feat: lazy hash calculation for checkpoints

Checkpoints are typically large (10GB+). This change delays SHA256
hash calculation until metadata fetch from Civitai is requested,
significantly improving initial scan performance.

- Add hash_status field to BaseModelMetadata
- CheckpointScanner skips hash during initial scan
- On-demand hash calculation during Civitai fetch
- Background bulk hash calculation support

docs/features/recipe-batch-import-requirements.md

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+# Recipe Batch Import Feature Requirements
+
+## Overview
+Enable users to import multiple images as recipes in a single operation, rather than processing them individually. This feature addresses the need for efficient bulk recipe creation from existing image collections.
+
+## User Stories
+
+### US-1: Directory Batch Import
+As a user with a folder of reference images or workflow screenshots, I want to import all images from a directory at once so that I don't have to import them one by one.
+
+**Acceptance Criteria:**
+- User can specify a local directory path containing images
+- System discovers all supported image files in the directory
+- Each image is analyzed for metadata and converted to a recipe
+- Results show which images succeeded, failed, or were skipped
+
+### US-2: URL Batch Import
+As a user with a list of image URLs (e.g., from Civitai or other sources), I want to import multiple images by URL in one operation.
+
+**Acceptance Criteria:**
+- User can provide multiple image URLs (one per line or as a list)
+- System downloads and processes each image
+- URL-specific metadata (like Civitai info) is preserved when available
+- Failed URLs are reported with clear error messages
+
+### US-3: Concurrent Processing Control
+As a user with varying system resources, I want to control how many images are processed simultaneously to balance speed and system load.
+
+**Acceptance Criteria:**
+- User can configure the number of concurrent operations (1-10)
+- System provides sensible defaults based on common hardware configurations
+- Processing respects the concurrency limit to prevent resource exhaustion
+
+### US-4: Import Results Summary
+As a user performing a batch import, I want to see a clear summary of the operation results so I understand what succeeded and what needs attention.
+
+**Acceptance Criteria:**
+- Total count of images processed is displayed
+- Number of successfully imported recipes is shown
+- Number of failed imports with error details is provided
+- Number of skipped images (no metadata) is indicated
+- Results can be exported or saved for reference
+
+### US-5: Progress Visibility
+As a user importing a large batch, I want to see the progress of the operation so I know it's working and can estimate completion time.
+
+**Acceptance Criteria:**
+- Progress indicator shows current status (e.g., "Processing image 5 of 50")
+- Real-time updates as each image completes
+- Ability to view partial results before completion
+- Clear indication when the operation is finished
+
+## Functional Requirements
+
+### FR-1: Image Discovery
+The system shall discover image files in a specified directory recursively or non-recursively based on user preference.
+
+**Supported formats:** JPG, JPEG, PNG, WebP, GIF, BMP
+
+### FR-2: Metadata Extraction
+For each image, the system shall:
+- Extract EXIF metadata if present
+- Parse embedded workflow data (ComfyUI PNG metadata)
+- Fetch external metadata for known URL patterns (e.g., Civitai)
+- Generate recipes from extracted information
+
+### FR-3: Concurrent Processing
+The system shall support concurrent processing of multiple images with:
+- Configurable concurrency limit (default: 3)
+- Resource-aware execution
+- Graceful handling of individual failures without stopping the batch
+
+### FR-4: Error Handling
+The system shall handle various error conditions:
+- Invalid directory paths
+- Inaccessible files
+- Network errors for URL imports
+- Images without extractable metadata
+- Malformed or corrupted image files
+
+### FR-5: Recipe Persistence
+Successfully analyzed images shall be persisted as recipes with:
+- Extracted generation parameters
+- Preview image association
+- Tags and metadata
+- Source information (file path or URL)
+
+## Non-Functional Requirements
+
+### NFR-1: Performance
+- Batch operations should complete in reasonable time (< 5 seconds per image on average)
+- UI should remain responsive during batch operations
+- Memory usage should scale gracefully with batch size
+
+### NFR-2: Scalability
+- Support batches of 1-1000 images
+- Handle mixed success/failure scenarios gracefully
+- No hard limits on concurrent operations (configurable)
+
+### NFR-3: Usability
+- Clear error messages for common failure cases
+- Intuitive UI for configuring import options
+- Accessible from the main Recipes interface
+
+### NFR-4: Reliability
+- Failed individual imports should not crash the entire batch
+- Partial results should be preserved on unexpected termination
+- All operations should be idempotent (re-importing same image doesn't create duplicates)
+
+## API Requirements
+
+### Batch Import Endpoints
+The system should expose endpoints for:
+
+1. **Directory Import**
+   - Accept directory path and configuration options
+   - Return operation ID for status tracking
+   - Async or sync operation support
+
+2. **URL Import**
+   - Accept list of URLs and configuration options
+   - Support URL validation before processing
+   - Return operation ID for status tracking
+
+3. **Status/Progress**
+   - Query operation status by ID
+   - Get current progress and partial results
+   - Retrieve final results after completion
+
+## UI/UX Requirements
+
+### UIR-1: Entry Point
+Batch import should be accessible from the Recipes page via a clearly labeled button in the toolbar.
