chore(release): update version to 0.9.2 and add release notes for bulk auto-organization feature

Create wanvideo_lora_select_from_text.py

README.md

@@ -34,6 +34,10 @@ Enhance your Civitai browsing experience with our companion browser extension! S
 
 ## Release Notes
 
+### v0.9.2
+* **Bulk Auto-Organization Action** - Added a new bulk auto-organization feature. You can now select multiple models and automatically organize them according to your current path template settings for streamlined management.
+* **Bug Fixes** - Addressed several bugs to improve stability and reliability.
+
 ### v0.9.1
 * **Enhanced Bulk Operations** - Improved bulk operations with Marquee Selection and a bulk operation context menu, providing a more intuitive, desktop-application-like user experience.
 * **New Bulk Actions** - Added bulk operations for adding tags and setting base models to multiple models simultaneously.

i18n_migration_summary.md

@@ -1,170 +0,0 @@
-# i18n System Migration Complete
-
-## 概要 (Summary)
-
-成功完成了从JavaScript ES6模块到JSON格式的国际化系统迁移，包含完整的多语言翻译和代码更新。
-
-Successfully completed the migration from JavaScript ES6 modules to JSON format for the internationalization system, including complete multilingual translations and code updates.
-
-## 完成的工作 (Completed Work)
-
-### 1. 文件结构重组 (File Structure Reorganization)
-- **新建目录**: `/locales/` - 集中存放所有JSON翻译文件
-- **移除目录**: `/static/js/i18n/locales/` - 删除了旧的JavaScript文件
-
-### 2. 格式转换 (Format Conversion)
-- **转换前**: ES6模块格式 (`export const en = { ... }`)
-- **转换后**: 标准JSON格式 (`{ ... }`)
-- **支持语言**: 9种语言完全转换
-  - English (en)
-  - 简体中文 (zh-CN)
-  - 繁體中文 (zh-TW)
-  - 日本語 (ja)
-  - Русский (ru)
-  - Deutsch (de)
-  - Français (fr)
-  - Español (es)
-  - 한국어 (ko)
-
-### 3. 翻译完善 (Translation Completion)
-- **翻译条目**: 每种语言386个翻译键值对
-- **覆盖范围**: 完整覆盖所有UI元素
-- **质量保证**: 所有翻译键在各语言间保持一致
-
-### 4. JavaScript代码更新 (JavaScript Code Updates)
-
-#### 主要修改文件: `static/js/i18n/index.js`
-```javascript
-// 旧版本: 静态导入
-import { en } from './locales/en.js';
-
-// 新版本: 动态JSON加载
-async loadLocale(locale) {
-    const response = await fetch(`/locales/${locale}.json`);
-    return await response.json();
-}
-```
-
-#### 核心功能更新:
-- **构造函数**: 从静态导入改为配置驱动
-- **语言加载**: 异步JSON获取机制
-- **初始化**: 支持Promise-based的异步初始化
-- **错误处理**: 增强的回退机制到英语
-- **向后兼容**: 保持现有API接口不变
-
-### 5. Python服务端更新 (Python Server-side Updates)
-
-#### 修改文件: `py/services/server_i18n.py`
-```python
-# 旧版本: 解析JavaScript文件
-def _load_locale_file(self, path, filename, locale_code):
-    # 复杂的JS到JSON转换逻辑
-    
-# 新版本: 直接加载JSON
-def _load_locale_file(self, path, filename, locale_code):
-    with open(file_path, 'r', encoding='utf-8') as f:
-        translations = json.load(f)
-```
-
-#### 路径更新:
-- **旧路径**: `static/js/i18n/locales/*.js`
-- **新路径**: `locales/*.json`
-
-### 6. 服务器路由配置 (Server Route Configuration)
-
-#### 修改文件: `standalone.py`
-```python
-# 新增静态路由服务JSON文件
-app.router.add_static('/locales', locales_path)
-```
-
-## 技术架构 (Technical Architecture)
-
-### 前端 (Frontend)
-```
-Browser → JavaScript i18n Manager → fetch('/locales/{lang}.json') → JSON Response
-```
-
-### 后端 (Backend)
-```
-Python Server → ServerI18nManager → Direct JSON loading → Template Rendering
-```
-
-### 文件组织 (File Organization)
-```
-ComfyUI-Lora-Manager/
-├── locales/                    # 新的JSON翻译文件目录
-│   ├── en.json                 # 英语翻译 (基准)
-│   ├── zh-CN.json             # 简体中文翻译
-│   ├── zh-TW.json             # 繁体中文翻译
-│   ├── ja.json                # 日语翻译
-│   ├── ru.json                # 俄语翻译
-│   ├── de.json                # 德语翻译
-│   ├── fr.json                # 法语翻译
-│   ├── es.json                # 西班牙语翻译
-│   └── ko.json                # 韩语翻译
-├── static/js/i18n/
-│   └── index.js               # 更新的JavaScript i18n管理器
-└── py/services/
-    └── server_i18n.py        # 更新的Python服务端i18n
-```
-
-## 测试验证 (Testing & Validation)
-
-### 测试脚本: `test_i18n.py`
-```bash
-🚀 Testing updated i18n system...
-✅ All JSON locale files are valid (9 languages)
-✅ Server-side i18n system working correctly
-✅ All languages have complete translations (386 keys each)
-🎉 All tests passed!
-```
-
-### 验证内容:
-1. **JSON文件完整性**: 所有文件格式正确，语法有效
-2. **翻译完整性**: 各语言翻译键值一致，无缺失
-3. **服务端功能**: Python i18n服务正常加载和翻译
-4. **参数插值**: 动态参数替换功能正常
-
-## 优势与改进 (Benefits & Improvements)
-
-### 1. 维护性提升
-- **简化格式**: JSON比JavaScript对象更易于编辑和维护
-- **工具支持**: 更好的编辑器语法高亮和验证支持
-- **版本控制**: 更清晰的diff显示，便于追踪更改
-
-### 2. 性能优化
-- **按需加载**: 只加载当前所需语言，减少初始加载时间
-- **缓存友好**: JSON文件可以被浏览器和CDN更好地缓存
-- **压缩效率**: JSON格式压缩率通常更高
-
-### 3. 开发体验
-- **动态切换**: 支持运行时语言切换，无需重新加载页面
-- **易于扩展**: 添加新语言只需增加JSON文件
-- **调试友好**: 更容易定位翻译问题和缺失键
-
-### 4. 部署便利
-- **静态资源**: JSON文件可以作为静态资源部署
-- **CDN支持**: 可以通过CDN分发翻译文件
-- **版本管理**: 更容易管理不同版本的翻译
-
-## 兼容性保证 (Compatibility Assurance)
-
-- **API兼容**: 所有现有的JavaScript API保持不变
-- **调用方式**: 现有代码无需修改即可工作
-- **错误处理**: 增强的回退机制确保用户体验
-- **性能**: 新系统性能与旧系统相当或更好
-
-## 后续建议 (Future Recommendations)
-
-1. **监控**: 部署后监控翻译加载性能和错误率
-2. **优化**: 考虑实施翻译缓存策略以进一步提升性能
-3. **扩展**: 可以考虑添加翻译管理界面，便于非技术人员更新翻译
-4. **自动化**: 实施CI/CD流程自动验证翻译完整性
-
----
-
-**迁移完成时间**: 2024年
-**影响文件数量**: 21个文件 (9个新JSON + 2个JS更新 + 1个Python更新 + 1个服务器配置)
-**翻译键总数**: 386个 × 9种语言 = 3,474个翻译条目
-**测试状态**: ✅ 全部通过

