chore(release): bump version to v1.2.0

After b464fdc3 (preserve .git on release switch), the hasGit-based
channel detection is unreliable — .git now exists for both release
and nightly installs, so page refresh always reset the channel.

- Add _resolveChannelFromSettings() with migration heuristic:
  !hasGit → release (ZIP), detached HEAD → release (on tag),
  on branch → nightly. Uses gitInfo.branch from check-updates.
- Persist resolved channel to settings.json on first load
  (one-time migration) and on explicit switchChannel.
- Add update_channel validation (release|nightly) in backend
  update_settings handler.
- Remove hasGit-based guessing from initialize(); defer to
  checkForUpdates where full gitInfo is available.
- Channel resolution runs before checkForUpdates early-returns
  to avoid null channelMode on reload-within-interval.

Tests: 361 passed.

AGENTS.md

@@ -137,7 +137,13 @@ npm run test:coverage       # Generate coverage report
 - Dual mode: ComfyUI plugin (folder_paths) vs standalone (settings.json)
 - Detection: `os.environ.get("LORA_MANAGER_STANDALONE", "0") == "1"`
 - Run `python scripts/sync_translation_keys.py` after adding UI strings to `locales/en.json`
-- Symlinks require normalized paths
+- Symlinks require normalized paths.
+  **Business paths vs real paths**: All stored paths and operation routing use the
+  original paths as they appear under configured model roots — symlinks are NOT
+  resolved. `os.path.realpath` is only for scanner dedup and the symlink cache.
+  Any path passed to `os.remove`/`os.rename`/`shutil.move` or validated by a
+  containment check MUST use the business path (i.e. `os.path.abspath`, not
+  `realpath`).
 
 ## Git / Commit Messages
 

__init__.py

@@ -17,6 +17,8 @@ try:  # pragma: no cover - import fallback for pytest collection
     from .py.nodes.lora_cycler import LoraCyclerLM
     from .py.nodes.lora_info import LoraInfoLM
     from .py.nodes.lora_syntax_to_path import LoraSyntaxToPath
+    from .py.nodes.create_hook_lora import CreateHookLoraLM
+    from .py.nodes.metadata_overwrite import MetadataOverwriteLM
     from .py.metadata_collector import init as init_metadata_collector
 except (
     ImportError
@@ -62,6 +64,12 @@ except (
     LoraSyntaxToPath = importlib.import_module(
         "py.nodes.lora_syntax_to_path"
     ).LoraSyntaxToPath
+    CreateHookLoraLM = importlib.import_module(
+        "py.nodes.create_hook_lora"
+    ).CreateHookLoraLM
+    MetadataOverwriteLM = importlib.import_module(
+        "py.nodes.metadata_overwrite"
+    ).MetadataOverwriteLM
     init_metadata_collector = importlib.import_module("py.metadata_collector").init
 
 NODE_CLASS_MAPPINGS = {
@@ -83,6 +91,8 @@ NODE_CLASS_MAPPINGS = {
     LoraCyclerLM.NAME: LoraCyclerLM,
     LoraInfoLM.NAME: LoraInfoLM,
     LoraSyntaxToPath.NAME: LoraSyntaxToPath,
+    CreateHookLoraLM.NAME: CreateHookLoraLM,
+    MetadataOverwriteLM.NAME: MetadataOverwriteLM,
 }
 
 WEB_DIRECTORY = "./web/comfyui"

locales/de.json

@@ -233,7 +233,7 @@
       "presetNamePlaceholder": "Voreinstellungsname...",
       "baseModel": "Basis-Modell",
       "baseModelSearchPlaceholder": "Basismodelle durchsuchen...",
-      "modelTags": "Tags (Top 20)",
+      "modelTags": "Tags",
       "modelTypes": "Modelltypen",
       "license": "Lizenz",
       "noCreditRequired": "Kein Credit erforderlich",
@@ -241,6 +241,8 @@
       "allowSellingGeneratedContentTooltip": "Verkauf generierter Bilder erlauben",
       "noCreditRequiredTooltip": "Modell ohne Nennung des Erstellers verwenden",
       "noTags": "Keine Tags",
+      "tagSearchPlaceholder": "Tags durchsuchen...",
+      "noTagMatches": "Keine Tags entsprechen der aktuellen Suche.",
       "autoTags": "Auto-Tags",
       "noBaseModelMatches": "Keine Basismodelle entsprechen der aktuellen Suche.",
       "clearAll": "Alle Filter löschen",
@@ -1546,6 +1548,7 @@
         "empty": "Noch keine Versionshistorie für dieses Modell vorhanden.",
         "error": "Versionen konnten nicht geladen werden.",
         "missingModelId": "Für dieses Modell ist keine Civitai-Model-ID vorhanden.",
+        "hfGroupInfo": "Dies ist eine HuggingFace-Modellgruppe. Öffnen Sie die Bibliothek, um alle Versionen im Raster zu sehen.",
         "confirm": {
           "delete": "Diese Version aus Ihrer Bibliothek löschen?"
         },
@@ -1749,6 +1752,12 @@
     "checkingMessage": "Bitte warten Sie, während wir nach der neuesten Version suchen.",
     "showNotifications": "Update-Benachrichtigungen anzeigen",
     "latestBadge": "Neueste",
+    "latestMain": "Main-Branch",
+    "channel": "Update-Kanal",
+    "channels": {
+      "release": "Release",
+      "nightly": "Nightly"
+    },
     "updateProgress": {
       "preparing": "Update wird vorbereitet...",
       "installing": "Update wird installiert...",
@@ -1769,6 +1778,15 @@
       "warning": "Warnung: Nightly Builds können experimentelle Funktionen enthalten und könnten instabil sein.",
       "enable": "Nightly Updates aktivieren"
     },
+    "channelSwitch": {
+      "nightlyTitle": "Zu Nightly-Kanal wechseln",
+      "nightlyMessage": "Der Wechsel zu Nightly initialisiert ein Git-Repository und verfolgt die neuesten Commits des main-Branches. Updates sind häufiger, können aber instabil sein. Sie können jederzeit zu Release zurückwechseln.",
+      "releaseTitle": "Zu Release-Kanal wechseln",
+      "releaseMessage": "Der Wechsel zu Release checkt den neuesten stabilen Versions-Tag aus. Sie können jederzeit zu Nightly zurückwechseln.",
+      "switching": "Wechsle zu {channel}-Kanal...",
+      "completed": "Erfolgreich zu {channel}-Kanal gewechselt",
+      "failed": "Kanalwechsel fehlgeschlagen"
+    },
     "banners": {
       "recent": "Neueste Mitteilungen",
       "empty": "Keine aktuellen Banner verfügbar.",

locales/en.json

@@ -233,7 +233,7 @@
       "presetNamePlaceholder": "Preset name...",
       "baseModel": "Base Model",
       "baseModelSearchPlaceholder": "Search base models...",
-      "modelTags": "Tags (Top 20)",
+      "modelTags": "Tags",
       "modelTypes": "Model Types",
       "license": "License",
       "noCreditRequired": "No Credit Required",
@@ -241,6 +241,8 @@
       "allowSellingGeneratedContentTooltip": "Allow selling generated images",
       "noCreditRequiredTooltip": "Use the model without crediting the creator",
       "noTags": "No tags",
+      "tagSearchPlaceholder": "Search tags...",
+      "noTagMatches": "No tags match the current search.",
       "autoTags": "Auto Tags",
       "noBaseModelMatches": "No base models match the current search.",
       "clearAll": "Clear All Filters",
@@ -1546,6 +1548,7 @@
         "empty": "No version history available for this model yet.",
         "error": "Failed to load versions.",
         "missingModelId": "This model is missing a Civitai model id.",
+        "hfGroupInfo": "This is a HuggingFace model group. Open the library to see all versions in the grid.",
         "confirm": {
           "delete": "Delete this version from your library?"
         },
@@ -1749,6 +1752,12 @@
     "checkingMessage": "Please wait while we check for the latest version.",
     "showNotifications": "Show update notifications",
     "latestBadge": "Latest",
+    "latestMain": "Latest main",
+    "channel": "Update Channel",
+    "channels": {
+      "release": "Release",
+      "nightly": "Nightly"
+    },
     "updateProgress": {
       "preparing": "Preparing update...",
       "installing": "Installing update...",
@@ -1769,6 +1778,15 @@
       "warning": "Warning: Nightly builds may contain experimental features and could be unstable.",
       "enable": "Enable Nightly Updates"
     },
+    "channelSwitch": {
+      "nightlyTitle": "Switch to Nightly Channel",
+      "nightlyMessage": "Switching to Nightly will initialize a Git repository and track the latest main branch commits. Updates will be more frequent but may be unstable. You can switch back to Release at any time.",
+      "releaseTitle": "Switch to Release Channel",
+      "releaseMessage": "Switching to Release will checkout the latest stable release tag. You can switch back to Nightly at any time.",
+      "switching": "Switching to {channel} channel...",
+      "completed": "Successfully switched to {channel} channel",
+      "failed": "Failed to switch channel"
+    },
     "banners": {
       "recent": "Recent messages",
       "empty": "No recent banners yet.",

locales/es.json

@@ -233,7 +233,7 @@
       "presetNamePlaceholder": "Nombre del preajuste...",
       "baseModel": "Modelo base",
       "baseModelSearchPlaceholder": "Buscar modelos base...",
-      "modelTags": "Etiquetas (Top 20)",
+      "modelTags": "Etiquetas",
       "modelTypes": "Tipos de modelos",
       "license": "Licencia",
       "noCreditRequired": "Sin crédito requerido",
@@ -241,6 +241,8 @@
       "allowSellingGeneratedContentTooltip": "Permitir la venta de imágenes generadas",
       "noCreditRequiredTooltip": "Usar el modelo sin atribuir al creador",
       "noTags": "Sin etiquetas",
+      "tagSearchPlaceholder": "Buscar etiquetas...",
+      "noTagMatches": "Ninguna etiqueta coincide con la búsqueda actual.",
       "autoTags": "Etiquetas automáticas",
       "noBaseModelMatches": "Ningún modelo base coincide con la búsqueda actual.",
       "clearAll": "Limpiar todos los filtros",
@@ -1546,6 +1548,7 @@
         "empty": "Aún no hay historial de versiones para este modelo.",
         "error": "No se pudieron cargar las versiones.",
         "missingModelId": "Este modelo no tiene un ID de modelo de Civitai.",
+        "hfGroupInfo": "Este es un grupo de modelos de HuggingFace. Abra la biblioteca para ver todas las versiones en la cuadrícula.",
         "confirm": {
           "delete": "¿Eliminar esta versión de tu biblioteca?"
         },
@@ -1748,7 +1751,13 @@
     "checkingUpdates": "Comprobando actualizaciones...",
     "checkingMessage": "Por favor espera mientras comprobamos la última versión.",
     "showNotifications": "Mostrar notificaciones de actualización",
-    "latestBadge": "Último",
+    "latestBadge": "Última",
+    "latestMain": "Rama main",
+    "channel": "Canal de actualizacion",
+    "channels": {
+      "release": "Release",
+      "nightly": "Nightly"
+    },
     "updateProgress": {
       "preparing": "Preparando actualización...",
       "installing": "Instalando actualización...",
@@ -1769,6 +1778,15 @@
       "warning": "Advertencia: Las compilaciones nocturnas pueden contener características experimentales y podrían ser inestables.",
       "enable": "Habilitar actualizaciones nocturnas"
     },
+    "channelSwitch": {
+      "nightlyTitle": "Cambiar a canal Nightly",
+      "nightlyMessage": "Cambiar a Nightly inicializara un repositorio Git y seguira los ultimos commits de la rama main. Las actualizaciones son mas frecuentes pero pueden ser inestables. Puede volver a Release en cualquier momento.",
+      "releaseTitle": "Cambiar a canal Release",
+      "releaseMessage": "Cambiar a Release hara checkout de la ultima etiqueta de version estable. Puede volver a Nightly en cualquier momento.",
+      "switching": "Cambiando a canal {channel}...",
+      "completed": "Cambio a canal {channel} exitoso",
+      "failed": "Error al cambiar de canal"
+    },
     "banners": {
       "recent": "Notificaciones recientes",
       "empty": "No hay banners recientes.",

locales/fr.json

@@ -233,7 +233,7 @@
       "presetNamePlaceholder": "Nom du préréglage...",
       "baseModel": "Modèle de base",
       "baseModelSearchPlaceholder": "Rechercher des modèles de base...",
-      "modelTags": "Tags (Top 20)",
+      "modelTags": "Tags",
       "modelTypes": "Types de modèles",
       "license": "Licence",
       "noCreditRequired": "Crédit non requis",
@@ -241,6 +241,8 @@
       "allowSellingGeneratedContentTooltip": "Autoriser la vente d\"images générées",
       "noCreditRequiredTooltip": "Utiliser le modèle sans créditer le créateur",
       "noTags": "Aucun tag",
+      "tagSearchPlaceholder": "Rechercher des tags...",
+      "noTagMatches": "Aucun tag ne correspond à la recherche actuelle.",
       "autoTags": "Auto-Tags",
       "noBaseModelMatches": "Aucun modèle de base ne correspond à la recherche actuelle.",
       "clearAll": "Effacer tous les filtres",
@@ -1546,6 +1548,7 @@
         "empty": "Aucun historique de versions n'est disponible pour ce modèle pour le moment.",
         "error": "Échec du chargement des versions.",
         "missingModelId": "Ce modèle ne possède pas d'identifiant de modèle Civitai.",
+        "hfGroupInfo": "Ceci est un groupe de modèles HuggingFace. Ouvrez la bibliothèque pour voir toutes les versions dans la grille.",
         "confirm": {
           "delete": "Supprimer cette version de votre bibliothèque ?"
         },
@@ -1748,7 +1751,13 @@
     "checkingUpdates": "Vérification des mises à jour...",
     "checkingMessage": "Veuillez patienter pendant la vérification de la dernière version.",
     "showNotifications": "Afficher les notifications de mise à jour",
-    "latestBadge": "Dernier",
+    "latestBadge": "Dernière",
+    "latestMain": "Branche main",
+    "channel": "Canal de mise a jour",
+    "channels": {
+      "release": "Release",
+      "nightly": "Nightly"
+    },
     "updateProgress": {
       "preparing": "Préparation de la mise à jour...",
       "installing": "Installation de la mise à jour...",
@@ -1769,6 +1778,15 @@
       "warning": "Attention : Les versions nightly peuvent contenir des fonctionnalités expérimentales et être instables.",
       "enable": "Activer les mises à jour nightly"
     },
+    "channelSwitch": {
+      "nightlyTitle": "Passer au canal Nightly",
+      "nightlyMessage": "Passer a Nightly initialisera un depot Git et suivra les derniers commits de la branche main. Les mises a jour sont plus frequentes mais peuvent etre instables. Vous pouvez revenir a Release a tout moment.",
+      "releaseTitle": "Passer au canal Release",
+      "releaseMessage": "Passer a Release passera au dernier tag de version stable. Vous pouvez revenir a Nightly a tout moment.",
+      "switching": "Passage au canal {channel}...",
+      "completed": "Basculement vers le canal {channel} reussi",
+      "failed": "Echec du changement de canal"
+    },
     "banners": {
       "recent": "Messages récents",
       "empty": "Aucune bannière récente.",

locales/he.json

@@ -233,7 +233,7 @@
       "presetNamePlaceholder": "שם קביעה מראש...",
       "baseModel": "מודל בסיס",
       "baseModelSearchPlaceholder": "חפש מודלי בסיס...",
-      "modelTags": "תגיות (20 המובילות)",
+      "modelTags": "תגיות",
       "modelTypes": "סוגי מודלים",
       "license": "רישיון",
       "noCreditRequired": "ללא קרדיט נדרש",
@@ -241,6 +241,8 @@
       "allowSellingGeneratedContentTooltip": "אפשר מכירת תמונות שנוצרו",
       "noCreditRequiredTooltip": "שימוש במודל ללא מתן קרדיט ליוצר",
       "noTags": "ללא תגיות",
+      "tagSearchPlaceholder": "חיפוש תגיות...",
+      "noTagMatches": "אין תגיות שתואמות את החיפוש הנוכחי.",
       "autoTags": "תגיות אוטומטיות",
       "noBaseModelMatches": "אין מודלי בסיס התואמים לחיפוש הנוכחי.",
       "clearAll": "נקה את כל המסננים",
@@ -1546,6 +1548,7 @@
         "empty": "אין עדיין היסטוריית גרסאות למודל זה.",
         "error": "טעינת הגרסאות נכשלה.",
         "missingModelId": "למודל זה אין מזהה מודל של Civitai.",
+        "hfGroupInfo": "זוהי קבוצת דגמים של HuggingFace. פתח את הספרייה כדי לראות את כל הגרסאות ברשת.",
         "confirm": {
           "delete": "למחוק גרסה זו מהספרייה שלך?"
         },
@@ -1748,7 +1751,13 @@
     "checkingUpdates": "בודק עדכונים...",
     "checkingMessage": "אנא המתן בזמן שאנו בודקים את הגרסה האחרונה.",
     "showNotifications": "הצג התראות עדכון",
-    "latestBadge": "עדכן",
+    "latestBadge": "אחרון",
+    "latestMain": "ענף main",
+    "channel": "ערוץ עדכון",
+    "channels": {
+      "release": "Release",
+      "nightly": "Nightly"
+    },
     "updateProgress": {
       "preparing": "מכין עדכון...",
       "installing": "מתקין עדכון...",
@@ -1769,6 +1778,15 @@
       "warning": "אזהרה: גרסאות ליליות עשויות להכיל תכונות ניסיוניות ועלולות להיות לא יציבות.",
       "enable": "הפעל עדכונים ליליים"
     },
+    "channelSwitch": {
+      "nightlyTitle": "מעבר לערוץ Nightly",
+      "nightlyMessage": "מעבר ל-Nightly יאתחל מאגר Git ויעקוב אחר הקומיטים האחרונים בענף main. העדכונים תכופים יותר אך עשויים להיות לא יציבים. ניתן לחזור ל-Release בכל עת.",
+      "releaseTitle": "מעבר לערוץ Release",
+      "releaseMessage": "מעבר ל-Release יעבור לתגית הגרסה היציבה האחרונה. ניתן לחזור ל-Nightly בכל עת.",
+      "switching": "מעבר לערוץ {channel}...",
+      "completed": "המעבר לערוץ {channel} הושלם",
+      "failed": "החלפת ערוץ נכשלה"
+    },
     "banners": {
       "recent": "הודעות אחרונות",
       "empty": "אין כרגע באנרים אחרונים.",

locales/ja.json

@@ -233,7 +233,7 @@
       "presetNamePlaceholder": "プリセット名...",
       "baseModel": "ベースモデル",
       "baseModelSearchPlaceholder": "ベースモデルを検索...",
-      "modelTags": "タグ（上位20）",
+      "modelTags": "タグ",
       "modelTypes": "モデルタイプ",
       "license": "ライセンス",
       "noCreditRequired": "クレジット不要",
@@ -241,6 +241,8 @@
       "allowSellingGeneratedContentTooltip": "生成した画像の販売を許可",
       "noCreditRequiredTooltip": "クレジット表記なしでモデルを使用可能",
       "noTags": "タグなし",
+      "tagSearchPlaceholder": "タグを検索...",
+      "noTagMatches": "現在の検索に一致するタグはありません。",
       "autoTags": "自動タグ",
       "noBaseModelMatches": "現在の検索に一致するベースモデルはありません。",
       "clearAll": "すべてのフィルタをクリア",
@@ -1546,6 +1548,7 @@
         "empty": "このモデルにはまだバージョン履歴がありません。",
         "error": "バージョンの読み込みに失敗しました。",
         "missingModelId": "このモデルにはCivitaiのモデルIDがありません。",
+        "hfGroupInfo": "これは HuggingFace モデルグループです。ライブラリを開いてグリッドですべてのバージョンを表示してください。",
         "confirm": {
           "delete": "このバージョンをライブラリから削除しますか？"
         },
@@ -1749,6 +1752,12 @@
     "checkingMessage": "最新バージョンを確認しています。お待ちください。",
     "showNotifications": "更新通知を表示",
     "latestBadge": "最新",
+    "latestMain": "Main ブランチ",
+    "channel": "更新チャンネル",
+    "channels": {
+      "release": "リリース",
+      "nightly": "ナイトリー"
+    },
     "updateProgress": {
       "preparing": "更新を準備中...",
       "installing": "更新をインストール中...",
@@ -1769,6 +1778,15 @@
       "warning": "警告：ナイトリービルドには実験的機能が含まれており、不安定な場合があります。",
       "enable": "ナイトリー更新を有効にする"
     },
+    "channelSwitch": {
+      "nightlyTitle": "ナイトリーチャンネルに切り替え",
+      "nightlyMessage": "ナイトリーに切り替えると、Gitリポジトリが初期化され、mainブランチの最新コミットを追跡します。更新頻度は高くなりますが、不安定な場合があります。いつでもリリース版に戻せます。",
+      "releaseTitle": "リリースチャンネルに切り替え",
+      "releaseMessage": "リリースに切り替えると、最新の安定版タグにチェックアウトされます。いつでもNightlyに戻せます。",
+      "switching": "{channel} チャンネルに切り替え中...",
+      "completed": "{channel} チャンネルに切り替えました",
+      "failed": "チャンネルの切り替えに失敗しました"
+    },
     "banners": {
       "recent": "最近の通知",
       "empty": "最近のバナーはありません。",

locales/ko.json

@@ -233,7 +233,7 @@
       "presetNamePlaceholder": "프리셋 이름...",
       "baseModel": "베이스 모델",
       "baseModelSearchPlaceholder": "베이스 모델 검색...",
-      "modelTags": "태그 (상위 20개)",
+      "modelTags": "태그",
       "modelTypes": "모델 유형",
       "license": "라이선스",
       "noCreditRequired": "크레딧 표기 없음",
@@ -241,6 +241,8 @@
       "allowSellingGeneratedContentTooltip": "생성된 이미지 판매 허용",
       "noCreditRequiredTooltip": "크리에이터 저작자 표시 없이 모델 사용 가능",
       "noTags": "태그 없음",
+      "tagSearchPlaceholder": "태그 검색...",
+      "noTagMatches": "현재 검색과 일치하는 태그가 없습니다.",
       "autoTags": "자동 태그",
       "noBaseModelMatches": "현재 검색과 일치하는 베이스 모델이 없습니다.",
       "clearAll": "모든 필터 지우기",
@@ -1546,6 +1548,7 @@
         "empty": "이 모델에는 아직 버전 기록이 없습니다.",
         "error": "버전을 불러오지 못했습니다.",
         "missingModelId": "이 모델에는 Civitai 모델 ID가 없습니다.",
+        "hfGroupInfo": "HuggingFace 모델 그룹입니다. 라이브러리를 열어 그리드에서 모든 버전을 확인하세요.",
         "confirm": {
           "delete": "이 버전을 라이브러리에서 삭제하시겠습니까?"
         },
@@ -1749,6 +1752,12 @@
     "checkingMessage": "최신 버전을 확인하는 동안 잠시 기다려주세요.",
     "showNotifications": "업데이트 알림 표시",
     "latestBadge": "최신",
+    "latestMain": "Main 브랜치",
+    "channel": "업데이트 채널",
+    "channels": {
+      "release": "릴리스",
+      "nightly": "나이틀리"
+    },
     "updateProgress": {
       "preparing": "업데이트 준비 중...",
       "installing": "업데이트 설치 중...",
@@ -1769,6 +1778,15 @@
       "warning": "경고: 나이틀리 빌드는 실험적 기능을 포함할 수 있으며 불안정할 수 있습니다.",
       "enable": "나이틀리 업데이트 활성화"
     },
+    "channelSwitch": {
+      "nightlyTitle": "나이틀리 채널로 전환",
+      "nightlyMessage": "나이틀리로 전환하면 Git 저장소가 초기화되고 main 브랜치의 최신 커밋을 추적합니다. 업데이트 빈도는 높지만 불안정할 수 있습니다. 언제든지 릴리스로 돌아갈 수 있습니다.",
+      "releaseTitle": "릴리스 채널로 전환",
+      "releaseMessage": "릴리스로 전환하면 최신 안정 버전 태그로 체크아웃됩니다. 언제든지 나이틀리로 돌아갈 수 있습니다.",
+      "switching": "{channel} 채널로 전환 중...",
+      "completed": "{channel} 채널로 전환 완료",
+      "failed": "채널 전환 실패"
+    },
     "banners": {
       "recent": "최근 알림",
       "empty": "최근 배너가 없습니다.",

locales/ru.json

@@ -233,7 +233,7 @@
       "presetNamePlaceholder": "Имя пресета...",
       "baseModel": "Базовая модель",
       "baseModelSearchPlaceholder": "Поиск базовых моделей...",
-      "modelTags": "Теги (Топ 20)",
+      "modelTags": "Теги",
       "modelTypes": "Типы моделей",
       "license": "Лицензия",
       "noCreditRequired": "Без указания авторства",
@@ -241,6 +241,8 @@
       "allowSellingGeneratedContentTooltip": "Разрешить продажу сгенерированных изображений",
       "noCreditRequiredTooltip": "Использование модели без указания автора",
       "noTags": "Без тегов",
+      "tagSearchPlaceholder": "Поиск тегов...",
+      "noTagMatches": "Нет тегов, соответствующих текущему поиску.",
       "autoTags": "Авто-теги",
       "noBaseModelMatches": "Нет базовых моделей, соответствующих текущему поиску.",
       "clearAll": "Очистить все фильтры",
@@ -1546,6 +1548,7 @@
         "empty": "Для этой модели пока нет истории версий.",
         "error": "Не удалось загрузить версии.",
         "missingModelId": "У этой модели отсутствует идентификатор модели Civitai.",
+        "hfGroupInfo": "Это группа моделей HuggingFace. Откройте библиотеку, чтобы увидеть все версии в сетке.",
         "confirm": {
           "delete": "Удалить эту версию из библиотеки?"
         },
@@ -1748,7 +1751,13 @@
     "checkingUpdates": "Проверка обновлений...",
     "checkingMessage": "Пожалуйста, подождите, пока мы проверяем последнюю версию.",
     "showNotifications": "Показывать уведомления об обновлениях",
-    "latestBadge": "Последний",
+    "latestBadge": "Последняя",
+    "latestMain": "Ветка main",
+    "channel": "Канал обновлений",
+    "channels": {
+      "release": "Релиз",
+      "nightly": "Nightly"
+    },
     "updateProgress": {
       "preparing": "Подготовка обновления...",
       "installing": "Установка обновления...",
@@ -1769,6 +1778,15 @@
       "warning": "Предупреждение: Ночные сборки могут содержать экспериментальные функции и могут быть нестабильными.",
       "enable": "Включить ночные обновления"
     },
+    "channelSwitch": {
+      "nightlyTitle": "Переключиться на Nightly",
+      "nightlyMessage": "Переключение на Nightly инициализирует Git-репозиторий и отслеживает последние коммиты ветки main. Обновления чаще, но могут быть нестабильными. Вы можете вернуться к Release в любое время.",
+      "releaseTitle": "Переключиться на Release",
+      "releaseMessage": "Переключение на Release выполнит checkout последнего стабильного тега. Вы можете вернуться к Nightly в любое время.",
+      "switching": "Переключение на канал {channel}...",
+      "completed": "Успешно переключено на канал {channel}",
+      "failed": "Не удалось переключить канал"
+    },
     "banners": {
       "recent": "Недавние уведомления",
       "empty": "Недавних баннеров нет.",

locales/zh-CN.json

@@ -233,7 +233,7 @@
       "presetNamePlaceholder": "预设名称...",
       "baseModel": "基础模型",
       "baseModelSearchPlaceholder": "搜索基础模型...",
-      "modelTags": "标签（前20）",
+      "modelTags": "标签",
       "modelTypes": "模型类型",
       "license": "许可证",
       "noCreditRequired": "无需署名",
@@ -241,6 +241,8 @@
       "allowSellingGeneratedContentTooltip": "允许出售生成的图片",
       "noCreditRequiredTooltip": "使用模型时无需注明原作者",
       "noTags": "无标签",
+      "tagSearchPlaceholder": "搜索标签...",
+      "noTagMatches": "没有匹配当前搜索的标签。",
       "autoTags": "自动标签",
       "noBaseModelMatches": "没有基础模型符合当前搜索。",
       "clearAll": "清除所有筛选",
@@ -1546,6 +1548,7 @@
         "empty": "该模型还没有版本历史。",
         "error": "加载版本失败。",
         "missingModelId": "该模型缺少 Civitai 模型 ID。",
+        "hfGroupInfo": "这是一个 HuggingFace 模型组。打开库页面即可在网格中查看所有版本。",
         "confirm": {
           "delete": "从库中删除此版本？"
         },
@@ -1749,6 +1752,12 @@
     "checkingMessage": "请稍候，正在检查最新版本。",
     "showNotifications": "显示更新通知",
     "latestBadge": "最新",
+    "latestMain": "Main 分支",
+    "channel": "更新频道",
+    "channels": {
+      "release": "稳定版",
+      "nightly": "Nightly"
+    },
     "updateProgress": {
       "preparing": "正在准备更新...",
       "installing": "正在安装更新...",
@@ -1769,6 +1778,15 @@
       "warning": "警告：Nightly 版本可能包含实验性功能，可能不稳定。",
       "enable": "启用 Nightly 更新"
     },
+    "channelSwitch": {
+      "nightlyTitle": "切换到 Nightly",
+      "nightlyMessage": "切换到 Nightly 将初始化 Git 仓库并跟踪 main 分支的最新提交。更新更频繁但可能不稳定，可随时切回稳定版。",
+      "releaseTitle": "切换到稳定版",
+      "releaseMessage": "切换到稳定版将检出最新的发布标签。可随时切换回每日构建版。",
+      "switching": "正在切换到 {channel} 频道...",
+      "completed": "已切换到 {channel} 频道",
+      "failed": "切换频道失败"
+    },
     "banners": {
       "recent": "最近的通知",
       "empty": "暂无最近的横幅通知。",

locales/zh-TW.json

@@ -233,7 +233,7 @@
       "presetNamePlaceholder": "預設名稱...",
       "baseModel": "基礎模型",
       "baseModelSearchPlaceholder": "搜尋基礎模型...",
-      "modelTags": "標籤（前 20）",
+      "modelTags": "標籤",
       "modelTypes": "模型類型",
       "license": "授權",
       "noCreditRequired": "無需署名",
@@ -241,6 +241,8 @@
       "allowSellingGeneratedContentTooltip": "允許出售生成的圖片",
       "noCreditRequiredTooltip": "使用模型時無需註明原作者",
       "noTags": "無標籤",
+      "tagSearchPlaceholder": "搜尋標籤...",
+      "noTagMatches": "沒有符合目前搜尋的標籤。",
       "autoTags": "自動標籤",
       "noBaseModelMatches": "沒有基礎模型符合目前的搜尋。",
       "clearAll": "清除所有篩選",
@@ -1546,6 +1548,7 @@
         "empty": "此模型尚無版本歷史。",
         "error": "載入版本失敗。",
         "missingModelId": "此模型缺少 Civitai 模型 ID。",
+        "hfGroupInfo": "這是一個 HuggingFace 模型組。打開庫頁面即可在網格中查看所有版本。",
         "confirm": {
           "delete": "要從庫中刪除此版本嗎？"
         },
@@ -1749,6 +1752,12 @@
     "checkingMessage": "請稍候，正在檢查最新版本。",
     "showNotifications": "顯示更新通知",
     "latestBadge": "最新",
+    "latestMain": "Main 分支",
+    "channel": "更新頻道",
+    "channels": {
+      "release": "稳定版",
+      "nightly": "Nightly"
+    },
     "updateProgress": {
       "preparing": "正在準備更新...",
       "installing": "正在安裝更新...",
@@ -1769,6 +1778,15 @@
       "warning": "警告：Nightly 版本可能包含實驗性功能且可能不穩定。",
       "enable": "啟用 Nightly 更新"
     },
+    "channelSwitch": {
+      "nightlyTitle": "切换到 Nightly",
+      "nightlyMessage": "切换到 Nightly 将初始化 Git 仓库并跟踪 main 分支的最新提交。更新更频繁但可能不稳定，可随时切回稳定版。",
+      "releaseTitle": "切换到稳定版",
+      "releaseMessage": "切換到穩定版將檢出最新的發布標籤。可隨時切換回每日構建版。",
+      "switching": "正在切換到 {channel} 頻道...",
+      "completed": "已切換到 {channel} 頻道",
+      "failed": "切換頻道失敗"
+    },
     "banners": {
       "recent": "最新通知",
       "empty": "目前沒有最近的橫幅通知。",

py/metadata_collector/constants.py

@@ -1,5 +1,11 @@
 """Constants used by the metadata collector"""
 
+# Sentinel value for clip_skip to distinguish "unconnected / widget default"
+# from "user wired value 0".  Both ComfyUI CLIPSetLastLayer (-24..-1) and
+# A1111 conventions treat 0 as meaningless for clip skipping, but users may
+# explicitly wire 0 to the overwrite node to express "no clip skip / default".
+CLIP_SKIP_SENTINEL = -25
+
 # Metadata categories
 MODELS = "models"
 PROMPTS = "prompts"
@@ -9,6 +15,14 @@ EMBEDDINGS = "embeddings"
 SIZE = "size"
 IMAGES = "images"
 IS_SAMPLER = "is_sampler"  # New constant to mark sampler nodes
+OVERWRITE = "overwrite"  # Manual metadata overwrite from MetadataOverwriteLM node
+
+# Field names that the MetadataOverwriteLM node and its extractor share
+METADATA_OVERWRITE_FIELDS = (
+    "prompt", "negative_prompt", "seed", "steps", "cfg_scale",
+    "sampler", "scheduler", "model", "loras", "size",
+    "clip_skip", "additional_data",
+)
 
 # Complete list of categories to track
-METADATA_CATEGORIES = [MODELS, PROMPTS, SAMPLING, LORAS, EMBEDDINGS, SIZE, IMAGES]
+METADATA_CATEGORIES = [MODELS, PROMPTS, SAMPLING, LORAS, EMBEDDINGS, SIZE, IMAGES, OVERWRITE]

py/metadata_collector/metadata_hook.py

@@ -83,7 +83,8 @@ class MetadataHook:
                         
                         # Record inputs before execution
                         if node_id is not None:
-                            registry.record_node_execution(node_id, class_type, input_data_all, None)
+                            return_types = getattr(obj, 'RETURN_TYPES', None)
+                            registry.record_node_execution(node_id, class_type, input_data_all, None, return_types=return_types)
                 except Exception as e:
                     logger.error(f"Error collecting metadata (pre-execution): {str(e)}")
             
@@ -114,7 +115,8 @@ class MetadataHook:
                         
                         # Record outputs after execution
                         if node_id is not None:
-                            registry.update_node_execution(node_id, class_type, results)
+                            return_types = getattr(obj, 'RETURN_TYPES', None)
+                            registry.update_node_execution(node_id, class_type, results, return_types=return_types)
                 except Exception as e:
                     logger.error(f"Error collecting metadata (post-execution): {str(e)}")
             
@@ -135,10 +137,13 @@ class MetadataHook:
                 # Store the dynprompt reference for node lookups
                 if hasattr(prompt, 'original_prompt'):
                     registry.set_current_prompt(prompt)
-            
+
+                # Store extra_data for accessing full workflow node properties
+                registry.set_extra_data(extra_data)
+
             # Execute the original function
             return original_execute(*args, **kwargs)
-            
+
         # Replace the functions
         execution._map_node_over_list = map_node_over_list_with_metadata
         execution.execute = execute_with_prompt_tracking
@@ -163,7 +168,8 @@ class MetadataHook:
                         class_type = obj.__class__.__name__
                         node_id = unique_id
                         if node_id is not None:
-                            registry.record_node_execution(node_id, class_type, input_data_all, None)
+                            return_types = getattr(obj, 'RETURN_TYPES', None)
+                            registry.record_node_execution(node_id, class_type, input_data_all, None, return_types=return_types)
                 except Exception as e:
                     logger.error(f"Error collecting metadata (pre-execution): {str(e)}")
 
@@ -180,7 +186,8 @@ class MetadataHook:
                         class_type = obj.__class__.__name__
                         node_id = unique_id
                         if node_id is not None:
-                            registry.update_node_execution(node_id, class_type, results)
+                            return_types = getattr(obj, 'RETURN_TYPES', None)
+                            registry.update_node_execution(node_id, class_type, results, return_types=return_types)
                 except Exception as e:
                     logger.error(f"Error collecting metadata (post-execution): {str(e)}")
 
@@ -202,6 +209,9 @@ class MetadataHook:
                 if hasattr(prompt, 'original_prompt'):
                     registry.set_current_prompt(prompt)
 
+                # Store extra_data for accessing full workflow node properties
+                registry.set_extra_data(extra_data)
+
             # Execute the original function
             return await original_execute(*args, **kwargs)
 

py/metadata_collector/metadata_processor.py

@@ -1,15 +1,68 @@
 import json
+import logging
 import os
 from .constants import IMAGES
 
 # Check if running in standalone mode
 standalone_mode = os.environ.get("LORA_MANAGER_STANDALONE", "0") == "1" or os.environ.get("HF_HUB_DISABLE_TELEMETRY", "0") == "0"
 