+
+### UIR-2: Import Modal
+A modal dialog should provide:
+- Tab or section for Directory import
+- Tab or section for URL import
+- Configuration options (concurrency, options)
+- Start/Stop controls
+- Results display area
+
+### UIR-3: Results Display
+Results should be presented with:
+- Summary statistics (total, success, failed, skipped)
+- Expandable details for each category
+- Export or copy functionality for results
+- Clear visual distinction between success/failure/skip
+
+## Future Considerations
+
+- **Scheduled Imports**: Ability to schedule batch imports for later execution
+- **Import Templates**: Save import configurations for reuse
+- **Cloud Storage**: Import from cloud storage services (Google Drive, Dropbox)
+- **Duplicate Detection**: Advanced duplicate detection based on image hash
+- **Tag Suggestions**: AI-powered tag suggestions for imported recipes
+- **Batch Editing**: Apply tags or organization to multiple imported recipes at once
+
+## Dependencies
+
+- Recipe analysis service (metadata extraction)
+- Recipe persistence service (storage)
+- Image download capability (for URL imports)
+- Recipe scanner (for refresh after import)
+- Civitai client (for enhanced URL metadata)
+
+---
+
+*Document Version: 1.0*
+*Status: Requirements Definition*

docs/ui-ux-optimization/progress-tracker.md

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+# Settings Modal Optimization Progress Tracker
+
+## Project Overview
+**Goal**: Optimize Settings Modal UI/UX with left navigation sidebar
+**Started**: 2026-02-23
+**Current Phase**: P2 - Search Bar (Completed)
+
+---
+
+## Phase 0: Left Navigation Sidebar (P0)
+
+### Status: Completed ✓
+
+### Completion Notes
+- All CSS changes implemented
+- HTML structure restructured successfully  
+- JavaScript navigation functionality added
+- Translation keys added and synchronized
+- Ready for testing and review
+
+### Tasks
+
+#### 1. CSS Changes
+- [x] Add two-column layout styles
+  - [x] `.settings-modal` flex layout
+  - [x] `.settings-nav` sidebar styles
+  - [x] `.settings-content` content area styles
+  - [x] `.settings-nav-item` navigation item styles
+  - [x] `.settings-nav-item.active` active state styles
+- [x] Adjust modal width to 950px
+- [x] Add smooth scroll behavior
+- [x] Add responsive styles for mobile
+- [x] Ensure dark theme compatibility
+
+#### 2. HTML Changes
+- [x] Restructure modal HTML
+  - [x] Wrap content in two-column container
+  - [x] Add navigation sidebar structure
+  - [x] Add navigation items for each section
+  - [x] Add ID anchors to each section
+- [x] Update section grouping if needed
+
+#### 3. JavaScript Changes
+- [x] Add navigation click handlers
+- [x] Implement smooth scroll to section
+- [x] Add scroll spy for active nav highlighting
+- [x] Handle nav item click events
+- [x] Update SettingsManager initialization
+
+#### 4. Translation Keys
+- [x] Add translation keys for navigation groups
+  - [x] `settings.nav.general`
+  - [x] `settings.nav.interface`
+  - [x] `settings.nav.download`
+  - [x] `settings.nav.advanced`
+
+#### 4. Testing
+- [x] Verify navigation clicks work
+- [x] Verify active highlighting works
+- [x] Verify smooth scrolling works
+- [ ] Test on mobile viewport (deferred to final QA)
+- [ ] Test dark/light theme (deferred to final QA)
+- [x] Verify all existing settings work
+- [x] Verify save/load functionality
+
+### Blockers
+None currently
+
+### Notes
+- Started implementation on 2026-02-23
+- Following existing design system and CSS variables
+
+---
+
+## Phase 1: Section Collapse/Expand (P1)
+
+### Status: Completed ✓
+
+### Completion Notes
+- All sections now have collapse/expand functionality
+- Chevron icon rotates smoothly on toggle
+- State persistence via localStorage working correctly
+- CSS animations for smooth height transitions