locales/de.json

@@ -324,8 +324,18 @@
             "copyAll": "Alle Syntax kopieren",
             "refreshAll": "Alle Metadaten aktualisieren",
             "moveAll": "Alle in Ordner verschieben",
+            "autoOrganize": "Automatisch organisieren",
             "deleteAll": "Alle Modelle löschen",
-            "clear": "Auswahl löschen"
+            "clear": "Auswahl löschen",
+            "autoOrganizeProgress": {
+                "initializing": "Automatische Organisation wird initialisiert...",
+                "starting": "Automatische Organisation für {type} wird gestartet...",
+                "processing": "Verarbeitung ({processed}/{total}) – {success} verschoben, {skipped} übersprungen, {failures} fehlgeschlagen",
+                "cleaning": "Leere Verzeichnisse werden bereinigt...",
+                "completed": "Abgeschlossen: {success} verschoben, {skipped} übersprungen, {failures} fehlgeschlagen",
+                "complete": "Automatische Organisation abgeschlossen",
+                "error": "Fehler: {error}"
+            }
         },
         "contextMenu": {
             "refreshMetadata": "Civitai-Daten aktualisieren",
@@ -942,7 +952,11 @@
             "downloadPartialWithAccess": "{completed} von {total} LoRAs heruntergeladen. {accessFailures} fehlgeschlagen aufgrund von Zugriffsbeschränkungen. Überprüfen Sie Ihren API-Schlüssel in den Einstellungen oder den Early Access-Status.",
             "pleaseSelectVersion": "Bitte wählen Sie eine Version aus",
             "versionExists": "Diese Version existiert bereits in Ihrer Bibliothek",
-            "downloadCompleted": "Download erfolgreich abgeschlossen"
+            "downloadCompleted": "Download erfolgreich abgeschlossen",
+            "autoOrganizeSuccess": "Automatische Organisation für {count} {type} erfolgreich abgeschlossen",
+            "autoOrganizePartialSuccess": "Automatische Organisation abgeschlossen: {success} verschoben, {failures} fehlgeschlagen von insgesamt {total} Modellen",
+            "autoOrganizeFailed": "Automatische Organisation fehlgeschlagen: {error}",
+            "noModelsSelected": "Keine Modelle ausgewählt"
         },
         "recipes": {
             "fetchFailed": "Fehler beim Abrufen der Rezepte: {message}",

locales/en.json

@@ -324,8 +324,18 @@
             "copyAll": "Copy All Syntax",
             "refreshAll": "Refresh All Metadata",
             "moveAll": "Move All to Folder",
+            "autoOrganize": "Auto-Organize Selected",
             "deleteAll": "Delete All Models",
-            "clear": "Clear Selection"
+            "clear": "Clear Selection",
+            "autoOrganizeProgress": {
+                "initializing": "Initializing auto-organize...",
+                "starting": "Starting auto-organize for {type}...",
+                "processing": "Processing ({processed}/{total}) - {success} moved, {skipped} skipped, {failures} failed",
+                "cleaning": "Cleaning up empty directories...",
+                "completed": "Completed: {success} moved, {skipped} skipped, {failures} failed",
+                "complete": "Auto-organize complete",
+                "error": "Error: {error}"
+            }
         },
         "contextMenu": {
             "refreshMetadata": "Refresh Civitai Data",
@@ -942,7 +952,11 @@
             "downloadPartialWithAccess": "Downloaded {completed} of {total} LoRAs. {accessFailures} failed due to access restrictions. Check your API key in settings or early access status.",
             "pleaseSelectVersion": "Please select a version",
             "versionExists": "This version already exists in your library",
-            "downloadCompleted": "Download completed successfully"
+            "downloadCompleted": "Download completed successfully",
+            "autoOrganizeSuccess": "Auto-organize completed successfully for {count} {type}",
+            "autoOrganizePartialSuccess": "Auto-organize completed with {success} moved, {failures} failed out of {total} models",
+            "autoOrganizeFailed": "Auto-organize failed: {error}",
+            "noModelsSelected": "No models selected"
         },
         "recipes": {
             "fetchFailed": "Failed to fetch recipes: {message}",

locales/es.json

@@ -324,8 +324,18 @@
             "copyAll": "Copiar toda la sintaxis",
             "refreshAll": "Actualizar todos los metadatos",
             "moveAll": "Mover todos a carpeta",
+            "autoOrganize": "Auto-organizar seleccionados",
             "deleteAll": "Eliminar todos los modelos",
-            "clear": "Limpiar selección"
+            "clear": "Limpiar selección",
+            "autoOrganizeProgress": {
+                "initializing": "Inicializando auto-organización...",
+                "starting": "Iniciando auto-organización para {type}...",
+                "processing": "Procesando ({processed}/{total}) - {success} movidos, {skipped} omitidos, {failures} fallidos",
+                "cleaning": "Limpiando directorios vacíos...",
+                "completed": "Completado: {success} movidos, {skipped} omitidos, {failures} fallidos",
+                "complete": "Auto-organización completada",
+                "error": "Error: {error}"
+            }
         },
         "contextMenu": {
             "refreshMetadata": "Actualizar datos de Civitai",
@@ -942,7 +952,11 @@
             "downloadPartialWithAccess": "Descargados {completed} de {total} LoRAs. {accessFailures} fallaron debido a restricciones de acceso. Revisa tu clave API en configuración o estado de acceso temprano.",
             "pleaseSelectVersion": "Por favor selecciona una versión",
             "versionExists": "Esta versión ya existe en tu biblioteca",
-            "downloadCompleted": "Descarga completada exitosamente"
+            "downloadCompleted": "Descarga completada exitosamente",
+            "autoOrganizeSuccess": "Auto-organización completada exitosamente para {count} {type}",
+            "autoOrganizePartialSuccess": "Auto-organización completada con {success} movidos, {failures} fallidos de un total de {total} modelos",
+            "autoOrganizeFailed": "Auto-organización fallida: {error}",
+            "noModelsSelected": "No hay modelos seleccionados"
         },
         "recipes": {
             "fetchFailed": "Error al obtener recetas: {message}",

locales/fr.json

@@ -324,8 +324,18 @@
             "copyAll": "Copier toute la syntaxe",
             "refreshAll": "Actualiser toutes les métadonnées",
             "moveAll": "Déplacer tout vers un dossier",
+            "autoOrganize": "Auto-organiser la sélection",
             "deleteAll": "Supprimer tous les modèles",
-            "clear": "Effacer la sélection"
+            "clear": "Effacer la sélection",
+            "autoOrganizeProgress": {
+                "initializing": "Initialisation de l'auto-organisation...",
+                "starting": "Démarrage de l'auto-organisation pour {type}...",
+                "processing": "Traitement ({processed}/{total}) - {success} déplacés, {skipped} ignorés, {failures} échecs",
+                "cleaning": "Nettoyage des répertoires vides...",
+                "completed": "Terminé : {success} déplacés, {skipped} ignorés, {failures} échecs",
+                "complete": "Auto-organisation terminée",
+                "error": "Erreur : {error}"
+            }
         },
         "contextMenu": {
             "refreshMetadata": "Actualiser les données Civitai",
@@ -942,7 +952,11 @@
             "downloadPartialWithAccess": "{completed} sur {total} LoRAs téléchargés. {accessFailures} ont échoué en raison de restrictions d'accès. Vérifiez votre clé API dans les paramètres ou le statut d'accès anticipé.",
             "pleaseSelectVersion": "Veuillez sélectionner une version",
             "versionExists": "Cette version existe déjà dans votre bibliothèque",
-            "downloadCompleted": "Téléchargement terminé avec succès"
+            "downloadCompleted": "Téléchargement terminé avec succès",
+            "autoOrganizeSuccess": "Auto-organisation terminée avec succès pour {count} {type}",
+            "autoOrganizePartialSuccess": "Auto-organisation terminée avec {success} déplacés, {failures} échecs sur {total} modèles",
+            "autoOrganizeFailed": "Échec de l'auto-organisation : {error}",
+            "noModelsSelected": "Aucun modèle sélectionné"
         },
         "recipes": {
             "fetchFailed": "Échec de la récupération des recipes : {message}",