-from .constants import MODELS, PROMPTS, SAMPLING, LORAS, SIZE, IS_SAMPLER
+from .constants import MODELS, PROMPTS, SAMPLING, LORAS, SIZE, IS_SAMPLER, OVERWRITE
+from .node_extractors import NODE_EXTRACTORS
+
+logger = logging.getLogger(__name__)
+
+# Keys that identify metadata hint marks stored in node.properties.lm_marker_role
+_META_MARK_PREFIX = "meta_"
+_MARK_PRIMARY_MODEL = "primary_model"
+_MARK_PRIMARY_SAMPLER = "primary_sampler"
+_MARK_POSITIVE_PROMPT = "positive_prompt"
+_MARK_NEGATIVE_PROMPT = "negative_prompt"
 
 class MetadataProcessor:
     """Process and format collected metadata"""
-    
+
+    @staticmethod
+    def _get_user_marks(metadata):
+        """Scan workflow nodes (from extra_data.extra_pnginfo.workflow) for user-assigned
+        metadata hint marks stored in node.properties.lm_marker_role.
+
+        Returns a dict mapping mark type keys to node IDs.
+        Example: {'primary_model': '42', 'primary_sampler': '17'}
+        """
+        marks: dict[str, str] = {}
+
+        # Primary source: extra_data.extra_pnginfo.workflow.nodes (has full properties)
+        extra_data = metadata.get("extra_data")
+        if extra_data and isinstance(extra_data, dict):
+            extra_pnginfo = extra_data.get("extra_pnginfo", {})
+            if isinstance(extra_pnginfo, dict):
+                workflow = extra_pnginfo.get("workflow", {})
+                nodes = workflow.get("nodes", [])
+                for node in nodes:
+                    node_id = str(node.get("id", ""))
+                    role = node.get("properties", {}).get("lm_marker_role", "")
+                    if role.startswith(_META_MARK_PREFIX):
+                        mark_type = role[len(_META_MARK_PREFIX):]
+                        if mark_type in marks:
+                            logger.warning(
+                                "Duplicate meta hint '%s': node %s (previous: %s), "
+                                "last match wins",
+                                mark_type, node_id, marks[mark_type],
+                            )
+                        marks[mark_type] = node_id
+
+        # Fallback: try prompt.original_prompt (API-only submissions may not have workflow)
+        if not marks:
+            prompt = metadata.get("current_prompt")
+            if prompt and getattr(prompt, "original_prompt", None):
+                for node_id, node_data in prompt.original_prompt.items():
+                    role = node_data.get("properties", {}).get("lm_marker_role", "")
+                    if role.startswith(_META_MARK_PREFIX):
+                        mark_type = role[len(_META_MARK_PREFIX):]
+                        marks[mark_type] = node_id
+
+        return marks
+
     @staticmethod
     def find_primary_sampler(metadata, downstream_id=None):
         """
@@ -471,20 +524,57 @@ class MetadataProcessor:
             "checkpoint": None,
             "loras": "",
             "size": None,
-            "clip_skip": None
+            "clip_skip": None,
+            "additional_data": "",
         }
         
         # Get the prompt object for node relationship tracing
         prompt = metadata.get("current_prompt")
-        
+
-        # Find the primary KSampler node
+        # ---- User marks: override heuristic inference with user-assigned hints ----
-        primary_sampler_id, primary_sampler = MetadataProcessor.find_primary_sampler(metadata, id)
+        user_marks = MetadataProcessor._get_user_marks(metadata)
-        
+
-        # Directly get checkpoint from metadata instead of tracing
+        # Find the primary KSampler node (user mark takes priority)
-        # Pass primary_sampler_id to avoid redundant calculation
+        primary_sampler_id = None
-        checkpoint = MetadataProcessor.find_primary_checkpoint(metadata, id, primary_sampler_id)
+        primary_sampler = None
-        if checkpoint:
+        if _MARK_PRIMARY_SAMPLER in user_marks:
-            params["checkpoint"] = checkpoint
+            marked_id = user_marks[_MARK_PRIMARY_SAMPLER]
+            sampler_data = metadata.get(SAMPLING, {}).get(marked_id)
+            if sampler_data and sampler_data.get(IS_SAMPLER):
+                primary_sampler_id = marked_id
+                primary_sampler = sampler_data
+            else:
+                logger.warning(
+                    "User-marked primary sampler %s has no runtime metadata, "
+                    "falling back to heuristic",
+                    marked_id,
+                )
+        if primary_sampler is None:
+            primary_sampler_id, primary_sampler = MetadataProcessor.find_primary_sampler(metadata, id)
+
+        # Resolve checkpoint / model (user mark takes priority)
+        if _MARK_PRIMARY_MODEL in user_marks:
+            marked_id = user_marks[_MARK_PRIMARY_MODEL]
+            if marked_id in metadata.get(MODELS, {}):
+                params["checkpoint"] = metadata[MODELS][marked_id].get("name")
+            else:
+                extra_data = metadata.get("extra_data")
+                extra_pnginfo = extra_data.get("extra_pnginfo", {}) if extra_data and isinstance(extra_data, dict) else {}
+                workflow = extra_pnginfo.get("workflow", {}) if isinstance(extra_pnginfo, dict) else {}
+                node_type = "unknown"
+                for n in workflow.get("nodes", []):
+                    if str(n.get("id", "")) == marked_id:
+                        node_type = n.get("type", "unknown")
+                        break
+                logger.warning(
+                    "User-marked primary model %s (type=%s, registered=%s) has no runtime metadata, "
+                    "falling back to heuristic",
+                    marked_id, node_type, node_type in NODE_EXTRACTORS,
+                )
+        if params["checkpoint"] is None:
+            checkpoint = MetadataProcessor.find_primary_checkpoint(metadata, id, primary_sampler_id)
+            if checkpoint:
+                params["checkpoint"] = checkpoint
         
         # Check if guidance parameter exists in any sampling node
         for node_id, sampler_info in metadata.get(SAMPLING, {}).items():
@@ -539,7 +629,22 @@ class MetadataProcessor:
                     
                     # For SamplerCustom, handle any additional parameters
                     MetadataProcessor.handle_custom_advanced_sampler(metadata, prompt, primary_sampler_id, params)
-                
+
+            # ---- User marks: override prompts with explicitly tagged nodes ----
+            prompts_data = metadata.get(PROMPTS, {})
+            if _MARK_POSITIVE_PROMPT in user_marks:
+                pos_id = user_marks[_MARK_POSITIVE_PROMPT]
+                if pos_id in prompts_data:
+                    prompt_text = prompts_data[pos_id].get("text") or prompts_data[pos_id].get("positive_text")
+                    if prompt_text:
+                        params["prompt"] = prompt_text
+            if _MARK_NEGATIVE_PROMPT in user_marks:
+                neg_id = user_marks[_MARK_NEGATIVE_PROMPT]
+                if neg_id in prompts_data:
+                    prompt_text = prompts_data[neg_id].get("text") or prompts_data[neg_id].get("negative_text")
+                    if prompt_text:
+                        params["negative_prompt"] = prompt_text
+
             # Size extraction is same for all sampler types
             # Check if the sampler itself has size information (from latent_image)
             if primary_sampler_id in metadata.get(SIZE, {}):
@@ -568,7 +673,26 @@ class MetadataProcessor:
                 break
         if params["clip_skip"] is None:
             params["clip_skip"] = "1"
-        
+
+        # ---- Apply manual metadata overwrites ----
+        for overwrite_info in metadata.get(OVERWRITE, {}).values():
+            overwrite_params = overwrite_info.get("parameters", {})
+            for key, value in overwrite_params.items():
+                if key == "clip_skip":
+                    # Accept any value from overwrite node (sentinel -25 already
+                    # filtered upstream).  Needed because falsy check treats 0
+                    # as "not set" even though 0 is a valid wired input here.
+                    params[key] = value
+                elif value:  # truthy check — only overwrite when user provided a real value
+                    params[key] = value
+
+        # Bridge: the overwrite node exposes the field as "model" (more accurate),
+        # but the internal pipeline key remains "checkpoint" for backward compatibility
+        # with A1111 metadata format and downstream consumers.
+        if params.get("model"):
+            params["checkpoint"] = params["model"]
+            del params["model"]
+
         return params
     
     @staticmethod

py/metadata_collector/metadata_registry.py

@@ -1,7 +1,7 @@
 import time
 from nodes import NODE_CLASS_MAPPINGS  # type: ignore
 from .node_extractors import NODE_EXTRACTORS, GenericNodeExtractor
-from .constants import METADATA_CATEGORIES, IMAGES
+from .constants import METADATA_CATEGORIES, IMAGES, OVERWRITE
 
 
 class MetadataRegistry:
@@ -61,6 +61,7 @@ class MetadataRegistry:
             {
                 "execution_order": [],
                 "current_prompt": None,  # Will store the prompt object
+                "extra_data": None,  # Will store the API extra_data for workflow metadata
                 "timestamp": time.time(),
             }
         )
@@ -75,6 +76,11 @@ class MetadataRegistry:
             # Store the prompt in the metadata for later relationship tracing
             self.prompt_metadata[self.current_prompt_id]["current_prompt"] = prompt
 
+    def set_extra_data(self, extra_data):
+        """Store the API extra_data (contains extra_pnginfo.workflow with node properties)"""
+        if self.current_prompt_id and self.current_prompt_id in self.prompt_metadata:
+            self.prompt_metadata[self.current_prompt_id]["extra_data"] = extra_data
+
     def get_metadata(self, prompt_id=None):
         """Get collected metadata for a prompt"""
         key = prompt_id if prompt_id is not None else self.current_prompt_id
@@ -122,20 +128,28 @@ class MetadataRegistry:
             cache_key = f"{node_id}:{class_type}"
 
             # Check if this node type is relevant for metadata collection
-            if class_type in NODE_EXTRACTORS:
+            if class_type in NODE_EXTRACTORS or cache_key in self.node_cache:
                 # Check if we have cached metadata for this node
                 if cache_key in self.node_cache:
                     cached_data = self.node_cache[cache_key]
 
+                    # Detect bypass (mode=4) / mute (mode=2) — these nodes
+                    # were intentionally disabled and should not contribute
+                    # overwrite values from a previous execution's cache.
+                    node_mode = node_data.get("mode", 0)
+                    node_is_disabled = node_mode in (2, 4)
+
                     # Apply cached metadata to the current metadata
                     for category in self.metadata_categories:
+                        if category == OVERWRITE and node_is_disabled:
+                            continue
                         if category in cached_data and node_id in cached_data[category]:
                             if node_id not in metadata[category]:
                                 metadata[category][node_id] = cached_data[category][
                                     node_id
                                 ]
 
-    def record_node_execution(self, node_id, class_type, inputs, outputs):
+    def record_node_execution(self, node_id, class_type, inputs, outputs, return_types=None):
         """Record information about a node's execution"""
         if not self.current_prompt_id:
             return
@@ -158,17 +172,18 @@ class MetadataRegistry:
 
         # Extract node-specific metadata
         extractor = NODE_EXTRACTORS.get(class_type, GenericNodeExtractor)
-        extractor.extract(
+        if extractor is GenericNodeExtractor:
-            node_id,
+            extractor.extract(node_id, processed_inputs, outputs,
-            processed_inputs,
+                              self.prompt_metadata[self.current_prompt_id],
-            outputs,
+                              return_types=return_types)
-            self.prompt_metadata[self.current_prompt_id],
+        else:
-        )
+            extractor.extract(node_id, processed_inputs, outputs,
+                              self.prompt_metadata[self.current_prompt_id])
 
         # Cache this node's metadata
         self._cache_node_metadata(node_id, class_type)
 
-    def update_node_execution(self, node_id, class_type, outputs):
+    def update_node_execution(self, node_id, class_type, outputs, return_types=None):
         """Update node metadata with output information"""
         if not self.current_prompt_id:
             return
@@ -179,9 +194,17 @@ class MetadataRegistry:
         # Use the same extractor to update with outputs
         extractor = NODE_EXTRACTORS.get(class_type, GenericNodeExtractor)
         if hasattr(extractor, "update"):
-            extractor.update(
+            if extractor is GenericNodeExtractor:
-                node_id, processed_outputs, self.prompt_metadata[self.current_prompt_id]
+                extractor.update(
-            )
+                    node_id, processed_outputs,
+                    self.prompt_metadata[self.current_prompt_id],
+                    return_types=return_types,
+                )
+            else:
+                extractor.update(
+                    node_id, processed_outputs,
+                    self.prompt_metadata[self.current_prompt_id],
+                )
 
         # Update the cached metadata for this node
         self._cache_node_metadata(node_id, class_type)

py/metadata_collector/node_extractors.py

@@ -2,7 +2,7 @@ import json
 import os
 import re
 
-from .constants import MODELS, PROMPTS, SAMPLING, LORAS, SIZE, IMAGES, IS_SAMPLER
+from .constants import CLIP_SKIP_SENTINEL, MODELS, PROMPTS, SAMPLING, LORAS, SIZE, IMAGES, IS_SAMPLER, OVERWRITE, METADATA_OVERWRITE_FIELDS
 
 
 def _store_checkpoint_metadata(metadata, node_id, model_name):
@@ -31,11 +31,78 @@ class NodeMetadataExtractor:
         pass
         
 class GenericNodeExtractor(NodeMetadataExtractor):
-    """Default extractor for nodes without specific handling"""
+    """Fallback extractor with type-signature-based detection.
+
+    When a node is not in the NODE_EXTRACTORS registry, the hook layer
+    passes ``return_types`` from ``obj.RETURN_TYPES``:
+
+    * ``MODEL`` output: common input fields (ckpt_name, unet_name, etc.)
+      are checked for a model file name and stored as checkpoint metadata.
+    * ``CONDITIONING`` output: common text input fields are checked for
+      prompt text and stored as prompt metadata.
+    """
+
+    # Input field names that carry a model path in loader-style nodes.
+    _MODEL_NAME_FIELDS = (
+        "ckpt_name", "unet_name", "model_path", "model_name", "gguf_name",
+    )
+
+    # Extensions used by checkpoint_scanner.py — only record values that look
+    # like real model filenames to avoid capturing unrelated string fields.
+    _MODEL_EXTENSIONS = {
+        ".ckpt", ".pt", ".pt2", ".bin", ".pth", ".safetensors", ".pkl", ".sft", ".gguf",
+    }
+
+    # Input field names that may carry prompt text in encoder-style nodes.
+    _TEXT_FIELDS = ("text", "clip_l", "t5xxl", "prompt", "positive", "negative")
+
     @staticmethod
-    def extract(node_id, inputs, outputs, metadata):
+    def extract(node_id, inputs, outputs, metadata, return_types=None):
-        pass
+        if return_types is None:
-        
+            return
+
+        # — MODEL loader detection (checkpoint / UNET / GGUF) —
+        if "MODEL" in return_types or any("MODEL" in str(t) for t in return_types):
+            for field in GenericNodeExtractor._MODEL_NAME_FIELDS:
+                val = inputs.get(field)
+                if val and isinstance(val, str) and val.strip():
+                    name = val.strip()
+                    if not any(name.lower().endswith(ext) for ext in GenericNodeExtractor._MODEL_EXTENSIONS):
+                        continue
+                    _store_checkpoint_metadata(metadata, node_id, name)
+                    return
+
+        # — CONDITIONING encoder detection (CLIPTextEncode, Flux, custom) —
+        if "CONDITIONING" in return_types or any("CONDITIONING" in str(t) for t in return_types):
+            text = None
+            for field in GenericNodeExtractor._TEXT_FIELDS:
+                val = inputs.get(field)
+                if val and isinstance(val, str) and val.strip():
+                    text = val.strip()
+                    break
+            if text:
+                prompt_data = metadata.setdefault(PROMPTS, {})
+                prompt_data[node_id] = {
+                    "text": text,
+                    "node_id": node_id,
+                }
+
+    @staticmethod
+    def update(node_id, outputs, metadata, return_types=None):
+        if return_types is None:
+            return
+        if "CONDITIONING" not in return_types and not any(
+            "CONDITIONING" in str(t) for t in return_types
+        ):
+            return
+        if node_id not in metadata.get(PROMPTS, {}):
+            return
+        if outputs and isinstance(outputs, list) and len(outputs) > 0:
+            if isinstance(outputs[0], tuple) and len(outputs[0]) > 0:
+                cond = outputs[0][0]
+                if cond is not None:
+                    metadata[PROMPTS][node_id]["conditioning"] = cond
+
 class CheckpointLoaderExtractor(NodeMetadataExtractor):
     @staticmethod
     def extract(node_id, inputs, outputs, metadata):
@@ -1154,6 +1221,35 @@ class CR_ApplyControlNetStackExtractor(NodeMetadataExtractor):
                 metadata[PROMPTS][node_id]["positive_encoded"] = transformed_positive
                 metadata[PROMPTS][node_id]["negative_encoded"] = transformed_negative
 
+class MetadataOverwriteExtractor(NodeMetadataExtractor):
+    """Extract manually specified metadata from MetadataOverwriteLM node.
+
+    Stores truthy input values under the OVERWRITE category so that
+    extract_generation_params can merge them over the inferred params.
+    """
+
+    @staticmethod
+    def extract(node_id, inputs, outputs, metadata):
+        if not inputs:
+            return
+
+        overwrite_params = {}
+        for key in METADATA_OVERWRITE_FIELDS:
+            value = inputs.get(key)
+            if key == "clip_skip":
+                if value != CLIP_SKIP_SENTINEL:
+                    overwrite_params[key] = value
+            elif value:  # truthy — only overwrite when user provided a real value
+                overwrite_params[key] = value
+
+        if overwrite_params:
+            metadata.setdefault(OVERWRITE, {})
+            metadata[OVERWRITE][node_id] = {
+                "parameters": overwrite_params,
+                "node_id": node_id,
+            }
+
+
 # Registry of node-specific extractors
 # Keys are node class names
 NODE_EXTRACTORS = {
@@ -1221,5 +1317,7 @@ NODE_EXTRACTORS = {
     "CFGGuider": CFGGuiderExtractor,            # Add CFGGuider
     # Image
     "VAEDecode": VAEDecodeExtractor,  # Added VAEDecode extractor
+    # Metadata overwrite
+    "MetadataOverwriteLM": MetadataOverwriteExtractor,
     # Add other nodes as needed
 }

py/nodes/create_hook_lora.py

@@ -0,0 +1,117 @@
+"""Create Hook LoRA (LoraManager) — multi-LoRA hook node compatible with ComfyUI's built-in hook pipeline.
+
+Produces ``("HOOKS",)`` output that chains seamlessly with downstream hook consumers
+(ConditioningSetProperties, SetHookKeyframes, CombineHooks, SetClipHooks, etc.).
+"""
+
+from __future__ import annotations
+
+import logging
+import os
+
+from ..utils.utils import get_lora_info_absolute
+from .utils import (
+    FlexibleOptionalInputType,
+    any_type,
+    apply_lora_syntax_format,
+    get_loras_list,
+)
+
+logger = logging.getLogger(__name__)
+
+
+class CreateHookLoraLM:
+    NAME = "Create Hook LoRA (LoraManager)"
+    CATEGORY = "Lora Manager/hooks"
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "text": (
+                    "AUTOCOMPLETE_TEXT_LORAS",
+                    {
+                        "placeholder": "Search LoRAs to add...",
+                        "tooltip": (
+                            "Search and select LoRAs. Each LoRA gets its own "
+                            "model/clip strength. Hooks chain with prev_hooks."
+                        ),
+                    },
+                ),
+            },
+            "optional": FlexibleOptionalInputType(any_type),
+        }
+
+    RETURN_TYPES = ("HOOKS", "STRING", "STRING")
+    RETURN_NAMES = ("HOOKS", "trigger_words", "active_loras")
+    FUNCTION = "create_hook"
+
+    def create_hook(self, text: str, **kwargs):
+        """Create a HookGroup from the selected LoRAs, chained with prev_hooks.
+
+        Each active LoRA from the widget is loaded and wrapped in a WeightHook
+        via :func:`comfy.hooks.create_hook_lora`.  All hooks are combined into a
+        single group and returned alongside trigger words and a human-readable
+        summary of the active LoRAs.
+        """
+        del text  # used by the frontend widget only
+
+        # Lazy imports: comfy is not available in CI/test environment at module level
+        import comfy.hooks  # type: ignore  # noqa: C0415
+        import comfy.utils  # type: ignore  # noqa: C0415
+
+        prev_hooks: comfy.hooks.HookGroup | None = kwargs.get("prev_hooks")
+
+        hook_group = prev_hooks.clone() if prev_hooks is not None else comfy.hooks.HookGroup()
+
+        all_trigger_words: list[str] = []
+        active_loras: list[tuple[str, float, float]] = []
+
+        for lora in get_loras_list(kwargs):
+            if not lora.get("active", False):
+                continue
+
+            lora_name = apply_lora_syntax_format(lora["name"])
+            model_strength = float(lora["strength"])
+            clip_strength = float(lora.get("clipStrength", model_strength))
+
+            # Skip useless no-op entries (both strengths are zero)
+            if model_strength == 0.0 and clip_strength == 0.0:
+                continue
+
+            lora_path, trigger_words = get_lora_info_absolute(lora_name)
+            if not lora_path or not os.path.isfile(lora_path):
+                logger.warning("LoRA '%s' not found — skipping", lora_name)
+                continue
+
+            try:
+                lora_weights = comfy.utils.load_torch_file(lora_path, safe_load=True)
+
+                lora_hooks = comfy.hooks.create_hook_lora(
+                    lora=lora_weights,
+                    strength_model=model_strength,
+                    strength_clip=clip_strength,
+                )
+            except Exception:
+                logger.exception("Failed to load LoRA '%s' — skipping", lora_name)
+                continue
+            hook_group = hook_group.clone_and_combine(lora_hooks)
+
+            active_loras.append((lora_name, model_strength, clip_strength))
+            all_trigger_words.extend(trigger_words)
+
+        # Format trigger words (group mode separator)
+        trigger_words_text = ",, ".join(all_trigger_words) if all_trigger_words else ""
+
+        # Format active LoRAs summary
+        formatted_loras = []
+        for name, model_s, clip_s in active_loras:
+            if abs(model_s - clip_s) > 0.001:
+                formatted_loras.append(
+                    f"<lora:{name}:{model_s}:{clip_s}>"
+                )
+            else:
+                formatted_loras.append(f"<lora:{name}:{model_s}>")
+        active_loras_text = " ".join(formatted_loras)
+
+        return (hook_group, trigger_words_text, active_loras_text)

py/nodes/metadata_overwrite.py

@@ -0,0 +1,170 @@
+"""Metadata Overwrite node — allows users to manually specify generation parameters
+that override the automatically collected/inferred metadata.
+
+Most inputs have falsy defaults (empty string / 0) which are skipped.
+clip_skip uses a sentinel default (-25) so that a wired value of 0 is
+preserved — both ComfyUI and A1111 conventions have no meaningful 0 value,
+but users may wire 0 to express "no clip skip / default".
+"""
+
+from typing import Any
+
+from ..metadata_collector.constants import (
+    CLIP_SKIP_SENTINEL as _CLIP_SKIP_SENTINEL,
+    METADATA_OVERWRITE_FIELDS,
+)
+
+
+class MetadataOverwriteLM:
+    NAME = "Metadata Overwrite (LoraManager)"
+    CATEGORY = "Lora Manager/utils"
+    DESCRIPTION = (
+        "Manually specify generation parameters to override automatically collected "
+        "metadata. Only filled/connected inputs will take effect — empty defaults "
+        "are ignored."
+    )
+
+    @classmethod
+    def INPUT_TYPES(cls) -> dict[str, Any]:
+        return {
+            "optional": {
+                "prompt": (
+                    "STRING",
+                    {
+                        "default": "",
+                        "multiline": True,
+                        "tooltip": "Positive prompt. Only overwrites when non-empty.",
+                    },
+                ),
+                "negative_prompt": (
+                    "STRING",
+                    {
+                        "default": "",
+                        "multiline": True,
+                        "tooltip": "Negative prompt. Only overwrites when non-empty.",
+                    },
+                ),
+                "seed": (
+                    "INT",
+                    {
+                        "default": 0,
+                        "min": 0,
+                        "max": 0xFFFFFFFFFFFFFFFF,
+                        "control_after_generate": False,
+                        "tooltip": "Seed value. Only overwrites when > 0.",
+                    },
+                ),
+                "steps": (
+                    "INT",
+                    {
+                        "default": 0,
+                        "min": 0,
+                        "max": 10000,
+                        "tooltip": "Number of steps. Only overwrites when > 0.",
+                    },
+                ),
+                "cfg_scale": (
+                    "FLOAT",
+                    {
+                        "default": 0.0,
+                        "min": 0.0,
+                        "max": 100.0,
+                        "tooltip": "CFG scale. Only overwrites when > 0.",
+                    },
+                ),
+                "sampler": (
+                    "STRING",
+                    {
+                        "default": "",
+                        "tooltip": "Sampler name. Only overwrites when non-empty.",
+                    },
+                ),
+                "scheduler": (
+                    "STRING",
+                    {
+                        "default": "",
+                        "tooltip": "Scheduler name. Only overwrites when non-empty.",
+                    },
+                ),
+                "model": (
+                    "STRING",
+                    {
+                        "default": "",
+                        "tooltip": (
+                            "The checkpoint or diffusion model (UNet) used "
+                            "for generation. Only overwrites when non-empty."
+                        ),
+                    },
+                ),
+                "loras": (
+                    "STRING",
+                    {
+                        "default": "",
+                        "multiline": True,
+                        "tooltip": (
+                            "LoRA syntax, e.g. <lora:name:strength> "
+                            "or <lora:name:model_strength:clip_strength>, "
+                            "separated by spaces. Only overwrites when non-empty."
+                        ),
+                    },
+                ),
+                "size": (
+                    "STRING",
+                    {
+                        "default": "",
+                        "tooltip": (
+                            "Image size in WIDTHxHEIGHT format (e.g. 512x768). "
+                            "Only overwrites when non-empty."
+                        ),
+                    },
+                ),
+                "clip_skip": (
+                    "INT",
+                    {
+                        "default": _CLIP_SKIP_SENTINEL,
+                        "min": -25,
+                        "max": 24,
+                        "tooltip": (
+                            "Clip skip (ComfyUI: -24..-1, A1111: 1+). "
+                            "Default -25 means not set — any other value "
+                            "overwrites."
+                        ),
+                    },
+                ),
+                "additional_data": (
+                    "STRING",
+                    {
+                        "default": "",
+                        "multiline": True,
+                        "tooltip": (
+                            "Additional data to embed in the image metadata. "
+                            "Inserted between Clip skip and Model hash in the "
+                            "A1111-compatible parameters string. "
+                            'Example: "Copyright": "Some license info"'
+                        ),
+                    },
+                ),
+            },
+        }
+
+    RETURN_TYPES = ("METADATA",)
+    RETURN_NAMES = ("metadata",)
+    FUNCTION = "collect_metadata"
+    OUTPUT_NODE = True
+
+    def collect_metadata(self, **kwargs: Any) -> tuple[dict[str, Any]]:
+        """Collect non-default input values into a metadata dict.
+
+        For most fields, a falsy value (empty string, 0) means "not set"
+        and is skipped.  clip_skip uses a dedicated sentinel (-25) so that
+        a wired value of 0 is preserved and reaches the metadata pipeline.
+        """
+        result: dict[str, Any] = {}
+        for key in METADATA_OVERWRITE_FIELDS:
+            value = kwargs.get(key)
+            if key == "clip_skip":
+                if value != _CLIP_SKIP_SENTINEL:
+                    result[key] = value
+            elif value:
+                result[key] = value
+        return (result,)

py/nodes/save_image.py

@@ -16,6 +16,156 @@ from PIL import Image, PngImagePlugin
 import piexif
 import logging
 
+# Civitai-compatible sampler name mapping: ComfyUI internal → A1111 display name
+CIVITAI_SAMPLER_MAP = {
+    "euler": "Euler",
+    "euler_ancestral": "Euler a",
+    "lms": "LMS",
+    "heun": "Heun",
+    "dpm_2": "DPM2",
+    "dpm_2_ancestral": "DPM2 a",
+    "dpmpp_2s_ancestral": "DPM++ 2S a",
+    "dpmpp_2m": "DPM++ 2M",
+    "dpmpp_sde": "DPM++ SDE",
+    "dpmpp_sde_gpu": "DPM++ SDE",
+    "dpmpp_2m_sde": "DPM++ 2M SDE",
+    "dpmpp_2m_sde_gpu": "DPM++ 2M SDE",
+    "dpmpp_3m_sde": "DPM++ 3M SDE",
+    "dpm_fast": "DPM fast",
+    "dpm_adaptive": "DPM adaptive",
+    "ddim": "DDIM",
+    "plms": "PLMS",
+    "uni_pc_bh2": "UniPC",
+    "uni_pc": "UniPC",
+    "lcm": "LCM",
+}
+
+# Base model display name → AIR URN slug
+# Sourced from civitai source: src/shared/constants/basemodel.constants.ts
+BASE_MODEL_AIR_SLUG = {
+    # Stable Diffusion family
+    "SD 1.4": "sd1",
+    "SD 1.5": "sd1",
+    "SD 1.5 LCM": "sd1",
+    "SD 1.5 Hyper": "sd1",
+    "SD 2.0": "sd2",
+    "SD 2.0 768": "sd2",
+    "SD 2.1": "sd2",
+    "SD 2.1 768": "sd2",
+    "SD 2.1 Unclip": "sd2",
+    "SD 3.0": "sd3",
+    "SD 3.5": "sd35",
+    "SD 3.5 Large": "sd35",
+    "SD 3.5 Large Turbo": "sd35",
+    "SD 3.5 Medium": "sd35",
+    "SDXL 0.9": "sdxl",
+    "SDXL 1.0": "sdxl",
+    "SDXL 1.0 LCM": "sdxl",
+    "SDXL Lightning": "sdxl",
+    "SDXL Hyper": "sdxl",
+    "SDXL Turbo": "sdxl",
+    "SDXL Distilled": "sdxldistilled",
+    "Stable Cascade": "scascade",
+    "Stable Video Diffusion": "svd",
+    "SVD": "svd",
+    "SVD XT": "svdxt",
+
+    # SDXL community fine-tunes
+    "Pony": "pony",
+    "Pony Diffusion": "pony",
+    "Illustrious": "illustrious",
+    "NoobAI": "noobai",
+    "Animagine": "illustrious",
+
+    # Flux family
+    "Flux.1": "flux1",
+    "Flux.1 D": "flux1",
+    "Flux.1 S": "flux1",
+    "Flux.1 Krea": "fluxkrea",
+    "Flux.1 Kontext": "flux1kontext",
+    "Flux.2": "flux2",
+    "Flux.2 D": "flux2",
+    "Flux.2 Klein 9B": "flux2klein_9b",
+    "Flux.2 Klein 9B Base": "flux2klein_9b_base",
+    "Flux.2 Klein 4B": "flux2klein_4b",
+    "Flux.2 Klein 4B Base": "flux2klein_4b_base",
+
+    # Other image models (sorted alphabetically)
+    "AuraFlow": "auraflow",
+    "Chroma": "chroma",
+    "HiDream": "hidream",
+    "HiDream-O1": "hidream-o1",
+    "Hunyuan DiT": "hydit1",
+    "Hunyuan Video": "hyv1",
+    "Kolors": "kolors",
+    "Lumina": "lumina",
+    "Mochi": "mochi",
+    "ODOR": "odor",
+    "PixArt Alpha": "pixarta",
+    "PixArt Sigma": "pixarte",
+    "Playground v2": "playgroundv2",
+    "Playground v2.5": "playgroundv2",
+    "Pony Diffusion V7": "ponyv7",
+
+    # Video models
+    "CogVideoX": "cogvideox",
+    "LTX Video": "ltxv",
+    "LTX Video 2": "ltxv2",
+    "LTX Video 2.3": "ltxv23",
+    "Wan Video": "wanvideo",
+    "Wan Video 1.3B T2V": "wanvideo_13b_t2v",
+    "Wan Video 14B T2V": "wanvideo_14b_t2v",
+    "Wan Video 14B I2V 480p": "wanvideo_14b_i2v_480p",
+    "Wan Video 14B I2V 720p": "wanvideo_14b_i2v_720p",
+
+    # Third-party / proprietary image models
+    "Boogu": "boogu",
+    "Ernie": "ernie",
+    "Grok": "grok",
+    "HappyHorse": "happyhorse",
+    "Ideogram": "ideogram",
+    "Ideogram 4.0": "ideogram",
+    "Imagen": "imagen4",
+    "Imagen 4": "imagen4",
+    "Krea": "krea2",
+    "Krea 2": "krea2",
+    "Lens": "lens",
+    "MAI": "mai",
+    "Nano Banana": "nanobanana",
+    "OpenAI": "openai",
+    "Reve": "reve",
+    "Reve 2": "reve",
+    "Reve 2.1": "reve",
+    "Seedream": "seedream",
+    "Sora": "sora2",
+    "Sora 2": "sora2",
+    "Veo": "veo3",
+    "Veo 2": "veo3",
+    "Veo 3": "veo3",
+    "ZImageTurbo": "zimageturbo",
+    "ZImageBase": "zimagebase",
+    "ZImage": "zimagebase",
+
+    # Third-party video models
+    "Hailuo by MiniMax": "minimax",
+    "Haiper": "haiper",
+    "Kling": "kling",
+    "Lightricks": "lightricks",
+    "Seedance": "seedance",
+    "Vidu": "vidu",
+
+    # Qwen family
+    "Qwen": "qwen",
+    "Qwen 2": "qwen2",
+
+    # Anima
+    "Anima": "anima",
+
+    # Special
+    "Upscaler": "upscaler",
+    "Other": "other",
+}
+
 logger = logging.getLogger(__name__)
 
 
@@ -70,11 +220,29 @@ class SaveImageLM:
                         "tooltip": "Compression quality for JPEG and lossy WebP formats (1-100). Higher values mean better quality but larger files.",
                     },
                 ),
+                "webp_method": (
+                    "INT",
+                    {
+                        "default": 6,
+                        "min": 0,
+                        "max": 6,
+                        "tooltip": "WebP compression method (0-6). 0=fastest/largest, 6=slowest/smallest. Only applies when file_format is 'webp'.",
+                    },
+                ),
+                "jpeg_subsampling": (
+                    "INT",
+                    {
+                        "default": 0,
+                        "min": 0,
+                        "max": 2,
+                        "tooltip": "JPEG chroma subsampling level. 0=4:4:4 (best quality), 1=4:2:2, 2=4:2:0 (smallest files). Only applies when file_format is 'jpeg'.",
+                    },
+                ),
                 "embed_workflow": (
                     "BOOLEAN",
                     {
                         "default": False,
-                        "tooltip": "Embeds the complete workflow data into the image metadata. Only works with PNG and WebP formats.",
+                        "tooltip": "When enabled, saved images store the complete workflow. Drag the image back into ComfyUI to restore the original node graph. PNG and WebP only.",
                     },
                 ),
                 "save_with_metadata": (
@@ -142,148 +310,194 @@ class SaveImageLM:
 
         return None
 
-    def format_metadata(self, metadata_dict):
+    def _resolve_model_cache_entry(self, scanner_type: str, name: str):
-        """Format metadata in the requested format similar to userComment example"""
+        """Resolve model hash, civitai metadata, and base_model from scanner cache.
-        if not metadata_dict:
+        Returns (hash_str, civitai_dict, base_model_str). All values are empty defaults when not found."""
-            return ""
+        scanner = ServiceRegistry.get_service_sync(scanner_type)
+        if scanner is None or not name:
+            return "", {}, ""
 
-        # Helper function to only add parameter if value is not None
+        entry = self._get_cached_model_by_name(scanner, name)
-        def add_param_if_not_none(param_list, label, value):
+        if entry is None:
-            if value is not None:
+            basename = os.path.splitext(os.path.basename(name))[0]
-                param_list.append(f"{label}: {value}")
+            hash_val = scanner.get_hash_by_filename(basename)
+            return (hash_val or "").lower(), {}, ""
+
+        hash_val = (entry.get("sha256") or "").lower()
+        civitai = entry.get("civitai") or {}
+        base_model = entry.get("base_model") or ""
+        return hash_val, civitai, base_model
+
+    @staticmethod
+    def _get_civitai_sampler_name(sampler_name: str, scheduler: str) -> str:
+        if sampler_name in CIVITAI_SAMPLER_MAP:
+            civitai_name = CIVITAI_SAMPLER_MAP[sampler_name]
+            if scheduler == "karras":
+                civitai_name += " Karras"
+            elif scheduler == "exponential":
+                civitai_name += " Exponential"
+            return civitai_name
+        else:
+            if scheduler and scheduler != "normal":
+                return f"{sampler_name}_{scheduler}"
+            return sampler_name
+
+    @staticmethod
+    def _build_air_string(base_model: str, model_type: str, model_id: int, version_id: int) -> str:
+        slug = BASE_MODEL_AIR_SLUG.get(base_model, "other")
+        type_lower = model_type.lower() if model_type else "other"
+        return f"urn:air:{slug}:{type_lower}:civitai:{model_id}@{version_id}"
+
+    def format_metadata(self, metadata_dict: dict) -> str:
+        """Format metadata as A1111-compatible parameters string with Hashes JSON and Civitai resources."""
+        if not metadata_dict: return ""
 
-        # Extract the prompt and negative prompt
         prompt = metadata_dict.get("prompt", "")
         negative_prompt = metadata_dict.get("negative_prompt", "")
-
+        steps = metadata_dict.get("steps")
-        # Extract loras from the prompt if present
+        cfg = metadata_dict.get("guidance")
+        if cfg is None:
+            cfg = metadata_dict.get("cfg_scale")
+        if cfg is None:
+            cfg = metadata_dict.get("cfg")
+        seed = metadata_dict.get("seed")
+        size = metadata_dict.get("size")
+        sampler = metadata_dict.get("sampler") or ""
+        scheduler = metadata_dict.get("scheduler") or "normal"
+        checkpoint = metadata_dict.get("checkpoint") or ""
         loras_text = metadata_dict.get("loras", "")
-        lora_hashes = {}
+        clip_skip = metadata_dict.get("clip_skip")
 
-        # If loras are found, add them on a new line after the prompt
+        # Parse LoRA entries from <lora:name:strength> format
+        lora_entries: list[tuple[str, float]] = []
         if loras_text:
-            prompt_with_loras = f"{prompt}\n{loras_text}"
+            for match in re.findall(r"<lora:([^:]+):([^>]+)>", loras_text):
+                lora_name, strength_str = match
+                try:
+                    strength = float(strength_str)
+                except (ValueError, TypeError):
+                    strength = 1.0
+                lora_entries.append((lora_name, strength))
 
-            # Extract lora names from the format <lora:name:strength>
+        # Resolve checkpoint hash and Civitai data from local cache
-            lora_matches = re.findall(r"<lora:([^:]+):([^>]+)>", loras_text)
+        ckpt_hash, ckpt_civitai, ckpt_base_model = "", {}, ""
+        ckpt_display_name = ""
+        if checkpoint:
+            ckpt_hash, ckpt_civitai, ckpt_base_model = self._resolve_model_cache_entry(
+                "checkpoint_scanner", checkpoint
+            )
+            ckpt_display_name = os.path.splitext(os.path.basename(checkpoint))[0]
 