+- Settings order reorganized to match sidebar navigation
+
+### Tasks
+- [x] Add collapse/expand toggle to section headers
+- [x] Add chevron icon with rotation animation
+- [x] Implement localStorage for state persistence
+- [x] Add CSS animations for smooth transitions
+- [x] Reorder settings sections to match sidebar navigation
+
+---
+
+## Phase 2: Search Bar (P1)
+
+### Status: Completed ✓
+
+### Completion Notes
+- Search input added to settings modal header with icon and clear button
+- Real-time filtering with debounced input (150ms delay)
+- Highlight matching terms with accent color background
+- Handle empty search results with user-friendly message
+- Keyboard shortcuts: Escape to clear search
+- Sections with matches are automatically expanded
+- All translation keys added and synchronized across languages
+
+### Tasks
+- [x] Add search input to header area
+- [x] Implement real-time filtering
+- [x] Add highlight for matched terms
+- [x] Handle empty search results
+
+---
+
+## Phase 3: Visual Hierarchy (P2)
+
+### Status: Planned
+
+### Tasks
+- [ ] Add accent border to section headers
+- [ ] Bold setting labels
+- [ ] Increase section spacing
+
+---
+
+## Phase 4: Quick Actions (P3)
+
+### Status: Planned
+
+### Tasks
+- [ ] Add reset to defaults button
+- [ ] Add export config button
+- [ ] Add import config button
+- [ ] Implement corresponding functionality
+
+---
+
+## Change Log
+
+### 2026-02-23 (P2)
+- Completed Phase 2: Search Bar
+- Added search input to settings modal header with search icon and clear button
+- Implemented real-time filtering with 150ms debounce for performance
+- Added visual highlighting for matched search terms using accent color
+- Implemented empty search results state with user-friendly message
+- Added keyboard shortcuts (Escape to clear search)
+- Sections with matching content are automatically expanded during search
+- Updated SettingsManager.js with search initialization and filtering logic
+- Added comprehensive CSS styles for search input, highlights, and responsive design
+- Added translation keys for search feature (placeholder, clear, no results)
+- Synchronized translations across all language files
+
+### 2026-02-23 (P1)
+- Completed Phase 1: Section Collapse/Expand
+- Added collapse/expand functionality to all settings sections
+- Implemented chevron icon with smooth rotation animation
+- Added localStorage persistence for collapse state
+- Reorganized settings sections to match sidebar navigation order
+- Updated SettingsManager.js with section collapse initialization
+- Added CSS styles for smooth transitions and animations
+
+### 2026-02-23 (P0)
+- Created project documentation
+- Started Phase 0 implementation
+- Analyzed existing code structure
+- Implemented two-column layout with left navigation sidebar
+- Added CSS styles for navigation and responsive design
+- Restructured HTML to support new layout
+- Added JavaScript navigation functionality with scroll spy
+- Added translation keys for navigation groups
+- Synchronized translations across all language files
+- Tested in browser - navigation working correctly
+
+---
+
+## Testing Checklist
+
+### Functional Testing
+- [ ] All settings save correctly
+- [ ] All settings load correctly
+- [ ] Navigation scrolls to correct section
+- [ ] Active nav updates on scroll
+- [ ] Mobile responsive layout
+
+### Visual Testing
+- [ ] Design matches existing UI
+- [ ] Dark theme looks correct
+- [ ] Light theme looks correct
+- [ ] Animations are smooth
+- [ ] No layout shifts or jumps
+
+### Cross-browser Testing
+- [ ] Chrome/Chromium
+- [ ] Firefox
+- [ ] Safari (if available)

docs/ui-ux-optimization/settings-modal-optimization-proposal.md

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+# Settings Modal UI/UX Optimization
+
+## Overview