locales/ja.json

@@ -324,8 +324,18 @@
             "copyAll": "すべての構文をコピー",
             "refreshAll": "すべてのメタデータを更新",
             "moveAll": "すべてをフォルダに移動",
+            "autoOrganize": "自動整理を実行",
             "deleteAll": "すべてのモデルを削除",
-            "clear": "選択をクリア"
+            "clear": "選択をクリア",
+            "autoOrganizeProgress": {
+                "initializing": "自動整理を初期化中...",
+                "starting": "{type}の自動整理を開始中...",
+                "processing": "処理中（{processed}/{total}）- {success} 移動、{skipped} スキップ、{failures} 失敗",
+                "cleaning": "空のディレクトリをクリーンアップ中...",
+                "completed": "完了：{success} 移動、{skipped} スキップ、{failures} 失敗",
+                "complete": "自動整理が完了しました",
+                "error": "エラー：{error}"
+            }
         },
         "contextMenu": {
             "refreshMetadata": "Civitaiデータを更新",
@@ -942,7 +952,11 @@
             "downloadPartialWithAccess": "{total} LoRAのうち {completed} がダウンロードされました。{accessFailures} はアクセス制限により失敗しました。設定でAPIキーまたはアーリーアクセス状況を確認してください。",
             "pleaseSelectVersion": "バージョンを選択してください",
             "versionExists": "このバージョンは既にライブラリに存在します",
-            "downloadCompleted": "ダウンロードが正常に完了しました"
+            "downloadCompleted": "ダウンロードが正常に完了しました",
+            "autoOrganizeSuccess": "{count} {type} の自動整理が正常に完了しました",
+            "autoOrganizePartialSuccess": "自動整理が完了しました：{total} モデル中 {success} 移動、{failures} 失敗",
+            "autoOrganizeFailed": "自動整理に失敗しました：{error}",
+            "noModelsSelected": "モデルが選択されていません"
         },
         "recipes": {
             "fetchFailed": "レシピの取得に失敗しました：{message}",

locales/ko.json

@@ -324,8 +324,18 @@
             "copyAll": "모든 문법 복사",
             "refreshAll": "모든 메타데이터 새로고침",
             "moveAll": "모두 폴더로 이동",
+            "autoOrganize": "자동 정리 선택",
             "deleteAll": "모든 모델 삭제",
-            "clear": "선택 지우기"
+            "clear": "선택 지우기",
+            "autoOrganizeProgress": {
+                "initializing": "자동 정리 초기화 중...",
+                "starting": "{type}에 대한 자동 정리 시작...",
+                "processing": "처리 중 ({processed}/{total}) - {success}개 이동, {skipped}개 건너뜀, {failures}개 실패",
+                "cleaning": "빈 디렉토리 정리 중...",
+                "completed": "완료: {success}개 이동, {skipped}개 건너뜀, {failures}개 실패",
+                "complete": "자동 정리 완료",
+                "error": "오류: {error}"
+            }
         },
         "contextMenu": {
             "refreshMetadata": "Civitai 데이터 새로고침",
@@ -942,7 +952,11 @@
             "downloadPartialWithAccess": "{total}개 중 {completed}개 LoRA가 다운로드되었습니다. {accessFailures}개는 액세스 제한으로 실패했습니다. 설정에서 API 키 또는 얼리 액세스 상태를 확인하세요.",
             "pleaseSelectVersion": "버전을 선택해주세요",
             "versionExists": "이 버전은 이미 라이브러리에 있습니다",
-            "downloadCompleted": "다운로드가 성공적으로 완료되었습니다"
+            "downloadCompleted": "다운로드가 성공적으로 완료되었습니다",
+            "autoOrganizeSuccess": "{count}개의 {type}에 대해 자동 정리가 성공적으로 완료되었습니다",
+            "autoOrganizePartialSuccess": "자동 정리 완료: 전체 {total}개 중 {success}개 이동, {failures}개 실패",
+            "autoOrganizeFailed": "자동 정리 실패: {error}",
+            "noModelsSelected": "선택된 모델이 없습니다"
         },
         "recipes": {
             "fetchFailed": "레시피 가져오기 실패: {message}",

locales/ru.json

@@ -324,8 +324,18 @@
             "copyAll": "Копировать весь синтаксис",
             "refreshAll": "Обновить все метаданные",
             "moveAll": "Переместить все в папку",
+            "autoOrganize": "Автоматически организовать выбранные",
             "deleteAll": "Удалить все модели",
-            "clear": "Очистить выбор"
+            "clear": "Очистить выбор",
+            "autoOrganizeProgress": {
+                "initializing": "Инициализация автоматической организации...",
+                "starting": "Запуск автоматической организации для {type}...",
+                "processing": "Обработка ({processed}/{total}) — {success} перемещено, {skipped} пропущено, {failures} не удалось",
+                "cleaning": "Очистка пустых директорий...",
+                "completed": "Завершено: {success} перемещено, {skipped} пропущено, {failures} не удалось",
+                "complete": "Автоматическая организация завершена",
+                "error": "Ошибка: {error}"
+            }
         },
         "contextMenu": {
             "refreshMetadata": "Обновить данные Civitai",
@@ -942,7 +952,11 @@
             "downloadPartialWithAccess": "Загружено {completed} из {total} LoRAs. {accessFailures} не удалось из-за ограничений доступа. Проверьте ваш API ключ в настройках или статус раннего доступа.",
             "pleaseSelectVersion": "Пожалуйста, выберите версию",
             "versionExists": "Эта версия уже существует в вашей библиотеке",
-            "downloadCompleted": "Загрузка успешно завершена"
+            "downloadCompleted": "Загрузка успешно завершена",
+            "autoOrganizeSuccess": "Автоматическая организация успешно завершена для {count} {type}",
+            "autoOrganizePartialSuccess": "Автоматическая организация завершена: перемещено {success}, не удалось {failures} из {total} моделей",
+            "autoOrganizeFailed": "Ошибка автоматической организации: {error}",
+            "noModelsSelected": "Модели не выбраны"
         },
         "recipes": {
             "fetchFailed": "Не удалось получить рецепты: {message}",