-            # Get hash for each lora
+        # Resolve LoRA hash and Civitai data from local cache
-            for lora_name, strength in lora_matches:
+        loras_data: list[dict] = []
-                hash_value = self.get_lora_hash(lora_name)
+        for lora_name, strength in lora_entries:
-                if hash_value:
+            lora_hash, lora_civitai, lora_base_model = self._resolve_model_cache_entry(
-                    lora_hashes[lora_name] = hash_value
+                "lora_scanner", lora_name
-        else:
+            )
-            prompt_with_loras = prompt
+            loras_data.append({
+                "name": lora_name,
+                "strength": strength,
+                "hash": lora_hash,
+                "civitai": lora_civitai,
+                "base_model": lora_base_model,
+            })
 
-        # Format the first part (prompt and loras)
+        # Build Hashes JSON (A1111 / Civitai standard format)
-        metadata_parts = [prompt_with_loras]
+        hashes: dict[str, str] = {}
+        if ckpt_hash:
+            hashes["model"] = ckpt_hash[:10].upper()
+        for lora in loras_data:
+            if lora["hash"]:
+                hashes[f"LORA:{lora['name']}"] = lora["hash"][:10].upper()
 
-        # Add negative prompt
+        # Build Civitai resources JSON array
+        civitai_resources: list[dict] = []
+        if ckpt_civitai.get("id", 0) > 0:
+            ckpt_resource: dict = {}
+            ckpt_type = (ckpt_civitai.get("model") or {}).get("type", "Checkpoint")
+            model_id = ckpt_civitai.get("modelId", 0)
+            version_id = ckpt_civitai.get("id", 0)
+            if model_id and version_id:
+                ckpt_resource["air"] = self._build_air_string(
+                    ckpt_base_model, ckpt_type, int(model_id), int(version_id)
+                )
+            elif version_id:
+                ckpt_resource["modelVersionId"] = int(version_id)
+            if ckpt_civitai.get("name"):
+                ckpt_resource["versionName"] = ckpt_civitai["name"]
+            if ckpt_resource:
+                civitai_resources.append(ckpt_resource)
+
+        for lora in loras_data:
+            lora_civitai = lora["civitai"]
+            if not lora_civitai or lora_civitai.get("id", 0) <= 0:
+                continue
+            lora_resource: dict = {"weight": lora["strength"]}
+            lora_type = (lora_civitai.get("model") or {}).get("type", "LORA")
+            model_id = lora_civitai.get("modelId", 0)
+            version_id = lora_civitai.get("id", 0)
+            if model_id and version_id:
+                lora_resource["air"] = self._build_air_string(
+                    lora["base_model"], lora_type, int(model_id), int(version_id)
+                )
+            elif version_id:
+                lora_resource["modelVersionId"] = int(version_id)
+            if lora_civitai.get("name"):
+                lora_resource["versionName"] = lora_civitai["name"]
+            civitai_resources.append(lora_resource)
+
+        sampler_name = CIVITAI_SAMPLER_MAP.get(sampler, sampler) if sampler else None
+
+        scheduler_mapping = {
+            "normal": "Normal",
+            "karras": "Karras",
+            "exponential": "Exponential",
+            "sgm_uniform": "SGM Uniform",
+            "sgm_quadratic": "SGM Quadratic",
+        }
+        scheduler_name = scheduler_mapping.get(scheduler, scheduler) if scheduler else None
+
+        # Build output lines
+        lines = [prompt] if prompt else [""]
         if negative_prompt:
-            metadata_parts.append(f"Negative prompt: {negative_prompt}")
+            lines.append(f"Negative prompt: {negative_prompt}")
 
-        # Format the second part (generation parameters)
+        params: list[str] = []
-        params = []
+        if steps is not None:
-
+            params.append(f"Steps: {steps}")
-        # Add standard parameters in the correct order
-        if "steps" in metadata_dict:
-            add_param_if_not_none(params, "Steps", metadata_dict.get("steps"))
-
-        # Combine sampler and scheduler information
-        sampler_name = None
-        scheduler_name = None
-
-        if "sampler" in metadata_dict:
-            sampler = metadata_dict.get("sampler")
-            # Convert ComfyUI sampler names to user-friendly names
-            sampler_mapping = {
-                "euler": "Euler",
-                "euler_ancestral": "Euler a",
-                "dpm_2": "DPM2",
-                "dpm_2_ancestral": "DPM2 a",
-                "heun": "Heun",
-                "dpm_fast": "DPM fast",
-                "dpm_adaptive": "DPM adaptive",
-                "lms": "LMS",
-                "dpmpp_2s_ancestral": "DPM++ 2S a",
-                "dpmpp_sde": "DPM++ SDE",
-                "dpmpp_sde_gpu": "DPM++ SDE",
-                "dpmpp_2m": "DPM++ 2M",
-                "dpmpp_2m_sde": "DPM++ 2M SDE",
-                "dpmpp_2m_sde_gpu": "DPM++ 2M SDE",
-                "ddim": "DDIM",
-            }
-            sampler_name = sampler_mapping.get(sampler, sampler)
-
-        if "scheduler" in metadata_dict:
-            scheduler = metadata_dict.get("scheduler")
-            scheduler_mapping = {
-                "normal": "Simple",
-                "karras": "Karras",
-                "exponential": "Exponential",
-                "sgm_uniform": "SGM Uniform",
-                "sgm_quadratic": "SGM Quadratic",
-            }
-            scheduler_name = scheduler_mapping.get(scheduler, scheduler)
-
-        # Add combined sampler and scheduler information
         if sampler_name:
             if scheduler_name:
                 params.append(f"Sampler: {sampler_name} {scheduler_name}")
             else:
                 params.append(f"Sampler: {sampler_name}")
+        if cfg is not None:
+            params.append(f"CFG scale: {cfg}")
+        if seed is not None:
+            params.append(f"Seed: {seed}")
+        if size:
+            params.append(f"Size: {size}")
+        if clip_skip is not None:
+            try:
+                params.append(f"Clip skip: {abs(int(clip_skip))}")
+            except (ValueError, TypeError):
+                pass
+        additional_data = metadata_dict.get("additional_data", "")
+        if additional_data:
+            params.append(additional_data)
+        if ckpt_hash:
+            params.append(f"Model hash: {ckpt_hash[:10].upper()}")
+        if ckpt_display_name:
+            params.append(f"Model: {ckpt_display_name}")
+        if hashes:
+            params.append(f"Hashes: {json.dumps(hashes, separators=(',', ':'))}")
+        params.append("Version: ComfyUI")
+        if civitai_resources:
+            params.append(
+                f"Civitai resources: {json.dumps(civitai_resources, separators=(',', ':'))}"
+            )
 
-        # CFG scale (Use guidance if available, otherwise fall back to cfg_scale or cfg)
+        lines.append(", ".join(params))
-        if "guidance" in metadata_dict:
+        return "\n".join(lines)
-            add_param_if_not_none(params, "CFG scale", metadata_dict.get("guidance"))
-        elif "cfg_scale" in metadata_dict:
-            add_param_if_not_none(params, "CFG scale", metadata_dict.get("cfg_scale"))
-        elif "cfg" in metadata_dict:
-            add_param_if_not_none(params, "CFG scale", metadata_dict.get("cfg"))
-
-        # Seed
-        if "seed" in metadata_dict:
-            add_param_if_not_none(params, "Seed", metadata_dict.get("seed"))
-
-        # Size
-        if "size" in metadata_dict:
-            add_param_if_not_none(params, "Size", metadata_dict.get("size"))
-
-        # Model info
-        if "checkpoint" in metadata_dict:
-            # Ensure checkpoint is a string before processing
-            checkpoint = metadata_dict.get("checkpoint")
-            if checkpoint is not None:
-                # Get model hash
-                model_hash = self.get_checkpoint_hash(checkpoint)
-
-                # Extract basename without path
-                checkpoint_name = os.path.basename(checkpoint)
-                # Remove extension if present
-                checkpoint_name = os.path.splitext(checkpoint_name)[0]
-
-                # Add model hash if available
-                if model_hash:
-                    params.append(
-                        f"Model hash: {model_hash[:10]}, Model: {checkpoint_name}"
-                    )
-                else:
-                    params.append(f"Model: {checkpoint_name}")
-
-        # Add LoRA hashes if available
-        if lora_hashes:
-            lora_hash_parts = []
-            for lora_name, hash_value in lora_hashes.items():
-                lora_hash_parts.append(f"{lora_name}: {hash_value[:10]}")
-
-            if lora_hash_parts:
-                params.append(f'Lora hashes: "{", ".join(lora_hash_parts)}"')
-
-        # Combine all parameters with commas
-        metadata_parts.append(", ".join(params))
-
-        # Join all parts with a new line
-        return "\n".join(metadata_parts)
 
     # credit to nkchocoai
     # Add format_filename method to handle pattern substitution
@@ -573,6 +787,8 @@ class SaveImageLM:
         extra_pnginfo=None,
         lossless_webp=True,
         quality=100,
+        webp_method=6,
+        jpeg_subsampling=0,
         embed_workflow=False,
         save_with_metadata=True,
         add_counter_to_filename=True,
@@ -627,15 +843,14 @@ class SaveImageLM:
             elif file_format == "jpeg":
                 file = base_filename + ".jpg"
                 file_extension = ".jpg"
-                save_kwargs = {"quality": quality, "optimize": True}
+                save_kwargs = {"quality": quality, "optimize": True, "subsampling": jpeg_subsampling}
             elif file_format == "webp":
                 file = base_filename + ".webp"
                 file_extension = ".webp"
-                # Add optimization param to control performance
                 save_kwargs = {
                     "quality": quality,
                     "lossless": lossless_webp,
-                    "method": 0,
+                    "method": webp_method,
                 }
             else:
                 raise ValueError(f"Unsupported file format: {file_format}")
@@ -722,6 +937,8 @@ class SaveImageLM:
         extra_pnginfo=None,
         lossless_webp=True,
         quality=100,
+        webp_method=6,
+        jpeg_subsampling=0,
         embed_workflow=False,
         save_with_metadata=True,
         add_counter_to_filename=True,
@@ -751,6 +968,8 @@ class SaveImageLM:
             extra_pnginfo,
             lossless_webp,
             quality,
+            webp_method,
+            jpeg_subsampling,
             embed_workflow,
             save_with_metadata,
             add_counter_to_filename,

py/routes/handlers/misc_handlers.py

@@ -1562,6 +1562,11 @@ class SettingsHandler:
                             {"success": False, "error": validation_error}
                         )
 
+                if key == "update_channel" and value not in ("release", "nightly"):
+                    return web.json_response(
+                        {"success": False, "error": "update_channel must be 'release' or 'nightly'"}
+                    )
+
                 if value == "__DELETE__" and key in (
                     "proxy_username",
                     "proxy_password",

py/routes/handlers/model_handlers.py

@@ -394,12 +394,14 @@ class ModelListingHandler:
         )
 
         # View-local-versions filter: show all local versions of a specific model
+        # Accepts either a CivitAI modelId (int) or a HF group key like "hf:user/repo"
         civitai_model_id = request.query.get("civitai_model_id")
         if civitai_model_id is not None:
             try:
                 civitai_model_id = int(civitai_model_id)
             except (TypeError, ValueError):
-                civitai_model_id = None
+                # Keep as string — could be an HF group key (e.g. "hf:user/repo")
+                pass
 
         return {
             "page": page,
@@ -537,6 +539,7 @@ class ModelManagementHandler:
                     # Update model_data with new hash
                     model_data["sha256"] = sha256
                     model_data["hash_status"] = "completed"
+                    hash_status = "completed"
                 else:
                     return web.json_response(
                         {"success": False, "error": "No SHA256 hash found"}, status=400
@@ -544,6 +547,32 @@ class ModelManagementHandler:
 
             await MetadataManager.hydrate_model_data(model_data)
 
+            # hydrate_model_data replaces model_data with .metadata.json content,
+            # which may lack sha256. Restore from cache and persist the fix.
+            if not model_data.get("sha256"):
+                if sha256:
+                    model_data["sha256"] = sha256
+                    model_data["hash_status"] = model_data.get("hash_status", hash_status)
+                    data_to_save = model_data.copy()
+                    data_to_save.pop("folder", None)
+                    await MetadataManager.save_metadata(file_path, data_to_save)
+                else:
+                    sha256 = await calculate_sha256(file_path)
+                    if sha256:
+                        model_data["sha256"] = sha256.lower()
+                        model_data["hash_status"] = "completed"
+                        data_to_save = model_data.copy()
+                        data_to_save.pop("folder", None)
+                        await MetadataManager.save_metadata(file_path, data_to_save)
+                    else:
+                        return web.json_response(
+                            {
+                                "success": False,
+                                "error": "Failed to compute SHA256 hash for model",
+                            },
+                            status=500,
+                        )
+
             success, error = await self._metadata_sync.fetch_and_update_model(
                 sha256=model_data["sha256"],
                 file_path=file_path,
@@ -566,7 +595,12 @@ class ModelManagementHandler:
                     {"success": False, "error": OFFLINE_FRIENDLY_MESSAGE},
                     status=503,
                 )
-            self._logger.error("Error fetching from CivitAI: %s", exc, exc_info=True)
+            self._logger.error(
+                "Error fetching from CivitAI for %s: %s",
+                locals().get("file_path", "unknown"),
+                exc,
+                exc_info=True,
+            )
             return web.json_response({"success": False, "error": str(exc)}, status=500)
 
     async def relink_civitai(self, request: web.Request) -> web.Response:
@@ -973,6 +1007,8 @@ class ModelQueryHandler:
             limit = int(request.query.get("limit", "20"))
             if limit < 0:
                 limit = 20
+            elif limit > 200:
+                limit = 20
             top_tags = await self._service.get_top_tags(limit)
             return web.json_response({"success": True, "tags": top_tags})
         except Exception as exc:
@@ -981,6 +1017,22 @@ class ModelQueryHandler:
                 {"success": False, "error": "Internal server error"}, status=500
             )
 
+    async def search_tags(self, request: web.Request) -> web.Response:
+        try:
+            query = request.query.get("q", "")
+            limit = int(request.query.get("limit", "20"))
+            if limit < 0:
+                limit = 20
+            elif limit > 200:
+                limit = 20
+            tags = await self._service.search_tags(query, limit)
+            return web.json_response({"success": True, "tags": tags})
+        except Exception as exc:
+            self._logger.error("Error searching tags: %s", exc, exc_info=True)
+            return web.json_response(
+                {"success": False, "error": "Internal server error"}, status=500
+            )
+
     async def get_base_models(self, request: web.Request) -> web.Response:
         try:
             limit = int(request.query.get("limit", "20"))
@@ -2947,6 +2999,7 @@ class ModelHandlerSet:
             "bulk_delete_models": self.management.bulk_delete_models,
             "verify_duplicates": self.management.verify_duplicates,
             "get_top_tags": self.query.get_top_tags,
+            "search_tags": self.query.search_tags,
             "get_base_models": self.query.get_base_models,
             "get_model_types": self.query.get_model_types,
             "scan_models": self.query.scan_models,

py/routes/handlers/recipe_handlers.py

@@ -72,6 +72,7 @@ class RecipeHandlerSet:
             "save_recipe": self.management.save_recipe,
             "delete_recipe": self.management.delete_recipe,
             "get_top_tags": self.query.get_top_tags,
+            "search_tags": self.query.search_tags,
             "get_base_models": self.query.get_base_models,
             "get_roots": self.query.get_roots,
             "get_folders": self.query.get_folders,
@@ -317,12 +318,11 @@ class RecipeQueryHandler:
                 raise RuntimeError("Recipe scanner unavailable")
 
             limit = int(request.query.get("limit", "20"))
-            cache = await recipe_scanner.get_cached_data()
+            if limit < 0:
-
+                limit = 20
-            tag_counts: Dict[str, int] = {}
+            elif limit > 200:
-            for recipe in getattr(cache, "raw_data", []):
+                limit = 20
-                for tag in recipe.get("tags", []) or []:
+            tag_counts = await self._get_recipe_tag_counts(recipe_scanner)
-                    tag_counts[tag] = tag_counts.get(tag, 0) + 1
 
             sorted_tags = [
                 {"tag": tag, "count": count} for tag, count in tag_counts.items()
@@ -333,6 +333,55 @@ class RecipeQueryHandler:
             self._logger.error("Error retrieving top tags: %s", exc, exc_info=True)
             return web.json_response({"success": False, "error": str(exc)}, status=500)
 
+    async def search_tags(self, request: web.Request) -> web.Response:
+        try:
+            await self._ensure_dependencies_ready()
+            recipe_scanner = self._recipe_scanner_getter()
+            if recipe_scanner is None:
+                raise RuntimeError("Recipe scanner unavailable")
+
+            query = request.query.get("q", "")
+            limit = int(request.query.get("limit", "20"))
+            if limit < 0:
+                limit = 20
+            elif limit > 200:
+                limit = 20
+
+            tag_counts = await self._get_recipe_tag_counts(recipe_scanner)
+            normalized_query = (query or "").strip().lower()
+            if not normalized_query:
+                sorted_tags = [
+                    {"tag": tag, "count": count} for tag, count in tag_counts.items()
+                ]
+                sorted_tags.sort(key=lambda entry: entry["count"], reverse=True)
+                return web.json_response(
+                    {"success": True, "tags": sorted_tags[: (limit if limit > 0 else 20)]}
+                )
+
+            matched = [
+                {"tag": tag, "count": count}
+                for tag, count in tag_counts.items()
+                if normalized_query in tag.lower()
+            ]
+            matched.sort(key=lambda entry: entry["count"], reverse=True)
+            if limit == 0:
+                result = matched
+            else:
+                result = matched[:limit]
+            return web.json_response({"success": True, "tags": result})
+        except Exception as exc:
+            self._logger.error("Error searching recipe tags: %s", exc, exc_info=True)
+            return web.json_response({"success": False, "error": str(exc)}, status=500)
+
+    async def _get_recipe_tag_counts(self, recipe_scanner) -> Dict[str, int]:
+        """Compute tag->count mapping from cached recipe data."""
+        cache = await recipe_scanner.get_cached_data()
+        tag_counts: Dict[str, int] = {}
+        for recipe in getattr(cache, "raw_data", []):
+            for tag in recipe.get("tags", []) or []:
+                tag_counts[tag] = tag_counts.get(tag, 0) + 1
+        return tag_counts
+
     async def get_base_models(self, request: web.Request) -> web.Response:
         try:
             await self._ensure_dependencies_ready()

py/routes/model_route_registrar.py

@@ -46,6 +46,7 @@ COMMON_ROUTE_DEFINITIONS: tuple[RouteDefinition, ...] = (
         "GET", "/api/lm/{prefix}/auto-organize-progress", "get_auto_organize_progress"
     ),
     RouteDefinition("GET", "/api/lm/{prefix}/top-tags", "get_top_tags"),
+    RouteDefinition("GET", "/api/lm/{prefix}/search-tags", "search_tags"),
     RouteDefinition("GET", "/api/lm/{prefix}/base-models", "get_base_models"),
     RouteDefinition("GET", "/api/lm/{prefix}/model-types", "get_model_types"),
     RouteDefinition("GET", "/api/lm/{prefix}/scan", "scan_models"),

py/routes/recipe_route_registrar.py

@@ -29,6 +29,7 @@ ROUTE_DEFINITIONS: tuple[RouteDefinition, ...] = (
     RouteDefinition("POST", "/api/lm/recipes/save", "save_recipe"),
     RouteDefinition("DELETE", "/api/lm/recipe/{recipe_id}", "delete_recipe"),
     RouteDefinition("GET", "/api/lm/recipes/top-tags", "get_top_tags"),
+    RouteDefinition("GET", "/api/lm/recipes/search-tags", "search_tags"),
     RouteDefinition("GET", "/api/lm/recipes/base-models", "get_base_models"),
     RouteDefinition("GET", "/api/lm/recipes/roots", "get_roots"),
     RouteDefinition("GET", "/api/lm/recipes/folders", "get_folders"),

py/routes/update_routes.py

@@ -38,6 +38,84 @@ def _clean_excludes() -> List[str]:
     return excludes
 
 
+def _stage_preserved_items(plugin_root: str) -> tuple[str, list[str]]:
+    """Move preserved user-data items to a temp directory outside *plugin_root*.
+
+    This ensures that ``git reset --hard``, ``git clean -fd``, and ZIP-based
+    replacement cannot touch these files even when ``-e`` exclusion patterns
+    are mishandled (e.g. on Windows where forward-slash patterns may not
+    match backslash-prefixed paths in some Git builds, or where file locks
+    prevent deletion/recreation).
+
+    Returns:
+        ``(backup_root, staged_names)``: the temp directory path and the
+        list of item names that were successfully moved.
+    """
+    backup_root = tempfile.mkdtemp(prefix='lora_manager_update_')
+    staged: list[str] = []
+    for name in _PRESERVE_DIRS:
+        src = os.path.join(plugin_root, name)
+        if not os.path.lexists(src):
+            continue
+        dst = os.path.join(backup_root, name)
+        try:
+            shutil.move(src, dst)
+            staged.append(name)
+            logger.debug("Staged '%s' for update safety", name)
+        except OSError:
+            # ``shutil.move`` may fail on Windows if a file handle inside
+            # the directory is still open (e.g. a SQLite WAL file). Fall
+            # back to copy-then-remove.
+            logger.debug("Move failed for '%s', falling back to copy", name)
+            try:
+                if os.path.isdir(src) and not os.path.islink(src):
+                    shutil.copytree(src, dst, symlinks=True)
+                    shutil.rmtree(src, ignore_errors=True)
+                else:
+                    shutil.copy2(src, dst)
+                    os.remove(src)
+                staged.append(name)
+                logger.info("Copied (then removed) '%s' for update safety", name)
+            except Exception as exc:
+                logger.warning(
+                    "Could not stage '%s': %s (will rely on git -e / skip lists)", name, exc
+                )
+    return backup_root, staged
+
+
+def _restore_preserved_items(plugin_root: str, backup_root: str, staged: list[str]) -> None:
+    """Move staged items back from *backup_root* into *plugin_root*.
+
+    Any leftover placeholder at the destination (created by git checkout or
+    ZIP extraction) is removed before the move.
+    """
+    for name in staged:
+        src = os.path.join(backup_root, name)
+        dst = os.path.join(plugin_root, name)
+        try:
+            if os.path.lexists(dst):
+                if os.path.isdir(dst) and not os.path.islink(dst):
+                    shutil.rmtree(dst, ignore_errors=True)
+                else:
+                    os.remove(dst)
+            shutil.move(src, dst)
+            logger.debug("Restored '%s' after update", name)
+        except OSError:
+            logger.debug("Move failed restoring '%s', falling back to copy", name)
+            try:
+                if os.path.isdir(src) and not os.path.islink(src):
+                    shutil.copytree(src, dst, symlinks=True, dirs_exist_ok=True)
+                    shutil.rmtree(src, ignore_errors=True)
+                else:
+                    shutil.copy2(src, dst)
+                    os.remove(src)
+                logger.info("Copied '%s' back after update", name)
+            except Exception as exc:
+                logger.error("Failed to restore '%s': %s", name, exc)
+    shutil.rmtree(backup_root, ignore_errors=True)
+
+
+
 class UpdateRoutes:
     """Routes for handling plugin update checks"""
     
@@ -47,6 +125,7 @@ class UpdateRoutes:
         app.router.add_get('/api/lm/check-updates', UpdateRoutes.check_updates)
         app.router.add_get('/api/lm/version-info', UpdateRoutes.get_version_info)
         app.router.add_post('/api/lm/perform-update', UpdateRoutes.perform_update)
+        app.router.add_post('/api/lm/switch-channel', UpdateRoutes.switch_channel)
     
     @staticmethod
     async def check_updates(request):
@@ -65,10 +144,17 @@ class UpdateRoutes:
 
             # Fetch remote version from GitHub
             if nightly:
-                remote_version, changelog = await UpdateRoutes._get_nightly_version()
+                local_hash = git_info.get('short_hash', '')
-                releases = None
+                nightly_version, releases_result = await asyncio.gather(
+                    UpdateRoutes._get_nightly_version(local_hash),
+                    UpdateRoutes._get_remote_version()
+                )
+                remote_version, _, behind_by, commit_date = nightly_version
+                _, changelog, releases = releases_result
             else:
                 remote_version, changelog, releases = await UpdateRoutes._get_remote_version()
+                behind_by = 0
+                commit_date = ''
             
             # Compare versions
             if nightly:
@@ -81,6 +167,10 @@ class UpdateRoutes:
                     remote_version.replace('v', '')
                 )
             
+            current_dir = os.path.dirname(os.path.abspath(__file__))
+            plugin_root = os.path.dirname(os.path.dirname(current_dir))
+            has_git = os.path.exists(os.path.join(plugin_root, '.git'))
+
             response_data = {
                 'success': True,
                 'current_version': local_version,
@@ -88,13 +178,13 @@ class UpdateRoutes:
                 'update_available': update_available,
                 'changelog': changelog,
                 'git_info': git_info,
-                'nightly': nightly
+                'nightly': nightly,
+                'has_git': has_git,
+                'releases': releases,
+                'behind_by': behind_by,
+                'commit_date': commit_date
             }
             
-            # Include releases list for stable mode
-            if releases is not None:
-                response_data['releases'] = releases
-            
             return web.json_response(response_data)
             
         except NETWORK_EXCEPTIONS as e:
@@ -126,9 +216,14 @@ class UpdateRoutes:
             # Format: version-short_hash
             version_string = f"{local_version}-{short_hash}"
             
+            current_dir = os.path.dirname(os.path.abspath(__file__))
+            plugin_root = os.path.dirname(os.path.dirname(current_dir))
+            has_git = os.path.exists(os.path.join(plugin_root, '.git'))
+
             return web.json_response({
                 'success': True,
-                'version': version_string
+                'version': version_string,
+                'has_git': has_git
             })
             
         except Exception as e:
@@ -156,20 +251,22 @@ class UpdateRoutes:
             if os.path.exists(settings_path):
                 with open(settings_path, 'r', encoding='utf-8') as f:
                     settings_backup = f.read()
-                logger.info("Backed up settings.json")
+                logger.debug("Backed up settings.json (%d bytes)", len(settings_backup))
 
-            git_folder = os.path.join(plugin_root, '.git')
+            staged_backup_dir, staged_items = _stage_preserved_items(plugin_root)
-            if os.path.exists(git_folder):
+            try:
-                # Git update
+                git_folder = os.path.join(plugin_root, '.git')
-                success, new_version = await UpdateRoutes._perform_git_update(plugin_root, nightly)
+                if os.path.exists(git_folder):
-            else:
+                    success, new_version = await UpdateRoutes._perform_git_update(plugin_root, nightly)
-                # Fallback: Download ZIP and replace files
+                else:
-                success, new_version = await UpdateRoutes._download_and_replace_zip(plugin_root)
+                    success, new_version = await UpdateRoutes._download_and_replace_zip(plugin_root)
+            finally:
+                _restore_preserved_items(plugin_root, staged_backup_dir, staged_items)
 
             if settings_backup and success:
                 with open(settings_path, 'w', encoding='utf-8') as f:
                     f.write(settings_backup)
-                logger.info("Restored settings.json")
+                logger.debug("Restored settings.json content (%d bytes)", len(settings_backup))
 
             if success:
                 return web.json_response({
@@ -190,6 +287,164 @@ class UpdateRoutes:
                 'error': str(e)
             })
 
+    @staticmethod
+    async def switch_channel(request):
+        """
+        Switch between release and nightly update channels.
+
+        ZIP/CNR install → Nightly: git init + checkout main (one-way upgrade)
+        Git install → Release:   git checkout latest tag (.git preserved)
+        ZIP/CNR install → Release: ZIP download (no .git, stays in ZIP mode)
+        Git install → Nightly:   git checkout main + pull
+        """
+        try:
+            body = await request.json() if request.has_body else {}
+            channel = body.get('channel', '')
+
+            if channel not in ('release', 'nightly'):
+                return web.json_response({
+                    'success': False,
+                    'error': f'Invalid channel: {channel}. Must be "release" or "nightly".'
+                })
+
+            current_dir = os.path.dirname(os.path.abspath(__file__))
+            plugin_root = os.path.dirname(os.path.dirname(current_dir))
+
+            settings_path = ensure_settings_file(logger)
+            settings_backup = None
+            if os.path.exists(settings_path):
+                with open(settings_path, 'r', encoding='utf-8') as f:
+                    settings_backup = f.read()
+                logger.debug("Backed up settings.json before channel switch (%d bytes)", len(settings_backup))
+
+            staged_backup_dir, staged_items = _stage_preserved_items(plugin_root)
+            try:
+                git_folder = os.path.join(plugin_root, '.git')
+
+                if channel == 'nightly':
+                    git_backup = None
+                    if os.path.exists(git_folder):
+                        git_backup = UpdateRoutes._backup_git(git_folder, 'nightly')
+
+                    success = False
+                    new_version = ''
+                    try:
+                        if os.path.exists(git_folder):
+                            success, new_version = await UpdateRoutes._perform_git_update(
+                                plugin_root, nightly=True
+                            )
+                        else:
+                            success, new_version = UpdateRoutes._init_git_repo(plugin_root)
+                    finally:
+                        UpdateRoutes._restore_git(git_backup, git_folder, success, 'nightly')
+                else:
+                    success = False
+                    new_version = ''
+                    if os.path.exists(git_folder):
+                        success, new_version = await UpdateRoutes._perform_git_update(
+                            plugin_root, nightly=False
+                        )
+                    else:
+                        tracking_file = os.path.join(plugin_root, '.tracking')
+                        if os.path.exists(tracking_file):
+                            os.remove(tracking_file)
+                        success, new_version = await UpdateRoutes._download_and_replace_zip(plugin_root)
+            finally:
+                _restore_preserved_items(plugin_root, staged_backup_dir, staged_items)
+
+            if settings_backup and success:
+                with open(settings_path, 'w', encoding='utf-8') as f:
+                    f.write(settings_backup)
+                logger.debug("Restored settings.json content after channel switch (%d bytes)", len(settings_backup))
+
+            if success:
+                return web.json_response({
+                    'success': True,
+                    'channel': channel,
+                    'new_version': new_version,
+                    'message': f'Switched to {channel} channel'
+                })
+            else:
+                return web.json_response({
+                    'success': False,
+                    'error': f'Failed to switch to {channel} channel'
+                })
+
+        except Exception as e:
+            logger.error("Failed to switch channel: %s", e, exc_info=True)
+            return web.json_response({
+                'success': False,
+                'error': str(e)
+            })
+
+    @staticmethod
+    def _init_git_repo(plugin_root: str) -> tuple[bool, str]:
+        """
+        Initialize a Git repository in a ZIP-installed plugin folder.
+        Clones the remote history and checks out main branch.
+        """
+        try:
+            import git
+        except ImportError:
+            logger.error(
+                "GitPython is not available: cannot initialize git repo. "
+                "Install git or set $GIT_PYTHON_GIT_EXECUTABLE to the git binary path."
+            )
+            return False, ""
+
+        clean_excludes = _clean_excludes()
+
+        try:
+            repo = git.Repo.init(plugin_root)
+            origin = repo.create_remote(
+                'origin',
+                'https://github.com/willmiao/ComfyUI-Lora-Manager.git'
+            )
+            origin.fetch()
+
+            repo.create_head('main', origin.refs.main)
+            repo.git.checkout('main', '--force')
+            repo.git.reset('--hard')
+            repo.git.clean('-fd', *clean_excludes)
+
+            tracking_file = os.path.join(plugin_root, '.tracking')
+            if os.path.exists(tracking_file):
+                os.remove(tracking_file)
+                logger.info("Removed .tracking file (now in git mode)")
+
+            new_version = f"main-{repo.head.commit.hexsha[:7]}"
+            logger.info("Initialized git repo on main branch: %s", new_version)
+            return True, new_version
+
+        except Exception as e:
+            logger.error("Failed to initialize git repo: %s", e, exc_info=True)
+            return False, ""
+
+    @staticmethod
+    def _backup_git(git_folder, label):
+        try:
+            backup_dir = tempfile.mkdtemp()
+            backup = os.path.join(backup_dir, '.git')
+            shutil.copytree(git_folder, backup)
+            logger.info("Backed up .git before switching to %s", label)
+            return backup
+        except Exception as e:
+            logger.error("Failed to backup .git before %s switch: %s", label, e)
+            return None
+
+    @staticmethod
+    def _restore_git(git_backup, git_folder, success, label):
+        if git_backup and not success:
+            try:
+                if os.path.exists(git_folder):
+                    shutil.rmtree(git_folder)
+                shutil.copytree(git_backup, git_folder)
+                logger.info("Restored .git after failed %s switch", label)
+            except Exception as e:
+                logger.error("Failed to restore .git after %s switch: %s", label, e)
+        if git_backup:
+            shutil.rmtree(os.path.dirname(git_backup), ignore_errors=True)
+
     @staticmethod
     async def _download_and_replace_zip(plugin_root: str) -> tuple[bool, str]:
         """
@@ -244,8 +499,7 @@ class UpdateRoutes:
             except Exception:
                 logger.debug("Could not close downloaded-version history database", exc_info=True)
 
-            # Skip settings.json, civitai, model cache and runtime cache folders
+            UpdateRoutes._clean_plugin_folder(plugin_root, skip_files=list(_PRESERVE_DIRS))
-            UpdateRoutes._clean_plugin_folder(plugin_root, skip_files=['settings.json', 'civitai', 'model_cache', 'cache', 'wildcards', 'backups', 'stats'])
 
             # Extract ZIP to temp dir
             with tempfile.TemporaryDirectory() as tmp_dir:
@@ -255,7 +509,7 @@ class UpdateRoutes:
                     extracted_root = next(os.scandir(tmp_dir)).path
 
                     # Copy files, skipping user data that should be preserved
-                    skip_items = {'settings.json', 'civitai', 'wildcards', 'backups', 'stats'}
+                    skip_items = set(_PRESERVE_DIRS)
                     for item in os.listdir(extracted_root):
                         if item in skip_items:
                             continue
@@ -272,7 +526,7 @@ class UpdateRoutes:
                     # for ComfyUI Manager to work properly
                     tracking_info_file = os.path.join(plugin_root, '.tracking')
                     tracking_files = []
-                    skip_tracked = {'civitai', 'wildcards', 'backups', 'stats'}
+                    skip_tracked = set(_PRESERVE_DIRS) - {'settings.json'}
                     for root, dirs, files in os.walk(extracted_root):
                         # Skip user data directories and their contents
                         rel_root = os.path.relpath(root, extracted_root)
@@ -295,7 +549,8 @@ class UpdateRoutes:
         except Exception as e:
             logger.error(f"ZIP update failed: {e}", exc_info=True)
             return False, ""
-        
+
+    @staticmethod
     def _clean_plugin_folder(plugin_root, skip_files=None):
         skip_files = skip_files or []
         for item in os.listdir(plugin_root):
@@ -308,41 +563,54 @@ class UpdateRoutes:
                 os.remove(path)
     
     @staticmethod
-    async def _get_nightly_version() -> tuple[str, List[str]]:
+    async def _get_nightly_version(local_hash: str = "") -> tuple[str, List[str], int, str]:
-        """
-        Fetch latest commit from main branch
-        """
         repo_owner = "willmiao"
         repo_name = "ComfyUI-Lora-Manager"
-        
+
-        # Use GitHub API to fetch the latest commit from main branch
         github_url = f"https://api.github.com/repos/{repo_owner}/{repo_name}/commits/main"
-        
+
         try:
             downloader = await get_downloader()
-            success, data = await downloader.make_request('GET', github_url, custom_headers={'Accept': 'application/vnd.github+json'})
+            success, data = await downloader.make_request(
-            
+                'GET', github_url,
+                custom_headers={'Accept': 'application/vnd.github+json'}
+            )
+
             if not success:
-                logger.warning(f"Failed to fetch GitHub commit: {data}")
+                logger.warning("Failed to fetch GitHub commit: %s", data)
-                return "main", []
+                return "main", [], 0, ""
-            
+
-            commit_sha = data.get('sha', '')[:7]  # Short hash
+            commit_sha = data.get('sha', '')[:7]
             commit_message = data.get('commit', {}).get('message', '')
-            
+            commit_date = data.get('commit', {}).get('committer', {}).get('date', '')[:10]
-            # Format as "main-{short_hash}"
+
             version = f"main-{commit_sha}"
-            
-            # Use commit message as changelog
             changelog = [commit_message] if commit_message else []
-            
+
-            return version, changelog
+            behind_by = 0
-        
+            if local_hash and local_hash not in ('unknown', 'stable'):
+                compare_url = (
+                    f"https://api.github.com/repos/{repo_owner}/{repo_name}"
+                    f"/compare/{local_hash}...main"
+                )
+                c_ok, c_data = await downloader.make_request(
+                    'GET', compare_url,
+                    custom_headers={'Accept': 'application/vnd.github+json'}
+                )
+                if c_ok:
+                    if c_data.get('status') in ('ahead', 'diverged'):
+                        behind_by = c_data.get('ahead_by', 0)
+                    else:
+                        behind_by = c_data.get('behind_by', 0)
+
+            return version, changelog, behind_by, commit_date
+
         except NETWORK_EXCEPTIONS as e:
             logger.warning("Unable to reach GitHub for nightly version: %s", e)
-            return "main", []
+            return "main", [], 0, ""
         except Exception as e:
-            logger.error(f"Error fetching nightly version: {e}", exc_info=True)
+            logger.error("Error fetching nightly version: %s", e, exc_info=True)
-            return "main", []
+            return "main", [], 0, ""
     
     @staticmethod
     def _compare_nightly_versions(local_git_info: Dict[str, str], remote_version: str) -> bool:

py/services/base_model_service.py

@@ -1,7 +1,7 @@
 from abc import ABC, abstractmethod
 import asyncio
 import re
-from typing import Any, Dict, List, Optional, Type, TYPE_CHECKING
+from typing import Any, Dict, List, Optional, Type, Union, TYPE_CHECKING
 import logging
 import os
 import time
@@ -109,12 +109,15 @@ class BaseModelService(ABC):
         if civitai_model_id is not None:
             sorted_data = [
                 item for item in sorted_data
-                if self._extract_model_id(item) == civitai_model_id
+                if self._extract_group_key(item) == civitai_model_id
             ]
             # VLM mode: always sort by version ID descending (newest version first),
             # regardless of the current sort_by preference.
+            # Fall back to modified timestamp for non-CivitAI sources.
             sorted_data.sort(
-                key=lambda x: self._extract_version_id(x) or 0,
+                key=lambda x: self._extract_version_id(x)
+                or x.get("modified", 0)
+                or 0,
                 reverse=True,
             )
 