+当前Settings Modal采用单列表长页面设计，随着设置项不断增加，已难以高效浏览和定位。本方案采用 **macOS Settings 模式**（左侧导航 + 右侧单Section独占显示），在保持原有设计语言的前提下，重构信息架构，大幅提升用户体验。
+
+## Goals
+1. **提升浏览效率**：用户能够快速定位和修改设置
+2. **保持设计一致性**：延续现有的颜色、间距、动画系统
+3. **简化交互模型**：移除冗余元素（SETTINGS label、折叠功能）
+4. **清晰的视觉层次**：Section级导航，右侧独占显示
+5. **向后兼容**：不影响现有功能逻辑
+
+## Design Principles
+- **macOS Settings模式**：点击左侧导航，右侧仅显示该Section内容
+- **贴近原有设计语言**：使用现有CSS变量和样式模式
+- **最小化风格改动**：在提升UX的同时保持视觉风格稳定
+- **简化优于复杂**：移除不必要的折叠/展开交互
+
+---
+
+## New Design Architecture
+
+### Layout Structure
+```
+┌─────────────────────────────────────────────────────────────┐
+│  Settings                                    [×]            │
+├──────────────┬──────────────────────────────────────────────┤
+│  NAVIGATION  │  CONTENT                                     │
+│              │                                              │
+│  General   → │  ┌─────────────────────────────────────────┐ │
+│  Interface   │  │ General                                 │ │
+│  Download    │  │ ═══════════════════════════════════════ │ │
+│  Advanced    │  │                                           │ │
+│              │  │ ┌─────────────────────────────────────┐   │ │
+│              │  │ │ Civitai API Key                     │   │ │
+│              │  │ │ [                         ] [?]     │   │ │
+│              │  │ └─────────────────────────────────────┘   │ │
+│              │  │                                           │ │
+│              │  │ ┌─────────────────────────────────────┐   │ │
+│              │  │ │ Settings Location                   │   │ │
+│              │  │ │ [/path/to/settings]     [Browse]    │   │ │
+│              │  │ └─────────────────────────────────────┘   │ │
+│              │  └─────────────────────────────────────────┘ │
+│              │                                              │
+│              │  [Cancel]                    [Save Changes]  │
+└──────────────┴──────────────────────────────────────────────┘
+```
+
+### Key Design Decisions
+
+#### 1. 移除冗余元素
+- ❌ 删除 sidebar 中的 "SETTINGS" label
+- ❌ **取消折叠/展开功能**（增加交互成本，无实际收益）
+- ❌ 不再在左侧导航显示具体设置项（减少认知负荷）
+
+#### 2. 导航简化
+- 左侧仅显示 **4个Section**（General / Interface / Download / Advanced）
+- 当前选中项用 accent 色 background highlight
+- 无需滚动监听，点击即切换
+
+#### 3. 右侧单Section独占
+- 点击左侧导航，右侧仅显示该Section的所有设置项
+- Section标题作为页面标题（大号字体 + accent色下划线）
+- 所有设置项平铺展示，无需折叠
+
+#### 4. 视觉层次
+```
+Section Header (20px, bold, accent underline)
+├── Setting Group (card container, subtle border)
+│   ├── Setting Label (14px, semibold)
+│   ├── Setting Description (12px, muted color)
+│   └── Setting Control (input/select/toggle)
+```
+
+---
+
+## Optimization Phases
+
+### Phase 0: macOS Settings模式重构 (P0)
+**Status**: Ready for Development
+**Priority**: High
+
+#### Goals
+- 重构为两栏布局（左侧导航 + 右侧内容）
+- 实现Section级导航切换
+- 优化视觉层次和间距
+- 移除冗余元素
+
+#### Implementation Details
+
+##### Layout Specifications
+| Element | Specification |
+|---------|--------------|
+| Modal Width | 800px (比原700px稍宽) |
+| Modal Height | 600px (固定高度) |
+| Left Sidebar | 200px 固定宽度 |
+| Right Content | flex: 1，自动填充 |
+| Content Padding | --space-3 (24px) |
+
+##### Navigation Structure
+```
+General (通用)
+├── Language
+├── Civitai API Key
+└── Settings Location
+
+Interface (界面)
+├── Layout Settings
+├── Video Settings
+└── Content Filtering
+
+Download (下载)
+├── Folder Settings
+├── Download Path Templates
+├── Example Images
+└── Update Flags
+
+Advanced (高级)
+├── Priority Tags
+├── Auto-organize exclusions
+├── Metadata refresh skip paths
+├── Metadata Archive Database
+├── Proxy Settings
+└── Misc
+```
+
+##### CSS Style Guide
+
+**Section Header**
+```css
+.settings-section-header {
+  font-size: 20px;
+  font-weight: 600;
+  padding-bottom: var(--space-2);
+  border-bottom: 2px solid var(--lora-accent);
+  margin-bottom: var(--space-3);
+}
+```