locales/zh-CN.json

@@ -324,8 +324,18 @@
             "copyAll": "复制全部语法",
             "refreshAll": "刷新全部元数据",
             "moveAll": "全部移动到文件夹",
+            "autoOrganize": "自动整理所选模型",
             "deleteAll": "删除所有模型",
-            "clear": "清除选择"
+            "clear": "清除选择",
+            "autoOrganizeProgress": {
+                "initializing": "正在初始化自动整理...",
+                "starting": "正在为 {type} 启动自动整理...",
+                "processing": "处理中（{processed}/{total}）- 已移动 {success} 个，跳过 {skipped} 个，失败 {failures} 个",
+                "cleaning": "正在清理空文件夹...",
+                "completed": "完成：已移动 {success} 个，跳过 {skipped} 个，失败 {failures} 个",
+                "complete": "自动整理已完成",
+                "error": "错误：{error}"
+            }
         },
         "contextMenu": {
             "refreshMetadata": "刷新 Civitai 数据",
@@ -942,7 +952,11 @@
             "downloadPartialWithAccess": "已下载 {completed}/{total} 个 LoRA。{accessFailures} 个因访问限制失败。请检查设置中的 API 密钥或早期访问状态。",
             "pleaseSelectVersion": "请选择版本",
             "versionExists": "该版本已存在于你的库中",
-            "downloadCompleted": "下载成功完成"
+            "downloadCompleted": "下载成功完成",
+            "autoOrganizeSuccess": "自动整理已成功完成，共 {count} 个 {type}",
+            "autoOrganizePartialSuccess": "自动整理完成：已移动 {success} 个，{failures} 个失败，共 {total} 个模型",
+            "autoOrganizeFailed": "自动整理失败：{error}",
+            "noModelsSelected": "未选中模型"
         },
         "recipes": {
             "fetchFailed": "获取配方失败：{message}",

locales/zh-TW.json

@@ -324,8 +324,18 @@
             "copyAll": "複製全部語法",
             "refreshAll": "刷新全部 metadata",
             "moveAll": "全部移動到資料夾",
+            "autoOrganize": "自動整理所選模型",
             "deleteAll": "刪除全部模型",
-            "clear": "清除選取"
+            "clear": "清除選取",
+            "autoOrganizeProgress": {
+                "initializing": "正在初始化自動整理...",
+                "starting": "正在開始自動整理 {type}...",
+                "processing": "處理中（{processed}/{total}）- 已移動 {success}，已略過 {skipped}，失敗 {failures}",
+                "cleaning": "正在清理空資料夾...",
+                "completed": "完成：已移動 {success}，已略過 {skipped}，失敗 {failures}",
+                "complete": "自動整理完成",
+                "error": "錯誤：{error}"
+            }
         },
         "contextMenu": {
             "refreshMetadata": "刷新 Civitai 資料",
@@ -942,7 +952,11 @@
             "downloadPartialWithAccess": "已下載 {completed} 個 LoRA，共 {total} 個。{accessFailures} 個因訪問限制而失敗。請檢查您的 API 密鑰或提前訪問狀態。",
             "pleaseSelectVersion": "請選擇一個版本",
             "versionExists": "此版本已存在於您的庫中",
-            "downloadCompleted": "下載成功完成"
+            "downloadCompleted": "下載成功完成",
+            "autoOrganizeSuccess": "自動整理已成功完成，共 {count} 個 {type} 已整理",
+            "autoOrganizePartialSuccess": "自動整理完成：已移動 {success} 個，{failures} 個失敗，共 {total} 個模型",
+            "autoOrganizeFailed": "自動整理失敗：{error}",
+            "noModelsSelected": "未選擇任何模型"
         },
         "recipes": {
             "fetchFailed": "取得配方失敗：{message}",

py/lora_manager.py

@@ -237,6 +237,7 @@ class LoraManager:
             # Run post-initialization tasks
             post_tasks = [
                 asyncio.create_task(cls._cleanup_backup_files(), name='cleanup_bak_files'),
+                asyncio.create_task(cls._cleanup_example_images_folders(), name='cleanup_example_images'),
                 # Add more post-initialization tasks here as needed
                 # asyncio.create_task(cls._another_post_task(), name='another_task'),
             ]
@@ -346,6 +347,123 @@ class LoraManager:
         
         return deleted_count, size_freed
     
+    @classmethod
+    async def _cleanup_example_images_folders(cls):
+        """Clean up invalid or empty folders in example images directory"""
+        try:
+            example_images_path = settings.get('example_images_path')
+            if not example_images_path or not os.path.exists(example_images_path):
+                logger.debug("Example images path not configured or doesn't exist, skipping cleanup")
+                return
+            
+            logger.debug(f"Starting cleanup of example images folders in: {example_images_path}")
+            
+            # Get all scanner instances to check hash validity
+            lora_scanner = await ServiceRegistry.get_lora_scanner()
+            checkpoint_scanner = await ServiceRegistry.get_checkpoint_scanner()
+            embedding_scanner = await ServiceRegistry.get_embedding_scanner()
+            
+            total_folders_checked = 0
+            empty_folders_removed = 0
+            invalid_hash_folders_removed = 0
+            
+            # Scan the example images directory
+            try:
+                with os.scandir(example_images_path) as it:
+                    for entry in it:
+                        if not entry.is_dir(follow_symlinks=False):
+                            continue
+                            
+                        folder_name = entry.name
+                        folder_path = entry.path
+                        total_folders_checked += 1
+                        
+                        try:
+                            # Check if folder is empty
+                            is_empty = cls._is_folder_empty(folder_path)
+                            if is_empty:
+                                logger.debug(f"Removing empty example images folder: {folder_name}")
+                                await cls._remove_folder_safely(folder_path)
+                                empty_folders_removed += 1
+                                continue
+                            
+                            # Check if folder name is a valid SHA256 hash (64 hex characters)
+                            if len(folder_name) != 64 or not all(c in '0123456789abcdefABCDEF' for c in folder_name):
+                                logger.debug(f"Removing invalid hash folder: {folder_name}")
+                                await cls._remove_folder_safely(folder_path)
+                                invalid_hash_folders_removed += 1
+                                continue
+                            
+                            # Check if hash exists in any of the scanners
+                            hash_exists = (
+                                lora_scanner.has_hash(folder_name) or 
+                                checkpoint_scanner.has_hash(folder_name) or 
+                                embedding_scanner.has_hash(folder_name)
+                            )
+                            
+                            if not hash_exists:
+                                logger.debug(f"Removing example images folder for deleted model: {folder_name}")
+                                await cls._remove_folder_safely(folder_path)
+                                invalid_hash_folders_removed += 1
+                                continue
+                                
+                            logger.debug(f"Keeping valid example images folder: {folder_name}")
+                            
+
+                        except Exception as e:
+                            logger.error(f"Error processing example images folder {folder_name}: {e}")
+                        
+                        # Yield control periodically
+                        await asyncio.sleep(0.01)
+                        
+            except Exception as e:
+                logger.error(f"Error scanning example images directory: {e}")
+                return
+            
+            # Log final cleanup report
+            total_removed = empty_folders_removed + invalid_hash_folders_removed
+            if total_removed > 0:
+                logger.info(f"Example images cleanup completed: checked {total_folders_checked} folders, "
+                           f"removed {empty_folders_removed} empty folders and {invalid_hash_folders_removed} "
+                           f"folders for deleted/invalid models (total: {total_removed} removed)")
+            else:
+                logger.info(f"Example images cleanup completed: checked {total_folders_checked} folders, "
+                           f"no cleanup needed")
+                
+        except Exception as e:
+            logger.error(f"Error during example images cleanup: {e}", exc_info=True)
+    
+    @classmethod
+    def _is_folder_empty(cls, folder_path: str) -> bool:
+        """Check if a folder is empty
+        
+        Args:
+            folder_path: Path to the folder to check
+            
+        Returns:
+            bool: True if folder is empty, False otherwise
+        """
+        try:
+            with os.scandir(folder_path) as it:
+                return not any(it)
+        except Exception as e:
+            logger.debug(f"Error checking if folder is empty {folder_path}: {e}")
+            return False
+    
+    @classmethod
+    async def _remove_folder_safely(cls, folder_path: str):
+        """Safely remove a folder and all its contents
+        
+        Args:
+            folder_path: Path to the folder to remove
+        """
+        try:
+            import shutil
+            loop = asyncio.get_event_loop()
+            await loop.run_in_executor(None, shutil.rmtree, folder_path)
+        except Exception as e:
+            logger.warning(f"Failed to remove folder {folder_path}: {e}")
+
     @classmethod
     async def _cleanup(cls, app):
         """Cleanup resources using ServiceRegistry"""