@@ -129,18 +132,21 @@ class BaseModelService(ABC):
             ufs = self.settings.get("version_grouping", "same_base")
             group_by_base = ufs == "same_base"
 
-            dedup_map = {}  # (modelId [,base_model]) -> (item, version_id)
+            dedup_map = {}  # (modelId [,base_model]) -> (item, version_or_modified)
             version_counter = {}  # same-key -> count
             standalone = []
             for item in sorted_data:
-                mid = self._extract_model_id(item)
+                mid = self._extract_group_key(item)
                 if mid is None:
                     standalone.append(item)
                     continue
                 key = (mid, item.get("base_model") or "") if group_by_base else mid
                 # Count all versions per key
                 version_counter[key] = version_counter.get(key, 0) + 1
-                vid = self._extract_version_id(item) or 0
+                # Prefer CivitAI version_id; fall back to modified timestamp
+                vid = self._extract_version_id(item)
+                if vid is None:
+                    vid = item.get("modified", 0) or 0
                 if key not in dedup_map or vid > dedup_map[key][1]:
                     dedup_map[key] = (item, vid)
             # Attach version_count to each surviving grouped item (shallow copy
@@ -174,16 +180,19 @@ class BaseModelService(ABC):
                 model_groups: Dict[Any, List[Dict]] = {}
                 ungrouped_standalone: List[Dict] = []
                 for item in sorted_data:
-                    mid = self._extract_model_id(item)
+                    mid = self._extract_group_key(item)
                     if mid is None:
                         ungrouped_standalone.append(item)
                         continue
                     key = (mid, item.get("base_model") or "") if group_by_base else mid
                     model_groups.setdefault(key, []).append(item)
-                # Sort versions within each group by version id descending
+                # Sort versions within each group by version id (descending);
+                # fall back to modified timestamp for non-CivitAI sources.
                 for items in model_groups.values():
                     items.sort(
-                        key=lambda x: self._extract_version_id(x) or 0,
+                        key=lambda x: self._extract_version_id(x)
+                        or x.get("modified", 0)
+                        or 0,
                         reverse=True,
                     )
                 # Sort groups by version count
@@ -697,6 +706,33 @@ class BaseModelService(ABC):
 
         return annotated
 
+    @staticmethod
+    def _extract_hf_group_key(item: Dict) -> Optional[str]:
+        """Extract `hf:{owner}/{repo}` from item's ``hf_url``, or None."""
+        hf_url = item.get("hf_url") if isinstance(item, dict) else None
+        if not hf_url or not isinstance(hf_url, str):
+            return None
+        m = re.match(
+            r"https?://huggingface\.co/([^/]+/[^/]+)", hf_url.strip()
+        )
+        if not m:
+            return None
+        return f"hf:{m.group(1)}"
+
+    @staticmethod
+    def _extract_group_key(item: Dict) -> Union[int, str, None]:
+        """Return the group identity key: CivitAI modelId (int) or HF repo (str).
+
+        Preference order:
+        1. CivitAI ``modelId`` (int)
+        2. HF repo identity ``hf:{owner}/{repo}`` (str)
+        3. ``None`` (no known grouping source)
+        """
+        mid = BaseModelService._extract_model_id(item)
+        if mid is not None:
+            return mid
+        return BaseModelService._extract_hf_group_key(item)
+
     @staticmethod
     def _extract_model_id(item: Dict) -> Optional[int]:
         civitai = item.get("civitai") if isinstance(item, dict) else None
@@ -804,6 +840,12 @@ class BaseModelService(ABC):
         """Get top tags sorted by frequency"""
         return await self.scanner.get_top_tags(limit)
 
+    async def search_tags(
+        self, query: str, limit: int = 50
+    ) -> List[Dict]:
+        """Search tags by substring, sorted by frequency"""
+        return await self.scanner.search_tags(query, limit)
+
     async def get_base_models(self, limit: int = 20) -> List[Dict]:
         """Get base models sorted by frequency"""
         return await self.scanner.get_base_models(limit)

py/services/download_manager.py

@@ -1389,7 +1389,17 @@ class DownloadManager:
 
             # Update save directory with relative path if provided
             if relative_path:
+                base_save_dir = save_dir
                 save_dir = os.path.join(save_dir, relative_path)
+                # Security: validate path containment after joining
+                resolved_dir = os.path.abspath(os.path.normpath(save_dir))
+                base_dir = os.path.abspath(os.path.normpath(base_save_dir))
+                if not resolved_dir.startswith(base_dir + os.sep) and resolved_dir != base_dir:
+                    logger.warning(
+                        "Path traversal detected: %s escapes %s",
+                        resolved_dir, base_dir,
+                    )
+                    return {"success": False, "error": "Download path is outside allowed directory"}
                 # Create directory if it doesn't exist
                 os.makedirs(save_dir, exist_ok=True)
 
@@ -1827,6 +1837,9 @@ class DownloadManager:
             model_tags, model_type
         )
 
+        if not first_tag:
+            first_tag = "no tags"  # Default if no tags available
+
         # Format the template with available data
         formatted_path = path_template
         formatted_path = formatted_path.replace("{base_model}", mapped_base_model)
@@ -1842,6 +1855,15 @@ class DownloadManager:
         if model_type == "embedding":
             formatted_path = formatted_path.replace(" ", "_")
 
+        # Sanitize the resolved path to prevent path traversal:
+        # - Strip leading slashes (prevents os.path.join from treating path as absolute)
+        # - Collapse double slashes from empty placeholder substitutions
+        # - Strip trailing slashes for cleanliness
+        formatted_path = formatted_path.lstrip("/")
+        while "//" in formatted_path:
+            formatted_path = formatted_path.replace("//", "/")
+        formatted_path = formatted_path.rstrip("/")
+
         return formatted_path
 
     async def _execute_download(

py/services/download_queue_service.py

@@ -31,7 +31,7 @@ class DownloadQueueService:
     _instance: Optional[DownloadQueueService] = None
     _class_lock: asyncio.Lock = asyncio.Lock()
 
-    _SCHEMA = """
+    _SCHEMA_TABLES = """
         CREATE TABLE IF NOT EXISTS download_queue (
             download_id TEXT PRIMARY KEY,
             model_id INTEGER,
@@ -74,6 +74,9 @@ class DownloadQueueService:
         );
         CREATE INDEX IF NOT EXISTS idx_dh_completed ON download_history(completed_at DESC);
         CREATE INDEX IF NOT EXISTS idx_dh_status ON download_history(status);
+    """
+
+    _CREATE_UNIQUE_INDEX = """
         CREATE UNIQUE INDEX IF NOT EXISTS idx_dh_download_id
             ON download_history(download_id) WHERE download_id IS NOT NULL;
     """
@@ -115,10 +118,39 @@ class DownloadQueueService:
         if self._schema_initialized:
             return
         with self._connect() as conn:
-            conn.executescript(self._SCHEMA)
+            conn.executescript(self._SCHEMA_TABLES)
+
+            # Creating the unique index on download_history.download_id can
+            # fail if pre-existing rows have duplicate values (e.g. from a
+            # previous version that lacked the index).  Deduplicate first so
+            # that the migration does not crash on startup.
+            if not self._index_exists(conn, "idx_dh_download_id"):
+                self._remove_duplicate_download_ids(conn)
+                conn.executescript(self._CREATE_UNIQUE_INDEX)
+
             conn.commit()
         self._schema_initialized = True
 
+    @staticmethod
+    def _index_exists(conn: sqlite3.Connection, name: str) -> bool:
+        return conn.execute(
+            "SELECT 1 FROM sqlite_master WHERE type='index' AND name=?",
+            (name,),
+        ).fetchone() is not None
+
+    @staticmethod
+    def _remove_duplicate_download_ids(conn: sqlite3.Connection) -> None:
+        conn.execute("""
+            DELETE FROM download_history
+            WHERE id NOT IN (
+                SELECT MIN(id)
+                FROM download_history
+                WHERE download_id IS NOT NULL
+                GROUP BY download_id
+            )
+            AND download_id IS NOT NULL
+        """)
+
     def get_database_path(self) -> str:
         """Return the resolved database file path."""
         return self._db_path

py/services/llm_service.py

@@ -566,18 +566,52 @@ class LLMService:
         if effective_max is None:
             effective_max = 4096
 
-        result = await self.chat_completion(
+        # Use json_schema (not json_object) for broader provider compatibility:
-            messages=messages,
+        # LM Studio and some other OpenAI-compatible servers reject
-            model=model,
+        # json_object but accept json_schema.  {"type": "object"} is
-            temperature=temperature,
+        # functionally equivalent — it accepts any JSON object without
-            response_format={"type": "json_object"},
+        # constraining specific fields.
-            max_tokens=effective_max,
+        response_format = {
-        )
+            "type": "json_schema",
+            "json_schema": {
+                "name": "metadata",
+                "schema": {"type": "object"},
+            },
+        }
+
+        try:
+            result = await self.chat_completion(
+                messages=messages,
+                model=model,
+                temperature=temperature,
+                response_format=response_format,
+                max_tokens=effective_max,
+            )
+        except LLMResponseError as e:
+            # Only fall back when the provider rejects the response_format
+            # type value (e.g. "'response_format.type' must be...").  Avoid
+            # catching unrelated 400 errors whose body happens to mention
+            # "response_format" (e.g. "model does not support
+            # response_format restrictions on this endpoint").
+            if "'response_format.type'" not in str(e).lower():
+                raise
+            logger.info(
+                "Provider rejected response_format, retrying without it. "
+                "Falling back to prompt-only JSON mode. Error: %s",
+                e,
+            )
+            result = await self.chat_completion(
+                messages=messages,
+                model=model,
+                temperature=temperature,
+                response_format=None,
+                max_tokens=effective_max,
+            )
 
         content = result.get("content", "") or ""
         if not content:
             raise LLMResponseError(
-                "LLM returned empty content in json_object mode. "
+                "LLM returned empty content. "
                 f"Raw response: {json.dumps(result)[:500]}"
             )
 

py/services/model_file_service.py

@@ -8,6 +8,7 @@ from abc import ABC, abstractmethod
 from ..utils.utils import calculate_relative_path_for_model, remove_empty_dirs
 from ..utils.constants import AUTO_ORGANIZE_BATCH_SIZE
 from ..services.settings_manager import get_settings_manager
+from ..services.model_lifecycle_service import _require_path_in_library_roots
 
 logger = logging.getLogger(__name__)
 
@@ -493,6 +494,9 @@ class ModelMoveService:
             Dictionary with move result
         """
         try:
+            _require_path_in_library_roots(file_path, self.scanner, label="Source path")
+            _require_path_in_library_roots(target_path, self.scanner, label="Target path")
+
             if use_default_paths:
                 # Find the model in cache to get metadata
                 cache = await self.scanner.get_cached_data()

py/services/model_lifecycle_service.py

@@ -48,6 +48,36 @@ async def delete_model_artifacts(
     return deleted
 
 
+def _require_path_in_library_roots(file_path: str, scanner, *, label: str = "path") -> None:
+    """Raise ``ValueError`` if *file_path* is not inside a configured model root.
+
+    Uses ``os.path.abspath()`` (NOT ``realpath``) to resolve ``..`` and ``.``
+    while preserving symlinks — this keeps the check in business-path space.
+    Skips when the scanner does not expose ``get_model_roots`` or the list
+    is empty.
+    """
+
+    roots = None
+    if hasattr(scanner, "get_model_roots"):
+        try:
+            roots = scanner.get_model_roots()
+        except NotImplementedError:
+            roots = None
+    if not roots:
+        return
+
+    resolved = os.path.abspath(os.path.normpath(file_path))
+
+    for root in roots:
+        root_resolved = os.path.abspath(os.path.normpath(root))
+        if resolved == root_resolved or resolved.startswith(root_resolved + os.sep):
+            return
+
+    raise ValueError(
+        f"{label} '{file_path}' is outside configured library directories"
+    )
+
+
 class ModelLifecycleService:
     """Co-ordinate destructive and mutating model operations."""
 
@@ -74,6 +104,8 @@ class ModelLifecycleService:
         if not file_path:
             raise ValueError("Model path is required")
 
+        _require_path_in_library_roots(file_path, self._scanner, label="File path")
+
         cache = await self._scanner.get_cached_data()
 
         cached_entry = None
@@ -182,6 +214,8 @@ class ModelLifecycleService:
         if not file_path:
             raise ValueError("Model path is required")
 
+        _require_path_in_library_roots(file_path, self._scanner, label="File path")
+
         metadata_path = os.path.splitext(file_path)[0] + ".metadata.json"
         metadata = await self._metadata_loader(metadata_path)
         metadata["exclude"] = True
@@ -229,6 +263,8 @@ class ModelLifecycleService:
         if not file_path:
             raise ValueError("Model path is required")
 
+        _require_path_in_library_roots(file_path, self._scanner, label="File path")
+
         if not os.path.exists(file_path):
             raise ValueError("Model file does not exist")
 
@@ -270,6 +306,9 @@ class ModelLifecycleService:
         if not file_paths:
             raise ValueError("No file paths provided for deletion")
 
+        for path in file_paths:
+            _require_path_in_library_roots(path, self._scanner, label="File path")
+
         return await self._scanner.bulk_delete_models(file_paths)
 
     async def rename_model(
@@ -280,6 +319,8 @@ class ModelLifecycleService:
         if not file_path or not new_file_name:
             raise ValueError("File path and new file name are required")
 
+        _require_path_in_library_roots(file_path, self._scanner, label="File path")
+
         invalid_chars = {"/", "\\", ":", "*", "?", '"', "<", ">", "|"}
         if any(char in new_file_name for char in invalid_chars):
             raise ValueError("Invalid characters in file name")

py/services/model_scanner.py

@@ -14,7 +14,7 @@ from ..utils.metadata_manager import MetadataManager
 from ..utils.civitai_utils import resolve_license_info
 from .model_cache import ModelCache
 from .model_hash_index import ModelHashIndex
-from .model_lifecycle_service import delete_model_artifacts
+from .model_lifecycle_service import delete_model_artifacts, _require_path_in_library_roots
 from .service_registry import ServiceRegistry
 from .websocket_manager import ws_manager
 from .persistent_model_cache import get_persistent_cache
@@ -927,6 +927,25 @@ class ModelScanner:
                 # Update cache data
                 self._cache.raw_data = [item for item in self._cache.raw_data if item['file_path'] not in missing_files]
             
+            dedup_removed = 0
+            seen_paths: set = set()
+            deduped: list = []
+            for item in reversed(self._cache.raw_data):
+                path = item.get('file_path', '')
+                if path not in seen_paths:
+                    seen_paths.add(path)
+                    deduped.append(item)
+                else:
+                    for tag in item.get('tags', []):
+                        if tag in self._tags_count:
+                            self._tags_count[tag] = max(0, self._tags_count[tag] - 1)
+                            if self._tags_count[tag] == 0:
+                                del self._tags_count[tag]
+                    dedup_removed += 1
+            if dedup_removed > 0:
+                self._cache.raw_data = list(reversed(deduped))
+                total_removed += dedup_removed
+            
             # Resort cache if changes were made
             if total_added > 0 or total_removed > 0:
                 # Update folders list
@@ -1352,18 +1371,25 @@ class ModelScanner:
             # Update folder in metadata
             metadata_dict['folder'] = folder
             
-            # Add to cache
+            file_path = metadata_dict.get('file_path', '')
-            self._cache.raw_data.append(metadata_dict)
+            if file_path:
-            self._cache.add_to_version_index(metadata_dict)
+                old_entries = [item for item in self._cache.raw_data if item.get('file_path') == file_path]
+                for old_entry in old_entries:
+                    for tag in old_entry.get('tags', []):
+                        if tag in self._tags_count:
+                            self._tags_count[tag] = max(0, self._tags_count[tag] - 1)
+                            if self._tags_count[tag] == 0:
+                                del self._tags_count[tag]
+                self._hash_index.remove_by_path(file_path)
+                self._cache.raw_data = [item for item in self._cache.raw_data if item.get('file_path') != file_path]
+
+            for tag in metadata_dict.get('tags', []):
+                self._tags_count[tag] = self._tags_count.get(tag, 0) + 1
+
+            self._cache.raw_data.append(metadata_dict)
 
-            # Resort cache data
             await self._cache.resort()
             
-            # Update folders list
-            all_folders = set(self._cache.folders)
-            all_folders.add(folder)
-            self._cache.folders = sorted(list(all_folders), key=lambda x: x.lower())
-            
             # Update the hash index
             self._hash_index.add_entry(metadata_dict['sha256'], metadata_dict['file_path'])
             await self._persist_current_cache()
@@ -1394,6 +1420,9 @@ class ModelScanner:
                 
             base_name = os.path.splitext(os.path.basename(source_path))[0]
             source_dir = os.path.dirname(source_path)
+
+            _require_path_in_library_roots(source_path, self, label="Source path")
+            _require_path_in_library_roots(target_path, self, label="Target path")
             
             os.makedirs(target_path, exist_ok=True)
             
@@ -1830,7 +1859,32 @@ class ModelScanner:
         if limit == 0:
             return sorted_tags
         return sorted_tags[:limit]
-        
+
+    async def search_tags(
+        self, query: str, limit: int = 50
+    ) -> List[Dict[str, any]]:
+        """Search tags by case-insensitive substring match, sorted by count.
+
+        If query is empty, behaves like get_top_tags (returns top ``limit``
+        tags). If limit is 0, all matching tags are returned.
+        """
+        await self.get_cached_data()
+
+        normalized_query = (query or "").strip().lower()
+        if not normalized_query:
+            return await self.get_top_tags(limit if limit > 0 else 20)
+
+        matched = [
+            {"tag": tag, "count": count}
+            for tag, count in self._tags_count.items()
+            if normalized_query in tag.lower()
+        ]
+        matched.sort(key=lambda x: x["count"], reverse=True)
+
+        if limit == 0:
+            return matched
+        return matched[:limit]
+
     async def get_base_models(self, limit: int = 20) -> List[Dict[str, any]]:
         """Get base models sorted by count. If limit is 0, return all."""
         cache = await self.get_cached_data()
@@ -1946,6 +2000,8 @@ class ModelScanner:
                     break
 
                 try:
+                    _require_path_in_library_roots(file_path, self, label="File path")
+
                     target_dir = os.path.dirname(file_path)
                     base_name = os.path.basename(file_path)
                     file_name, main_extension = os.path.splitext(base_name)

py/services/recipe_scanner.py

@@ -21,7 +21,7 @@ from .checkpoint_scanner import CheckpointScanner
 from .settings_manager import get_settings_manager
 from .recipes.errors import RecipeNotFoundError
 from ..utils.civitai_utils import extract_civitai_image_id
-from ..utils.utils import calculate_recipe_fingerprint, fuzzy_match
+from ..utils.utils import calculate_recipe_fingerprint
 from natsort import natsorted
 import sys
 import re
@@ -1020,13 +1020,16 @@ class RecipeScanner:
 
         try:
             result = self._fts_index.search(search, fields)
-            # Return None if empty to trigger fuzzy fallback
+            # Return empty set for empty FTS results — do NOT fall back to
-            # Empty FTS results may indicate query syntax issues or need for fuzzy matching
+            # Python fuzzy matching, which freezes the server with 10k+ recipes.
+            # FTS5 prefix matching with unicode61 tokenizer correctly handles
+            # compound tokens (e.g. "illustrious" matches "path/illustrious/model").
+            # If FTS returns nothing, there are genuinely no matching recipes.
             if not result:
-                return None
+                return set()
             return result
         except Exception as exc:
-            logger.debug("FTS search failed, falling back to fuzzy search: %s", exc)
+            logger.debug("FTS search failed, falling back to title-only search: %s", exc)
             return None
 
     def _update_fts_index_for_recipe(
@@ -2079,49 +2082,14 @@ class RecipeScanner:
                         if str(item.get("id", "")) in fts_matching_ids
                     ]
                 else:
-                    # Fallback to fuzzy_match (slower but always available)
+                    # FTS index not yet built — return empty rather than
-                    # Build the search predicate based on search options
+                    # scanning 42k+ items in Python. The FTS background build
-                    def matches_search(item):
+                    # finishes in seconds; by the time a user navigates here
-                        # Search in title if enabled
+                    # and types a search, it is already available.
-                        if search_options.get("title", True):
+                    logger.debug(
-                            if fuzzy_match(str(item.get("title", "")), search):
+                        "FTS index not ready — search '%s' returning empty", search
-                                return True
+                    )
-
+                    filtered_data = []
-                        # Search in tags if enabled
-                        if search_options.get("tags", True) and "tags" in item:
-                            for tag in item["tags"]:
-                                if fuzzy_match(tag, search):
-                                    return True
-
-                        # Search in lora file names if enabled
-                        if search_options.get("lora_name", True) and "loras" in item:
-                            for lora in item["loras"]:
-                                if fuzzy_match(str(lora.get("file_name", "")), search):
-                                    return True
-
-                        # Search in lora model names if enabled
-                        if search_options.get("lora_model", True) and "loras" in item:
-                            for lora in item["loras"]:
-                                if fuzzy_match(str(lora.get("modelName", "")), search):
-                                    return True
-
-                        # Search in prompt and negative_prompt if enabled
-                        if search_options.get("prompt", True) and "gen_params" in item:
-                            gen_params = item["gen_params"]
-                            if fuzzy_match(str(gen_params.get("prompt", "")), search):
-                                return True
-                            if fuzzy_match(
-                                str(gen_params.get("negative_prompt", "")), search
-                            ):
-                                return True
-
-                        # No match found
-                        return False
-
-                    # Filter the data using the search predicate
-                    filtered_data = [
-                        item for item in filtered_data if matches_search(item)
-                    ]
 
             # Apply additional filters
             if filters:

py/services/use_cases/bulk_metadata_refresh_use_case.py

@@ -126,6 +126,7 @@ class BulkMetadataRefreshUseCase:
                         if sha256:
                             model["sha256"] = sha256
                             model["hash_status"] = "completed"
+                            hash_status = "completed"
                         else:
                             self._logger.error(f"Failed to calculate hash for {file_path}")
                             failures.append({"name": model.get("model_name", file_path or "Unknown"), "error": "Failed to calculate hash"})
@@ -148,6 +149,16 @@ class BulkMetadataRefreshUseCase:
                     continue
 
                 await MetadataManager.hydrate_model_data(model)
+
+                # hydrate_model_data replaces model with .metadata.json content,
+                # which may lack sha256. Restore from cache and persist the fix.
+                if not model.get("sha256"):
+                    model["sha256"] = sha256
+                    model["hash_status"] = model.get("hash_status", hash_status)
+                    data_to_save = model.copy()
+                    data_to_save.pop("folder", None)
+                    await MetadataManager.save_metadata(file_path, data_to_save)
+
                 result, error_msg = await self._metadata_sync.fetch_and_update_model(
                     sha256=model["sha256"],
                     file_path=model["file_path"],

py/services/wildcard_service.py

@@ -19,7 +19,7 @@ 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+$")
-_WEIGHTED_OPTION_PATTERN = re.compile(r"^\s*([0-9.]+)::")
+_WEIGHTED_OPTION_PATTERN = re.compile(r"^\s*-?\d+(\.\d+)?::")
 _NUMERIC_PATTERN = re.compile(r"^-?\d+(\.\d+)?$")
 
 
@@ -390,7 +390,7 @@ class WildcardService:
     ) -> str | None:
         keyword = _normalize_wildcard_key(raw_key)
         if keyword in wildcard_dict:
-            return rng.choice(wildcard_dict[keyword])
+            return self._pick_weighted_or_plain(wildcard_dict[keyword], rng)
 
         if "*" in keyword:
             regex_pattern = keyword.replace("*", ".*").replace("+", r"\+")
@@ -400,7 +400,7 @@ class WildcardService:
                 if compiled.match(key):
                     aggregated.extend(values)
             if aggregated:
-                return rng.choice(aggregated)
+                return self._pick_weighted_or_plain(aggregated, rng)
 
         if "/" not in keyword:
             fallback_keyword = _normalize_wildcard_key(f"*/{keyword}")
@@ -409,6 +409,39 @@ class WildcardService:
 
         return None
 
+    def _pick_weighted_or_plain(
+        self, values: list[str], rng: random.Random
+    ) -> str:
+        """Pick a value from the list, respecting N::weight prefix if present.
+
+        When any value in the list uses the ``N::value`` weighted syntax with a
+        weight different from 1, the pick uses weighted random selection.  When
+        no such weighting is present, a plain ``rng.choice`` is used (preserving
+        backward compatibility for unweighted wildcard files).
+
+        In either case the ``N::`` prefix is always stripped from the returned
+        value, matching the behaviour of ``{...}`` option groups.
+        """
+        # Fast path: skip weighting logic entirely when no :: syntax exists
+        if not any("::" in v for v in values):
+            return rng.choice(values)
+
+        weighted_options: list[tuple[float, str]] = []
+        for value in values:
+            weight = 1.0
+            parts = value.split("::", 1)
+            if len(parts) == 2 and _is_numeric_string(parts[0].strip()):
+                weight = float(parts[0].strip())
+            weighted_options.append((weight, value))
+
+        any_weighted = any(w != 1.0 for w, _ in weighted_options)
+        if any_weighted:
+            picked = self._weighted_choice(weighted_options, rng)
+        else:
+            picked = rng.choice(values)
+
+        return self._strip_weight_prefix(picked)
+
 
 def is_trigger_words_input(name: str) -> bool:
     return bool(_TRIGGER_WORD_PATTERN.match(name))

py/utils/constants.py

@@ -12,6 +12,7 @@ NODE_TYPES = {
     "Lora Loader (LoraManager)": 1,
     "Lora Stacker (LoraManager)": 2,
     "WanVideo Lora Select (LoraManager)": 3,
+    "Create Hook LoRA (LoraManager)": 4,
 }
 
 # Default ComfyUI node color when bgcolor is null

py/utils/example_images_metadata.py

@@ -475,13 +475,19 @@ class MetadataUpdater:
             return False
 
         model_folder = get_model_folder(model_hash)
-        if not model_folder:
+        if not model_folder or not os.path.isdir(model_folder):
             return False
 
         civitai = getattr(metadata, "civitai", None)
         if not isinstance(civitai, dict):
             return False
 
+        # Read the directory listing once so every image entry reuses it.
+        try:
+            dir_entries = os.listdir(model_folder)
+        except OSError:
+            dir_entries = []
+
         has_changes = False
 
         custom_images = civitai.get("customImages")
@@ -493,24 +499,15 @@ class MetadataUpdater:
                 if not img_id:
                     continue
 
-                if not os.path.isdir(model_folder):
+                prefix = f"custom_{img_id}"
+                found = any(
+                    f.startswith(prefix) and os.path.isfile(
+                        os.path.join(model_folder, f)
+                    )
+                    for f in dir_entries
+                )
+                if not found:
                     stale.append(idx)
-                else:
-                    found = False
-                    try:
-                        prefix = f"custom_{img_id}"
-                        for fname in os.listdir(model_folder):
-                            if fname.startswith(prefix) and os.path.isfile(
-                                os.path.join(model_folder, fname)
-                            ):
-                                found = True
-                                break
-                    except OSError:
-                        stale.append(idx)
-                        continue
-
-                    if not found:
-                        stale.append(idx)
 
             if stale:
                 for idx in reversed(stale):
@@ -532,22 +529,9 @@ class MetadataUpdater:
                     # is gone.
                     continue
 
-                if not os.path.isdir(model_folder):
+                prefix = f"image_{idx}."
+                if not any(f.startswith(prefix) for f in dir_entries):
                     stale.append(idx)
-                else:
-                    found = False
-                    try:
-                        prefix = f"image_{idx}."
-                        for fname in os.listdir(model_folder):
-                            if fname.startswith(prefix):
-                                found = True
-                                break
-                    except OSError:
-                        stale.append(idx)
-                        continue
-
-                    if not found:
-                        stale.append(idx)
 
             if stale:
                 for idx in reversed(stale):

py/utils/example_images_migration.py

@@ -3,9 +3,16 @@ import logging
 import os
 import re
 import json
+import shutil
 from ..services.settings_manager import get_settings_manager
 from ..services.service_registry import ServiceRegistry
-from ..utils.example_images_paths import iter_library_roots
+from ..utils.example_images_paths import (
+    get_example_images_root,
+    is_hash_folder,
+    iter_library_roots,
+    uses_library_scoped_folders,
+    _library_folder_has_only_hash_dirs,
+)
 from ..utils.metadata_manager import MetadataManager
 from ..utils.example_images_processor import ExampleImagesProcessor
 from ..utils.constants import SUPPORTED_MEDIA_EXTENSIONS
@@ -36,6 +43,90 @@ settings = _SettingsProxy()
 class ExampleImagesMigration:
     """Handles migrations for example images naming conventions"""
     
+    @staticmethod
+    def _consolidate_library_folders():
+        """Move hash folders from library-named subdirectories back to root.
+
+        When a user switches from multi-library mode back to single-library
+        mode, example images previously stored under e.g.
+        ``<root>/default/<hash>/`` need to be moved back to
+        ``<root>/<hash>/``.  Running this once at startup removes the need
+        for ``get_model_folder()`` to perform directory scans on every
+        request.
+        """
+        if uses_library_scoped_folders():
+            return
+
+        root = get_example_images_root()
+        if not root or not os.path.isdir(root):
+            return
+
+        moved: list[str] = []
+        cleaned: list[str] = []
+
+        try:
+            for entry in os.listdir(root):
+                # Fast regex checks first — no filesystem I/O.
+                if is_hash_folder(entry) or entry == "_deleted":
+                    continue
+
+                entry_path = os.path.join(root, entry)
+                if not os.path.isdir(entry_path):
+                    continue
+                if not _library_folder_has_only_hash_dirs(entry_path):
+                    continue
+
+                try:
+                    for hash_entry in os.listdir(entry_path):
+                        hash_path = os.path.join(entry_path, hash_entry)
+                        if not os.path.isdir(hash_path) or not is_hash_folder(hash_entry):
+                            continue
+                        target = os.path.join(root, hash_entry)
+                        if not os.path.exists(target):
+                            try:
+                                shutil.move(hash_path, target)
+                                moved.append(hash_entry)
+                            except (OSError, shutil.Error) as exc:
+                                logger.error(
+                                    "Failed to move '%s' → '%s': %s",
+                                    hash_path, target, exc,
+                                )
+                except OSError as exc:
+                    logger.error(
+                        "Failed to list library subdirectory '%s': %s",
+                        entry_path, exc,
+                    )
+
+                try:
+                    remaining = os.listdir(entry_path)
+                except OSError:
+                    remaining = []
+                if not remaining:
+                    try:
+                        os.rmdir(entry_path)
+                        cleaned.append(entry)
+                    except OSError as exc:
+                        logger.debug(
+                            "Could not remove empty library dir '%s': %s",
+                            entry_path, exc,
+                        )
+        except OSError as exc:
+            logger.error(
+                "Failed to list example images root during consolidation: %s",
+                exc,
+            )
+
+        if moved:
+            logger.info(
+                "Consolidated %d example image folder(s) to root",
+                len(moved),
+            )
+        if cleaned:
+            logger.info(
+                "Removed %d empty library directories",
+                len(cleaned),
+            )
+
     @staticmethod
     async def check_and_run_migrations():
         """Check if migrations are needed and run them in background"""
@@ -44,6 +135,10 @@ class ExampleImagesMigration:
             logger.debug("No example images path configured or path doesn't exist, skipping migrations")
             return
 
+        # Run library-to-root consolidation once at startup so the hot
+        # path (get_model_folder) stays a pure-path computation.
+        ExampleImagesMigration._consolidate_library_folders()
+
         for library_name, library_path in iter_library_roots():
             if not library_path or not os.path.exists(library_path):
                 continue

py/utils/example_images_paths.py

@@ -83,7 +83,12 @@ def ensure_library_root_exists(library_name: Optional[str] = None) -> str:
 
 
 def get_model_folder(model_hash: str, library_name: Optional[str] = None) -> str:
-    """Return the folder path for a model's example images."""
+    """Return the folder path for a model's example images.
+
+    Multi-library ↔ single-library consolidation is handled once at startup by
+    ``ExampleImagesMigration._consolidate_library_folders`` — this function is a
+    pure path computation on the hot path (no directory scans).
+    """
 
     if not model_hash:
         return ""
@@ -113,35 +118,6 @@ def get_model_folder(model_hash: str, library_name: Optional[str] = None) -> str
                     exc,
                 )
                 return legacy_folder
-    elif not os.path.exists(resolved_folder):
-        # Reverse migration: when consolidating from multi-library to
-        # single-library mode (e.g. after "default" was cleaned up), look
-        # for existing example images inside library-named subdirectories
-        # and bring them back to the root level.
-        root = get_example_images_root()
-        if root:
-            try:
-                for entry in os.listdir(root):
-                    entry_path = os.path.join(root, entry)
-                    if not os.path.isdir(entry_path):
-                        continue
-                    if is_hash_folder(entry) or entry == "_deleted":
-                        continue
-                    if not _library_folder_has_only_hash_dirs(entry_path):
-                        continue
-                    legacy = os.path.join(entry_path, normalized_hash)
-                    if os.path.exists(legacy):
-                        shutil.move(legacy, resolved_folder)
-                        logger.info(
-                            "Consolidated example images from '%s' to '%s'",
-                            legacy, resolved_folder,
-                        )
-                        break
-            except OSError as exc:
-                logger.error(
-                    "Failed to consolidate example images during "
-                    "library merge: %s", exc,
-                )
 
     return resolved_folder
 

py/utils/utils.py

@@ -488,6 +488,12 @@ def calculate_relative_path_for_model(
     if model_type == "embedding":
         formatted_path = formatted_path.replace(" ", "_")
 
+    # Sanitize the resolved path to prevent path traversal
+    formatted_path = formatted_path.lstrip("/")
+    while "//" in formatted_path:
+        formatted_path = formatted_path.replace("//", "/")
+    formatted_path = formatted_path.rstrip("/")
+
     return formatted_path
 
 

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-lora-manager"
 description = "Revolutionize your workflow with the ultimate LoRA companion for ComfyUI!"
-version = "1.1.7"
+version = "1.2.0"
 license = {file = "LICENSE"}
 dependencies = [
     "aiohttp",

static/css/components/modal/_base.css

@@ -151,6 +151,7 @@ body.modal-open {
 .support-section,
 .changelog-section,
 .update-info,
+.update-channels,
 .info-item,
 .path-preview {
     background: var(--surface-subtle);

static/css/components/modal/update-modal.css

@@ -93,15 +93,13 @@
 .update-content {
     display: flex;
     flex-direction: column;
-    gap: var(--space-3);
+    gap: var(--space-2);
 }
 
 .update-info {
     display: flex;
     justify-content: space-between;
     align-items: center;
-    border-radius: var(--border-radius-sm);
-    padding: var(--space-3);
 }
 
 .update-info .version-info {
@@ -175,7 +173,6 @@
     border: 1px solid var(--lora-border);
     border-radius: var(--border-radius-sm);
     padding: var(--space-2);
-    margin: var(--space-2) 0;
 }
 
 [data-theme="dark"] .update-progress {
@@ -233,11 +230,6 @@
 }
 
 /* Changelog section */
-.changelog-section {
-    border-radius: var(--border-radius-sm);
-    padding: var(--space-3);
-}
-
 .changelog-section h3 {
     margin-top: 0;
     margin-bottom: var(--space-2);
@@ -349,6 +341,131 @@
     text-decoration: underline;
 }
 
+/* Channel Toggle */
+.update-channels {
+}
+
+.channels-label {
+    font-size: 0.9em;
+    color: var(--text-color);
+    opacity: 0.8;
+    margin-bottom: 8px;
+}
+
+.channel-toggle {
+    display: flex;
+    gap: 0;
+    background: var(--lora-surface);
+    border-radius: 8px;
+    padding: 3px;
+    width: fit-content;
+}
+
+.channel-btn {
+    display: flex;
+    align-items: center;
+    gap: 6px;
+    padding: 8px 20px;
+    border: none;
+    border-radius: 6px;
+    background: transparent;
+    color: var(--text-secondary, #999);
+    cursor: pointer;
+    font-size: 0.9em;
+    font-weight: 500;
+    transition: all 0.2s ease;
+    white-space: nowrap;
+}
+
+.channel-btn:hover {
+    color: var(--text-primary, #ddd);
+    background: rgba(255, 255, 255, 0.04);
+}
+
+.channel-btn.active {
+    background: var(--lora-accent, #4285F4);
+    color: #fff;
+    box-shadow: 0 1px 3px rgba(0, 0, 0, 0.2);
+}
+
+.channel-btn.active i {
+    color: #fff;
+}
+
+.channel-btn i {
+    font-size: 0.85em;
+}
+
+/* Channel Switch Confirmation Overlay */
+.channel-switch-overlay {
+    position: fixed;
+    inset: 0;
+    background: rgba(0, 0, 0, 0.6);
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    z-index: 10000;
+    backdrop-filter: blur(2px);
+}
+
+.channel-switch-dialog {
+    background: var(--lora-surface);
+    border: 1px solid var(--border-color, rgba(255, 255, 255, 0.1));
+    border-radius: 12px;
+    padding: 28px 32px;
+    max-width: 420px;
+    width: 90%;
+    box-shadow: 0 8px 32px rgba(0, 0, 0, 0.4);
+}
+
+.channel-switch-dialog h3 {
+    margin: 0 0 12px;
+    font-size: 1.1em;
+    color: var(--text-primary, #eee);
+}
+
+.channel-switch-dialog p {
+    margin: 0 0 24px;
+    font-size: 0.9em;
+    color: var(--text-secondary, #aaa);
+    line-height: 1.6;
+}
+
+.channel-switch-actions {
+    display: flex;
+    justify-content: flex-end;
+    gap: 10px;
+}
+
+.channel-switch-cancel {
+    padding: 8px 18px;
+    border: 1px solid var(--border-color, rgba(255, 255, 255, 0.1));
+    border-radius: 6px;
+    background: transparent;
+    color: var(--text-secondary, #aaa);
+    cursor: pointer;
+    font-size: 0.9em;
+}
+
+.channel-switch-cancel:hover {
+    background: rgba(255, 255, 255, 0.04);
+}
+
+.channel-switch-confirm {
+    padding: 8px 18px;
+    border: none;
+    border-radius: 6px;
+    background: var(--lora-accent, #4285F4);
+    color: #fff;
+    cursor: pointer;
+    font-size: 0.9em;
+    font-weight: 500;
+}
+
+.channel-switch-confirm:hover {
+    opacity: 0.9;
+}
+
 /* Update preferences section */
 .update-preferences {
     border-top: 1px solid var(--lora-border);

static/css/components/search-filter.css

@@ -274,6 +274,11 @@
     font-style: italic;
 }
 
+/* Inline extra tags (selected but not in top-20/appended after API results) */
+.filter-tag.extra-tag {
+    border-style: dashed;
+}
+
 /* Ensure solid border and full opacity when active or excluded */
 .filter-tag.special-tag.active,
 .filter-tag.special-tag.exclude {

static/js/api/apiConfig.js

@@ -49,10 +49,6 @@ export const MODEL_CONFIG = {
  * @returns {Object} Object containing all API endpoints for the model type
  */
 export function getApiEndpoints(modelType) {
-    if (!Object.values(MODEL_TYPES).includes(modelType)) {
-        throw new Error(`Invalid model type: ${modelType}`);
-    }
-
     return {
         // Base CRUD operations
         list: `/api/lm/${modelType}/list`,
@@ -93,6 +89,7 @@ export function getApiEndpoints(modelType) {
         // Query operations
         scan: `/api/lm/${modelType}/scan`,
         topTags: `/api/lm/${modelType}/top-tags`,
+        searchTags: `/api/lm/${modelType}/search-tags`,
         baseModels: `/api/lm/${modelType}/base-models`,
         roots: `/api/lm/${modelType}/roots`,
         folders: `/api/lm/${modelType}/folders`,

static/js/components/ContextMenu/RecipeContextMenu.js

@@ -260,8 +260,9 @@ export class RecipeContextMenu extends BaseContextMenu {
                         strength: lora.strength || 1.0,
 