+
+**Setting Group (Card)**
+```css
+.settings-group {
+  background: var(--card-bg);
+  border: 1px solid var(--lora-border);
+  border-radius: var(--border-radius-sm);
+  padding: var(--space-3);
+  margin-bottom: var(--space-3);
+}
+```
+
+**Setting Item**
+```css
+.setting-item {
+  margin-bottom: var(--space-3);
+}
+
+.setting-item:last-child {
+  margin-bottom: 0;
+}
+
+.setting-label {
+  font-size: 14px;
+  font-weight: 500;
+  margin-bottom: var(--space-1);
+}
+
+.setting-description {
+  font-size: 12px;
+  color: var(--text-muted);
+  margin-bottom: var(--space-2);
+}
+```
+
+**Sidebar Navigation**
+```css
+.settings-nav-item {
+  padding: var(--space-2) var(--space-3);
+  border-radius: var(--border-radius-xs);
+  cursor: pointer;
+  transition: background 0.2s ease;
+}
+
+.settings-nav-item:hover {
+  background: rgba(255, 255, 255, 0.05);
+}
+
+.settings-nav-item.active {
+  background: var(--lora-accent);
+  color: white;
+}
+```
+
+#### Files to Modify
+
+1. **static/css/components/modal/settings-modal.css**
+   - [ ] 新增两栏布局样式
+   - [ ] 新增侧边栏导航样式
+   - [ ] 新增Section标题样式
+   - [ ] 调整设置项卡片样式
+   - [ ] 移除折叠相关的CSS
+
+2. **templates/components/modals/settings_modal.html**
+   - [ ] 重构为两栏HTML结构
+   - [ ] 添加4个导航项
+   - [ ] 将Section改为独立内容区域
+   - [ ] 移除折叠按钮HTML
+
+3. **static/js/managers/SettingsManager.js**
+   - [ ] 添加导航点击切换逻辑
+   - [ ] 添加Section显示/隐藏控制
+   - [ ] 移除折叠/展开相关代码
+   - [ ] 默认显示第一个Section
+
+---
+
+### Phase 1: 搜索功能 (P1)
+**Status**: Planned
+**Priority**: Medium
+
+#### Goals
+- 快速定位特定设置项
+- 支持关键词搜索设置标签和描述
+
+#### Implementation
+- 搜索框保持在顶部右侧
+- 实时过滤：显示匹配的Section和设置项
+- 高亮匹配的关键词
+- 无结果时显示友好提示
+
+---
+
+### Phase 2: 操作按钮优化 (P2)
+**Status**: Planned
+**Priority**: Low
+
+#### Goals
+- 增强功能完整性
+- 提供批量操作能力
+
+#### Implementation
+- 底部固定操作栏（position: sticky）
+- [Cancel] 和 [Save Changes] 按钮
+- 可选：重置为默认、导出配置、导入配置
+
+---
+
+## Migration Notes
+
+### Removed Features
+| Feature | Reason |
+|---------|--------|
+| Section折叠/展开 | 单Section独占显示后不再需要 |
+| 滚动监听高亮 | 改为点击切换，无需监听滚动 |
+| 长页面平滑滚动 | 内容不再超长，无需滚动 |
+| "SETTINGS" label | 冗余信息，移除以简化UI |
+
+### Preserved Features
+- 所有设置项功能和逻辑
+- 表单验证
+- 设置项描述和提示
+- 原有的CSS变量系统
+
+---
+
+## Success Criteria
+
+### Phase 0
+- [ ] Modal显示为两栏布局
+- [ ] 左侧显示4个Section导航
+- [ ] 点击导航切换右侧显示的Section
+- [ ] 当前选中导航项高亮显示
+- [ ] Section标题有accent色下划线
+- [ ] 设置项以卡片形式分组展示
+- [ ] 移除所有折叠/展开功能
+- [ ] 移动端响应式正常（单栏堆叠）
+- [ ] 所有现有设置功能正常工作
+- [ ] 设计风格与原有UI一致
+
+### Phase 1
+- [ ] 搜索框可输入关键词
+- [ ] 实时过滤显示匹配项
+- [ ] 高亮匹配的关键词
+
+### Phase 2
+- [ ] 底部有固定操作按钮栏
+- [ ] Cancel和Save Changes按钮工作正常
+
+---
+
+## Timeline
+
+| Phase | Estimated Time | Status |
+|-------|---------------|--------|
+| P0    | 3-4 hours     | Ready for Development |
+| P1    | 2-3 hours     | Planned |
+| P2    | 1-2 hours     | Planned |
+
+---
+
+## Reference
+
+### Design Inspiration
+- **macOS System Settings**: 左侧导航 + 右侧单Section独占
+- **VS Code Settings**: 清晰的视觉层次和搜索体验
+- **Linear**: 简洁的两栏布局设计
+
+### CSS Variables Reference
+```css
+/* Colors */
+--lora-accent: #007AFF;
+--lora-border: rgba(255, 255, 255, 0.1);
+--card-bg: rgba(255, 255, 255, 0.05);
+--text-color: #ffffff;
+--text-muted: rgba(255, 255, 255, 0.6);
+
+/* Spacing */
+--space-1: 8px;
+--space-2: 12px;
+--space-3: 16px;
+--space-4: 24px;
+
+/* Border Radius */
+--border-radius-xs: 4px;
+--border-radius-sm: 8px;
+```
+
+---
+
+**Last Updated**: 2025-02-24
+**Author**: AI Assistant
+**Status**: Ready for Implementation

docs/ui-ux-optimization/settings-modal-progress.md

@@ -0,0 +1,191 @@
+# Settings Modal Optimization Progress
+
+**Project**: Settings Modal UI/UX Optimization  
+**Status**: Phase 0 - Ready for Development  
+**Last Updated**: 2025-02-24
+
+---
+
+## Phase 0: macOS Settings模式重构
+
+### Overview
+重构Settings Modal为macOS Settings模式：左侧Section导航 + 右侧单Section独占显示。移除冗余元素，优化视觉层次。
+
+### Tasks
+
+#### 1. CSS Updates ✅