py/nodes/wanvideo_lora_select_from_text.py

@@ -0,0 +1,128 @@
+from comfy.comfy_types import IO
+import folder_paths
+from ..utils.utils import get_lora_info
+from .utils import any_type 
+import logging
+
+# 初始化日志记录器
+logger = logging.getLogger(__name__)
+
+# 定义新节点的类
+class WanVideoLoraSelectFromText:
+    # 节点在UI中显示的名称
+    NAME = "WanVideo Lora Select From Text (LoraManager)"
+    # 节点所属的分类
+    CATEGORY = "Lora Manager/stackers"
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "low_mem_load": ("BOOLEAN", {"default": False, "tooltip": "Load LORA models with less VRAM usage, slower loading. This affects ALL LoRAs, not just the current ones. No effect if merge_loras is False"}),
+                "merge_lora": ("BOOLEAN", {"default": True, "tooltip": "Merge LoRAs into the model, otherwise they are loaded on the fly. Always disabled for GGUF and scaled fp8 models. This affects ALL LoRAs, not just the current one"}),
+                "lora_syntax": (IO.STRING, {
+                    "multiline": True,
+                    "defaultInput": True,
+                    "forceInput": True,
+                    "tooltip": "Connect a TEXT output for LoRA syntax: <lora:name:strength>"
+                }),
+            },
+
+            "optional": {
+                "prev_lora": ("WANVIDLORA",), 
+                "blocks": ("BLOCKS",)        
+            }
+        }
+
+    RETURN_TYPES = ("WANVIDLORA", IO.STRING, IO.STRING)
+    RETURN_NAMES = ("lora", "trigger_words", "active_loras")
+
+    FUNCTION = "process_loras_from_syntax"
+    
+    def process_loras_from_syntax(self, lora_syntax, low_mem_load=False, merge_lora=True, **kwargs):
+        text_to_process = lora_syntax
+
+        blocks = kwargs.get('blocks', {})
+        selected_blocks = blocks.get("selected_blocks", {})
+        layer_filter = blocks.get("layer_filter", "")
+
+        loras_list = []
+        all_trigger_words = []
+        active_loras = []
+        
+        prev_lora = kwargs.get('prev_lora', None)
+        if prev_lora is not None:
+            loras_list.extend(prev_lora)
+
+        if not merge_lora:
+            low_mem_load = False
+
+        parts = text_to_process.split('<lora:')
+        for part in parts[1:]:
+            end_index = part.find('>')
+            if end_index == -1:
+                continue
+
+            content = part[:end_index]
+            lora_parts = content.split(':')
+            
+            lora_name_raw = ""
+            model_strength = 1.0
+            clip_strength = 1.0
+
+            if len(lora_parts) == 2:
+                lora_name_raw = lora_parts[0].strip()
+                try:
+                    model_strength = float(lora_parts[1])
+                    clip_strength = model_strength
+                except (ValueError, IndexError):
+                    logger.warning(f"Invalid strength for LoRA '{lora_name_raw}'. Skipping.")
+                    continue
+            elif len(lora_parts) >= 3:
+                lora_name_raw = lora_parts[0].strip()
+                try:
+                    model_strength = float(lora_parts[1])
+                    clip_strength = float(lora_parts[2])
+                except (ValueError, IndexError):
+                    logger.warning(f"Invalid strengths for LoRA '{lora_name_raw}'. Skipping.")
+                    continue
+            else:
+                continue
+
+            lora_path, trigger_words = get_lora_info(lora_name_raw)
+
+            lora_item = {
+                "path": folder_paths.get_full_path("loras", lora_path),
+                "strength": model_strength,
+                "name": lora_path.split(".")[0],
+                "blocks": selected_blocks,
+                "layer_filter": layer_filter,
+                "low_mem_load": low_mem_load,
+                "merge_loras": merge_lora,
+            }
+
+            loras_list.append(lora_item)
+            active_loras.append((lora_name_raw, model_strength, clip_strength))
+            all_trigger_words.extend(trigger_words)
+
+        trigger_words_text = ",, ".join(all_trigger_words) if all_trigger_words else ""
+        
+        formatted_loras = []
+        for name, model_strength, clip_strength in active_loras:
+            if abs(model_strength - clip_strength) > 0.001:
+                formatted_loras.append(f"<lora:{name}:{str(model_strength).strip()}:{str(clip_strength).strip()}>")
+            else:
+                formatted_loras.append(f"<lora:{name}:{str(model_strength).strip()}>")
+                
+        active_loras_text = " ".join(formatted_loras)
+
+        return (loras_list, trigger_words_text, active_loras_text)
+
+NODE_CLASS_MAPPINGS = {
+    "WanVideoLoraSelectFromText": WanVideoLoraSelectFromText
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "WanVideoLoraSelectFromText": "WanVideo Lora Select From Text (LoraManager)"
+}
+，

py/routes/base_model_routes.py

@@ -56,6 +56,7 @@ class BaseModelRoutes(ABC):
         app.router.add_post(f'/api/{prefix}/move_model', self.move_model)
         app.router.add_post(f'/api/{prefix}/move_models_bulk', self.move_models_bulk)
         app.router.add_get(f'/api/{prefix}/auto-organize', self.auto_organize_models)
+        app.router.add_post(f'/api/{prefix}/auto-organize', self.auto_organize_models)
         app.router.add_get(f'/api/{prefix}/auto-organize-progress', self.get_auto_organize_progress)
         
         # Common query routes
@@ -773,7 +774,7 @@ class BaseModelRoutes(ABC):
             return web.Response(text=str(e), status=500)
     
     async def auto_organize_models(self, request: web.Request) -> web.Response:
-        """Auto-organize all models based on current settings"""
+        """Auto-organize all models or a specific set of models based on current settings"""
         try:
             # Check if auto-organize is already running
             if ws_manager.is_auto_organize_running():
@@ -791,8 +792,17 @@ class BaseModelRoutes(ABC):
                     'error': 'Auto-organize is already running. Please wait for it to complete.'
                 }, status=409)
             
+            # Get specific file paths from request if this is a POST with selected models
+            file_paths = None
+            if request.method == 'POST':
+                try:
+                    data = await request.json()
+                    file_paths = data.get('file_paths')
+                except Exception:
+                    pass  # Continue with all models if no valid JSON
+            
             async with auto_organize_lock:
-                return await self._perform_auto_organize()
+                return await self._perform_auto_organize(file_paths)
                 
         except Exception as e:
             logger.error(f"Error in auto_organize_models: {e}", exc_info=True)
@@ -809,20 +819,33 @@ class BaseModelRoutes(ABC):
                 'error': str(e)
             }, status=500)
     
-    async def _perform_auto_organize(self) -> web.Response:
+    async def _perform_auto_organize(self, file_paths=None) -> web.Response:
-        """Perform the actual auto-organize operation"""
+        """Perform the actual auto-organize operation
+        
+        Args:
+            file_paths: Optional list of specific file paths to organize. 
+                       If None, organizes all models.
+        """
         try:
             # Get all models from cache
             cache = await self.service.scanner.get_cached_data()
             all_models = cache.raw_data
             