                         // Model identifiers
+                        modelId: lora.modelId || lora.model_id || civitaiInfo.modelId,
                         hash: modelFile?.hashes?.SHA256?.toLowerCase() || lora.hash,
-                        modelVersionId: civitaiInfo.id || lora.modelVersionId,
+                        id: civitaiInfo.id || lora.modelVersionId,
 
                         // Metadata
                         thumbnailUrl: civitaiInfo.images?.[0]?.url || '',

static/js/components/RecipeModal.js

@@ -1421,6 +1421,7 @@ class RecipeModal {
                         strength: lora.strength || 1.0,
 
                         // Model identifiers
+                        modelId: lora.modelId || lora.model_id || civitaiInfo.modelId,
                         hash: modelFile?.hashes?.SHA256?.toLowerCase() || lora.hash,
                         id: civitaiInfo.id || lora.modelVersionId,
 

static/js/components/shared/ModelCard.js

@@ -489,6 +489,12 @@ export function createModelCard(model, modelType) {
     const modelId = civitaiData?.modelId ?? civitaiData?.model_id;
     if (modelId !== undefined && modelId !== null && modelId !== '') {
         card.dataset.modelId = modelId;
+    } else if (model.hf_url) {
+        // For HF-only models, derive a group key from hf_url for version grouping
+        const match = model.hf_url.match(/https?:\/\/huggingface\.co\/([^/]+\/[^/]+)/);
+        if (match) {
+            card.dataset.modelId = 'hf:' + match[1];
+        }
     }
 
     // LoRA specific data

static/js/components/shared/ModelModal.js

@@ -473,7 +473,14 @@ export async function showModelModal(model, modelType) {
     const loadingExamplesText = translate('modals.model.loading.examples', {}, 'Loading examples...');
 
     const loadingVersionsText = translate('modals.model.loading.versions', {}, 'Loading versions...');
-    const civitaiModelId = modelWithFullData.civitai?.modelId || '';
+    // Use CivitAI modelId, or derive HF group key for HF-only models
+    let civitaiModelId = modelWithFullData.civitai?.modelId || '';
+    if (!civitaiModelId && modelWithFullData.hf_url) {
+        const match = modelWithFullData.hf_url.match(/https?:\/\/huggingface\.co\/([^/]+\/[^/]+)/);
+        if (match) {
+            civitaiModelId = 'hf:' + match[1];
+        }
+    }
     const civitaiVersionId = modelWithFullData.civitai?.id || '';
     const navAriaLabel = translate('modals.model.navigation.label', {}, 'Model navigation');
     const previousTitle = translate('modals.model.navigation.previousWithShortcut', {}, 'Previous model (←)');
@@ -885,7 +892,8 @@ function setupEventHandlers(filePath, modelType) {
             case 'view-creator':
                 const username = target.dataset.username;
                 if (username) {
-                    window.open(`https://civitai.com/user/${username}`, '_blank');
+                    const host = state.global.settings.civitai_host || 'civitai.com';
+                    window.open(`https://${host}/user/${username}`, '_blank');
                 }
                 break;
             case 'open-file-location':

static/js/components/shared/ModelVersionsTab.js

@@ -950,6 +950,26 @@ export function initVersionsTab({
             renderErrorState(container, translate('modals.model.versions.missingModelId', {}, 'This model is missing a Civitai model id.'));
             return;
         }
+        // HF group keys (e.g. "hf:user/repo") are not real CivitAI model IDs —
+        // skip the remote API call and show a helpful message instead.
+        const isHfGroupKey = typeof modelId === 'string' && modelId.startsWith('hf:');
+        if (isHfGroupKey) {
+            controller.isLoading = false;
+            controller.hasLoaded = true;
+            controller.record = null;
+            const hfMsg = translate(
+                'modals.model.versions.hfGroupInfo',
+                {},
+                'This is a HuggingFace model group. Open the library to see all versions in the grid.'
+            );
+            container.innerHTML = `
+                <div class="versions-empty-state">
+                    <i class="fas fa-info-circle"></i>
+                    <p>${escapeHtml(hfMsg)}</p>
+                </div>
+            `;
+            return;
+        }
         if (controller.hasLoaded && !forceRefresh) {
             return;
         }

static/js/managers/BulkManager.js

@@ -27,6 +27,8 @@ export class BulkManager {
 
         // Drag detection properties
         this.dragThreshold = 5; // Pixels to move before considering it a drag
+        this.dragDelayMs = 100; // Minimum hold time before a drag is treated as a marquee
+        this.minMarqueeSize = 10; // Minimum drag box (px) before a marquee counts as a selection
         this.mouseDownTime = 0;
         this.mouseDownPosition = { x: 0, y: 0 };
 
@@ -173,6 +175,19 @@ export class BulkManager {
         });
 
         eventManager.addHandler('mousemove', 'bulkManager-marquee-move', (e) => {
+            // Only track marquee/drag while the left button is physically held.
+            // mouseup can be missed (release outside the window, focus loss, driver quirks),
+            // so mousemove must verify the button state itself instead of relying on it.
+            if (!(e.buttons & 1)) {
+                if (this.isMarqueeActive) {
+                    this.endMarqueeSelection(e);
+                } else {
+                    this.mouseDownTime = 0;
+                    this.isDragging = false;
+                }
+                return false;
+            }
+
             if (this.isMarqueeActive) {
                 this.lastClientX = e.clientX;
                 this.lastClientY = e.clientY;
@@ -184,7 +199,10 @@ export class BulkManager {
                 const dy = e.clientY - this.mouseDownPosition.y;
                 const distance = Math.sqrt(dx * dx + dy * dy);
 
-                if (distance >= this.dragThreshold) {
+                // Require both enough movement AND enough hold time so quick
+                // click jitter from micro-movement input devices is not a marquee.
+                const heldTime = Date.now() - this.mouseDownTime;
+                if (heldTime >= this.dragDelayMs && distance >= this.dragThreshold) {
                     this.isDragging = true;
                     this.startMarqueeSelection(e, true);
                 }
@@ -1958,9 +1976,31 @@ export class BulkManager {
         // Remove visual feedback class
         document.body.classList.remove('marquee-selecting');
 
+        // Compute the actual drag box size in document coordinates, matching how
+        // updateMarqueeSelectionFromPosition tracks the rectangle. Client-space
+        // size would wrongly flag auto-scroll marquees (tiny pointer movement,
+        // large document-space box) as accidental clicks.
+        const container = document.querySelector('.page-content');
+        const scrollX = container?.scrollLeft || 0;
+        const scrollY = container?.scrollTop || 0;
+        const dragWidth = Math.abs((e.clientX + scrollX) - this.marqueeStartDoc.x);
+        const dragHeight = Math.abs((e.clientY + scrollY) - this.marqueeStartDoc.y);
+        const isTinyMarquee = dragWidth < this.minMarqueeSize && dragHeight < this.minMarqueeSize;
+
         // Get selection count
         const selectionCount = state.selectedModels.size;
 
+        // A tiny box (e.g. click jitter that happened to graze a card) is treated
+        // as an accidental click: undo any selection and leave bulk mode.
+        if (isTinyMarquee) {
+            this.clearSelection();
+            if (state.bulkMode) {
+                this.toggleBulkMode();
+            }
+            this.initialSelectedModels.clear();
+            return;
+        }
+
         // If no models were selected, exit bulk mode
         if (selectionCount === 0) {
             if (state.bulkMode) {

static/js/managers/DownloadManager.js

@@ -158,6 +158,7 @@ export class DownloadManager {
         this.modelVersionId = null;
         this.source = null;
         this.selectedFile = null;
+        this._isDiffusionModel = false;
 
         this.selectedFolder = '';
         this.batchModels = [];
@@ -787,24 +788,40 @@ export class DownloadManager {
     async proceedToLocationContent() {
 
         try {
-            // Fetch model roots
+            const _isDiffusionModel = this.selectedFile
-            const rootsData = await this.apiClient.fetchModelRoots();
+                ? (this.selectedFile.type === 'UNet' || this.selectedFile.type === 'Diffusion Model')
+                : (this.currentVersion?.files || []).some(
+                    f => f.type === 'UNet' || f.type === 'Diffusion Model'
+                );
+            this._isDiffusionModel = _isDiffusionModel;
+
+            let rootsData;
+            if (this._isDiffusionModel && this.apiClient.modelType === 'checkpoints') {
+                rootsData = await this.apiClient.fetchModelRoots('diffusion_model');
+            } else {
+                rootsData = await this.apiClient.fetchModelRoots();
+            }
             const modelRoot = document.getElementById('modelRoot');
             modelRoot.innerHTML = rootsData.roots.map(root =>
                 `<option value="${root}">${root}</option>`
             ).join('');
 
-            // Set default root if available
+            const singularType = this._isDiffusionModel
-            const singularType = this.apiClient.modelType.replace(/s$/, '');
+                ? 'unet'
+                : this.apiClient.modelType.replace(/s$/, '');
             const defaultRootKey = `default_${singularType}_root`;
             const defaultRoot = state.global.settings[defaultRootKey];
-            console.log(`Default root for ${this.apiClient.modelType}:`, defaultRoot);
+            console.log(`Default root for ${singularType}:`, defaultRoot);
             console.log('Available roots:', rootsData.roots);
             if (defaultRoot && rootsData.roots.includes(defaultRoot)) {
                 console.log(`Setting default root: ${defaultRoot}`);
                 modelRoot.value = defaultRoot;
             }
 
+            const subtypeDisplay = this._isDiffusionModel ? 'Diffusion Model' : this.apiClient.apiConfig.config.displayName;
+            document.getElementById('modelRootLabel').textContent =
+                translate('modals.download.selectTypeRoot', { type: subtypeDisplay });
+
             // Set autocomplete="off" on folderPath input
             const folderPathInput = document.getElementById('folderPath');
             if (folderPathInput) {
@@ -1776,13 +1793,15 @@ export class DownloadManager {
         const modelRoot = document.getElementById('modelRoot').value;
         const config = this.apiClient.apiConfig.config;
 
-        let fullPath = modelRoot || translate('modals.download.selectTypeRoot', { type: config.displayName });
+        const subtypeDisplay = this._isDiffusionModel ? 'Diffusion Model' : config.displayName;
+        let fullPath = modelRoot || translate('modals.download.selectTypeRoot', { type: subtypeDisplay });
 
         if (modelRoot) {
             if (this.useDefaultPath) {
-                // Show actual template path
                 try {
-                    const singularType = this.apiClient.modelType.replace(/s$/, '');
+                    const singularType = this._isDiffusionModel
+                        ? 'unet'
+                        : this.apiClient.modelType.replace(/s$/, '');
                     const templates = state.global.settings.download_path_templates;
                     const template = templates[singularType];
                     fullPath += `/${template}`;

static/js/managers/FilterManager.js

@@ -1,6 +1,7 @@
 import { getCurrentPageState } from '../state/index.js';
 import { showToast, updatePanelPositions } from '../utils/uiHelpers.js';
 import { getModelApiClient } from '../api/modelApiFactory.js';
+import { getApiEndpoints } from '../api/apiConfig.js';
 import { removeStorageItem, setStorageItem, getStorageItem } from '../utils/storageHelpers.js';
 import { MODEL_TYPE_DISPLAY_NAMES } from '../utils/constants.js';
 import { translate } from '../utils/i18nHelpers.js';
@@ -24,6 +25,12 @@ export class FilterManager {
         this.baseModelOptions = [];
         this.tagsLoaded = false;
 
+        // Tag search state
+        this.modelTagsSearchInput = document.getElementById('modelTagsSearchInput');
+        this.tagSearchDebounceTimer = null;
+        this.tagSearchAbortController = null;
+        this.tagSearchQuery = '';
+
         // Initialize preset manager
         this.presetManager = new FilterPresetManager({
             page: this.currentPage,
@@ -123,6 +130,60 @@ export class FilterManager {
                 this.renderBaseModelTags();
             });
         }
+
+        if (this.modelTagsSearchInput) {
+            this.modelTagsSearchInput.addEventListener('input', () => {
+                clearTimeout(this.tagSearchDebounceTimer);
+                this.tagSearchDebounceTimer = setTimeout(() => {
+                    this.handleTagSearchInput();
+                }, 150);
+            });
+        }
+    }
+
+    handleTagSearchInput() {
+        const query = (this.modelTagsSearchInput?.value || '').trim();
+        const trimmedQuery = query.toLowerCase();
+        if (trimmedQuery === this.tagSearchQuery) return;
+        this.tagSearchQuery = trimmedQuery;
+
+        if (!trimmedQuery) {
+            // Empty query: reload top tags (default/common view)
+            this.loadTopTags();
+            return;
+        }
+        this.searchTags(trimmedQuery);
+    }
+
+    async searchTags(query) {
+        // Abort any in-flight search request
+        if (this.tagSearchAbortController) {
+            this.tagSearchAbortController.abort();
+        }
+        this.tagSearchAbortController = new AbortController();
+        const controller = this.tagSearchAbortController;
+
+        try {
+            const tagsEndpoint = `${getApiEndpoints(this.currentPage).searchTags}?q=${encodeURIComponent(query)}&limit=20`;
+            const response = await fetch(tagsEndpoint, { signal: controller.signal });
+            if (!response.ok) throw new Error('Failed to search tags');
+            const data = await response.json();
+            if (controller.signal.aborted) return; // stale response
+            if (data.success && data.tags) {
+                this.createTagFilterElements(data.tags);
+            } else {
+                throw new Error('Invalid response format');
+            }
+        } catch (error) {
+            if (error.name === 'AbortError') return; // expected, ignore
+            console.error('Error searching tags:', error);
+            const tagsContainer = document.getElementById('modelTagsFilter');
+            if (tagsContainer) {
+                tagsContainer.innerHTML = '<div class="tags-error">Failed to search tags</div>';
+            }
+            const emptyState = document.getElementById('modelTagsEmptyState');
+            if (emptyState) emptyState.hidden = true;
+        }
     }
 
     getNormalizedSearchQuery(input) {
@@ -146,15 +207,24 @@ export class FilterManager {
     }
 
     async loadTopTags() {
+        // Abort any in-flight tag search request
+        if (this.tagSearchAbortController) {
+            this.tagSearchAbortController.abort();
+            this.tagSearchAbortController = null;
+        }
+        this.tagSearchQuery = '';
+
         try {
             // Show loading state
             const tagsContainer = document.getElementById('modelTagsFilter');
+            const emptyState = document.getElementById('modelTagsEmptyState');
             if (!tagsContainer) return;
+            if (emptyState) emptyState.hidden = true;
 
             tagsContainer.innerHTML = '<div class="tags-loading">Loading tags...</div>';
 
             // Determine the API endpoint based on the page type
-            const tagsEndpoint = `/api/lm/${this.currentPage}/top-tags?limit=20`;
+            const tagsEndpoint = `${getApiEndpoints(this.currentPage).topTags}?limit=20`;
 
             const response = await fetch(tagsEndpoint);
             if (!response.ok) throw new Error('Failed to fetch tags');
@@ -179,29 +249,38 @@ export class FilterManager {
 
     createTagFilterElements(tags) {
         const tagsContainer = document.getElementById('modelTagsFilter');
+        const emptyState = document.getElementById('modelTagsEmptyState');
         if (!tagsContainer) return;
 
         tagsContainer.innerHTML = '';
+        if (emptyState) emptyState.hidden = true;
 
         // Collect existing tag names from the API response
         const existingTagNames = new Set(tags.map(t => t.tag));
 
-        // Add any active filter tags that aren't in the top 20
+        // Collect active filter tags that aren't in the response (excluding __no_tags__)
+        const missingSelectedTags = [];
         if (this.filters.tags) {
             Object.keys(this.filters.tags).forEach(tagName => {
-                // Skip special tags like __no_tags__
                 if (tagName.startsWith('__')) return;
-
                 if (!existingTagNames.has(tagName)) {
-                    // Add this tag to the list with count 0 (unknown)
+                    missingSelectedTags.push({ tag: tagName, count: 0 });
-                    tags.push({ tag: tagName, count: 0 });
                     existingTagNames.add(tagName);
                 }
             });
         }
 
+        // Append missing selected tags after the API results so they appear inline
+        for (const t of missingSelectedTags) {
+            tags.push(t);
+        }
+
         if (!tags.length) {
-            tagsContainer.innerHTML = `<div class="no-tags">No ${this.currentPage === 'recipes' ? 'recipe ' : ''}tags available</div>`;
+            if (this.tagSearchQuery) {
+                if (emptyState) emptyState.hidden = false;
+            } else {
+                tagsContainer.innerHTML = `<div class="no-tags">No ${this.currentPage === 'recipes' ? 'recipe ' : ''}tags available</div>`;
+            }
             return;
         }
 
@@ -209,6 +288,10 @@ export class FilterManager {
             const tagEl = document.createElement('div');
             tagEl.className = 'filter-tag tag-filter';
             const tagName = tag.tag;
+
+            if (missingSelectedTags.some(t => t.tag === tagName)) {
+                tagEl.classList.add('extra-tag');
+            }
             tagEl.dataset.tag = tagName;
 
             // Show count only if it's > 0 (known count)
@@ -234,26 +317,28 @@ export class FilterManager {
             tagsContainer.appendChild(tagEl);
         });
 
-        // Add "No tags" as a special filter at the end
+        // Add "No tags" as a special filter at the end (skip during search)
-        const noTagsEl = document.createElement('div');
+        if (!this.tagSearchQuery) {
-        noTagsEl.className = 'filter-tag tag-filter special-tag';
+            const noTagsEl = document.createElement('div');
-        const noTagsLabel = translate('header.filter.noTags', {}, 'No tags');
+            noTagsEl.className = 'filter-tag tag-filter special-tag';
-        const noTagsKey = '__no_tags__';
+            const noTagsLabel = translate('header.filter.noTags', {}, 'No tags');
-        noTagsEl.dataset.tag = noTagsKey;
+            const noTagsKey = '__no_tags__';
-        noTagsEl.innerHTML = noTagsLabel;
+            noTagsEl.dataset.tag = noTagsKey;
+            noTagsEl.innerHTML = noTagsLabel;
 
-        noTagsEl.addEventListener('click', async () => {
+            noTagsEl.addEventListener('click', async () => {
-            const currentState = (this.filters.tags && this.filters.tags[noTagsKey]) || 'none';
+                const currentState = (this.filters.tags && this.filters.tags[noTagsKey]) || 'none';
-            const newState = this.getNextTriStateState(currentState);
+                const newState = this.getNextTriStateState(currentState);
-            this.setTagFilterState(noTagsKey, newState);
+                this.setTagFilterState(noTagsKey, newState);
-            this.applyTagElementState(noTagsEl, newState);
+                this.applyTagElementState(noTagsEl, newState);
 
-            this.updateActiveFiltersCount();
+                this.updateActiveFiltersCount();
 
-            await this.applyFilters(false);
+                await this.applyFilters(false);
-        });
+            });
 
-        tagsContainer.appendChild(noTagsEl);
+            tagsContainer.appendChild(noTagsEl);
+        }
         this.updateTagSelections();
     }
 
@@ -341,7 +426,7 @@ export class FilterManager {
         if (!baseModelTagsContainer) return;
 
         // Set the API endpoint based on current page
-        const apiEndpoint = `/api/lm/${this.currentPage}/base-models?limit=0`;
+        const apiEndpoint = `${getApiEndpoints(this.currentPage).baseModels}?limit=0`;
 
         // Fetch base models
         fetch(apiEndpoint)
@@ -644,10 +729,12 @@ export class FilterManager {
         const pageState = getCurrentPageState();
         const storageKey = `${this.currentPage}_filters`;
 
-        // Save filters to localStorage (exclude EMPTY_WILDCARD_MARKER)
+        // Save filters to localStorage (exclude EMPTY_WILDCARD_MARKER and transient search)
         const filtersSnapshot = this.cloneFilters();
         // Don't persist EMPTY_WILDCARD_MARKER - it's a runtime-only marker
         filtersSnapshot.baseModel = filtersSnapshot.baseModel.filter(m => m !== EMPTY_WILDCARD_MARKER);
+        // Don't persist search - it's transient and managed by SearchManager
+        delete filtersSnapshot.search;
         setStorageItem(storageKey, filtersSnapshot);
 
         // Update state with current filters
@@ -721,6 +808,16 @@ export class FilterManager {
             tagLogic: 'any'
         });
 
+        // Clear tag search input and reset search state
+        if (this.modelTagsSearchInput) {
+            this.modelTagsSearchInput.value = '';
+        }
+        this.tagSearchQuery = '';
+        if (this.tagSearchAbortController) {
+            this.tagSearchAbortController.abort();
+            this.tagSearchAbortController = null;
+        }
+
         // Update tag logic toggle UI
         this.updateTagLogicToggleUI();
 
@@ -731,6 +828,10 @@ export class FilterManager {
         // Update UI
         this.updateTagSelections();
         this.updateActiveFiltersCount();
+        // Reload tag area to drop any non-top-20 tags from the deactivated preset
+        if (this.tagsLoaded) {
+            await this.loadTopTags();
+        }
         this.presetManager.renderPresets(); // Re-render to remove active state
 
         // Remove from local Storage
@@ -885,6 +986,7 @@ export class FilterManager {
     }
 
     cloneFilters() {
+        const pageState = getCurrentPageState();
         return {
             ...this.filters,
             baseModel: [...(this.filters.baseModel || [])],
@@ -892,7 +994,8 @@ export class FilterManager {
             autoTags: { ...(this.filters.autoTags || {}) },
             license: { ...(this.filters.license || {}) },
             modelTypes: [...(this.filters.modelTypes || [])],
-            tagLogic: this.filters.tagLogic || 'any'
+            tagLogic: this.filters.tagLogic || 'any',
+            search: pageState?.filters?.search ?? ''
         };
     }
 

static/js/managers/FilterPresetManager.js

@@ -478,11 +478,9 @@ export class FilterPresetManager {
             const pageState = getCurrentPageState();
             pageState.filters = this.filterManager.cloneFilters();
 
-            // If tags haven't been loaded yet, load them first
+            // Refresh tag display so preset's non-top-20 tags appear inline
-            if (!this.filterManager.tagsLoaded) {
+            await this.filterManager.loadTopTags();
-                await this.filterManager.loadTopTags();
+            this.filterManager.tagsLoaded = true;
-                this.filterManager.tagsLoaded = true;
-            }
 
             // Check again after async operation
             if (requestId !== this.applyPresetRequestId) return;
@@ -745,8 +743,16 @@ export class FilterPresetManager {
                 presetEl.classList.add('active');
             }
 
-            presetEl.addEventListener('click', (e) => {
+            // Apply preset on click (toggle if already active)
-                e.stopPropagation();
+            // Bind to the whole .filter-preset div so clicking anywhere inside triggers apply
+            presetEl.addEventListener('click', async () => {
+                this.cancelPendingDelete();
+
+                if (this.activePreset === preset.name) {
+                    await this.filterManager.clearFilters();
+                } else {
+                    await this.applyPreset(preset.name);
+                }
             });
 
             const presetName = document.createElement('span');
@@ -759,18 +765,6 @@ export class FilterPresetManager {
             deleteBtn.innerHTML = '<i class="fas fa-times"></i>';
             deleteBtn.title = translate('header.filter.presetDeleteTooltip', {}, 'Delete preset');
 
-            // Apply preset on name click (toggle if already active)
-            presetName.addEventListener('click', async (e) => {
-                e.stopPropagation();
-                this.cancelPendingDelete();
-
-                if (this.activePreset === preset.name) {
-                    await this.filterManager.clearFilters();
-                } else {
-                    await this.applyPreset(preset.name);
-                }
-            });
-
             // Two-step delete on delete button click
             deleteBtn.addEventListener('click', (e) => {
                 e.stopPropagation();

static/js/managers/SettingsManager.js

@@ -1517,11 +1517,20 @@ export class SettingsManager {
         return data;
     }
 
-    async loadLoraRoots() {
+    showNoRootsPlaceholder(select) {
-        try {
+        select.innerHTML = '';
-            const defaultLoraRootSelect = document.getElementById('defaultLoraRoot');
+        const option = document.createElement('option');
-            if (!defaultLoraRootSelect) return;
+        option.value = '';
+        option.textContent = translate('settings.folderSettings.noDefault', {}, 'No Default');
+        select.appendChild(option);
+        select.disabled = true;
+    }
 
+    async loadLoraRoots() {
+        const defaultLoraRootSelect = document.getElementById('defaultLoraRoot');
+        if (!defaultLoraRootSelect) return;
+
+        try {
             // Fetch lora roots
             const response = await fetch('/api/lm/loras/roots');
             if (!response.ok) {
@@ -1530,10 +1539,12 @@ export class SettingsManager {
 
             const data = await response.json();
             if (!data.roots || data.roots.length === 0) {
-                throw new Error('No LoRA roots found');
+                this.showNoRootsPlaceholder(defaultLoraRootSelect);
+                return;
             }
 
             defaultLoraRootSelect.innerHTML = '';
+            defaultLoraRootSelect.disabled = false;
 
             // Add options for each root
             data.roots.forEach(root => {
@@ -1548,15 +1559,16 @@ export class SettingsManager {
 
         } catch (error) {
             console.error('Error loading LoRA roots:', error);
+            this.showNoRootsPlaceholder(defaultLoraRootSelect);
             showToast('toast.settings.loraRootsFailed', { message: error.message }, 'error');
         }
     }
 
     async loadCheckpointRoots() {
-        try {
+        const defaultCheckpointRootSelect = document.getElementById('defaultCheckpointRoot');
-            const defaultCheckpointRootSelect = document.getElementById('defaultCheckpointRoot');
+        if (!defaultCheckpointRootSelect) return;
-            if (!defaultCheckpointRootSelect) return;
 
+        try {
             // Fetch checkpoint roots (checkpoint paths only, not unet)
             const response = await fetch('/api/lm/checkpoints/checkpoints_roots');
             if (!response.ok) {
@@ -1565,10 +1577,12 @@ export class SettingsManager {
 
             const data = await response.json();
             if (!data.roots || data.roots.length === 0) {
-                throw new Error('No checkpoint roots found');
+                this.showNoRootsPlaceholder(defaultCheckpointRootSelect);
+                return;
             }
 
             defaultCheckpointRootSelect.innerHTML = '';
+            defaultCheckpointRootSelect.disabled = false;
 
             // Add options for each root
             data.roots.forEach(root => {
@@ -1583,15 +1597,16 @@ export class SettingsManager {
 
         } catch (error) {
             console.error('Error loading checkpoint roots:', error);
+            this.showNoRootsPlaceholder(defaultCheckpointRootSelect);
             showToast('toast.settings.checkpointRootsFailed', { message: error.message }, 'error');
         }
     }
 
     async loadUnetRoots() {
-        try {
+        const defaultUnetRootSelect = document.getElementById('defaultUnetRoot');
-            const defaultUnetRootSelect = document.getElementById('defaultUnetRoot');
+        if (!defaultUnetRootSelect) return;
-            if (!defaultUnetRootSelect) return;
 
+        try {
             // Fetch unet roots (diffusion model paths only)
             const response = await fetch('/api/lm/checkpoints/unet_roots');
             if (!response.ok) {
@@ -1600,10 +1615,12 @@ export class SettingsManager {
 
             const data = await response.json();
             if (!data.roots || data.roots.length === 0) {
-                throw new Error('No diffusion model roots found');
+                this.showNoRootsPlaceholder(defaultUnetRootSelect);
+                return;
             }
 
             defaultUnetRootSelect.innerHTML = '';
+            defaultUnetRootSelect.disabled = false;
 
             // Add options for each root
             data.roots.forEach(root => {
@@ -1618,15 +1635,16 @@ export class SettingsManager {
 
         } catch (error) {
             console.error('Error loading diffusion model roots:', error);
+            this.showNoRootsPlaceholder(defaultUnetRootSelect);
             showToast('toast.settings.unetRootsFailed', { message: error.message }, 'error');
         }
     }
 
     async loadEmbeddingRoots() {
-        try {
+        const defaultEmbeddingRootSelect = document.getElementById('defaultEmbeddingRoot');
-            const defaultEmbeddingRootSelect = document.getElementById('defaultEmbeddingRoot');
+        if (!defaultEmbeddingRootSelect) return;
-            if (!defaultEmbeddingRootSelect) return;
 
+        try {
             // Fetch embedding roots
             const response = await fetch('/api/lm/embeddings/roots');
             if (!response.ok) {
@@ -1635,10 +1653,12 @@ export class SettingsManager {
 
             const data = await response.json();
             if (!data.roots || data.roots.length === 0) {
-                throw new Error('No embedding roots found');
+                this.showNoRootsPlaceholder(defaultEmbeddingRootSelect);
+                return;
             }
 
             defaultEmbeddingRootSelect.innerHTML = '';
+            defaultEmbeddingRootSelect.disabled = false;
 
             // Add options for each root
             data.roots.forEach(root => {
@@ -1653,6 +1673,7 @@ export class SettingsManager {
 
         } catch (error) {
             console.error('Error loading embedding roots:', error);
+            this.showNoRootsPlaceholder(defaultEmbeddingRootSelect);
             showToast('toast.settings.embeddingRootsFailed', { message: error.message }, 'error');
         }
     }

static/js/managers/UpdateService.js

@@ -1,11 +1,12 @@
 import { modalManager } from './ModalManager.js';
-import { 
+import {
-    getStorageItem, 
+    getStorageItem,
-    setStorageItem, 
+    setStorageItem,
-    getStoredVersionInfo, 
+    getStoredVersionInfo,
     setStoredVersionInfo,
     isVersionMatch
 } from '../utils/storageHelpers.js';
+import { state } from '../state/index.js';
 import { bannerService } from './BannerService.js';
 import { translate } from '../utils/i18nHelpers.js';
 
@@ -24,7 +25,11 @@ export class UpdateService {
         this.updateNotificationsEnabled = getStorageItem('show_update_notifications', true);
         this.lastCheckTime = parseInt(getStorageItem('last_update_check') || '0');
         this.isUpdating = false;
-        this.nightlyMode = getStorageItem('nightly_updates', false);
+        this.channelMode = null;
+        this.hasGit = false;
+        this.nightlyNotifyDate = getStorageItem('nightly_notify_date', '');
+        this.nightlyBadgeShown = false;
+        this.progressKeepVisible = false;
         this.currentVersionInfo = null;
         this.versionMismatch = false;
         this.activeNotificationTab = 'updates';
@@ -49,43 +54,180 @@ export class UpdateService {
             updateBtn.addEventListener('click', () => this.performUpdate());
         }
         
-        // Register event listener for nightly update toggle
+        this.wireChannelButtons();
-        const nightlyCheckbox = document.getElementById('nightlyUpdateToggle');
-        if (nightlyCheckbox) {
-            nightlyCheckbox.checked = this.nightlyMode;
-            nightlyCheckbox.addEventListener('change', (e) => {
-                this.nightlyMode = e.target.checked;
-                setStorageItem('nightly_updates', e.target.checked);
-                this.updateNightlyWarning();
-                this.updateModalContent();
-                // Re-check for updates when switching channels
-                this.manualCheckForUpdates();
-            });
-            this.updateNightlyWarning();
-        }
 
         this.setupNotificationCenter();
         window.addEventListener('lm:banner-history-updated', this.handleBannerHistoryUpdated);
         this.updateTabBadges();
         
         // Perform update check if needed
-        this.checkForUpdates().then(() => {
+        this.checkVersionInfo().then(() => {
-            // Ensure badges are updated after checking
+            this.checkForUpdates().then(() => {
-            this.updateBadgeVisibility();
+                this.updateBadgeVisibility();
+            });
         });
 
-        // Immediately update modal content with current values (even if from default)
         this.updateModalContent();
-        
-        // Check version info for mismatch after loading basic info
-        this.checkVersionInfo();
     }
     