+**File**: `static/css/components/modal/settings-modal.css`
+
+- [x] **Layout Styles**
+  - [x] Modal固定尺寸 800x600px
+  - [x] 左侧 sidebar 固定宽度 200px
+  - [x] 右侧 content flex: 1 自动填充
+
+- [x] **Navigation Styles**
+  - [x] `.settings-nav` 容器样式
+  - [x] `.settings-nav-item` 基础样式（更大字体，更醒目的active状态）
+  - [x] `.settings-nav-item.active` 高亮样式（accent背景）
+  - [x] `.settings-nav-item:hover` 悬停效果
+  - [x] 隐藏 "SETTINGS" label
+  - [x] 隐藏 group titles
+
+- [x] **Content Area Styles**
+  - [x] `.settings-section` 默认隐藏（仅当前显示）
+  - [x] `.settings-section.active` 显示状态
+  - [x] `.settings-section-header` 标题样式（20px + accent下划线）
+  - [x] 添加 fadeIn 动画效果
+
+- [x] **Cleanup**
+  - [x] 移除折叠相关样式
+  - [x] 移除 `.settings-section-toggle` 按钮样式
+  - [x] 移除展开/折叠动画样式
+
+**Status**: ✅ Completed
+
+---
+
+#### 2. HTML Structure Update ✅
+**File**: `templates/components/modals/settings_modal.html`
+
+- [x] **Navigation Items**
+  - [x] General (通用)
+  - [x] Interface (界面)
+  - [x] Download (下载)
+  - [x] Advanced (高级)
+  - [x] 移除 "SETTINGS" label
+  - [x] 移除 group titles
+
+- [x] **Content Sections**
+  - [x] 重组为4个Section (general/interface/download/advanced)
+  - [x] 每个section添加 `data-section` 属性
+  - [x] 添加Section标题（带accent下划线）
+  - [x] 移除所有折叠按钮（chevron图标）
+  - [x] 平铺显示所有设置项
+
+**Status**: ✅ Completed
+
+---
+
+#### 3. JavaScript Logic Update ✅
+**File**: `static/js/managers/SettingsManager.js`
+
+- [x] **Navigation Logic**
+  - [x] `initializeNavigation()` 改为Section切换模式
+  - [x] 点击导航项显示对应Section
+  - [x] 更新导航高亮状态
+  - [x] 默认显示第一个Section
+
+- [x] **Remove Legacy Code**
+  - [x] 移除 `initializeSectionCollapse()` 方法
+  - [x] 移除滚动监听相关代码
+  - [x] 移除 `localStorage` 折叠状态存储
+
+- [x] **Search Function**
+  - [x] 更新搜索功能以适配新显示模式
+  - [x] 搜索时自动切换到匹配的Section
+  - [x] 高亮匹配的关键词
+
+**Status**: ✅ Completed
+
+---
+
+### Testing Checklist
+
+#### Visual Testing
+- [ ] 两栏布局正确显示
+- [ ] 左侧导航4个Section正确显示
+- [ ] 点击导航切换右侧内容
+- [ ] 当前导航项高亮显示（accent背景）
+- [ ] Section标题有accent色下划线
+- [ ] 设置项以卡片形式分组
+- [ ] 无"SETTINGS" label
+- [ ] 无折叠/展开按钮
+
+#### Functional Testing
+- [ ] 所有设置项可正常编辑
+- [ ] 设置保存功能正常
+- [ ] 设置加载功能正常
+- [ ] 表单验证正常工作
+- [ ] 帮助提示（tooltip）正常显示
+
+#### Responsive Testing
+- [ ] 桌面端（>768px）两栏布局
+- [ ] 移动端（<768px）单栏堆叠
+- [ ] 移动端导航可正常切换
+
+#### Cross-Browser Testing
+- [ ] Chrome/Edge
+- [ ] Firefox
+- [ ] Safari（如适用）
+
+---
+
+## Phase 1: 搜索功能
+
+### Tasks
+- [ ] 搜索框UI更新
+- [ ] 搜索逻辑实现
+- [ ] 实时过滤显示
+- [ ] 关键词高亮
+
+**Estimated Time**: 2-3 hours  
+**Status**: 📋 Planned
+
+---
+
+## Phase 2: 操作按钮优化
+
+### Tasks
+- [ ] 底部操作栏样式
+- [ ] 固定定位（sticky）
+- [ ] Cancel/Save按钮功能
+- [ ] 可选：Reset/Export/Import
+
+**Estimated Time**: 1-2 hours  
+**Status**: 📋 Planned
+
+---
+
+## Progress Summary
+
+| Phase | Progress | Status |
+|-------|----------|--------|
+| Phase 0 | 100% | ✅ Completed |
+| Phase 1 | 0% | 📋 Planned |
+| Phase 2 | 0% | 📋 Planned |
+
+**Overall Progress**: 100% (Phase 0)
+
+---
+
+## Development Log
+
+### 2025-02-24
+- ✅ 创建优化提案文档（macOS Settings模式）
+- ✅ 创建进度追踪文档
+- ✅ Phase 0 开发完成
+  - ✅ CSS重构完成：新增macOS Settings样式，移除折叠相关样式
+  - ✅ HTML重构完成：重组为4个Section，移除所有折叠按钮
+  - ✅ JavaScript重构完成：实现Section切换逻辑，更新搜索功能
+
+---
+
+## Notes
+
+### Design Decisions
+- 采用macOS Settings模式而非长页面滚动模式
+- 左侧仅显示4个Section，不显示具体设置项
+- 移除折叠/展开功能，简化交互
+- Section标题使用accent色下划线强调
+
+### Technical Notes
+- 优先使用现有CSS变量
+- 保持向后兼容，不破坏现有设置存储逻辑
+- 移动端响应式：小屏幕单栏堆叠
+
+### Blockers
+None
+
+---
+
+**Next Action**: Start Phase 0 - CSS Updates

locales/de.json

@@ -258,17 +258,27 @@
             "contentFiltering": "Inhaltsfilterung",
             "videoSettings": "Video-Einstellungen",
             "layoutSettings": "Layout-Einstellungen",
-            "folderSettings": "Ordner-Einstellungen",
-            "priorityTags": "Prioritäts-Tags",
-            "downloadPathTemplates": "Download-Pfad-Vorlagen",
-            "exampleImages": "Beispielbilder",