+            # Filter models if specific file paths are provided
+            if file_paths:
+                all_models = [model for model in all_models if model.get('file_path') in file_paths]
+                operation_type = 'bulk'
+            else:
+                operation_type = 'all'
+            
             # Get model roots for this scanner
             model_roots = self.service.get_model_roots()
             if not model_roots:
                 await ws_manager.broadcast_auto_organize_progress({
                     'type': 'auto_organize_progress',
                     'status': 'error',
-                    'error': 'No model roots configured'
+                    'error': 'No model roots configured',
+                    'operation_type': operation_type
                 })
                 return web.json_response({
                     'success': False,
@@ -849,7 +872,8 @@ class BaseModelRoutes(ABC):
                 'processed': 0,
                 'success': 0,
                 'failures': 0,
-                'skipped': 0
+                'skipped': 0,
+                'operation_type': operation_type
             })
             
             # Process models in batches
@@ -980,7 +1004,8 @@ class BaseModelRoutes(ABC):
                     'processed': processed,
                     'success': success_count,
                     'failures': failure_count,
-                    'skipped': skipped_count
+                    'skipped': skipped_count,
+                    'operation_type': operation_type
                 })
                 
                 # Small delay between batches to prevent overwhelming the system
@@ -995,7 +1020,8 @@ class BaseModelRoutes(ABC):
                 'success': success_count,
                 'failures': failure_count,
                 'skipped': skipped_count,
-                'message': 'Cleaning up empty directories...'
+                'message': 'Cleaning up empty directories...',
+                'operation_type': operation_type
             })
             
             # Clean up empty directories after organizing
@@ -1014,20 +1040,22 @@ class BaseModelRoutes(ABC):
                 'success': success_count,
                 'failures': failure_count,
                 'skipped': skipped_count,
-                'cleanup': cleanup_counts
+                'cleanup': cleanup_counts,
+                'operation_type': operation_type
             })
             
             # Prepare response with limited details
             response_data = {
                 'success': True,
-                'message': f'Auto-organize completed: {success_count} moved, {skipped_count} skipped, {failure_count} failed out of {total_models} total',
+                'message': f'Auto-organize {operation_type} completed: {success_count} moved, {skipped_count} skipped, {failure_count} failed out of {total_models} total',
                 'summary': {
                     'total': total_models,
                     'success': success_count,
                     'skipped': skipped_count,
                     'failures': failure_count,
                     'organization_type': 'flat' if is_flat_structure else 'structured',
-                    'cleaned_dirs': cleanup_counts
+                    'cleaned_dirs': cleanup_counts,
+                    'operation_type': operation_type
                 }
             }
             
@@ -1047,7 +1075,8 @@ class BaseModelRoutes(ABC):
             await ws_manager.broadcast_auto_organize_progress({
                 'type': 'auto_organize_progress',
                 'status': 'error',
-                'error': str(e)
+                'error': str(e),
+                'operation_type': operation_type if 'operation_type' in locals() else 'unknown'
             })
             
             raise e

py/utils/constants.py

@@ -54,7 +54,7 @@ AUTO_ORGANIZE_BATCH_SIZE = 50  # Process models in batches to avoid overwhelming
 # Civitai model tags in priority order for subfolder organization
 CIVITAI_MODEL_TAGS = [
     'character', 'style', 'concept', 'clothing', 
-    # 'base model', # exclude 'base model'
+    'realistic', 'anime', 'toon', 'furry',
     'poses', 'background', 'tool', 'vehicle', 'buildings', 
     'objects', 'assets', 'animal', 'action'
 ]

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-lora-manager"
 description = "Revolutionize your workflow with the ultimate LoRA companion for ComfyUI!"
-version = "0.9.1"
+version = "0.9.2"
 license = {file = "LICENSE"}
 dependencies = [
     "aiohttp",

static/js/api/apiConfig.js

@@ -94,6 +94,10 @@ export function getApiEndpoints(modelType) {
         metadata: `/api/${modelType}/metadata`,
         modelDescription: `/api/${modelType}/model-description`,
         
+        // Auto-organize operations
+        autoOrganize: `/api/${modelType}/auto-organize`,
+        autoOrganizeProgress: `/api/${modelType}/auto-organize-progress`,
+        
         // Model-specific endpoints (will be merged with specific configs)
         specific: {}
     };

static/js/api/baseModelApi.js

@@ -1030,4 +1030,129 @@ export class BaseModelApiClient {
             throw error;
         }
     }
+
+    /**
+     * Auto-organize models based on current path template settings
+     * @param {Array} filePaths - Optional array of file paths to organize. If not provided, organizes all models.
+     * @returns {Promise} - Promise that resolves when the operation is complete
+     */
+    async autoOrganizeModels(filePaths = null) {
+        let ws = null;
+        
+        await state.loadingManager.showWithProgress(async (loading) => {
+            try {
+                // Connect to WebSocket for progress updates
+                const wsProtocol = window.location.protocol === 'https:' ? 'wss://' : 'ws://';
+                ws = new WebSocket(`${wsProtocol}${window.location.host}${WS_ENDPOINTS.fetchProgress}`);
+                
+                const operationComplete = new Promise((resolve, reject) => {
+                    ws.onmessage = (event) => {
+                        const data = JSON.parse(event.data);
+                        
+                        if (data.type !== 'auto_organize_progress') return;
+                        
+                        switch(data.status) {
+                            case 'started':
+                                loading.setProgress(0);
+                                const operationType = data.operation_type === 'bulk' ? 'selected models' : 'all models';
+                                loading.setStatus(translate('loras.bulkOperations.autoOrganizeProgress.starting', { type: operationType }, `Starting auto-organize for ${operationType}...`));
+                                break;
+                                
+                            case 'processing':
+                                const percent = data.total > 0 ? ((data.processed / data.total) * 90).toFixed(1) : 0;
+                                loading.setProgress(percent);
+                                loading.setStatus(
+                                    translate('loras.bulkOperations.autoOrganizeProgress.processing', {
+                                        processed: data.processed,
+                                        total: data.total,
+                                        success: data.success,
+                                        failures: data.failures,
+                                        skipped: data.skipped
+                                    }, `Processing (${data.processed}/${data.total}) - ${data.success} moved, ${data.skipped} skipped, ${data.failures} failed`)
+                                );
+                                break;
+                                
+                            case 'cleaning':
+                                loading.setProgress(95);
+                                loading.setStatus(translate('loras.bulkOperations.autoOrganizeProgress.cleaning', {}, 'Cleaning up empty directories...'));
+                                break;
+                                
+                            case 'completed':
+                                loading.setProgress(100);
+                                loading.setStatus(
+                                    translate('loras.bulkOperations.autoOrganizeProgress.completed', {
+                                        success: data.success,
+                                        skipped: data.skipped,
+                                        failures: data.failures,
+                                        total: data.total
+                                    }, `Completed: ${data.success} moved, ${data.skipped} skipped, ${data.failures} failed`)
+                                );
+                                
+                                setTimeout(() => {
+                                    resolve(data);
+                                }, 1500);
+                                break;
+                                
+                            case 'error':
+                                loading.setStatus(translate('loras.bulkOperations.autoOrganizeProgress.error', { error: data.error }, `Error: ${data.error}`));
+                                reject(new Error(data.error));
+                                break;
+                        }
+                    };
+                    
+                    ws.onerror = (error) => {
+                        console.error('WebSocket error during auto-organize:', error);
+                        reject(new Error('Connection error'));
+                    };
+                });
+                
+                // Start the auto-organize operation
+                const endpoint = this.apiConfig.endpoints.autoOrganize;
+                const requestOptions = {
+                    method: filePaths ? 'POST' : 'GET',
+                    headers: filePaths ? { 'Content-Type': 'application/json' } : {}
+                };
+                
+                if (filePaths) {
+                    requestOptions.body = JSON.stringify({ file_paths: filePaths });
+                }
+                
+                const response = await fetch(endpoint, requestOptions);
+                
+                if (!response.ok) {
+                    const errorData = await response.json().catch(() => ({}));
+                    throw new Error(errorData.error || 'Failed to start auto-organize operation');
+                }
+                
+                // Wait for the operation to complete via WebSocket
+                const result = await operationComplete;
+                
+                // Show appropriate success message based on results
+                if (result.failures === 0) {
+                    showToast('toast.loras.autoOrganizeSuccess', { 
+                        count: result.success,
+                        type: result.operation_type === 'bulk' ? 'selected models' : 'all models'
+                    }, 'success');
+                } else {
+                    showToast('toast.loras.autoOrganizePartialSuccess', { 
+                        success: result.success,
+                        failures: result.failures,
+                        total: result.total
+                    }, 'warning');
+                }
+                
+            } catch (error) {
+                console.error('Error during auto-organize:', error);
+                showToast('toast.loras.autoOrganizeFailed', { error: error.message }, 'error');
+                throw error;
+            } finally {
+                if (ws && ws.readyState === WebSocket.OPEN) {
+                    ws.close();
+                }
+            }
+        }, {
+            initialMessage: translate('loras.bulkOperations.autoOrganizeProgress.initializing', {}, 'Initializing auto-organize...'),
+            completionMessage: translate('loras.bulkOperations.autoOrganizeProgress.complete', {}, 'Auto-organize complete')
+        });
+    }
 }