-    updateNightlyWarning() {
+    wireChannelButtons() {
-        const warning = document.getElementById('nightlyWarning');
+        const releaseBtn = document.getElementById('channelRelease');
-        if (warning) {
+        const nightlyBtn = document.getElementById('channelNightly');
-            warning.style.display = this.nightlyMode ? 'flex' : 'none';
+        if (releaseBtn) {
+            releaseBtn.addEventListener('click', () => this.switchChannel('release'));
         }
+        if (nightlyBtn) {
+            nightlyBtn.addEventListener('click', () => this.switchChannel('nightly'));
+        }
+    }
+
+    async switchChannel(channel) {
+        if (channel === this.channelMode) {
+            return;
+        }
+        if (this.isUpdating) {
+            return;
+        }
+        if (!this.hasGit && channel === 'nightly') {
+            const confirmed = await this._confirmChannelSwitch(
+                'update.channelSwitch.nightlyTitle',
+                'update.channelSwitch.nightlyMessage'
+            );
+            if (!confirmed) return;
+        }
+        if (this.hasGit && channel === 'release') {
+            const confirmed = await this._confirmChannelSwitch(
+                'update.channelSwitch.releaseTitle',
+                'update.channelSwitch.releaseMessage'
+            );
+            if (!confirmed) return;
+        }
+
+        try {
+            this.isUpdating = true;
+            this.showUpdateProgress(true);
+            this.updateProgress(10, translate('update.channelSwitch.switching', { channel }));
+
+            const response = await fetch('/api/lm/switch-channel', {
+                method: 'POST',
+                headers: { 'Content-Type': 'application/json' },
+                body: JSON.stringify({ channel })
+            });
+
+            const data = await response.json();
+
+            if (data.success) {
+                this.channelMode = channel;
+                // Persist channel preference to settings.json
+                fetch('/api/lm/settings', {
+                    method: 'POST',
+                    headers: { 'Content-Type': 'application/json' },
+                    body: JSON.stringify({ update_channel: channel })
+                }).then(r => {
+                    if (!r.ok) console.warn('Failed to persist update channel:', r.status);
+                }).catch(e => console.warn('Failed to persist update channel:', e));
+                await this.checkForUpdates({ force: true });
+                this.updateModalContent();
+                this.updateChannelUI();
+                this._showSwitchCompleteMessage(data.new_version);
+                this.progressKeepVisible = true;
+            } else {
+                throw new Error(data.error || translate('update.channelSwitch.failed'));
+            }
+        } catch (error) {
+            console.error('Channel switch failed:', error);
+            this.updateProgress(0, translate('update.channelSwitch.failed'));
+        } finally {
+            if (this.progressKeepVisible) {
+                this.isUpdating = false;
+                this.progressKeepVisible = false;
+            } else {
+                setTimeout(() => {
+                    this.showUpdateProgress(false);
+                    this.isUpdating = false;
+                }, 2000);
+            }
+        }
+    }
+
+    updateChannelUI() {
+        const releaseBtn = document.getElementById('channelRelease');
+        const nightlyBtn = document.getElementById('channelNightly');
+
+        if (releaseBtn) {
+            releaseBtn.classList.toggle('active', this.channelMode === 'release');
+        }
+        if (nightlyBtn) {
+            nightlyBtn.classList.toggle('active', this.channelMode === 'nightly');
+        }
+    }
+
+    _resolveChannelFromSettings() {
+        const stored = state?.global?.settings?.update_channel;
+        if (stored === 'nightly' || stored === 'release') {
+            return stored;
+        }
+        if (!this.hasGit) {
+            return 'release';
+        }
+        if (this.gitInfo?.branch === 'detached') {
+            return 'release';
+        }
+        return 'nightly';
+    }
+
+    async _confirmChannelSwitch(titleKey, messageKey) {
+        return new Promise((resolve) => {
+            const title = translate(titleKey);
+            const message = translate(messageKey);
+            const cancelText = translate('common.cancel');
+            const confirmText = translate('common.confirm');
+
+            const overlay = document.createElement('div');
+            overlay.className = 'channel-switch-overlay';
+            overlay.innerHTML = `
+                <div class="channel-switch-dialog">
+                    <h3>${title}</h3>
+                    <p>${message}</p>
+                    <div class="channel-switch-actions">
+                        <button class="secondary-btn channel-switch-cancel">${cancelText}</button>
+                        <button class="primary-btn channel-switch-confirm">${confirmText}</button>
+                    </div>
+                </div>
+            `;
+
+            const dismiss = (result) => {
+                document.removeEventListener('keydown', onKeydown);
+                overlay.remove();
+                resolve(result);
+            };
+
+            const onKeydown = (e) => {
+                if (e.key === 'Escape') {
+                    e.stopPropagation();
+                    e.preventDefault();
+                    dismiss(false);
+                }
+            };
+
+            document.addEventListener('keydown', onKeydown, { capture: true });
+
+            overlay.addEventListener('click', (e) => {
+                if (e.target === overlay) {
+                    dismiss(false);
+                }
+            });
+
+            overlay.querySelector('.channel-switch-cancel').addEventListener('click', () => {
+                dismiss(false);
+            });
+
+            overlay.querySelector('.channel-switch-confirm').addEventListener('click', () => {
+                dismiss(true);
+            });
+
+            document.body.appendChild(overlay);
+        });
     }
 
     setupNotificationCenter() {
@@ -355,6 +497,18 @@ export class UpdateService {
     }
     
     async checkForUpdates({ force = false } = {}) {
+        let needsMigration = false;
+        if (this.channelMode === null) {
+            const stored = state?.global?.settings?.update_channel;
+            if (stored === 'nightly' || stored === 'release') {
+                this.channelMode = stored;
+            } else if (!this.hasGit) {
+                this.channelMode = 'release';
+                needsMigration = true;
+            }
+            // hasGit=true with no stored value: wait for gitInfo.branch
+        }
+
         if (!force && !this.updateNotificationsEnabled) {
             return;
         }
@@ -373,7 +527,8 @@ export class UpdateService {
 
         try {
             // Call backend API to check for updates with nightly flag
-            const response = await fetch(`/api/lm/check-updates?nightly=${this.nightlyMode}`);
+            const nightly = (this.channelMode ?? (this.hasGit ? 'nightly' : 'release')) === 'nightly';
+            const response = await fetch(`/api/lm/check-updates?nightly=${nightly}`);
             const data = await response.json();
             
             if (data.success) {
@@ -381,17 +536,35 @@ export class UpdateService {
                 this.latestVersion = data.latest_version || "v0.0.0";
                 this.updateInfo = data;
                 this.gitInfo = data.git_info || this.gitInfo;
-                
+                this.hasGit = data.has_git || false;
-                // Explicitly set update availability based on version comparison
+
-                this.updateAvailable = this.isNewerVersion(this.latestVersion, this.currentVersion);
+                if (needsMigration || this.channelMode === null) {
-                
+                    this.channelMode = this._resolveChannelFromSettings();
-                // Update last check time
+                    if (state?.global?.settings) {
+                        state.global.settings.update_channel = this.channelMode;
+                    }
+                    fetch('/api/lm/settings', {
+                        method: 'POST',
+                        headers: { 'Content-Type': 'application/json' },
+                        body: JSON.stringify({ update_channel: this.channelMode })
+                    }).then(r => {
+                        if (!r.ok) console.warn('Failed to persist update channel:', r.status);
+                    }).catch(e => console.warn('Failed to persist update channel:', e));
+                }
+
+                this.updateAvailable = data.update_available;
+
+                // Nightly channel: surface the update badge at most once per calendar day.
+                if (this.updateAvailable && this.channelMode === 'nightly' && this.nightlyNotifyDate !== this._getTodayKey()) {
+                    this._markNightlyNotified();
+                }
+
                 this.lastCheckTime = now;
                 setStorageItem('last_update_check', now.toString());
-                
+
-                // Update UI
                 this.updateBadgeVisibility();
                 this.updateModalContent();
+                this.updateChannelUI();
 
                 console.log("Update check complete:", {
                     currentVersion: this.currentVersion,
@@ -435,6 +608,28 @@ export class UpdateService {
         
         return false;
     }
+
+    _getTodayKey() {
+        const now = new Date();
+        const month = String(now.getMonth() + 1).padStart(2, '0');
+        const day = String(now.getDate()).padStart(2, '0');
+        return `${now.getFullYear()}-${month}-${day}`;
+    }
+
+    _isNightlyBadgeAllowed() {
+        if (this.channelMode !== 'nightly') {
+            return true;
+        }
+        // Keep the badge visible for the rest of the session once shown, but do
+        // not show it again on later sessions within the same calendar day.
+        return this.nightlyNotifyDate !== this._getTodayKey() || this.nightlyBadgeShown;
+    }
+
+    _markNightlyNotified() {
+        this.nightlyNotifyDate = this._getTodayKey();
+        this.nightlyBadgeShown = true;
+        setStorageItem('nightly_notify_date', this.nightlyNotifyDate);
+    }
     
     updateBadgeVisibility() {
         const updateToggle = document.querySelector('.update-toggle');
@@ -443,9 +638,12 @@ export class UpdateService {
             ? bannerService.getUnreadBannerCount()
             : 0;
 
+        // Force updating badges visibility based on current state
+        const shouldShowUpdate = this.updateNotificationsEnabled && this.updateAvailable && this._isNightlyBadgeAllowed();
+
         if (updateToggle) {
             let tooltipKey = 'header.actions.notifications';
-            if (this.updateNotificationsEnabled && this.updateAvailable) {
+            if (shouldShowUpdate) {
                 tooltipKey = 'update.updateAvailable';
             } else if (unreadBanners > 0) {
                 tooltipKey = 'update.tabs.messages';
@@ -453,8 +651,6 @@ export class UpdateService {
             updateToggle.title = translate(tooltipKey);
         }
 
-        // Force updating badges visibility based on current state
-        const shouldShowUpdate = this.updateNotificationsEnabled && this.updateAvailable;
         const shouldShow = shouldShowUpdate || unreadBanners > 0;
 
         if (updateBadge) {
@@ -482,8 +678,31 @@ export class UpdateService {
         
         if (currentVersionEl) currentVersionEl.textContent = this.currentVersion;
         
+        const newVersionLabel = modal.querySelector('.new-version .label');
+        if (newVersionLabel) {
+            newVersionLabel.textContent = (this.updateInfo?.nightly)
+                ? `${translate('update.latestMain')}:`
+                : `${translate('update.newVersion')}:`;
+        }
+
         if (newVersionEl) {
-            newVersionEl.textContent = this.latestVersion;
+            if (this.updateInfo?.nightly) {
+                const behind = this.updateInfo.behind_by || 0;
+                const remoteHash = this.latestVersion.replace('main-', '');
+                const localHash = this.gitInfo.short_hash || '';
+                const date = this.updateInfo.commit_date || '';
+                const datePart = date ? ` · ${date}` : '';
+
+                if (behind > 0) {
+                    newVersionEl.textContent = `${behind} commit${behind !== 1 ? 's' : ''} behind main (${remoteHash}${datePart})`;
+                } else if (localHash !== remoteHash) {
+                    newVersionEl.textContent = `Behind main (${remoteHash}${datePart})`;
+                } else {
+                    newVersionEl.textContent = `Up to date (${remoteHash}${datePart})`;
+                }
+            } else {
+                newVersionEl.textContent = this.latestVersion;
+            }
         }
         
         // Update update button state
@@ -599,8 +818,12 @@ export class UpdateService {
         // Update GitHub link to point to the specific release if available
         const githubLink = modal.querySelector('.update-link');
         if (githubLink && this.latestVersion) {
-            const versionTag = this.latestVersion.replace(/^v/, '');
+            if (this.updateInfo?.nightly) {
-            githubLink.href = `https://github.com/willmiao/ComfyUI-Lora-Manager/releases/tag/v${versionTag}`;
+                githubLink.href = 'https://github.com/willmiao/ComfyUI-Lora-Manager/commits/main';
+            } else {
+                const versionTag = this.latestVersion.replace(/^v/, '');
+                githubLink.href = `https://github.com/willmiao/ComfyUI-Lora-Manager/releases/tag/v${versionTag}`;
+            }
         }
     }
     
@@ -623,7 +846,7 @@ export class UpdateService {
                     'Content-Type': 'application/json'
                 },
                 body: JSON.stringify({
-                    nightly: this.nightlyMode
+                    nightly: this.channelMode === 'nightly'
                 })
             });
             
@@ -698,7 +921,26 @@ export class UpdateService {
             progressText.textContent = text;
         }
     }
-    
+
+    _showSwitchCompleteMessage(version) {
+        this.showUpdateProgress(true);
+        this.updateProgress(100, '');
+        const progressText = document.getElementById('updateProgressText');
+        if (progressText) {
+            progressText.innerHTML = `
+                <div style="text-align: center; color: var(--lora-success);">
+                    <i class="fas fa-check-circle" style="margin-right: 8px;"></i>
+                    ${translate('update.completion.successMessage', { version })}
+                    <br><br>
+                    <div style="opacity: 0.95; color: var(--lora-error); font-size: 1em;">
+                        ${translate('update.completion.restartMessage')}<br>
+                        ${translate('update.completion.reloadMessage')}
+                    </div>
+                </div>
+            `;
+        }
+    }
+
     showUpdateCompleteMessage(newVersion) {
         const modal = document.getElementById('updateModal');
         if (!modal) return;
@@ -771,6 +1013,7 @@ export class UpdateService {
 
         // Update the modal content immediately with current data
         this.updateModalContent();
+        this.updateChannelUI();
         this.renderRecentBanners();
 
         // Show the modal with current data
@@ -801,8 +1044,8 @@ export class UpdateService {
             
             if (data.success) {
                 this.currentVersionInfo = data.version;
-                
+                this.hasGit = data.has_git || false;
-                // Check if version matches stored version
+
                 this.versionMismatch = !isVersionMatch(this.currentVersionInfo);
                 
                 if (this.versionMismatch) {

static/js/managers/import/DownloadManager.js

@@ -3,6 +3,7 @@ import { translate } from '../../utils/i18nHelpers.js';
 import { getModelApiClient } from '../../api/modelApiFactory.js';
 import { MODEL_TYPES } from '../../api/apiConfig.js';
 import { getStorageItem } from '../../utils/storageHelpers.js';
+import { state } from '../../state/index.js';
 
 export class DownloadManager {
     constructor(importManager) {
@@ -125,11 +126,25 @@ export class DownloadManager {
                 showToast('toast.recipes.nameSaved', { name: this.importManager.recipeName }, 'success');
             }
 
-            // Close modal
             modalManager.closeModal('importModal');
 
-            // Refresh the recipe
+            if (isDownloadOnly && state.virtualScroller) {
-            window.recipeManager.loadRecipes(true);
+                const recipeId = this.importManager.recipeId;
+                try {
+                    const detailRes = await fetch(`/api/lm/recipe/${encodeURIComponent(recipeId)}`);
+                    if (detailRes.ok) {
+                        const updated = await detailRes.json();
+                        state.virtualScroller.updateSingleItem(updated.file_path, updated);
+                    } else {
+                        throw new Error(`API returned ${detailRes.status}`);
+                    }
+                } catch (e) {
+                    console.warn('Failed to update recipe card in-place, falling back to reload:', e);
+                    await window.recipeManager.loadRecipes({ resetPage: true, preserveScroll: true });
+                }
+            } else {
+                window.recipeManager.loadRecipes({ resetPage: true, preserveScroll: true });
+            }
 
         } catch (error) {
             console.error('Error:', error);

static/js/utils/constants.js

@@ -333,6 +333,7 @@ export const PATH_TEMPLATE_PLACEHOLDERS = [
 export const DEFAULT_PATH_TEMPLATES = {
     lora: '{base_model}/{first_tag}',
     checkpoint: '{base_model}',
+    unet: '{base_model}',
     embedding: '{first_tag}'
 };
 
@@ -369,21 +370,24 @@ export function getMatureBlurThreshold(settings = {}) {
 export const NODE_TYPES = {
     LORA_LOADER: 1,
     LORA_STACKER: 2,
-    WAN_VIDEO_LORA_SELECT: 3
+    WAN_VIDEO_LORA_SELECT: 3,
+    HOOK_LORA: 4
 };
 
 // Node type names to IDs mapping
 export const NODE_TYPE_NAMES = {
     "Lora Loader (LoraManager)": NODE_TYPES.LORA_LOADER,
     "Lora Stacker (LoraManager)": NODE_TYPES.LORA_STACKER,
-    "WanVideo Lora Select (LoraManager)": NODE_TYPES.WAN_VIDEO_LORA_SELECT
+    "WanVideo Lora Select (LoraManager)": NODE_TYPES.WAN_VIDEO_LORA_SELECT,
+    "Create Hook LoRA (LoraManager)": NODE_TYPES.HOOK_LORA
 };
 
 // Node type icons
 export const NODE_TYPE_ICONS = {
     [NODE_TYPES.LORA_LOADER]: "fas fa-l",
     [NODE_TYPES.LORA_STACKER]: "fas fa-s",
-    [NODE_TYPES.WAN_VIDEO_LORA_SELECT]: "fas fa-w"
+    [NODE_TYPES.WAN_VIDEO_LORA_SELECT]: "fas fa-w",
+    [NODE_TYPES.HOOK_LORA]: "fas fa-h"
 };
 
 // Default ComfyUI node color when bgcolor is null

static/js/utils/uiHelpers.js

@@ -134,7 +134,10 @@ export async function copyToClipboard(text, successMessage = null) {
 }
 
 export function showToast(key, params = {}, type = 'info', fallback = null) {
-  const message = translate(key, params, fallback);
+  // Plain messages (contain spaces) are not i18n dot-notation keys — use verbatim
+  // to avoid spurious "Translation key not found" warnings from i18next
+  const isPlainMessage = typeof key === 'string' && /\s/.test(key);
+  const message = isPlainMessage ? key : translate(key, params, fallback);
   const toast = document.createElement('div');
   toast.className = `toast toast-${type}`;
   toast.textContent = message;

templates/components/header.html

@@ -251,10 +251,15 @@
         <button class="tag-logic-option" data-value="all" title="{{ t('header.filter.tagLogicAll') }}">{{ t('header.filter.all') }}</button>
       </div>
     </div>
+    <input type="text" id="modelTagsSearchInput" class="filter-search-input"
+      placeholder="{{ t('header.filter.tagSearchPlaceholder') }}" autocomplete="off">
     <div class="filter-tags" id="modelTagsFilter">
       <!-- Top tags will be dynamically inserted here -->
       <div class="tags-loading">{{ t('common.status.loading') }}</div>
     </div>
+    <div id="modelTagsEmptyState" class="filter-empty-state" hidden>
+      {{ t('header.filter.noTagMatches') }}
+    </div>
   </div>
   {% if current_page == 'loras' or current_page == 'checkpoints' %}
   <div class="filter-section">

templates/components/modals/update_modal.html

@@ -19,6 +19,20 @@
         <div class="notification-panels">
             <div class="notification-panel active" id="updatesPanel" role="tabpanel" aria-labelledby="updatesTab" aria-hidden="false" tabindex="0" data-notification-panel="updates">
                 <div class="update-content">
+
+                    <!-- Channel Selector -->
+                    <div class="update-channels" id="updateChannels">
+                        <div class="channels-label">{{ t('update.channel') }}</div>
+                        <div class="channel-toggle">
+                            <button type="button" class="channel-btn" data-channel="release" id="channelRelease">
+                                <i class="fas fa-tag"></i> {{ t('update.channels.release') }}
+                            </button>
+                            <button type="button" class="channel-btn" data-channel="nightly" id="channelNightly">
+                                <i class="fas fa-moon"></i> {{ t('update.channels.nightly') }}
+                            </button>
+                        </div>
+                    </div>
+
                     <div class="update-info">
                         <div class="version-info">
                             <div class="current-version">

tests/conftest.py

@@ -85,6 +85,7 @@ sys.modules['comfy.utils'] = comfy_mock.utils
 sys.modules['comfy.sd'] = comfy_mock.sd
 sys.modules['comfy.model_management'] = comfy_mock.model_management
 sys.modules['comfy.comfy_types'] = comfy_mock.comfy_types
+sys.modules['comfy.hooks'] = MockModule("comfy.hooks")
 
 execution_mock = MockModule("execution")
 execution_mock.PromptExecutor = mock.MagicMock()

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

@@ -113,6 +113,8 @@ function renderControlsDom(pageKey) {
       <div id="baseModelEmptyState" hidden></div>
       <div id="filterPresets" class="filter-presets"></div>
       <div id="modelTagsFilter" class="filter-tags"></div>
+      <input id="modelTagsSearchInput" />
+      <div id="modelTagsEmptyState" hidden></div>
       <button class="clear-filter"></button>
     </div>
     <div class="controls">
@@ -961,4 +963,198 @@ describe('PageControls favorites, sorting, and duplicates scenarios', () => {
     expect(stateModule.state.bulkMode).toBe(true);
     expect(pageState.duplicatesMode).toBe(true);
   });
+
+  describe('tag search', () => {
+    it('fetches /search-tags when typing in the tag search input (debounced)', async () => {
+      vi.useFakeTimers();
+      const searchTagsUrls = [];
+      global.fetch = vi.fn((url) => {
+        if (url.includes('/search-tags')) {
+          searchTagsUrls.push(url);
+          return Promise.resolve({
+            ok: true,
+            json: async () => ({ success: true, tags: [{ tag: 'anime', count: 3 }] }),
+          });
+        }
+        if (url.includes('/top-tags')) {
+          return Promise.resolve({ ok: true, json: async () => ({ success: true, tags: [] }) });
+        }
+        if (url.includes('/base-models')) {
+          return Promise.resolve({ ok: true, json: async () => ({ success: true, base_models: [] }) });
+        }
+        if (url.includes('/model-types')) {
+          return Promise.resolve({ ok: true, json: async () => ({ success: true, model_types: [] }) });
+        }
+        return Promise.resolve({ ok: true, json: async () => ({ success: true }) });
+      });
+
+      renderControlsDom('loras');
+      const stateModule = await import('../../../static/js/state/index.js');
+      stateModule.initPageState('loras');
+      const { FilterManager } = await import('../../../static/js/managers/FilterManager.js');
+      const manager = new FilterManager({ page: 'loras' });
+
+      // Open the panel so tags load
+      manager.toggleFilterPanel();
+      await vi.runAllTimersAsync();
+
+      const input = document.getElementById('modelTagsSearchInput');
+      input.value = 'ani';
+      input.dispatchEvent(new Event('input', { bubbles: true }));
+
+      // Before debounce fires, no search-tags call yet
+      expect(searchTagsUrls.length).toBe(0);
+
+      // Advance past the 150ms debounce
+      vi.advanceTimersByTime(160);
+      await vi.runAllTimersAsync();
+
+      expect(searchTagsUrls.length).toBe(1);
+      expect(searchTagsUrls[0]).toContain('/search-tags');
+      expect(searchTagsUrls[0]).toContain('q=ani');
+
+      vi.useRealTimers();
+    });
+
+    it('renders selected-but-missing tags in a dedicated group at the top', async () => {
+      vi.useFakeTimers();
+      global.fetch = vi.fn((url) => {
+        if (url.includes('/search-tags')) {
+          return Promise.resolve({
+            ok: true,
+            json: async () => ({ success: true, tags: [{ tag: 'anime', count: 3 }] }),
+          });
+        }
+        if (url.includes('/top-tags')) {
+          return Promise.resolve({ ok: true, json: async () => ({ success: true, tags: [] }) });
+        }
+        if (url.includes('/base-models')) {
+          return Promise.resolve({ ok: true, json: async () => ({ success: true, base_models: [] }) });
+        }
+        if (url.includes('/model-types')) {
+          return Promise.resolve({ ok: true, json: async () => ({ success: true, model_types: [] }) });
+        }
+        return Promise.resolve({ ok: true, json: async () => ({ success: true }) });
+      });
+
+      renderControlsDom('loras');
+      const stateModule = await import('../../../static/js/state/index.js');
+      stateModule.initPageState('loras');
+      const { FilterManager } = await import('../../../static/js/managers/FilterManager.js');
+      const manager = new FilterManager({ page: 'loras' });
+
+      // Pre-seed an active tag filter that won't appear in search results
+      manager.filters.tags = { 'my-custom-tag': 'include' };
+
+      // Open panel and let top-tags load (empty)
+      manager.toggleFilterPanel();
+      await vi.runAllTimersAsync();
+
+      // Type a search query
+      const input = document.getElementById('modelTagsSearchInput');
+      input.value = 'ani';
+      input.dispatchEvent(new Event('input', { bubbles: true }));
+      vi.advanceTimersByTime(160);
+      await vi.runAllTimersAsync();
+
+      const container = document.getElementById('modelTagsFilter');
+      const extraTag = container.querySelector('.filter-tag.extra-tag');
+      expect(extraTag).not.toBeNull();
+      expect(extraTag.dataset.tag).toBe('my-custom-tag');
+
+      // The search result tag should also be present
+      const resultTag = container.querySelector('.filter-tag.tag-filter[data-tag="anime"]');
+      expect(resultTag).not.toBeNull();
+
+      vi.useRealTimers();
+    });
+
+    it('shows empty state when search returns no matches and no selected tags', async () => {
+      vi.useFakeTimers();
+      global.fetch = vi.fn((url) => {
+        if (url.includes('/search-tags')) {
+          return Promise.resolve({ ok: true, json: async () => ({ success: true, tags: [] }) });
+        }
+        if (url.includes('/top-tags')) {
+          return Promise.resolve({ ok: true, json: async () => ({ success: true, tags: [] }) });
+        }
+        if (url.includes('/base-models')) {
+          return Promise.resolve({ ok: true, json: async () => ({ success: true, base_models: [] }) });
+        }
+        if (url.includes('/model-types')) {
+          return Promise.resolve({ ok: true, json: async () => ({ success: true, model_types: [] }) });
+        }
+        return Promise.resolve({ ok: true, json: async () => ({ success: true }) });
+      });
+
+      renderControlsDom('loras');
+      const stateModule = await import('../../../static/js/state/index.js');
+      stateModule.initPageState('loras');
+      const { FilterManager } = await import('../../../static/js/managers/FilterManager.js');
+      const manager = new FilterManager({ page: 'loras' });
+
+      manager.toggleFilterPanel();
+      await vi.runAllTimersAsync();
+
+      const input = document.getElementById('modelTagsSearchInput');
+      input.value = 'zzz';
+      input.dispatchEvent(new Event('input', { bubbles: true }));
+      vi.advanceTimersByTime(160);
+      await vi.runAllTimersAsync();
+
+      const emptyState = document.getElementById('modelTagsEmptyState');
+      expect(emptyState.hidden).toBe(false);
+
+      vi.useRealTimers();
+    });
+
+    it('reloads top tags when search input is cleared', async () => {
+      vi.useFakeTimers();
+      let topTagsCallCount = 0;
+      global.fetch = vi.fn((url) => {
+        if (url.includes('/search-tags')) {
+          return Promise.resolve({ ok: true, json: async () => ({ success: true, tags: [{ tag: 'anime', count: 3 }] }) });
+        }
+        if (url.includes('/top-tags')) {
+          topTagsCallCount++;
+          return Promise.resolve({ ok: true, json: async () => ({ success: true, tags: [] }) });
+        }
+        if (url.includes('/base-models')) {
+          return Promise.resolve({ ok: true, json: async () => ({ success: true, base_models: [] }) });
+        }
+        if (url.includes('/model-types')) {
+          return Promise.resolve({ ok: true, json: async () => ({ success: true, model_types: [] }) });
+        }
+        return Promise.resolve({ ok: true, json: async () => ({ success: true }) });
+      });
+
+      renderControlsDom('loras');
+      const stateModule = await import('../../../static/js/state/index.js');
+      stateModule.initPageState('loras');
+      const { FilterManager } = await import('../../../static/js/managers/FilterManager.js');
+      const manager = new FilterManager({ page: 'loras' });
+
+      manager.toggleFilterPanel();
+      await vi.runAllTimersAsync();
+      const callsAfterOpen = topTagsCallCount;
+      expect(callsAfterOpen).toBeGreaterThanOrEqual(1);
+
+      // Type, then clear
+      const input = document.getElementById('modelTagsSearchInput');
+      input.value = 'ani';
+      input.dispatchEvent(new Event('input', { bubbles: true }));
+      vi.advanceTimersByTime(160);
+      await vi.runAllTimersAsync();
+
+      input.value = '';
+      input.dispatchEvent(new Event('input', { bubbles: true }));
+      vi.advanceTimersByTime(160);
+      await vi.runAllTimersAsync();
+
+      // An additional top-tags call should have happened after clearing
+      expect(topTagsCallCount).toBeGreaterThan(callsAfterOpen);
+
+      vi.useRealTimers();
+    });
+  });
 });

tests/frontend/managers/BulkManager.marquee.test.js

@@ -0,0 +1,186 @@
+import { describe, it, beforeEach, afterEach, expect, vi } from 'vitest';
+import { state } from '../../../static/js/state/index.js';
+import { MODEL_TYPES } from '../../../static/js/api/apiConfig.js';
+import { eventManager } from '../../../static/js/utils/EventManager.js';
+import { BulkManager } from '../../../static/js/managers/BulkManager.js';
+
+function fire(type, init = {}) {
+  return new MouseEvent(type, { bubbles: true, cancelable: true, ...init });
+}
+
+describe('BulkManager marquee guards', () => {
+  beforeEach(() => {
+    vi.useFakeTimers();
+    // jsdom may not provide requestAnimationFrame; stub it so the auto-scroll loop is a no-op.
+    window.requestAnimationFrame = vi.fn();
+    window.cancelAnimationFrame = vi.fn();
+
+    eventManager.cleanup();
+    state.currentPageType = MODEL_TYPES.LORA;
+    state.bulkMode = false;
+    state.selectedModels.clear();
+
+    document.body.innerHTML = '<div class="page-content"></div>';
+    const pageContent = document.querySelector('.page-content');
+    pageContent.getBoundingClientRect = () => ({
+      top: 0,
+      left: 0,
+      right: 1000,
+      bottom: 1000,
+      width: 1000,
+      height: 1000,
+      x: 0,
+      y: 0,
+      toJSON: () => ({}),
+    });
+    pageContent.scrollBy = vi.fn();
+  });
+
+  afterEach(() => {
+    eventManager.cleanup();
+    vi.useRealTimers();
+    document.body.innerHTML = '';
+  });
+
+  function createBulkManager() {
+    const bulk = new BulkManager();
+    bulk.initialize();
+    return bulk;
+  }
+
+  it('never starts a marquee when the left button is not held', () => {
+    const bulk = createBulkManager();
+    const pageContent = document.querySelector('.page-content');
+
+    pageContent.dispatchEvent(fire('mousedown', { button: 0, clientX: 10, clientY: 10 }));
+    document.dispatchEvent(fire('mousemove', { buttons: 0, clientX: 50, clientY: 50 }));
+
+    expect(bulk.mouseDownTime).toBe(0);
+    expect(bulk.isMarqueeActive).toBe(false);
+    expect(state.bulkMode).toBe(false);
+    expect(document.querySelector('.marquee-selection')).toBeNull();
+  });
+
+  it('requires holding the left button for the drag delay before starting a marquee', () => {
+    const bulk = createBulkManager();
+    const pageContent = document.querySelector('.page-content');
+
+    pageContent.dispatchEvent(fire('mousedown', { button: 0, clientX: 10, clientY: 10 }));
+
+    // Fast movement: far enough, but too soon after mousedown.
+    document.dispatchEvent(fire('mousemove', { buttons: 1, clientX: 30, clientY: 10 }));
+    expect(state.bulkMode).toBe(false);
+    expect(bulk.isMarqueeActive).toBe(false);
+
+    // Once the hold time has elapsed, the same drag qualifies.
+    vi.advanceTimersByTime(100);
+    document.dispatchEvent(fire('mousemove', { buttons: 1, clientX: 35, clientY: 12 }));
+    expect(state.bulkMode).toBe(true);
+    expect(bulk.isMarqueeActive).toBe(true);
+    expect(document.querySelector('.marquee-selection')).not.toBeNull();
+  });
+
+  it('ends an active marquee if the left button is released without a mouseup event', () => {
+    const bulk = createBulkManager();
+    bulk.mouseDownPosition = { x: 10, y: 10 };
+    bulk.startMarqueeSelection({}, true);
+    expect(state.bulkMode).toBe(true);
+    expect(document.querySelector('.marquee-selection')).not.toBeNull();
+
+    // No mouseup was dispatched; a plain move with the button released finalizes it.
+    document.dispatchEvent(fire('mousemove', { buttons: 0, clientX: 50, clientY: 50 }));
+
+    expect(bulk.isMarqueeActive).toBe(false);
+    expect(document.querySelector('.marquee-selection')).toBeNull();
+    expect(state.bulkMode).toBe(false); // zero selected -> auto-exit
+  });
+
+  it('treats a tiny marquee as an accidental click: clears selection and exits bulk mode', () => {
+    const bulk = createBulkManager();
+    const card = document.createElement('div');
+    card.className = 'model-card selected';
+    card.dataset.filepath = '/models/test.safetensors';
+    document.body.appendChild(card);
+    state.selectedModels.add('/models/test.safetensors');
+
+    bulk.mouseDownPosition = { x: 100, y: 100 };
+    bulk.startMarqueeSelection({}, true);
+    expect(state.bulkMode).toBe(true);
+
+    bulk.endMarqueeSelection({ clientX: 103, clientY: 104 });
+
+    expect(state.bulkMode).toBe(false);
+    expect(state.selectedModels.size).toBe(0);
+    expect(card.classList.contains('selected')).toBe(false);
+  });
+
+  it('keeps selection and bulk mode when the marquee is large enough', () => {
+    const bulk = createBulkManager();
+    const card = document.createElement('div');
+    card.className = 'model-card selected';
+    card.dataset.filepath = '/models/test.safetensors';
+    document.body.appendChild(card);
+    state.selectedModels.add('/models/test.safetensors');
+
+    bulk.mouseDownPosition = { x: 100, y: 100 };
+    bulk.startMarqueeSelection({}, true);
+
+    bulk.endMarqueeSelection({ clientX: 130, clientY: 140 });
+
+    expect(state.bulkMode).toBe(true);
+    expect(state.selectedModels.has('/models/test.safetensors')).toBe(true);
+    expect(card.classList.contains('selected')).toBe(true);
+  });
+
+  it('keeps auto-scroll marquee selections when the pointer only moved a few pixels', () => {
+    const bulk = createBulkManager();
+    const pageContent = document.querySelector('.page-content');
+
+    // Card just below the press point in document coordinates.
+    const card = document.createElement('div');
+    card.className = 'model-card';
+    card.dataset.filepath = '/models/off-screen.safetensors';
+    card.getBoundingClientRect = () => ({
+      top: 950,
+      left: 400,
+      right: 600,
+      bottom: 1050,
+      width: 200,
+      height: 100,
+      x: 400,
+      y: 950,
+      toJSON: () => ({}),
+    });
+    document.body.appendChild(card);
+
+    pageContent.dispatchEvent(fire('mousedown', { button: 0, clientX: 500, clientY: 900 }));
+    vi.advanceTimersByTime(100);
+
+    // Small pointer move: enough to start the marquee, but under minMarqueeSize.
+    document.dispatchEvent(fire('mousemove', { buttons: 1, clientX: 506, clientY: 906 }));
+    expect(bulk.isMarqueeActive).toBe(true);
+
+    // Auto-scroll grows the document-space box while the pointer stays nearly still.
+    pageContent.scrollTop = 200;
+    card.getBoundingClientRect = () => ({
+      top: 750,
+      left: 400,
+      right: 600,
+      bottom: 850,
+      width: 200,
+      height: 100,
+      x: 400,
+      y: 750,
+      toJSON: () => ({}),
+    });
+    document.dispatchEvent(fire('mousemove', { buttons: 1, clientX: 506, clientY: 906 }));
+
+    expect(state.selectedModels.has('/models/off-screen.safetensors')).toBe(true);
+
+    // Release: the client-space box is tiny, but the document-space box is not.
+    document.dispatchEvent(fire('mouseup', { button: 0, clientX: 506, clientY: 906 }));
+
+    expect(state.selectedModels.has('/models/off-screen.safetensors')).toBe(true);
+    expect(state.bulkMode).toBe(true);
+  });
+});

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

@@ -106,6 +106,118 @@ afterEach(() => {
     });
 });
 
+describe('SettingsManager root selects', () => {
+    const rootCases = [
+        {
+            method: 'loadLoraRoots',
+            selectId: 'defaultLoraRoot',
+            endpoint: '/api/lm/loras/roots',
+            errorKey: 'toast.settings.loraRootsFailed',
+        },
+        {
+            method: 'loadCheckpointRoots',
+            selectId: 'defaultCheckpointRoot',
+            endpoint: '/api/lm/checkpoints/checkpoints_roots',
+            errorKey: 'toast.settings.checkpointRootsFailed',
+        },
+        {
+            method: 'loadUnetRoots',
+            selectId: 'defaultUnetRoot',
+            endpoint: '/api/lm/checkpoints/unet_roots',
+            errorKey: 'toast.settings.unetRootsFailed',
+        },
+        {
+            method: 'loadEmbeddingRoots',
+            selectId: 'defaultEmbeddingRoot',
+            endpoint: '/api/lm/embeddings/roots',
+            errorKey: 'toast.settings.embeddingRootsFailed',
+        },
+    ];
+
+    const appendRootSelect = (id) => {
+        const select = document.createElement('select');
+        select.id = id;
+        document.body.appendChild(select);
+        return select;
+    };
+
+    it.each(rootCases)(
+        'populates the $method select with roots and keeps it enabled',
+        async ({ method, selectId, endpoint }) => {
+            const manager = createManager();
+            const select = appendRootSelect(selectId);
+            select.disabled = true;
+
+            global.fetch = vi.fn().mockResolvedValue({
+                ok: true,
+                json: async () => ({
+                    success: true,
+                    roots: ['/models/root-a', '/models/root-b'],
+                }),
+            });
+
+            await manager[method]();
+
+            expect(global.fetch).toHaveBeenCalledWith(endpoint);
+            expect(Array.from(select.options).map(option => option.value)).toEqual([
+                '/models/root-a',
+                '/models/root-b',
+            ]);
+            expect(select.disabled).toBe(false);
+            expect(showToast).not.toHaveBeenCalled();
+        }
+    );
+
+    it.each(rootCases)(
+        'shows a placeholder and no error toast when $method has empty roots',
+        async ({ method, selectId, endpoint }) => {
+            const manager = createManager();
+            const select = appendRootSelect(selectId);
+
+            global.fetch = vi.fn().mockResolvedValue({
+                ok: true,
+                json: async () => ({
+                    success: true,
+                    roots: [],
+                }),
+            });
+
+            await manager[method]();
+
+            expect(global.fetch).toHaveBeenCalledWith(endpoint);
+            expect(select.options).toHaveLength(1);
+            expect(select.options[0].value).toBe('');
+            expect(select.options[0].textContent).toBe('No Default');
+            expect(select.disabled).toBe(true);
+            expect(showToast).not.toHaveBeenCalled();
+        }
+    );
+
+    it.each(rootCases)(
+        'shows an error toast when the $method roots request fails',
+        async ({ method, selectId, errorKey }) => {
+            const manager = createManager();
+            const select = appendRootSelect(selectId);
+
+            global.fetch = vi.fn().mockResolvedValue({
+                ok: false,
+                status: 500,
+            });
+
+            await manager[method]();
+
+            expect(select.options).toHaveLength(1);
+            expect(select.options[0].value).toBe('');
+            expect(select.disabled).toBe(true);
+            expect(showToast).toHaveBeenCalledWith(
+                errorKey,
+                expect.objectContaining({ message: expect.any(String) }),
+                'error',
+            );
+        }
+    );
+});
+
 describe('SettingsManager library controls', () => {
     it('loads libraries and populates the select', async () => {
         const manager = createManager();

tests/frontend/managers/updateService.test.js

@@ -1,12 +1,26 @@
 import { describe, beforeEach, afterEach, expect, it, vi } from 'vitest';
 import { UpdateService } from '../../../static/js/managers/UpdateService.js';
+import { state } from '../../../static/js/state/index.js';
 
 function createFetchResponse(payload) {
     return {
-        json: vi.fn().mockResolvedValue(payload)
+        json: vi.fn().mockResolvedValue(payload),
+        ok: true,
     };
 }
 
+function stubSettingsUpdateChannel(channel) {
+    state.global = state.global || {};
+    state.global.settings = state.global.settings || {};
+    state.global.settings.update_channel = channel;
+}
+
+function clearSettingsUpdateChannel() {
+    if (state.global?.settings) {
+        delete state.global.settings.update_channel;
+    }
+}
+
 describe('UpdateService passive checks', () => {
     let service;
     let fetchMock;
@@ -16,10 +30,13 @@ describe('UpdateService passive checks', () => {
             success: true,
             current_version: 'v1.0.0',
             latest_version: 'v1.0.0',
-            git_info: { short_hash: 'abc123' }
+            git_info: { short_hash: 'abc123' },
+            has_git: true,
         }));
         global.fetch = fetchMock;
 