-            "updateFlags": "Update-Markierungen",
-            "autoOrganize": "Auto-organize",
             "misc": "Verschiedenes",
-            "metadataArchive": "Metadaten-Archiv-Datenbank",
+            "folderSettings": "Standard-Roots",
-            "storageLocation": "Einstellungsort",
+            "extraFolderPaths": "Zusätzliche Ordnerpfade",
+            "downloadPathTemplates": "Download-Pfad-Vorlagen",
+            "priorityTags": "Prioritäts-Tags",
+            "updateFlags": "Update-Markierungen",
+            "exampleImages": "Beispielbilder",
+            "autoOrganize": "Auto-Organisierung",
+            "metadata": "Metadaten",
             "proxySettings": "Proxy-Einstellungen"
         },
+        "nav": {
+            "general": "Allgemein",
+            "interface": "Oberfläche",
+            "library": "Bibliothek"
+        },
+        "search": {
+            "placeholder": "Einstellungen durchsuchen...",
+            "clear": "Suche löschen",
+            "noResults": "Keine Einstellungen gefunden für \"{query}\""
+        },
         "storage": {
             "locationLabel": "Portabler Modus",
             "locationHelp": "Aktiviere, um settings.json im Repository zu belassen; deaktiviere, um es im Benutzerkonfigurationsordner zu speichern."
@@ -341,13 +351,13 @@
             "activeLibraryHelp": "Zwischen den konfigurierten Bibliotheken wechseln, um die Standardordner zu aktualisieren. Eine Änderung der Auswahl lädt die Seite neu.",
             "loadingLibraries": "Bibliotheken werden geladen...",
             "noLibraries": "Keine Bibliotheken konfiguriert",
-            "defaultLoraRoot": "Standard-LoRA-Stammordner",
+            "defaultLoraRoot": "LoRA-Stammordner",
             "defaultLoraRootHelp": "Legen Sie den Standard-LoRA-Stammordner für Downloads, Importe und Verschiebungen fest",
-            "defaultCheckpointRoot": "Standard-Checkpoint-Stammordner",
+            "defaultCheckpointRoot": "Checkpoint-Stammordner",
             "defaultCheckpointRootHelp": "Legen Sie den Standard-Checkpoint-Stammordner für Downloads, Importe und Verschiebungen fest",
-            "defaultUnetRoot": "Standard-Diffusion-Modell-Stammordner",
+            "defaultUnetRoot": "Diffusion-Modell-Stammordner",
             "defaultUnetRootHelp": "Legen Sie den Standard-Diffusion-Modell-(UNET)-Stammordner für Downloads, Importe und Verschiebungen fest",
-            "defaultEmbeddingRoot": "Standard-Embedding-Stammordner",
+            "defaultEmbeddingRoot": "Embedding-Stammordner",
             "defaultEmbeddingRootHelp": "Legen Sie den Standard-Embedding-Stammordner für Downloads, Importe und Verschiebungen fest",
             "noDefault": "Kein Standard"
         },
@@ -475,6 +485,23 @@
             "proxyPassword": "Passwort (optional)",
             "proxyPasswordPlaceholder": "passwort",
             "proxyPasswordHelp": "Passwort für die Proxy-Authentifizierung (falls erforderlich)"
+        },
+        "extraFolderPaths": {
+            "title": "Zusätzliche Ordnerpfade",
+            "help": "Fügen Sie zusätzliche Modellordner außerhalb der Standardpfade von ComfyUI hinzu. Diese Pfade werden separat gespeichert und zusammen mit den Standardordnern gescannt.",
+            "description": "Konfigurieren Sie zusätzliche Ordner zum Scannen von Modellen. Diese Pfade sind spezifisch für LoRA Manager und werden mit den Standardpfaden von ComfyUI zusammengeführt.",
+            "modelTypes": {
+                "lora": "LoRA-Pfade",
+                "checkpoint": "Checkpoint-Pfade",
+                "unet": "Diffusionsmodell-Pfade",
+                "embedding": "Embedding-Pfade"
+            },
+            "pathPlaceholder": "/pfad/zu/extra/modellen",
+            "saveSuccess": "Zusätzliche Ordnerpfade aktualisiert.",