static/js/components/ContextMenu/BulkContextMenu.js

@@ -33,6 +33,7 @@ export class BulkContextMenu extends BaseContextMenu {
         const copyAllItem = this.menu.querySelector('[data-action="copy-all"]');
         const refreshAllItem = this.menu.querySelector('[data-action="refresh-all"]');
         const moveAllItem = this.menu.querySelector('[data-action="move-all"]');
+        const autoOrganizeItem = this.menu.querySelector('[data-action="auto-organize"]');
         const deleteAllItem = this.menu.querySelector('[data-action="delete-all"]');
 
         if (sendToWorkflowAppendItem) {
@@ -50,6 +51,9 @@ export class BulkContextMenu extends BaseContextMenu {
         if (moveAllItem) {
             moveAllItem.style.display = config.moveAll ? 'flex' : 'none';
         }
+        if (autoOrganizeItem) {
+            autoOrganizeItem.style.display = config.autoOrganize ? 'flex' : 'none';
+        }
         if (deleteAllItem) {
             deleteAllItem.style.display = config.deleteAll ? 'flex' : 'none';
         }
@@ -97,6 +101,9 @@ export class BulkContextMenu extends BaseContextMenu {
             case 'move-all':
                 window.moveManager.showMoveModal('bulk');
                 break;
+            case 'auto-organize':
+                bulkManager.autoOrganizeSelectedModels();
+                break;
             case 'delete-all':
                 bulkManager.showBulkDeleteModal();
                 break;

static/js/components/controls/CheckpointsControls.js

@@ -43,6 +43,14 @@ export class CheckpointsControls extends PageControls {
             showDownloadModal: () => {
                 downloadManager.showDownloadModal();
             },
+
+            toggleBulkMode: () => {
+                if (window.bulkManager) {
+                    window.bulkManager.toggleBulkMode();
+                } else {
+                    console.error('Bulk manager not available');
+                }
+            },
             
             // No clearCustomFilter implementation is needed for checkpoints
             // as custom filters are currently only used for LoRAs

static/js/components/controls/EmbeddingsControls.js

@@ -43,6 +43,14 @@ export class EmbeddingsControls extends PageControls {
             showDownloadModal: () => {
                 downloadManager.showDownloadModal();
             },
+
+            toggleBulkMode: () => {
+                if (window.bulkManager) {
+                    window.bulkManager.toggleBulkMode();
+                } else {
+                    console.error('Bulk manager not available');
+                }
+            },
             
             // No clearCustomFilter implementation is needed for embeddings
             // as custom filters are currently only used for LoRAs

static/js/components/controls/PageControls.js

@@ -185,12 +185,9 @@ export class PageControls {
             duplicatesButton.addEventListener('click', () => this.findDuplicates());
         }
         
-        if (this.pageType === 'loras') {
+        const bulkButton = document.querySelector('[data-action="bulk"]');
-            // Bulk operations button - LoRAs only
+        if (bulkButton) {
-            const bulkButton = document.querySelector('[data-action="bulk"]');
+            bulkButton.addEventListener('click', () => this.toggleBulkMode());
-            if (bulkButton) {
-                bulkButton.addEventListener('click', () => this.toggleBulkMode());
-            }
         }
         
         // Favorites filter button handler
@@ -349,14 +346,9 @@ export class PageControls {
     }
     
     /**
-     * Toggle bulk mode (LoRAs only)
+     * Toggle bulk mode
      */
     toggleBulkMode() {
-        if (this.pageType !== 'loras' || !this.api) {
-            console.error('Bulk mode is only available for LoRAs');
-            return;
-        }
-        
         this.api.toggleBulkMode();
     }
     

static/js/core.js

@@ -54,13 +54,15 @@ export class AppCore {
         window.headerManager = new HeaderManager();
         initTheme();
         initBackToTop();
-
-        // Initialize the bulk manager
-        bulkManager.initialize();
         
-        // Initialize bulk context menu
+        // Initialize the bulk manager and context menu only if not on recipes page
-        const bulkContextMenu = new BulkContextMenu();
+        if (state.currentPageType !== 'recipes') {
-        bulkManager.setBulkContextMenu(bulkContextMenu);
+            bulkManager.initialize();
+
+            // Initialize bulk context menu
+            const bulkContextMenu = new BulkContextMenu();
+            bulkManager.setBulkContextMenu(bulkContextMenu);
+        }
         
         // Initialize the example images manager
         exampleImagesManager.initialize();

static/js/managers/BulkManager.js

@@ -2,7 +2,7 @@ import { state, getCurrentPageState } from '../state/index.js';
 import { showToast, copyToClipboard, sendLoraToWorkflow } from '../utils/uiHelpers.js';
 import { updateCardsForBulkMode } from '../components/shared/ModelCard.js';
 import { modalManager } from './ModalManager.js';
-import { getModelApiClient } from '../api/modelApiFactory.js';
+import { getModelApiClient, resetAndReload } from '../api/modelApiFactory.js';
 import { MODEL_TYPES, MODEL_CONFIG } from '../api/apiConfig.js';
 import { PRESET_TAGS, BASE_MODEL_CATEGORIES } from '../utils/constants.js';
 import { eventManager } from '../utils/EventManager.js';
@@ -34,6 +34,7 @@ export class BulkManager {
                 copyAll: true,
                 refreshAll: true,
                 moveAll: true,
+                autoOrganize: true,
                 deleteAll: true
             },
             [MODEL_TYPES.EMBEDDING]: {
@@ -42,6 +43,7 @@ export class BulkManager {
                 copyAll: false,
                 refreshAll: true,
                 moveAll: true,
+                autoOrganize: true,
                 deleteAll: true
             },
             [MODEL_TYPES.CHECKPOINT]: {
@@ -50,12 +52,16 @@ export class BulkManager {
                 copyAll: false,
                 refreshAll: true,
                 moveAll: false,
+                autoOrganize: true,
                 deleteAll: true
             }
         };
     }
 
     initialize() {
+        // Do not initialize on recipes page
+        if (state.currentPageType === 'recipes') return;
+        
         // Register with event manager for coordinated event handling
         this.registerEventHandlers();
         