+        stubSettingsUpdateChannel('release');
+
         service = new UpdateService();
         service.updateNotificationsEnabled = false;
         service.lastCheckTime = 0;
@@ -28,6 +45,7 @@ describe('UpdateService passive checks', () => {
 
     afterEach(() => {
         delete global.fetch;
+        clearSettingsUpdateChannel();
     });
 
     it('skips passive update checks when notifications are disabled', async () => {
@@ -43,3 +61,106 @@ describe('UpdateService passive checks', () => {
         expect(fetchMock).toHaveBeenCalledWith('/api/lm/check-updates?nightly=false');
     });
 });
+
+describe('UpdateService nightly notification throttling', () => {
+    let fetchMock;
+    let updateToggle;
+    let updateBadge;
+
+    function stubUpdateBadgeDom() {
+        updateToggle = document.createElement('div');
+        updateToggle.className = 'update-toggle';
+        updateBadge = document.createElement('span');
+        updateBadge.className = 'update-badge';
+        updateToggle.appendChild(updateBadge);
+        document.body.appendChild(updateToggle);
+
+        vi.spyOn(document, 'querySelector').mockImplementation((selector) => {
+            if (selector === '.update-toggle') return updateToggle;
+            if (selector === '.update-toggle .update-badge') return updateBadge;
+            return null;
+        });
+    }
+
+    function makeUpdateResponse(channel) {
+        return {
+            success: true,
+            current_version: 'v1.0.0',
+            latest_version: channel === 'nightly' ? 'main-abc1234' : 'v1.1.0',
+            update_available: true,
+            git_info: { short_hash: 'abc123' },
+            has_git: true,
+            nightly: channel === 'nightly',
+            changelog: ['test: change'],
+            releases: [],
+            behind_by: 3,
+            commit_date: '2026-07-31',
+        };
+    }
+
+    beforeEach(() => {
+        fetchMock = vi.fn().mockResolvedValue(createFetchResponse(makeUpdateResponse('release')));
+        global.fetch = fetchMock;
+        stubUpdateBadgeDom();
+    });
+
+    afterEach(() => {
+        vi.restoreAllMocks();
+        delete global.fetch;
+    });
+
+    it('shows the nightly badge once and keeps it visible for the session', async () => {
+        stubSettingsUpdateChannel('nightly');
+        fetchMock.mockResolvedValue(createFetchResponse(makeUpdateResponse('nightly')));
+
+        const service = new UpdateService();
+        service.updateNotificationsEnabled = true;
+
+        await service.checkForUpdates({ force: true });
+
+        expect(service.updateAvailable).toBe(true);
+        expect(service.nightlyBadgeShown).toBe(true);
+        expect(service.nightlyNotifyDate).toBe(service._getTodayKey());
+        expect(updateBadge.classList.contains('visible')).toBe(true);
+
+        // A repeated check within the same session keeps the badge visible.
+        await service.checkForUpdates({ force: true });
+        expect(updateBadge.classList.contains('visible')).toBe(true);
+    });
+
+    it('suppresses the nightly badge on a later session in the same day', async () => {
+        stubSettingsUpdateChannel('nightly');
+        fetchMock.mockResolvedValue(createFetchResponse(makeUpdateResponse('nightly')));
+
+        const firstService = new UpdateService();
+        firstService.updateNotificationsEnabled = true;
+        await firstService.checkForUpdates({ force: true });
+        expect(updateBadge.classList.contains('visible')).toBe(true);
+
+        // Simulate a fresh page session on the same calendar day.
+        const secondService = new UpdateService();
+        secondService.updateNotificationsEnabled = true;
+        await secondService.checkForUpdates({ force: true });
+
+        expect(secondService.updateAvailable).toBe(true);
+        expect(secondService.nightlyBadgeShown).toBe(false);
+        expect(updateBadge.classList.contains('visible')).toBe(false);
+    });
+
+    it('is not affected by the daily limit on the release channel', async () => {
+        stubSettingsUpdateChannel('release');
+        fetchMock.mockResolvedValue(createFetchResponse(makeUpdateResponse('release')));
+
+        const firstService = new UpdateService();
+        firstService.updateNotificationsEnabled = true;
+        await firstService.checkForUpdates({ force: true });
+        expect(updateBadge.classList.contains('visible')).toBe(true);
+
+        const secondService = new UpdateService();
+        secondService.updateNotificationsEnabled = true;
+        await secondService.checkForUpdates({ force: true });
+
+        expect(secondService.updateAvailable).toBe(true);
+        expect(updateBadge.classList.contains('visible')).toBe(true);
+    });
+});

tests/metadata_collector/test_metadata_collector.py

@@ -30,10 +30,10 @@ def test_metadata_hook_installs_and_traces_execution(monkeypatch, metadata_regis
 
     calls = []
 
-    def record_stub(self, node_id, class_type, inputs, outputs):
+    def record_stub(self, node_id, class_type, inputs, outputs, return_types=None):
         calls.append(("record", node_id, class_type, inputs))
 
-    def update_stub(self, node_id, class_type, outputs):
+    def update_stub(self, node_id, class_type, outputs, return_types=None):
         calls.append(("update", node_id, class_type, outputs))
 
     monkeypatch.setattr(MetadataRegistry, "record_node_execution", record_stub)
@@ -820,3 +820,227 @@ def test_lora_manager_checkpoint_and_unet_loaders_extract_models(metadata_regist
         "type": "checkpoint",
         "node_id": "unet_node",
     }
+
+
+# ---------------------------------------------------------------------------
+# MetadataOverwriteExtractor & overwrite merge tests
+# ---------------------------------------------------------------------------
+
+from py.metadata_collector.constants import OVERWRITE, METADATA_OVERWRITE_FIELDS
+from py.metadata_collector.node_extractors import MetadataOverwriteExtractor
+
+
+def test_metadata_overwrite_extractor_stores_truthy_values(metadata_registry):
+    """Extractor should store truthy inputs under the OVERWRITE category."""
+    metadata_registry.start_collection("prompt-ow")
+    metadata = metadata_registry.prompt_metadata["prompt-ow"]
+
+    inputs = {
+        "prompt": "a beautiful landscape",
+        "negative_prompt": "",
+        "seed": 42,
+        "steps": 0,
+        "cfg_scale": 7.5,
+        "sampler": "",
+        "scheduler": "",
+        "model": "myModel.safetensors",
+        "loras": "<lora:detail:0.8>",
+        "size": "1024x768",
+        "clip_skip": 0,
+        "additional_data": '{"Copyright": "CC0"}',
+    }
+
+    MetadataOverwriteExtractor.extract("ow-1", inputs, None, metadata)
+
+    assert OVERWRITE in metadata
+    assert "ow-1" in metadata[OVERWRITE]
+    params = metadata[OVERWRITE]["ow-1"]["parameters"]
+
+    # Truthy values stored
+    assert params["prompt"] == "a beautiful landscape"
+    assert params["seed"] == 42
+    assert params["cfg_scale"] == 7.5
+    assert params["model"] == "myModel.safetensors"
+    assert params["loras"] == "<lora:detail:0.8>"
+    assert params["size"] == "1024x768"
+    assert params["additional_data"] == '{"Copyright": "CC0"}'
+
+    # Falsy values NOT stored
+    assert "negative_prompt" not in params
+    assert "steps" not in params
+    assert "sampler" not in params
+    assert "scheduler" not in params
+    # clip_skip=0 is now stored (0 != sentinel -25) — wired 0 is valid
+    assert params["clip_skip"] == 0
+
+    metadata_registry.clear_metadata()
+
+
+def test_metadata_overwrite_extractor_empty_inputs(metadata_registry):
+    """Extractor with all-falsy inputs should NOT create OVERWRITE category."""
+    metadata_registry.start_collection("prompt-ow2")
+    metadata = metadata_registry.prompt_metadata["prompt-ow2"]
+
+    from py.metadata_collector.constants import CLIP_SKIP_SENTINEL
+
+    inputs = {key: "" for key in METADATA_OVERWRITE_FIELDS}
+    inputs.update({"seed": 0, "steps": 0, "cfg_scale": 0.0, "clip_skip": CLIP_SKIP_SENTINEL})
+
+    MetadataOverwriteExtractor.extract("ow-2", inputs, None, metadata)
+
+    # start_collection pre-creates empty dicts for all categories,
+    # but no node should have populated OVERWRITE with any data
+    assert not metadata[OVERWRITE]
+
+    metadata_registry.clear_metadata()
+
+
+def test_extract_generation_params_applies_overwrite(metadata_registry, populated_registry, monkeypatch):
+    """overwrite values should replace inferred params in extract_generation_params."""
+    import py.metadata_collector.metadata_processor as mp
+
+    monkeypatch.setattr(mp, "standalone_mode", False)
+
+    metadata = populated_registry["metadata"]
+    registry_obj = populated_registry["registry"]
+
+    # Simulate the MetadataOverwriteLM node having been executed with overwrite values
+    registry_obj.start_collection("promptA")
+    # Re-populate with the same data (start_collection resets)
+    registry_obj.set_current_prompt(populated_registry["prompt"])
+    metadata2 = registry_obj.prompt_metadata["promptA"]
+
+    # Inject overwrite data into metadata
+    metadata2[OVERWRITE] = {
+        "ow-1": {
+            "parameters": {
+                "seed": 777,
+                "additional_data": '{"AuthorURL": "https://civitai.com/user/foo"}',
+            },
+            "node_id": "ow-1",
+        }
+    }
+    # Copy other categories from original populated metadata
+    for cat in ("models", "prompts", "sampling", "loras", "size", "images"):
+        if cat in metadata:
+            metadata2[cat] = metadata[cat]
+    metadata2["execution_order"] = metadata["execution_order"]
+
+    params = MetadataProcessor.extract_generation_params(metadata2, id="vae")
+
+    # Overwritten values
+    assert params["seed"] == 777
+    assert params["additional_data"] == '{"AuthorURL": "https://civitai.com/user/foo"}'
+
+    # Inferred values still present (not overwritten)
+    assert params["prompt"] == "A castle on a hill"
+    assert params["cfg_scale"] == 7.5
+    assert params["checkpoint"] == "model.safetensors"
+
+    registry_obj.clear_metadata()
+
+
+def test_extract_generation_params_overwrite_falsy_skipped(metadata_registry, populated_registry, monkeypatch):
+    """Overwrite entries with falsy values should NOT replace inferred params."""
+    import py.metadata_collector.metadata_processor as mp
+
+    monkeypatch.setattr(mp, "standalone_mode", False)
+
+    metadata = populated_registry["metadata"]
+    registry_obj = populated_registry["registry"]
+
+    registry_obj.start_collection("promptA")
+    registry_obj.set_current_prompt(populated_registry["prompt"])
+    metadata2 = registry_obj.prompt_metadata["promptA"]
+
+    # Inject overwrite with falsy values (except clip_skip=0 which is now
+    # treated as a valid wired input thanks to the -25 sentinel)
+    metadata2[OVERWRITE] = {
+        "ow-1": {
+            "parameters": {
+                "seed": 0,
+                "steps": 0,
+                "cfg_scale": 0.0,
+                "prompt": "",
+                "clip_skip": 0,
+            },
+            "node_id": "ow-1",
+        }
+    }
+    for cat in ("models", "prompts", "sampling", "loras", "size", "images"):
+        if cat in metadata:
+            metadata2[cat] = metadata[cat]
+    metadata2["execution_order"] = metadata["execution_order"]
+
+    params = MetadataProcessor.extract_generation_params(metadata2, id="vae")
+
+    # Falsy overwrites should NOT have replaced inferred values
+    assert params["prompt"] == "A castle on a hill"
+    assert params["cfg_scale"] == 7.5
+
+    # clip_skip=0 is a valid wired value (not the -25 sentinel) — should be applied
+    assert params["clip_skip"] == 0
+
+    registry_obj.clear_metadata()
+
+
+def test_fill_missing_metadata_skips_overwrite_for_bypassed_node(metadata_registry):
+    """Bypassed (mode=4) node should not have OVERWRITE filled from cache."""
+    metadata_registry.start_collection("prompt-bypass")
+
+    # Simulate a previous execution that cached overwrite data
+    metadata_registry.record_node_execution(
+        "ow-1",
+        "MetadataOverwriteLM",
+        {"seed": 99, "prompt": "test", "steps": 0, "cfg_scale": 0.0,
+         "negative_prompt": "", "sampler": "", "scheduler": "", "model": "",
+         "loras": "", "size": "", "clip_skip": 0, "additional_data": ""},
+        None,
+    )
+
+    # Now start a new prompt where the node is bypassed (mode=4)
+    metadata_registry.start_collection("prompt-bypass-2")
+    original_prompt = {
+        "ow-1": {"class_type": "MetadataOverwriteLM", "inputs": {}, "mode": 4},
+    }
+    metadata_registry.set_current_prompt(
+        SimpleNamespace(original_prompt=original_prompt)
+    )
+
+    metadata = metadata_registry.get_metadata("prompt-bypass-2")
+
+    # The overwrite data should NOT be present (node was bypassed, not
+    # a cache hit — it should not inherit previous execution's overwrite)
+    assert "ow-1" not in metadata.get(OVERWRITE, {})
+
+    metadata_registry.clear_metadata()
+
+
+def test_fill_missing_metadata_fills_overwrite_for_muted_node(metadata_registry):
+    """Muted (mode=2) node should also not have OVERWRITE filled from cache."""
+    metadata_registry.start_collection("prompt-mute")
+
+    # Simulate a previous execution that cached overwrite data
+    metadata_registry.record_node_execution(
+        "ow-1",
+        "MetadataOverwriteLM",
+        {"seed": 88, "prompt": "test2", "steps": 0, "cfg_scale": 0.0,
+         "negative_prompt": "", "sampler": "", "scheduler": "", "model": "",
+         "loras": "", "size": "", "clip_skip": 0, "additional_data": ""},
+        None,
+    )
+
+    # Start a new prompt where the node is muted (mode=2)
+    metadata_registry.start_collection("prompt-mute-2")
+    original_prompt = {
+        "ow-1": {"class_type": "MetadataOverwriteLM", "inputs": {}, "mode": 2},
+    }
+    metadata_registry.set_current_prompt(
+        SimpleNamespace(original_prompt=original_prompt)
+    )
+
+    metadata = metadata_registry.get_metadata("prompt-mute-2")
+
+    assert "ow-1" not in metadata.get(OVERWRITE, {})
+
+    metadata_registry.clear_metadata()

tests/nodes/test_save_image.py

@@ -59,7 +59,7 @@ def test_save_image_defaults_to_writing_png_metadata(monkeypatch, tmp_path):
 
     image_path = tmp_path / "sample_00001_.png"
     with Image.open(image_path) as img:
-        assert img.info["parameters"] == "prompt text\nSeed: 123"
+        assert img.info["parameters"] == "prompt text\nSeed: 123, Version: ComfyUI"
 
 
 def test_save_image_skips_png_parameters_when_metadata_disabled_and_keeps_workflow(
@@ -363,3 +363,102 @@ def test_save_image_as_recipe_writes_recipe_without_async_scanner_calls(
     assert recipe["gen_params"] == {"prompt": "prompt text", "seed": 123}
     assert scanner._json_path_map[recipe["id"]] == os.path.normpath(str(recipe_files[0]))
     assert scanner.fts_updates == [(recipe["id"], "add")]
+
+
+# ---------------------------------------------------------------------------
+# Tests for webp_method and jpeg_subsampling parameters
+# ---------------------------------------------------------------------------
+
+def _capture_save_kwargs(monkeypatch):
+    """Monkeypatch Image.Image.save to capture kwargs while still saving to disk."""
+    real_save = Image.Image.save
+    captured_kwargs = {}
+
+    def _fake_save(self, fp, *args, **kwargs):
+        captured_kwargs.update(kwargs)
+        return real_save(self, fp, *args, **kwargs)
+
+    monkeypatch.setattr(Image.Image, "save", _fake_save)
+    return captured_kwargs
+
+
+def test_webp_method_default_passed_to_pillow_save(monkeypatch, tmp_path):
+    _configure_save_paths(monkeypatch, tmp_path)
+    _configure_metadata(monkeypatch, {"prompt": "test", "seed": 1})
+    captured = _capture_save_kwargs(monkeypatch)
+
+    node = SaveImageLM()
+    node.save_images([_make_image()], "ComfyUI", "webp", id="node-1")
+
+    assert "method" in captured
+    assert captured["method"] == 6
+
+
+def test_webp_method_custom_value_passed_to_pillow_save(monkeypatch, tmp_path):
+    _configure_save_paths(monkeypatch, tmp_path)
+    _configure_metadata(monkeypatch, {"prompt": "test", "seed": 1})
+    captured = _capture_save_kwargs(monkeypatch)
+
+    node = SaveImageLM()
+    node.save_images(
+        [_make_image()], "ComfyUI", "webp", id="node-1", webp_method=3
+    )
+
+    assert captured["method"] == 3
+
+
+def test_jpeg_subsampling_default_passed_to_pillow_save(monkeypatch, tmp_path):
+    _configure_save_paths(monkeypatch, tmp_path)
+    _configure_metadata(monkeypatch, {"prompt": "test", "seed": 1})
+    captured = _capture_save_kwargs(monkeypatch)
+
+    node = SaveImageLM()
+    node.save_images([_make_image()], "ComfyUI", "jpeg", id="node-1")
+
+    assert "subsampling" in captured
+    assert captured["subsampling"] == 0
+
+
+def test_jpeg_subsampling_custom_value_passed_to_pillow_save(monkeypatch, tmp_path):
+    _configure_save_paths(monkeypatch, tmp_path)
+    _configure_metadata(monkeypatch, {"prompt": "test", "seed": 1})
+    captured = _capture_save_kwargs(monkeypatch)
+
+    node = SaveImageLM()
+    node.save_images(
+        [_make_image()], "ComfyUI", "jpeg", id="node-1", jpeg_subsampling=1
+    )
+
+    assert captured["subsampling"] == 1
+
+
+class TestParameterDefaultConsistency:
+    """Verify defaults match across INPUT_TYPES, save_images(), and process_image()."""
+
+    def test_webp_method_defaults_are_consistent(self):
+        input_types = SaveImageLM.INPUT_TYPES()
+        optional = input_types["optional"]
+
+        assert optional["webp_method"][1]["default"] == 6
+        assert SaveImageLM.save_images.__defaults__[4] == 6  # positional: webp_method=6 is at index 4
+        assert SaveImageLM.process_image.__defaults__[6] == 6
+
+    def test_jpeg_subsampling_defaults_are_consistent(self):
+        input_types = SaveImageLM.INPUT_TYPES()
+        optional = input_types["optional"]
+
+        assert optional["jpeg_subsampling"][1]["default"] == 0
+        assert SaveImageLM.save_images.__defaults__[5] == 0
+        assert SaveImageLM.process_image.__defaults__[7] == 0
+
+
+def test_png_does_not_pass_webp_method_or_jpeg_subsampling(monkeypatch, tmp_path):
+    _configure_save_paths(monkeypatch, tmp_path)
+    _configure_metadata(monkeypatch, {"prompt": "test", "seed": 1})
+    captured = _capture_save_kwargs(monkeypatch)
+
+    node = SaveImageLM()
+    node.save_images([_make_image()], "ComfyUI", "png", id="node-1")
+
+    assert "method" not in captured
+    assert "subsampling" not in captured

tests/routes/test_model_query_handler.py

@@ -36,3 +36,53 @@ async def test_model_query_handler_rejects_negative_limit_for_base_models():
     await handler.get_base_models(SimpleNamespace(query={"limit": "-1"}))
 
     assert service.received_limit == 20
+
+
+class DummySearchTagsService:
+    """Minimal service stub recording search_tags arguments."""
+
+    def __init__(self, result=None):
+        self.received_query = None
+        self.received_limit = None
+        self._result = result or []
+
+    async def search_tags(self, query, limit):
+        self.received_query = query
+        self.received_limit = limit
+        return self._result
+
+
+@pytest.mark.asyncio
+async def test_model_query_handler_search_tags_passes_query_and_limit():
+    service = DummySearchTagsService(result=[{"tag": "anime", "count": 3}])
+    handler = ModelQueryHandler(service=service, logger=logging.getLogger(__name__))
+
+    response = await handler.search_tags(
+        SimpleNamespace(query={"q": "ani", "limit": "50"})
+    )
+    payload = json.loads(response.text)
+
+    assert payload["success"] is True
+    assert payload["tags"] == [{"tag": "anime", "count": 3}]
+    assert service.received_query == "ani"
+    assert service.received_limit == 50
+
+
+@pytest.mark.asyncio
+async def test_model_query_handler_search_tags_defaults_limit_to_20():
+    service = DummySearchTagsService()
+    handler = ModelQueryHandler(service=service, logger=logging.getLogger(__name__))
+
+    await handler.search_tags(SimpleNamespace(query={}))
+
+    assert service.received_limit == 20
+
+
+@pytest.mark.asyncio
+async def test_model_query_handler_search_tags_clamps_negative_limit():
+    service = DummySearchTagsService()
+    handler = ModelQueryHandler(service=service, logger=logging.getLogger(__name__))
+
+    await handler.search_tags(SimpleNamespace(query={"limit": "-5"}))
+
+    assert service.received_limit == 20

tests/routes/test_update_routes.py

@@ -1,10 +1,33 @@
 import logging
+import os
+import shutil
 from aiohttp import ClientError
+from aiohttp import web
 import pytest
 
 from py.routes import update_routes
 
 
+def _fake_request(body=None, query_params=None):
+    from multidict import MultiDict
+
+    q = MultiDict(query_params or {})
+
+    req = type("Req", (), {
+        "has_body": body is not None,
+        "match_info": {},
+        "rel_url": type("U", (), {"query": q})(),
+        "query": q,
+        "app": {},
+    })()
+
+    async def _json():
+        return body or {}
+
+    req.json = _json
+    return req
+
+
 class OfflineDownloader:
     async def make_request(self, *_, **__):
         return False, "Cannot connect to host"
@@ -53,10 +76,12 @@ async def test_get_nightly_version_network_error_logs_warning(monkeypatch, caplo
     caplog.set_level(logging.WARNING)
     monkeypatch.setattr(update_routes, "get_downloader", lambda: _stub_downloader(RaisingDownloader()))
 
-    version, changelog = await update_routes.UpdateRoutes._get_nightly_version()
+    version, changelog, behind_by, commit_date = await update_routes.UpdateRoutes._get_nightly_version()
 
     assert version == "main"
     assert changelog == []
+    assert behind_by == 0
+    assert commit_date == ""
     assert "Unable to reach GitHub for nightly version" in caplog.text
     assert "Traceback" not in caplog.text
 
@@ -236,3 +261,305 @@ async def test_perform_git_update_stable_preserves_user_dirs(monkeypatch, tmp_pa
     clean_args = clean_calls[0][1]
     for name in update_routes._PRESERVE_DIRS:
         assert name in clean_args, f"{name} missing from git clean excludes (stable)"
+
+def test_init_git_repo_creates_valid_repo(tmp_path, monkeypatch):
+    if not shutil.which("git"):
+        pytest.skip("git executable not found")
+
+    plugin_root = tmp_path / "plugin"
+    plugin_root.mkdir()
+    (plugin_root / ".tracking").write_text("pyproject.toml")
+    (plugin_root / "settings.json").write_text('{"some": "value"}')
+
+    try:
+        success, version = update_routes.UpdateRoutes._init_git_repo(str(plugin_root))
+    except Exception as e:
+        pytest.skip(f"Network unavailable for git fetch: {e}")
+
+    assert success is True
+    assert version.startswith("main-")
+    assert len(version) > len("main-")
+    assert (plugin_root / ".git").is_dir()
+    assert not (plugin_root / ".tracking").exists()
+    assert (plugin_root / "settings.json").exists()
+    assert (plugin_root / "pyproject.toml").exists()
+
+
+@pytest.mark.asyncio
+async def test_switch_channel_invalid_channel_returns_error():
+    req = _fake_request({"channel": "bad_channel"})
+    resp = await update_routes.UpdateRoutes.switch_channel(req)
+
+    data = _raw_body(resp)
+    assert not data["success"]
+    assert "Invalid channel" in data["error"]
+
+
+@pytest.mark.asyncio
+async def test_switch_channel_to_nightly_without_git_inits_repo(monkeypatch, tmp_path):
+    routes_file = tmp_path / "py" / "routes" / "update_routes.py"
+    routes_file.parent.mkdir(parents=True)
+    routes_file.write_text("")
+    monkeypatch.setattr(update_routes, "__file__", str(routes_file))
+    monkeypatch.setattr(update_routes, "ensure_settings_file", lambda logger: str(tmp_path / "settings.json"))
+    monkeypatch.setattr(
+        update_routes.UpdateRoutes,
+        "_init_git_repo",
+        staticmethod(lambda plugin_root: (True, "main-fedcba9")),
+    )
+
+    req = _fake_request({"channel": "nightly"})
+    resp = await update_routes.UpdateRoutes.switch_channel(req)
+    data = _raw_body(resp)
+
+    assert data["success"] is True
+    assert data["channel"] == "nightly"
+    assert data["new_version"] == "main-fedcba9"
+
+
+@pytest.mark.asyncio
+async def test_switch_channel_to_nightly_with_git_calls_git_update(monkeypatch, tmp_path):
+    routes_file = tmp_path / "py" / "routes" / "update_routes.py"
+    routes_file.parent.mkdir(parents=True)
+    routes_file.write_text("")
+    monkeypatch.setattr(update_routes, "__file__", str(routes_file))
+    monkeypatch.setattr(update_routes, "ensure_settings_file", lambda logger: str(tmp_path / "settings.json"))
+
+    (tmp_path / ".git").mkdir()
+
+    async def _fake_git_update(*args, **kwargs):
+        return True, "main-1111111"
+
+    monkeypatch.setattr(
+        update_routes.UpdateRoutes, "_perform_git_update", _fake_git_update
+    )
+
+    req = _fake_request({"channel": "nightly"})
+    resp = await update_routes.UpdateRoutes.switch_channel(req)
+    data = _raw_body(resp)
+
+    assert data["success"] is True
+    assert data["channel"] == "nightly"
+    assert data["new_version"] == "main-1111111"
+
+
+@pytest.mark.asyncio
+async def test_switch_channel_to_release_with_git_calls_git_update(monkeypatch, tmp_path):
+    routes_file = tmp_path / "py" / "routes" / "update_routes.py"
+    routes_file.parent.mkdir(parents=True)
+    routes_file.write_text("")
+    monkeypatch.setattr(update_routes, "__file__", str(routes_file))
+    monkeypatch.setattr(update_routes, "ensure_settings_file", lambda logger: str(tmp_path / "settings.json"))
+
+    (tmp_path / ".git").mkdir()
+
+    async def _fake_git_update(*args, **kwargs):
+        return True, "v9.9.9"
+
+    monkeypatch.setattr(
+        update_routes.UpdateRoutes, "_perform_git_update", _fake_git_update
+    )
+
+    req = _fake_request({"channel": "release"})
+    resp = await update_routes.UpdateRoutes.switch_channel(req)
+    data = _raw_body(resp)
+
+    assert data["success"] is True
+    assert data["channel"] == "release"
+    assert data["new_version"] == "v9.9.9"
+
+
+@pytest.mark.asyncio
+async def test_switch_channel_to_release_without_git_still_downloads_zip(monkeypatch, tmp_path):
+    routes_file = tmp_path / "py" / "routes" / "update_routes.py"
+    routes_file.parent.mkdir(parents=True)
+    routes_file.write_text("")
+    monkeypatch.setattr(update_routes, "__file__", str(routes_file))
+    monkeypatch.setattr(update_routes, "ensure_settings_file", lambda logger: str(tmp_path / "settings.json"))
+
+    async def _fake_zip(*args, **kwargs):
+        return True, "v2.0.0"
+
+    monkeypatch.setattr(
+        update_routes.UpdateRoutes, "_download_and_replace_zip", _fake_zip
+    )
+
+    req = _fake_request({"channel": "release"})
+    resp = await update_routes.UpdateRoutes.switch_channel(req)
+    data = _raw_body(resp)
+
+    assert data["success"] is True
+    assert data["channel"] == "release"
+    assert data["new_version"] == "v2.0.0"
+
+
+class _NightlyDownloader:
+    """Returns a fake main-branch commit AND a compare response."""
+
+    commit_sha = "7777777"
+    commit_msg = "test: add nightly feature"
+    commit_date = "2026-07-27T12:00:00Z"
+    behind_by = 5
+
+    async def make_request(self, method, url, **kwargs):
+        if "/compare/" in url:
+            return True, {"behind_by": self.behind_by}
+        return True, {
+            "sha": self.commit_sha,
+            "commit": {
+                "message": self.commit_msg,
+                "committer": {"date": self.commit_date},
+            },
+        }
+
+
+@pytest.mark.asyncio
+async def test_get_nightly_version_parses_behind_by(monkeypatch):
+    monkeypatch.setattr(update_routes, "get_downloader", lambda: _stub_downloader(_NightlyDownloader()))
+
+    version, changelog, behind_by, commit_date = await update_routes.UpdateRoutes._get_nightly_version(
+        local_hash="abc1234"
+    )
+
+    assert version == "main-7777777"
+    assert behind_by == 5
+    assert commit_date == "2026-07-27"
+    assert len(changelog) == 1
+    assert changelog[0] == "test: add nightly feature"
+
+
+class _AheadCompareDownloader:
+    """Fake compare API response with status='ahead' (main is ahead of local)."""
+
+    commit_sha = "9999999"
+    commit_msg = "latest commit"
+    commit_date = "2026-07-28T00:00:00Z"
+    ahead_by = 3
+
+    async def make_request(self, method, url, **kwargs):
+        if "/compare/" in url:
+            return True, {"status": "ahead", "ahead_by": self.ahead_by, "behind_by": 0}
+        return True, {
+            "sha": self.commit_sha,
+            "commit": {
+                "message": self.commit_msg,
+                "committer": {"date": self.commit_date},
+            },
+        }
+
+
+@pytest.mark.asyncio
+async def test_get_nightly_version_reads_ahead_by_when_ahead(monkeypatch):
+    """compare/{local}...main returns status='ahead' → read ahead_by."""
+    monkeypatch.setattr(update_routes, "get_downloader", lambda: _stub_downloader(_AheadCompareDownloader()))
+
+    version, changelog, behind_by, commit_date = await update_routes.UpdateRoutes._get_nightly_version(
+        local_hash="oldhash"
+    )
+
+    assert version == "main-9999999"
+    assert behind_by == 3
+    assert commit_date == "2026-07-28"
+
+
+class _DivergedCompareDownloader:
+    """Fake compare API response with status='diverged' (both have unique commits)."""
+
+    commit_sha = "aaaaaaa"
+    commit_msg = "diverged test"
+    commit_date = "2026-07-29T00:00:00Z"
+
+    async def make_request(self, method, url, **kwargs):
+        if "/compare/" in url:
+            return True, {"status": "diverged", "ahead_by": 5, "behind_by": 2}
+        return True, {
+            "sha": self.commit_sha,
+            "commit": {
+                "message": self.commit_msg,
+                "committer": {"date": self.commit_date},
+            },
+        }
+
+
+@pytest.mark.asyncio
+async def test_get_nightly_version_reads_ahead_by_when_diverged(monkeypatch):
+    """compare/{local}...main returns status='diverged' → read ahead_by (remote ahead)."""
+    monkeypatch.setattr(update_routes, "get_downloader", lambda: _stub_downloader(_DivergedCompareDownloader()))
+
+    version, changelog, behind_by, commit_date = await update_routes.UpdateRoutes._get_nightly_version(
+        local_hash="divhash"
+    )
+
+    assert behind_by == 5
+
+
+class _CheckUpdatesDownloader:
+    """Fake downloader returning both a release list and a nightly commit + compare."""
+
+    commit_sha = "8888888"
+    commit_date = "2026-07-28T00:00:00Z"
+
+    async def make_request(self, method, url, **kwargs):
+        if "/releases" in url:
+            return True, [
+                {
+                    "tag_name": "v3.0.0",
+                    "body": "- Feature A\n- Feature B",
+                    "published_at": "2026-07-20T00:00:00Z",
+                }
+            ]
+        if "/compare/" in url:
+            return True, {"behind_by": 3}
+        return True, {
+            "sha": self.commit_sha + "0" * 33,
+            "commit": {
+                "message": "latest commit",
+                "committer": {"date": self.commit_date},
+            },
+        }
+
+
+@pytest.mark.asyncio
+async def test_check_updates_nightly_response_includes_behind_and_date(monkeypatch, tmp_path):
+    monkeypatch.setattr(update_routes, "get_downloader", lambda: _stub_downloader(_CheckUpdatesDownloader()))
+
+    monkeypatch.setattr(
+        update_routes.UpdateRoutes,
+        "_get_local_version",
+        staticmethod(lambda: "v1.0.0"),
+    )
+    monkeypatch.setattr(
+        update_routes.UpdateRoutes,
+        "_get_git_info",
+        staticmethod(lambda: {
+            "commit_hash": "abc1234",
+            "short_hash": "abc1234",
+            "branch": "main",
+            "commit_date": "2026-01-01",
+        }),
+    )
+
+    routes_file = tmp_path / "py" / "routes" / "update_routes.py"
+    routes_file.parent.mkdir(parents=True)
+    routes_file.write_text("")
+    monkeypatch.setattr(update_routes, "__file__", str(routes_file))
+    (tmp_path / ".git").mkdir()
+
+    req = _fake_request(query_params={"nightly": "true"})
+    resp = await update_routes.UpdateRoutes.check_updates(req)
+    data = _raw_body(resp)
+
+    assert data["success"] is True
+    assert data["nightly"] is True
+    assert data["has_git"] is True
+    assert data["behind_by"] == 3
+    assert data["commit_date"] == "2026-07-28"
+    assert data["latest_version"] == "main-8888888"
+    assert isinstance(data["releases"], list)
+    assert len(data["releases"]) == 1
+    assert data["releases"][0]["version"] == "v3.0.0"
+
+
+def _raw_body(response):
+    import json
+    return json.loads(response._body.decode())

tests/services/test_base_model_service.py

@@ -1252,3 +1252,69 @@ async def test_get_model_civitai_url_falls_back_when_host_setting_is_not_a_strin
         "model_id": "123",
         "version_id": "456",
     }
+
+
+class TestHfGroupKey:
+    """Tests for _extract_hf_group_key and _extract_group_key."""
+
+    # --- _extract_hf_group_key ---
+
+    def test_hf_group_key_valid_url(self):
+        """Standard HF URL returns hf:user/repo."""
+        item = {"hf_url": "https://huggingface.co/unsloth/qwen-edit"}
+        assert BaseModelService._extract_hf_group_key(item) == "hf:unsloth/qwen-edit"
+
+    def test_hf_group_key_url_with_subpath(self):
+        """URL with subpath still extracts just owner/repo."""
+        item = {"hf_url": "https://huggingface.co/user/repo/resolve/main/file.safetensors"}
+        assert BaseModelService._extract_hf_group_key(item) == "hf:user/repo"
+
+    def test_hf_group_key_empty_url(self):
+        """Empty hf_url returns None."""
+        assert BaseModelService._extract_hf_group_key({"hf_url": ""}) is None
+
+    def test_hf_group_key_no_url(self):
+        """Missing hf_url key returns None."""
+        assert BaseModelService._extract_hf_group_key({}) is None
+
+    def test_hf_group_key_none_url(self):
+        """None hf_url returns None."""
+        assert BaseModelService._extract_hf_group_key({"hf_url": None}) is None
+
+    def test_hf_group_key_invalid_url(self):
+        """Malformed HF URL returns None."""
+        assert BaseModelService._extract_hf_group_key({"hf_url": "not-a-url"}) is None
+        assert BaseModelService._extract_hf_group_key({"hf_url": "https://example.com"}) is None
+
+    # --- _extract_group_key ---
+
+    def test_group_key_civitai_only(self):
+        """CivitAI modelId returned as int."""
+        item = {"civitai": {"modelId": 123}}
+        assert BaseModelService._extract_group_key(item) == 123
+
+    def test_group_key_hf_only(self):
+        """HF-only item returns hf:user/repo string."""
+        item = {"hf_url": "https://huggingface.co/user/repo"}
+        assert BaseModelService._extract_group_key(item) == "hf:user/repo"
+
+    def test_group_key_civitai_preferred(self):
+        """CivitAI modelId takes precedence over hf_url."""
+        item = {
+            "civitai": {"modelId": 456},
+            "hf_url": "https://huggingface.co/other/repo",
+        }
+        assert BaseModelService._extract_group_key(item) == 456
+
+    def test_group_key_neither(self):
+        """No CivitAI or HF returns None."""
+        assert BaseModelService._extract_group_key({}) is None
+        assert BaseModelService._extract_group_key({"some": "data"}) is None
+
+    def test_group_key_civitai_none_model_id(self):
+        """civitai.modelId=None falls through to HF."""
+        item = {
+            "civitai": {"modelId": None},
+            "hf_url": "https://huggingface.co/user/repo",
+        }
+        assert BaseModelService._extract_group_key(item) == "hf:user/repo"

tests/services/test_download_manager_basic.py

@@ -1189,6 +1189,109 @@ def test_relative_path_sanitizes_model_and_version_placeholders():
     assert relative_path == "Fancy_Model/Version_One"
 
