
                 } else if (this.previewTooltip) {
@@ -2099,15 +2404,15 @@ class AutoComplete {
                             this.loadMoreItems().then(() => {
                                 // After loading more, select the next item
                                 if (this.selectedIndex < this.items.length - 1) {
-                                    this.selectItem(this.selectedIndex + 1);
+                                    this.selectItem(this.selectedIndex + 1, { manual: true });
                                 }
                             });
                         }
                     } else {
-                        this.selectItem(this.selectedIndex + 1);
+                        this.selectItem(this.selectedIndex + 1, { manual: true });
                     }
                 } else {
-                    this.selectItem(Math.min(this.selectedIndex + 1, this.items.length - 1));
+                    this.selectItem(Math.min(this.selectedIndex + 1, this.items.length - 1), { manual: true });
                 }
                 break;
                 
@@ -2117,12 +2422,12 @@ class AutoComplete {
                     // For virtual scrolling, handle top boundary
                     if (this.selectedIndex <= 0) {
                         // Already at first item, ensure it's selected
-                        this.selectItem(0);
+                        this.selectItem(0, { manual: true });
                     } else {
-                        this.selectItem(this.selectedIndex - 1);
+                        this.selectItem(this.selectedIndex - 1, { manual: true });
                     }
                 } else {
-                    this.selectItem(Math.max(this.selectedIndex - 1, 0));
+                    this.selectItem(Math.max(this.selectedIndex - 1, 0), { manual: true });
                 }
                 break;
                 
@@ -2134,9 +2439,9 @@ class AutoComplete {
 
                 {
                     const liveSearchTerm = this._getLiveSearchTermForAcceptance();
-                    const preferredIndex = this._getPreferredSelectedIndex(liveSearchTerm);
-                    if (preferredIndex !== -1 && preferredIndex !== this.selectedIndex) {
-                        this.selectItem(preferredIndex);
+                    const acceptIndex = this._getAcceptSelectionIndex(liveSearchTerm);
+                    if (acceptIndex !== -1 && acceptIndex !== this.selectedIndex) {
+                        this.selectItem(acceptIndex);
                     }
                 }
 
@@ -2146,8 +2451,15 @@ class AutoComplete {
                         // Insert command
                         this._insertCommand(this.items[this.selectedIndex].command);
                     } else {
-                        // Insert selection (handle enriched items)
                         const selectedItem = this.items[this.selectedIndex];
+                        if (isWildcardInfoItem(selectedItem)) {
+                            if (selectedItem.type === 'wildcard_empty_state') {
+                                this._openWildcardsFolder();
+                            }
+                            break;
+                        }
+
+                        // Insert selection (handle enriched items)
                         const insertPath = typeof selectedItem === 'object' && 'tag_name' in selectedItem
                             ? selectedItem.tag_name
                             : selectedItem;
@@ -2180,7 +2492,7 @@ class AutoComplete {
         // This allows "hello 1gi" + selecting "1girl" to become "hello 1girl, "
         // However, if the user typed a multi-word phrase that matches a tag (e.g., "looking to the side"
         // matching "looking_to_the_side"), replace the entire phrase instead of just the last word.
-        // Command mode (e.g., "/char miku") should replace the entire command+search
+        // Command mode (e.g., "/character miku") should replace the entire command+search
         let searchTerm = fullSearchTerm;
         if (this.modelType === 'prompt' && this.searchType === 'custom_words' && !this.activeCommand) {
             // Check if the selectedItem exists and its tag_name matches the full search term

web/comfyui/autocomplete_wildcards.js

@@ -0,0 +1,54 @@
+export const WILDCARD_COMMANDS = {
+    '/wildcard': { type: 'wildcard', label: 'Wildcards' },
+};
+
+export const WILDCARD_INFO_ITEM_TYPES = {
+    EMPTY_STATE: 'wildcard_empty_state',
+    NO_MATCHES: 'wildcard_no_matches',
+};
+
+export function isWildcardCommand(command) {
+    return command?.type === 'wildcard';
+}
+
+export function getWildcardSearchEndpoint() {
+    return '/lm/wildcards/search';
+}
+
+export function getWildcardInsertText(relativePath = '') {
+    const trimmed = typeof relativePath === 'string' ? relativePath.trim() : '';
+    if (!trimmed) {
+        return '';
+    }
+    return `__${trimmed}__`;
+}
+
+export function isWildcardInfoItem(item) {
+    return Boolean(
+        item &&
+        typeof item === 'object' &&
+        Object.values(WILDCARD_INFO_ITEM_TYPES).includes(item.type)
+    );
+}
+
+export function createWildcardEmptyStateItem(meta = {}) {
+    return {
+        type: WILDCARD_INFO_ITEM_TYPES.EMPTY_STATE,
+        title: 'No wildcards found yet',
+        description: 'Create wildcard files in your wildcards folder, then use /wildcard to search and insert keys.',
+        wildcardsDir: meta.wildcards_dir || '',
+        supportedFormats: Array.isArray(meta.supported_formats) ? meta.supported_formats : [],
+    };
+}
+
+export function createWildcardNoMatchesItem(searchTerm = '', meta = {}) {
+    return {
+        type: WILDCARD_INFO_ITEM_TYPES.NO_MATCHES,
+        title: 'No wildcard matches',
+        description: searchTerm
+            ? `No wildcard keys matched "${searchTerm}".`
+            : 'No wildcard keys matched your search.',
+        wildcardsDir: meta.wildcards_dir || '',
+        supportedFormats: Array.isArray(meta.supported_formats) ? meta.supported_formats : [],
+    };
+}

web/comfyui/vue-widgets/lora-manager-widgets.js

@@ -15557,7 +15557,7 @@ function shouldBypassAutocompleteWidgetMigration(node, widgetValues) {
     return false;
   }
   const originalWidgetsInputs = Object.values(inputDefs).filter(
-    (input) => widgetNames.has(input.name) || input.forceInput
+    (input) => widgetNames.has(input.name)
   );
   const widgetIndexHasForceInput = originalWidgetsInputs.flatMap(
     (input) => input.control_after_generate ? [!!input.forceInput, false] : [!!input.forceInput]