@@ -962,6 +968,35 @@ export class BulkManager {
         }
     }
 
+    /**
+     * Auto-organize selected models based on current path template settings
+     */
+    async autoOrganizeSelectedModels() {
+        if (state.selectedModels.size === 0) {
+            showToast('toast.loras.noModelsSelected', {}, 'error');
+            return;
+        }
+
+        try {
+            // Get selected file paths
+            const filePaths = Array.from(state.selectedModels);
+            
+            // Get the API client for the current model type
+            const apiClient = getModelApiClient();
+            
+            // Call the auto-organize method with selected file paths
+            await apiClient.autoOrganizeModels(filePaths);
+            
+            setTimeout(() => {
+                resetAndReload(true);
+            }, 1000);
+            
+        } catch (error) {
+            console.error('Error during bulk auto-organize:', error);
+            showToast('toast.loras.autoOrganizeFailed', { error: error.message }, 'error');
+        }
+    }
+
     /**
      * Handle marquee start through event manager
      */

static/js/test/i18nTest.js

@@ -1,156 +0,0 @@
-/**
- * i18n System Test
- * Simple test to verify internationalization functionality
- */
-
-import { i18n } from '../i18n/index.js';
-import { initializePageI18n, t, formatFileSize, formatDate, formatNumber } from '../utils/i18nHelpers.js';
-import { findUnusedTranslationKeys, findMissingTranslationKeys, extractLeafKeys } from '../i18n/validator.js';
-
-// Mock DOM elements for testing
-function createMockDOM() {
-    // Create a test container
-    const container = document.createElement('div');
-    container.innerHTML = `
-        <div data-i18n="header.appTitle">LoRA Manager</div>
-        <input data-i18n="header.search.placeholder" data-i18n-target="placeholder" placeholder="Search..." />
-        <button data-i18n="common.actions.save">Save</button>
-        <span data-i18n="loras.bulkOperations.selected" data-i18n-params='{"count": 5}'>5 selected</span>
-    `;
-    document.body.appendChild(container);
-    return container;
-}
-
-// Test basic translation functionality
-function testBasicTranslation() {
-    console.log('=== Testing Basic Translation ===');
-    
-    // Test simple translation
-    const saveText = t('common.actions.save');
-    console.log(`Save button text: ${saveText}`);
-    
-    // Test translation with parameters
-    const selectedText = t('loras.bulkOperations.selected', { count: 3 });
-    console.log(`Selection text: ${selectedText}`);
-    
-    // Test non-existent key (should return the key itself)
-    const missingKey = t('non.existent.key');
-    console.log(`Missing key: ${missingKey}`);
-}
-
-// Test DOM translation
-function testDOMTranslation() {
-    console.log('=== Testing DOM Translation ===');
-    
-    const container = createMockDOM();
-    
-    // Apply translations
-    initializePageI18n();
-    
-    // Check if translations were applied
-    const titleElement = container.querySelector('[data-i18n="header.appTitle"]');
-    const inputElement = container.querySelector('input[data-i18n="header.search.placeholder"]');
-    const buttonElement = container.querySelector('[data-i18n="common.actions.save"]');
-    
-    console.log(`Title: ${titleElement.textContent}`);
-    console.log(`Input placeholder: ${inputElement.placeholder}`);
-    console.log(`Button: ${buttonElement.textContent}`);
-    
-    // Clean up
-    document.body.removeChild(container);
-}
-
-// Test formatting functions
-function testFormatting() {
-    console.log('=== Testing Formatting Functions ===');
-    
-    // Test file size formatting
-    const sizes = [0, 1024, 1048576, 1073741824];
-    sizes.forEach(size => {
-        const formatted = formatFileSize(size);
-        console.log(`${size} bytes = ${formatted}`);
-    });
-    
-    // Test date formatting
-    const date = new Date('2024-01-15T10:30:00');
-    const formattedDate = formatDate(date, { 
-        year: 'numeric', 
-        month: 'long', 
-        day: 'numeric' 
-    });
-    console.log(`Date: ${formattedDate}`);
-    
-    // Test number formatting
-    const number = 1234.567;
-    const formattedNumber = formatNumber(number, { 
-        minimumFractionDigits: 2,
-        maximumFractionDigits: 2
-    });
-    console.log(`Number: ${formattedNumber}`);
-}
-
-// Test language detection
-function testLanguageDetection() {
-    console.log('=== Testing Language Detection ===');
-    console.log(`Detected language: ${i18n.getCurrentLocale()}`);
-    console.log(`Is RTL: ${i18n.isRTL()}`);
-    console.log(`Browser language: ${navigator.language}`);
-}
-
-// Test unused translations detection
-function testUnusedTranslationsDetection() {
-    console.log('=== Testing Unused Translations Detection ===');
-    
-    // Mock used keys
-    const mockUsedKeys = [
-        'common.actions.save',
-        'common.actions.cancel',
-        'header.appTitle'
-    ];
-    
-    // Get all translations
-    const allTranslations = i18n.getTranslations();
-    
-    // Find unused keys (only considering leaf nodes)
-    const unusedKeys = findUnusedTranslationKeys(allTranslations, mockUsedKeys);
-    
-    console.log(`Found ${unusedKeys.length} unused translation keys`);
-    console.log('First 5 unused keys:', unusedKeys.slice(0, 5));
-    
-    // Find missing keys
-    const missingKeys = findMissingTranslationKeys(allTranslations, [
-        ...mockUsedKeys,
-        'non.existent.key'
-    ]);
-    
-    console.log(`Found ${missingKeys.length} missing translation keys:`, missingKeys);
-}
-
-// Run all tests
-function runTests() {
-    console.log('Starting i18n System Tests...');
-    console.log('=====================================');
-    
-    testLanguageDetection();
-    testBasicTranslation();
-    testFormatting();
-    
-    // Only test DOM if we're in a browser environment
-    if (typeof document !== 'undefined') {
-        testDOMTranslation();
-    }
-    
-    // Test unused translations detection
-    testUnusedTranslationsDetection();
-    
-    console.log('=====================================');
-    console.log('i18n System Tests Completed!');
-}
-
-// Export for manual testing
-export { runTests };
-
-// Auto-run tests if this module is loaded directly
-if (typeof window !== 'undefined' && window.location.search.includes('test=i18n')) {
-    document.addEventListener('DOMContentLoaded', runTests);
-}

static/js/utils/constants.js

@@ -189,7 +189,8 @@ export const BASE_MODEL_CATEGORIES = {
 
 // Preset tag suggestions
 export const PRESET_TAGS = [
-    'character', 'style', 'concept', 'clothing', 
+    'character', 'style', 'concept', 'clothing',
-    'poses', 'background', 'vehicle', 'buildings', 
+    'realistic', 'anime', 'toon', 'furry',
+    'poses', 'background', 'vehicle', 'buildings',
     'objects', 'animal'
 ];

templates/components/context_menu.html

@@ -71,6 +71,9 @@
     <div class="context-menu-item" data-action="move-all">
         <i class="fas fa-folder-open"></i> <span>{{ t('loras.bulkOperations.moveAll') }}</span>
     </div>
+    <div class="context-menu-item" data-action="auto-organize">
+        <i class="fas fa-magic"></i> <span>{{ t('loras.bulkOperations.autoOrganize') }}</span>
+    </div>
     <div class="context-menu-separator"></div>
     <div class="context-menu-item delete-item" data-action="delete-all">
         <i class="fas fa-trash"></i> <span>{{ t('loras.bulkOperations.deleteAll') }}</span>