 
+def test_relative_path_empty_first_tag_fallback():
+    """Test that empty first_tag falls back to 'no tags'."""
+    manager = DownloadManager()
+    settings_manager = get_settings_manager()
+    settings_manager.settings["download_path_templates"]["lora"] = (
+        "{base_model}/{first_tag}"
+    )
+
+    version_info = {
+        "baseModel": "SDXL",
+        "model": {"name": "Test Model", "tags": []},
+        "creator": {"username": "Author"},
+    }
+
+    relative_path = manager._calculate_relative_path(version_info, "lora")
+
+    assert relative_path == "SDXL/no tags"
+
+
+def test_relative_path_empty_base_model_and_first_tag():
+    """Test that empty base_model + empty first_tag does NOT produce a leading slash."""
+    manager = DownloadManager()
+    settings_manager = get_settings_manager()
+    settings_manager.settings["download_path_templates"]["lora"] = (
+        "{base_model}/{first_tag}"
+    )
+
+    version_info = {
+        "baseModel": "",
+        "model": {"name": "Test Model", "tags": []},
+        "creator": {"username": "Author"},
+    }
+
+    relative_path = manager._calculate_relative_path(version_info, "lora")
+
+    assert not relative_path.startswith("/")
+    assert relative_path == "no tags"
+
+
+def test_relative_path_sanitizes_double_slashes():
+    """Test that empty placeholder substitutions don't produce double slashes."""
+    manager = DownloadManager()
+    settings_manager = get_settings_manager()
+    settings_manager.settings["download_path_templates"]["lora"] = (
+        "{base_model}/{first_tag}/{author}"
+    )
+
+    version_info = {
+        "baseModel": "SDXL",
+        "model": {"name": "Test Model", "tags": []},
+        "creator": {"username": "Author"},
+    }
+
+    relative_path = manager._calculate_relative_path(version_info, "lora")
+
+    assert "//" not in relative_path
+    assert relative_path == "SDXL/no tags/Author"
+
+
+def test_download_containment_accepts_symlink_save_dir(tmp_path):
+    """Verify the download path containment check (download_manager.py:1395-1397)
+    accepts save directories reached through user-created symlinks inside the
+    library root — reproducing the symlink scenario from issue #1028."""
+    # Library root with a symlink subdirectory pointing to an external drive
+    lora_root = tmp_path / "loras"
+    lora_root.mkdir()
+
+    external_drive = tmp_path / "external" / "models"
+    external_drive.mkdir(parents=True)
+
+    symlink = lora_root / "Krea 2"
+    symlink.symlink_to(str(external_drive))
+
+    # Simulate a download: base_save_dir = library root,
+    # relative_path = "Krea 2/concept/NewModel"
+    base_save_dir = str(lora_root)
+    save_dir = os.path.join(base_save_dir, "Krea 2", "concept", "NewModel")
+
+    # Replicate the exact containment check from download_manager.py
+    resolved_dir = os.path.abspath(os.path.normpath(save_dir))
+    base_dir = os.path.abspath(os.path.normpath(base_save_dir))
+
+    # Must NOT be rejected — symlinks are legitimate business paths
+    assert resolved_dir.startswith(base_dir + os.sep)
+
+
+def test_download_containment_rejects_dot_dot_traversal(tmp_path):
+    """Verify the download path containment check still blocks ``..`` traversal
+    after the realpath → abspath change."""
+    lora_root = tmp_path / "loras"
+    lora_root.mkdir()
+
+    base_save_dir = str(lora_root)
+    save_dir = os.path.join(base_save_dir, "..", "..", "etc", "passwd")
+
+    resolved_dir = os.path.abspath(os.path.normpath(save_dir))
+    base_dir = os.path.abspath(os.path.normpath(base_save_dir))
+
+    # Must be rejected — dot-dot escapes the library root
+    assert not resolved_dir.startswith(base_dir + os.sep)
+    assert resolved_dir != base_dir
+
+
 def test_distribute_preview_to_entries_moves_and_copies(tmp_path):
     """Test that preview distribution moves file to first entry and copies to others."""
     manager = DownloadManager()

tests/services/test_llm_service.py

@@ -243,6 +243,56 @@ class TestLLMServiceChatCompletionJson:
 
         assert result == {"key": "value"}
 
+    @pytest.mark.asyncio
+    async def test_chat_completion_json_falls_back_on_response_format_rejection(
+        self, llm_service,
+    ):
+        """Retry without response_format when provider rejects it (HTTP 400)."""
+        error_response = MockResponse(
+            400,
+            text_data=(
+                '{"error":"\'response_format.type\' must be '
+                '\'json_schema\' or \'text\'"}'
+            ),
+        )
+        success_response = MockResponse(
+            200,
+            json_data={
+                "choices": [{"message": {"content": '{"key": "value"}'}}],
+                "usage": {},
+                "model": "local-model",
+            },
+        )
+
+        call_index = 0
+
+        class FallbackMockSession:
+            def __init__(self):
+                self.last_url = None
+                self.last_json = None
+
+            def post(self, url, json=None, headers=None):
+                nonlocal call_index
+                self.last_url = url
+                self.last_json = json
+                call_index += 1
+                return error_response if call_index == 1 else success_response
+
+            async def __aenter__(self):
+                return self
+
+            async def __aexit__(self, *args):
+                pass
+
+        with mock.patch("aiohttp.ClientSession", return_value=FallbackMockSession()):
+            result = await llm_service.chat_completion_json(
+                system_prompt="You are helpful.",
+                user_prompt="Return JSON.",
+            )
+
+        assert result == {"key": "value"}
+        assert call_index == 2
+
     @pytest.mark.asyncio
     async def test_chat_completion_json_raises_on_non_json(self, llm_service):
         # Non-JSON content raises LLMResponseError (salvage also fails)

tests/services/test_model_lifecycle_service.py

@@ -1,13 +1,181 @@
 import json
+import os
 from pathlib import Path
 
 import pytest
 
-from py.services.model_lifecycle_service import ModelLifecycleService
+from py.services.model_lifecycle_service import ModelLifecycleService, _require_path_in_library_roots
 from py.utils.metadata_manager import MetadataManager
 from py.utils.models import LoraMetadata
 
 
+class ScannerWithRoots:
+    def __init__(self, roots):
+        self._roots = list(roots)
+
+    def get_model_roots(self):
+        return self._roots
+
+
+class TestRequirePathInLibraryRoots:
+    def test_accepts_path_within_root(self, tmp_path):
+        root = tmp_path / "loras"
+        root.mkdir()
+        model = root / "model.safetensors"
+        model.write_text("")
+
+        scanner = ScannerWithRoots([str(root)])
+        _require_path_in_library_roots(str(model), scanner)
+
+    def test_rejects_path_outside_roots(self, tmp_path):
+        root = tmp_path / "loras"
+        root.mkdir()
+        outside = tmp_path / "outside" / "model.safetensors"
+        outside.parent.mkdir(parents=True)
+        outside.write_text("")
+
+        scanner = ScannerWithRoots([str(root)])
+        with pytest.raises(ValueError, match="outside configured library"):
+            _require_path_in_library_roots(str(outside), scanner)
+
+    def test_passes_when_no_roots_configured(self, tmp_path):
+        f = tmp_path / "model.safetensors"
+        f.write_text("")
+
+        scanner = ScannerWithRoots([])
+        _require_path_in_library_roots(str(f), scanner)
+
+    def test_accepts_path_matching_root_exactly(self, tmp_path):
+        root = tmp_path / "loras"
+        root.mkdir()
+
+        scanner = ScannerWithRoots([str(root)])
+        _require_path_in_library_roots(str(root), scanner)
+
+    def test_accepts_symlink_within_root(self, tmp_path):
+        """Symlinks under a configured root are legitimate business paths
+        and should be accepted — containment works on business-path space,
+        not resolved physical paths."""
+        root = tmp_path / "loras"
+        root.mkdir()
+
+        outside_dir = tmp_path / "outside"
+        outside_dir.mkdir()
+        outside_file = outside_dir / "escaped.safetensors"
+        outside_file.write_text("")
+
+        symlink = root / "link.safetensors"
+        symlink.symlink_to(outside_file)
+
+        scanner = ScannerWithRoots([str(root)])
+        # Symlink path is under root in business-path space → accepted
+        _require_path_in_library_roots(str(symlink), scanner)
+
+    def test_rejects_dot_dot_traversal(self, tmp_path):
+        """Verify that ``..`` components are still resolved and blocked —
+        ``abspath`` normalises dot-dot but does not resolve symlinks."""
+        root = tmp_path / "loras"
+        root.mkdir()
+
+        # A path that traverses up out of the root via ..
+        escaped = os.path.join(str(root), "..", "..", "etc", "passwd")
+
+        scanner = ScannerWithRoots([str(root)])
+        with pytest.raises(ValueError, match="outside configured library"):
+            _require_path_in_library_roots(escaped, scanner)
+
+
+class ScannerForDelete:
+    def __init__(self, raw_data, roots, model_type="lora"):
+        self.model_type = model_type
+        self.cache = DummyCache(raw_data)
+        self._hash_index = DummyHashIndex()
+        self._roots = list(roots)
+        self._persist_calls = []
+
+    def get_model_roots(self):
+        return self._roots
+
+    async def get_cached_data(self):
+        return self.cache
+
+    async def _persist_current_cache(self):
+        self._persist_calls.append(True)
+
+
+@pytest.mark.asyncio
+async def test_delete_model_rejects_path_outside_roots(tmp_path: Path):
+    root = tmp_path / "loras"
+    root.mkdir()
+    model = root / "model.safetensors"
+    model.write_bytes(b"data")
+
+    scanner = ScannerForDelete(
+        raw_data=[{"file_path": str(model)}],
+        roots=[str(root)],
+    )
+    service = ModelLifecycleService(
+        scanner=scanner,
+        metadata_manager=DummyMetadataManager({"civitai": {"modelId": 1}}),
+        metadata_loader=lambda x: {},
+    )
+    # Path within root should work (model file exists)
+    result = await service.delete_model(str(model))
+    assert result["success"] is True
+
+    # Path outside root should be rejected
+    outside = tmp_path / "outside.safetensors"
+    outside.write_bytes(b"data")
+    scanner2 = ScannerForDelete(
+        raw_data=[],
+        roots=[str(root)],
+    )
+    service2 = ModelLifecycleService(
+        scanner=scanner2,
+        metadata_manager=DummyMetadataManager({}),
+        metadata_loader=lambda x: {},
+    )
+    with pytest.raises(ValueError, match="outside configured library"):
+        await service2.delete_model(str(outside))
+
+
+@pytest.mark.asyncio
+async def test_rename_model_rejects_path_outside_roots(tmp_path: Path):
+    root = tmp_path / "loras"
+    root.mkdir()
+
+    scanner = ScannerWithRoots([str(root)])
+    service = ModelLifecycleService(
+        scanner=scanner,
+        metadata_manager=DummyMetadataManager({}),
+        metadata_loader=lambda x: {},
+    )
+    outside = tmp_path / "outside.safetensors"
+    outside.write_bytes(b"data")
+
+    with pytest.raises(ValueError, match="outside configured library"):
+        await service.rename_model(file_path=str(outside), new_file_name="new_name")
+
+
+@pytest.mark.asyncio
+async def test_bulk_delete_rejects_any_path_outside_roots(tmp_path: Path):
+    root = tmp_path / "loras"
+    root.mkdir()
+    model_ok = root / "model.safetensors"
+    model_ok.write_bytes(b"data")
+    outside = tmp_path / "outside.safetensors"
+    outside.write_bytes(b"data")
+
+    scanner = ScannerWithRoots([str(root)])
+    service = ModelLifecycleService(
+        scanner=scanner,
+        metadata_manager=DummyMetadataManager({}),
+        metadata_loader=lambda x: {},
+    )
+    with pytest.raises(ValueError, match="outside configured library"):
+        await service.bulk_delete_models([str(model_ok), str(outside)])
+
+
 class DummyCache:
     def __init__(self, raw_data):
         self.raw_data = raw_data

tests/services/test_recipe_scanner.py

@@ -77,7 +77,15 @@ def recipe_scanner(tmp_path: Path, monkeypatch):
     monkeypatch.setattr(config, "loras_roots", [str(tmp_path)])
     stub = StubLoraScanner()
     scanner = RecipeScanner(lora_scanner=stub)
-    asyncio.run(scanner.refresh_cache(force=True))
+
+    async def _init():
+        await scanner.refresh_cache(force=True)
+        # Wait for FTS index build to finish — asyncio.run()
+        # cancels background tasks on return, so we must await it here.
+        if scanner._fts_index_task:
+            await scanner._fts_index_task
+
+    asyncio.run(_init())
     yield scanner, stub
     RecipeScanner._instance = None
     settings_manager_module.reset_settings_manager()

tests/services/test_wildcard_service.py

@@ -139,3 +139,122 @@ def test_contains_dynamic_syntax_detects_wildcards_and_options():
     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
+
+
+# ---------------------------------------------------------------------------
+# _pick_weighted_or_plain
+# ---------------------------------------------------------------------------
+
+
+def test_pick_weighted_or_plain_plain_values(monkeypatch, tmp_path):
+    """Plain values without :: are picked via rng.choice (fast path)."""
+    service, _ = _make_service(monkeypatch, tmp_path)
+
+    import random
+    rng = random.Random(42)
+
+    result = service._pick_weighted_or_plain(["red", "green", "blue"], rng)
+    assert result in {"red", "green", "blue"}
+    assert "::" not in result
+
+
+def test_pick_weighted_or_plain_deterministic_with_seed(monkeypatch, tmp_path):
+    """Same seed produces the same result for plain values."""
+    service, _ = _make_service(monkeypatch, tmp_path)
+
+    import random
+    first = service._pick_weighted_or_plain(["a", "b", "c"], random.Random(99))
+    second = service._pick_weighted_or_plain(["a", "b", "c"], random.Random(99))
+    assert first == second
+
+
+def test_pick_weighted_or_plain_weighted_values(monkeypatch, tmp_path):
+    """Weighted values use weighted selection and strip the N:: prefix."""
+    service, _ = _make_service(monkeypatch, tmp_path)
+
+    import random
+    values = ["3::apple", "1::banana"]
+    results = {"apple": 0, "banana": 0}
+    for seed in range(4000):
+        result = service._pick_weighted_or_plain(values, random.Random(seed))
+        assert result in results, f"Unexpected result: {result!r}"
+        assert "::" not in result
+        results[result] += 1
+
+    total = results["apple"] + results["banana"]
+    # 3:1 weight → apple ≈ 75%, banana ≈ 25%
+    assert 2700 < results["apple"] < 3300, f"apple count out of range: {results['apple']}"
+    assert 700 < results["banana"] < 1300, f"banana count out of range: {results['banana']}"
+
+
+def test_pick_weighted_or_plain_weight_one_values(monkeypatch, tmp_path):
+    """Values with explicit 1:: prefix have prefix stripped but are not weighted."""
+    service, _ = _make_service(monkeypatch, tmp_path)
+
+    import random
+    # All weights are 1.0 → no actual weighting, but :: prefix is stripped
+    values = ["1::foo", "1::bar"]
+    rng = random.Random(42)
+    results = {service._pick_weighted_or_plain(values, rng) for _ in range(200)}
+    assert results == {"foo", "bar"}
+    # Ensure the prefix is always stripped
+    for result in results:
+        assert "::" not in result
+
+
+def test_pick_weighted_or_plain_mixed_weighted_and_plain(monkeypatch, tmp_path):
+    """Mixed list with some weighted and some unweighted values."""
+    service, _ = _make_service(monkeypatch, tmp_path)
+
+    import random
+    values = ["5::x", "y", "z"]  # x has weight 5, y/z have default weight 1
+    results = {"x": 0, "y": 0, "z": 0}
+    for seed in range(4000):
+        result = service._pick_weighted_or_plain(values, random.Random(seed))
+        assert result in results
+        assert "::" not in result
+        results[result] += 1
+
+    # x (5) vs combined y+z (1+1=2) → ~71% / ~29%
+    x_pct = results["x"] / sum(results.values())
+    assert 0.65 < x_pct < 0.78, f"x proportion out of range: {x_pct:.3f}"
+
+
+def test_pick_weighted_or_plain_invalid_weight_prefix(monkeypatch, tmp_path):
+    """Invalid numeric prefix (e.g. 1.2.3) is NOT treated as a weight and
+    the prefix is NOT stripped, matching the updated strict regex."""
+    service, _ = _make_service(monkeypatch, tmp_path)
+
+    import random
+    rng = random.Random(42)
+
+    # "1.2.3::a" is not a valid number → treated as plain text value
+    result = service._pick_weighted_or_plain(["1.2.3::a", "b"], rng)
+    # It should keep the full text including :: because the prefix isn't a
+    # valid numeric weight according to the strict regex
+    assert result == "1.2.3::a" or result == "b"
+
+
+def test_pick_weighted_or_plain_glob_aggregation(monkeypatch, tmp_path):
+    """Weighted wildcard resolution through glob aggregation (__*__)."""
+    service, wildcards_dir = _make_service(monkeypatch, tmp_path)
+    wildcards_dir.mkdir()
+
+    (wildcards_dir / "animals").mkdir()
+    (wildcards_dir / "animals" / "cat.txt").write_text("3::tabby\n1::persian\n", encoding="utf-8")
+    (wildcards_dir / "animals" / "dog.txt").write_text("retriever\npoodle\n", encoding="utf-8")
+
+    # __animals/*__ aggregates all values across both files
+    # Weighted values should have :: stripped
+    results = {"tabby": 0, "persian": 0, "retriever": 0, "poodle": 0}
+    for seed in range(4000):
+        expanded = service.expand_text("__animals/*__", seed=seed)
+        assert expanded in results, f"Unexpected result: {expanded!r}"
+        assert "::" not in expanded
+        results[expanded] += 1
+
+    # tabby (3) vs persian (1) → ~75% / ~25% within the cat subset
+    cat_total = results["tabby"] + results["persian"]
+    if cat_total > 0:
+        tabby_pct = results["tabby"] / cat_total
+        assert 0.65 < tabby_pct < 0.85, f"tabby proportion out of range: {tabby_pct:.3f}"

tests/utils/test_utils.py

@@ -114,6 +114,38 @@ def test_calculate_relative_path_sanitizes_model_and_version_names(isolated_sett
     assert relative_path == "Fancy_Model/Version_One"
 
 
+def test_calculate_relative_path_sanitizes_leading_slash(isolated_settings):
+    """Test that empty base_model does NOT produce a leading slash in the path."""
+    isolated_settings["download_path_templates"]["lora"] = "{base_model}/{first_tag}"
+
+    model_data = {
+        "base_model": "",
+        "tags": [],
+        "civitai": {"id": 1, "creator": {"username": "Author"}},
+    }
+
+    relative_path = calculate_relative_path_for_model(model_data, "lora")
+
+    assert not relative_path.startswith("/")
+    assert relative_path == "no tags"
+
+
+def test_calculate_relative_path_sanitizes_double_slashes(isolated_settings):
+    """Test that empty substitutions don't produce double slashes."""
+    isolated_settings["download_path_templates"]["lora"] = "{base_model}/{first_tag}/{author}"
+
+    model_data = {
+        "base_model": "",
+        "tags": [],
+        "civitai": {"id": 1, "creator": {"username": "Author"}},
+    }
+
+    relative_path = calculate_relative_path_for_model(model_data, "lora")
+
+    assert "//" not in relative_path
+    assert relative_path == "no tags/Author"
+
+
 def test_calculate_recipe_fingerprint_filters_and_sorts():
     loras = [
         {"hash": "ABC", "strength": 0.1234},

vue-widgets/src/mode-change-handler.ts

@@ -16,6 +16,7 @@ export const LORA_PROVIDER_NODE_TYPES = [
   "Lora Stacker (LoraManager)",
   "Lora Randomizer (LoraManager)",
   "Lora Cycler (LoraManager)",
+  "Create Hook LoRA (LoraManager)",
 ] as const;
 
 /**

web/comfyui/create_hook_lora.js

@@ -0,0 +1,143 @@
+import { app } from "../../scripts/app.js";
+import {
+  getActiveLorasFromNode,
+  updateConnectedTriggerWords,
+  chainCallback,
+  mergeLoras,
+  getWidgetByName,
+  getWidgetSerializedValue,
+} from "./utils.js";
+import { addLorasWidget } from "./loras_widget.js";
+import { applyLoraValuesToText, debounce } from "./lora_syntax_utils.js";
+import { applySelectionHighlight } from "./trigger_word_highlight.js";
+import { updateConnectedLoraInfoNodes } from "./lora_info.js";
+
+app.registerExtension({
+  name: "LoraManager.CreateHookLora",
+
+  async beforeRegisterNodeDef(nodeType, nodeData, app) {
+    if (nodeType.comfyClass === "Create Hook LoRA (LoraManager)") {
+      chainCallback(nodeType.prototype, "onNodeCreated", function () {
+        // Enable widget serialization so loras widget state is persisted
+        this.serialize_widgets = true;
+
+        this.addInput("prev_hooks", "HOOKS", {
+          shape: 7,
+        });
+
+        // Flags to prevent callback loops between text widget ↔ loras widget
+        let isUpdating = false;
+        let isSyncingInput = false;
+
+        // Get the text input widget (AUTOCOMPLETE_TEXT_LORAS type, created by Vue widgets)
+        const inputWidget = getWidgetByName(this, "text");
+        if (!inputWidget) {
+          console.warn(
+            "LoRA Manager: text widget not found for Create Hook LoRA"
+          );
+          return;
+        }
+        this.inputWidget = inputWidget;
+
+        const scheduleInputSync = debounce((lorasValue) => {
+          if (isSyncingInput) {
+            return;
+          }
+
+          isSyncingInput = true;
+          isUpdating = true;
+
+          try {
+            const nextText = applyLoraValuesToText(
+              inputWidget.value,
+              lorasValue
+            );
+
+            if (inputWidget.value !== nextText) {
+              inputWidget.value = nextText;
+            }
+          } finally {
+            isUpdating = false;
+            isSyncingInput = false;
+          }
+        });
+
+        // Create the LoRA list widget
+        const result = addLorasWidget(
+          this,
+          "loras",
+          {
+            onSelectionChange: (selection) => {
+              applySelectionHighlight(this, selection);
+              updateConnectedLoraInfoNodes(this, selection);
+            },
+          },
+          (value) => {
+            // Prevent recursive calls
+            if (isUpdating) return;
+            isUpdating = true;
+
+            try {
+              // Update connected trigger word toggles with active LoRA names
+              const activeLoraNames = new Set();
+              value.forEach((lora) => {
+                if (lora.active) {
+                  activeLoraNames.add(lora.name);
+                }
+              });
+              updateConnectedTriggerWords(this, activeLoraNames);
+            } finally {
+              isUpdating = false;
+            }
+
+            scheduleInputSync(value);
+          }
+        );
+
+        this.lorasWidget = result.widget;
+
+        // Set up callback for the text input widget to trigger merge logic
+        inputWidget.callback = (value) => {
+          if (isUpdating) return;
+          isUpdating = true;
+
+          try {
+            const currentLoras = this.lorasWidget?.value || [];
+            const mergedLoras = mergeLoras(value, currentLoras);
+            if (this.lorasWidget) {
+              this.lorasWidget.value = mergedLoras;
+            }
+
+            // Update connected trigger word toggles
+            const activeLoraNames = getActiveLorasFromNode(this);
+            updateConnectedTriggerWords(this, activeLoraNames);
+          } finally {
+            isUpdating = false;
+          }
+        };
+      });
+    }
+  },
+
+  async loadedGraphNode(node) {
+    if (node.comfyClass === "Create Hook LoRA (LoraManager)") {
+      // Restore saved loras widget values on workflow load
+      let existingLoras = [];
+      if (node.widgets_values && node.widgets_values.length > 0) {
+        const savedValue = getWidgetSerializedValue(node, "loras");
+        existingLoras = savedValue || [];
+      }
+      // Merge the loras data from text widget with saved values
+      const inputWidget =
+        node.inputWidget || getWidgetByName(node, "text");
+      if (!inputWidget) {
+        console.warn(
+          "LoRA Manager: text widget not found while restoring Create Hook LoRA"
+        );
+        return;
+      }
+      const mergedLoras = mergeLoras(inputWidget.value, existingLoras);
+      node.lorasWidget.value = mergedLoras;
+    }
+  },
+});

web/comfyui/lora_loader.js

@@ -37,22 +37,28 @@ app.registerExtension({
 
     // Handle broadcast mode (for Desktop/non-browser support)
     if (numericNodeId === -1) {
-      // Find all Lora Loader nodes in the current graph
+      // Find all compatible nodes in the current graph
-      const loraLoaderNodes = getAllGraphNodes(app.graph)
+      const compatibleClasses = new Set([
+        "Lora Loader (LoraManager)",
+        "Lora Stacker (LoraManager)",
+        "WanVideo Lora Select (LoraManager)",
+        "Create Hook LoRA (LoraManager)",
+      ]);
+      const targetNodes = getAllGraphNodes(app.graph)
         .map(({ node }) => node)
-        .filter((node) => node?.comfyClass === "Lora Loader (LoraManager)");
+        .filter((node) => compatibleClasses.has(node?.comfyClass));
 
-      // Update each Lora Loader node found
+      // Update each node found
-      if (loraLoaderNodes.length > 0) {
+      if (targetNodes.length > 0) {
-        loraLoaderNodes.forEach((node) => {
+        targetNodes.forEach((node) => {
           this.updateNodeLoraCode(node, loraCode, mode);
         });
         console.log(
-          `Updated ${loraLoaderNodes.length} Lora Loader nodes in broadcast mode`
+          `Updated ${targetNodes.length} nodes in broadcast mode`
         );
       } else {
         console.warn(
-          "No Lora Loader nodes found in the workflow for broadcast update"
+          "No compatible LoRA nodes found in the workflow for broadcast update"
         );
       }
 
@@ -65,10 +71,11 @@ app.registerExtension({
       !node ||
       (node.comfyClass !== "Lora Loader (LoraManager)" &&
         node.comfyClass !== "Lora Stacker (LoraManager)" &&
-        node.comfyClass !== "WanVideo Lora Select (LoraManager)")
+        node.comfyClass !== "WanVideo Lora Select (LoraManager)" &&
+        node.comfyClass !== "Create Hook LoRA (LoraManager)")
     ) {
       console.warn(
-        "Node not found or not a LoraLoader:",
+        "Node not found or not a compatible LoRA node:",
         graphId ?? "root",
         nodeId
       );

web/comfyui/loras_widget.js

@@ -718,8 +718,10 @@ export function addLorasWidget(node, name, opts, callback) {
       });
     },
     setValue: function(v) {
+      // Ensure v is an array; handle falsy, string, or object values safely
+      v = Array.isArray(v) ? v : [];
       // Remove duplicates by keeping the last occurrence of each lora name
-      const uniqueValue = (v || []).reduce((acc, lora) => {
+      const uniqueValue = v.reduce((acc, lora) => {
         // Remove any existing lora with the same name
         const filtered = acc.filter(l => l.name !== lora.name);
         // Add the current lora
@@ -751,7 +753,11 @@ export function addLorasWidget(node, name, opts, callback) {
         }
       }
 
-      renderLoras(widgetValue, widget);
+      // Skip DOM re-render during drag to preserve pointer capture and event listeners.
+      // The strength inputs are updated directly via the pointermove handler instead.
+      if (!widget.__dragActive) {
+        renderLoras(widgetValue, widget);
+      }
     },
     hideOnZoom: true,
     selectOn: ['click', 'focus']

web/comfyui/loras_widget_events.js

@@ -37,17 +37,18 @@ export function handleStrengthDrag(name, initialStrength, initialX, event, widge
       syncClipStrengthIfCollapsed(lorasData[loraIndex]);
     }
     
-    // Update the widget value only if updateWidget flag is true
+    // Always write back to widget.value to persist the mutation.
-    // This allows us to update inputs directly during drag without triggering re-render
+    // During drag (updateWidget=false), setValue skips renderLoras via __dragActive flag,
-    if (updateWidget) {
+    // so the DOM survives and pointer capture is preserved.
-      widget.value = formatLoraValue(lorasData);
+    widget.value = formatLoraValue(lorasData);
-    }
     
-    // Force re-render via callback only if updateWidget is true
+    // Only fire callback on the final commit, not during drag
     if (updateWidget && widget.callback) {
       widget.callback(widget.value);
     }
   }
+  
+  return newStrength;
 }
 
 // Function to handle proportional strength adjustment for all LoRAs via header dragging
@@ -90,12 +91,11 @@ export function handleAllStrengthsDrag(initialStrengths, initialX, event, widget
     lorasData[index].clipStrength = Number(newClipStrength);
   });
   
-  // Update widget value only if updateWidget flag is true
+  // Always write back to widget.value to persist mutations.
-  if (updateWidget) {
+  // During drag (updateWidget=false), setValue skips renderLoras via __dragActive flag.
-    widget.value = formatLoraValue(lorasData);
+  widget.value = formatLoraValue(lorasData);
-  }
   
-  // Force re-render via callback only if updateWidget is true
+  // Only fire callback on the final commit, not during drag
   if (updateWidget && widget.callback) {
     widget.callback(widget.value);
   }
@@ -149,6 +149,13 @@ export function initDrag(
     activePointerId = e.pointerId;
     currentDragElement = e.currentTarget;
 
+    // Suppress renderLoras in setValue during drag so the DOM survives.
+    // The getter creates a new array on every read, so mutations to a
+    // parsed copy are lost unless we write back through widget.value.
+    // Writing back would normally trigger a full DOM re-render via setValue,
+    // destroying pointer capture. __dragActive tells setValue to skip the render.
+    widget.__dragActive = true;
+
     // Capture pointer to receive all subsequent events regardless of stopPropagation
     const target = e.currentTarget;
     target.setPointerCapture(e.pointerId);
@@ -181,17 +188,12 @@ export function initDrag(
     }
 
     // Call the strength adjustment function without updating widget.value during drag
-    handleStrengthDrag(name, initialStrength, initialX, e, widget, isClipStrength, false);
+    const newStrength = handleStrengthDrag(name, initialStrength, initialX, e, widget, isClipStrength, false);
     
     // Update strength input directly instead of re-rendering to avoid losing event listeners
     const strengthInput = currentDragElement.querySelector('.lm-lora-strength-input');
-    if (strengthInput) {
+    if (strengthInput && typeof newStrength === 'number') {
-      const lorasData = parseLoraValue(widget.value);
+      strengthInput.value = newStrength.toFixed(2);
-      const loraData = lorasData.find(l => l.name === name);
-      if (loraData) {
-        const strengthValue = isClipStrength ? loraData.clipStrength : loraData.strength;
-        strengthInput.value = Number(strengthValue).toFixed(2);
-      }
     }
     
     // Prevent showing the preview tooltip during drag
@@ -226,23 +228,30 @@ export function initDrag(
     // Remove the class to restore normal cursor behavior
     document.body.classList.remove('lm-lora-strength-dragging');
 
-    // Only call onDragEnd and re-render if we actually dragged
+    // Only call onDragEnd and re-render if we actually dragged.
-    if (wasDragging) {
+    // try-finally guarantees __dragActive is always cleared, preventing a
-      if (typeof onDragEnd === 'function') {
+    // permanent UI freeze if onDragEnd or setValue throws during cleanup.
-        onDragEnd();
+    try {
-      }
+      if (wasDragging) {
+        if (typeof onDragEnd === 'function') {
+          onDragEnd();
+        }
 
-      // Commit final value through options.setValue so external observers are notified.
+        // Re-enable renderLoras in setValue and flush final value through setter.
-      // During drag, handleStrengthDrag mutates widgetValue in-place (updateWidget=false),
+        // The last handleStrengthDrag call already wrote the final strength to
-      // bypassing widget.value setter and options.setValue entirely. This assignment
+        // widgetValue via setValue (with render suppressed). widget.value = widget.value
-      // flushes the in-place mutation through the setter so any setValue wrappers fire.
+        // triggers setValue again, which now calls renderLoras since __dragActive is false.
-      widget.value = widget.value;
+        widget.__dragActive = false;
-      if (typeof widget.callback === 'function') {
+        widget.value = widget.value;
-        widget.callback(widget.value);
+        if (typeof widget.callback === 'function') {
+          widget.callback(widget.value);
+        }
       }
+    } finally {
+      widget.__dragActive = false;
     }
   };
-  
+
   dragEl.addEventListener('pointerup', endDrag);
   dragEl.addEventListener('pointercancel', endDrag);
 }
@@ -285,6 +294,9 @@ export function initHeaderDrag(headerEl, widget, renderFunction) {
     activePointerId = e.pointerId;
     currentHeaderElement = e.currentTarget;
 
+    // Suppress renderLoras in setValue during drag (see initDrag for rationale)
+    widget.__dragActive = true;
+
     // Capture pointer to receive all subsequent events regardless of stopPropagation
     const target = e.currentTarget;
     target.setPointerCapture(e.pointerId);
@@ -352,13 +364,20 @@ export function initHeaderDrag(headerEl, widget, renderFunction) {
     // Remove the class to restore normal cursor behavior
     document.body.classList.remove('lm-lora-strength-dragging');
 
-    // Only re-render if we actually dragged
+    // Only re-render if we actually dragged.
-    if (wasDragging) {
+    // try-finally guarantees __dragActive is always cleared, preventing a
-      // Commit final value through options.setValue so external observers are notified.
+    // permanent UI freeze if setValue throws during cleanup.
-      widget.value = widget.value;
+    try {
-      if (typeof widget.callback === 'function') {
+      if (wasDragging) {
-        widget.callback(widget.value);
+        // Re-enable renderLoras in setValue and flush final value through setter
+        widget.__dragActive = false;
+        widget.value = widget.value;
+        if (typeof widget.callback === 'function') {
+          widget.callback(widget.value);
+        }
       }
+    } finally {
+      widget.__dragActive = false;
     }
   };
 

web/comfyui/node_marker.js

@@ -7,12 +7,16 @@ import { app } from "../../scripts/app.js";
 // Roles are stored in ``node.properties.lm_marker_role`` and automatically
 // persist with the workflow JSON.
 //
+// Two categories:
+//   send_* – consumed by the standalone UI's "Send to Workflow" feature
+//   meta_* – consumed by the metadata processor to override heuristic inference
+//
 // The workflow registry reads these markers and makes them available to the
 // standalone UI (e.g. ``sendEmbeddingToWorkflow`` also considers nodes marked
 // as ``send_prompt_target``).
 // =============================================================================
 
-const ROLES = {
+const SEND_ROLES = {
   send_prompt_target: {
     label: "Send Prompt Target",
     emoji: "\uD83D\uDCDD",
@@ -23,6 +27,28 @@ const ROLES = {
   },
 };
 
+const META_ROLES = {
+  meta_primary_model: {
+    label: "Meta hints: Primary Model",
+    emoji: "\uD83D\uDCA1",
+  },
+  meta_primary_sampler: {
+    label: "Meta hints: Primary Sampler",
+    emoji: "\uD83D\uDCA1",
+  },
+  meta_positive_prompt: {
+    label: "Meta hints: Positive Prompt",
+    emoji: "\uD83D\uDCA1",
+  },
+  meta_negative_prompt: {
+    label: "Meta hints: Negative Prompt",
+    emoji: "\uD83D\uDCA1",
+  },
+};
+
+// Flat lookup for setMarker / getMarker / clearMarker
+const ROLES = { ...SEND_ROLES, ...META_ROLES };
+
 // ---- Helpers ----------------------------------------------------------------
 
 function getMarker(node) {
@@ -54,7 +80,7 @@ function clearMarker(node) {
   // Restore original title: prefer stripping emoji from current title
   // (captures user renames after marking), fall back to saved original.
   const cleaned = node.title?.replace(
-    /^(\u2709\uFE0F?|\u2699\uFE0F?|\uD83D\uDCDD|\uD83C\uDF9B\uFE0F?|\uD83D\uDD27)\s*/,
+    /^(\u2709\uFE0F?|\u2699\uFE0F?|\uD83D\uDCDD|\uD83C\uDF9B\uFE0F?|\uD83D\uDD27|\uD83D\uDCA1)\s*/,
     ''
   );
   if (cleaned && cleaned !== node.title) {
@@ -84,16 +110,23 @@ function buildSubmenuOptions(node) {
   const currentRole = getMarker(node);
   const options = [];
 
-  for (const [key, def] of Object.entries(ROLES)) {
+  const buildGroup = (roles) => {
-    const isActive = currentRole === key;
+    for (const [key, def] of Object.entries(roles)) {
-    options.push({
+      const isActive = currentRole === key;
-      content: `${isActive ? "\u2713 " : ""}${def.label}`,
+      options.push({
-      disabled: isActive,
+        content: `${isActive ? "\u2713 " : ""}${def.label}`,
-      callback: () => setMarker(node, key),
+        disabled: isActive,
-    });
+        callback: () => setMarker(node, key),
-  }
+      });
+    }
+  };
+
+  buildGroup(SEND_ROLES);
+  options.push(null);  // separator
+  buildGroup(META_ROLES);
 
   if (currentRole) {
+    options.push(null);  // separator
     options.push({
       content: "Clear marker",
       callback: () => clearMarker(node),

web/comfyui/save_image_extra_output.js

@@ -130,6 +130,35 @@ app.registerExtension({
       widget.serializeValue = () => {
         return applyTextReplacements(widget.value);
       };
+
+      // --- Conditional widget visibility for webp_method / jpeg_subsampling ---
+      const formatWidget = getWidgetByName(this, "file_format");
+      const webpMethodWidget = getWidgetByName(this, "webp_method");
+      const jpegSubWidget = getWidgetByName(this, "jpeg_subsampling");
+
+      function updateFormatConditional() {
+        const fmt = formatWidget?.value;
+        if (webpMethodWidget) {
+          webpMethodWidget.disabled = fmt !== "webp";
+          webpMethodWidget.hidden = fmt !== "webp";
+        }
+        if (jpegSubWidget) {
+          jpegSubWidget.disabled = fmt !== "jpeg";
+          jpegSubWidget.hidden = fmt !== "jpeg";
+        }
+      }
+
+      // Set initial state
+      updateFormatConditional();
+
+      // Watch for format changes
+      if (formatWidget) {
+        const origCallback = formatWidget.callback;
+        formatWidget.callback = function (value) {
+          origCallback?.call(this, value);
+          updateFormatConditional();
+        };
+      }
     });
   },
 });

web/comfyui/trigger_word_highlight.js

@@ -12,6 +12,7 @@ const LORA_NODE_CLASSES = new Set([
   "Lora Loader (LoraManager)",
   "Lora Stacker (LoraManager)",
   "WanVideo Lora Select (LoraManager)",
+  "Create Hook LoRA (LoraManager)",
 ]);
 
 function normalizeTriggerWordList(triggerWords) {

web/comfyui/utils.js

@@ -8,6 +8,7 @@ export const LORA_PROVIDER_NODE_TYPES = [
   "Lora Stacker (LoraManager)",
   "Lora Randomizer (LoraManager)",
   "Lora Cycler (LoraManager)",
+  "Create Hook LoRA (LoraManager)",
 ];
 
 export const LORA_STACK_AGGREGATOR_NODE_TYPES = [

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

@@ -15656,7 +15656,8 @@ function createVueWidgetCleanup(vueApp, onCleanup) {
 const LORA_PROVIDER_NODE_TYPES$1 = [
   "Lora Stacker (LoraManager)",
   "Lora Randomizer (LoraManager)",
-  "Lora Cycler (LoraManager)"
+  "Lora Cycler (LoraManager)",
+  "Create Hook LoRA (LoraManager)"
 ];
 const LORA_STACK_AGGREGATOR_NODE_TYPES$1 = [
   "Lora Stack Combiner (LoraManager)"
@@ -15781,7 +15782,8 @@ const ROOT_GRAPH_ID = "root";
 const LORA_PROVIDER_NODE_TYPES = [
   "Lora Stacker (LoraManager)",
   "Lora Randomizer (LoraManager)",
-  "Lora Cycler (LoraManager)"
+  "Lora Cycler (LoraManager)",
+  "Create Hook LoRA (LoraManager)"
 ];
 const LORA_STACK_AGGREGATOR_NODE_TYPES = [
   "Lora Stack Combiner (LoraManager)"

web/comfyui/workflow_registry.js

@@ -9,6 +9,7 @@ const LORA_NODE_CLASSES = new Set([
     "Lora Loader (LoraManager)",
     "Lora Stacker (LoraManager)",
     "WanVideo Lora Select (LoraManager)",
+    "Create Hook LoRA (LoraManager)",
 ]);
 
 const TARGET_WIDGET_NAMES = new Set(["ckpt_name", "unet_name"]);