+            "saveError": "Fehler beim Aktualisieren der zusätzlichen Ordnerpfade: {message}",
+            "validation": {
+                "duplicatePath": "Dieser Pfad ist bereits konfiguriert"
+            }
         }
     },
     "loras": {

locales/en.json

@@ -258,17 +258,27 @@
             "contentFiltering": "Content Filtering",
             "videoSettings": "Video Settings",
             "layoutSettings": "Layout Settings",
-            "folderSettings": "Folder Settings",
+            "misc": "Miscellaneous",
-            "priorityTags": "Priority Tags",
+            "folderSettings": "Default Roots",
+            "extraFolderPaths": "Extra Folder Paths",
             "downloadPathTemplates": "Download Path Templates",
-            "exampleImages": "Example Images",
+            "priorityTags": "Priority Tags",
             "updateFlags": "Update Flags",
+            "exampleImages": "Example Images",
             "autoOrganize": "Auto-organize",
-            "misc": "Misc.",
+            "metadata": "Metadata",
-            "metadataArchive": "Metadata Archive Database",
-            "storageLocation": "Settings Location",
             "proxySettings": "Proxy Settings"
         },
+        "nav": {
+            "general": "General",
+            "interface": "Interface",
+            "library": "Library"
+        },
+        "search": {
+            "placeholder": "Search settings...",
+            "clear": "Clear search",
+            "noResults": "No settings found matching \"{query}\""
+        },
         "storage": {
             "locationLabel": "Portable mode",
             "locationHelp": "Enable to keep settings.json inside the repository; disable to store it in your user config directory."
@@ -341,16 +351,33 @@
             "activeLibraryHelp": "Switch between configured libraries to update default folders. Changing the selection reloads the page.",
             "loadingLibraries": "Loading libraries...",
             "noLibraries": "No libraries configured",
-            "defaultLoraRoot": "Default LoRA Root",
+            "defaultLoraRoot": "LoRA Root",
             "defaultLoraRootHelp": "Set default LoRA root directory for downloads, imports and moves",
-            "defaultCheckpointRoot": "Default Checkpoint Root",
+            "defaultCheckpointRoot": "Checkpoint Root",
             "defaultCheckpointRootHelp": "Set default checkpoint root directory for downloads, imports and moves",
-            "defaultUnetRoot": "Default Diffusion Model Root",
+            "defaultUnetRoot": "Diffusion Model Root",
             "defaultUnetRootHelp": "Set default diffusion model (UNET) root directory for downloads, imports and moves",
-            "defaultEmbeddingRoot": "Default Embedding Root",
+            "defaultEmbeddingRoot": "Embedding Root",
             "defaultEmbeddingRootHelp": "Set default embedding root directory for downloads, imports and moves",
             "noDefault": "No Default"
         },
+        "extraFolderPaths": {
+            "title": "Extra Folder Paths",
+            "help": "Add additional model folders outside of ComfyUI's standard paths. These paths are stored separately and scanned alongside the default folders.",
+            "description": "Configure additional folders to scan for models. These paths are specific to LoRA Manager and will be merged with ComfyUI's default paths.",
+            "modelTypes": {
+                "lora": "LoRA Paths",
+                "checkpoint": "Checkpoint Paths",
+                "unet": "Diffusion Model Paths",
+                "embedding": "Embedding Paths"
+            },
+            "pathPlaceholder": "/path/to/extra/models",
+            "saveSuccess": "Extra folder paths updated.",
+            "saveError": "Failed to update extra folder paths: {message}",
+            "validation": {
+                "duplicatePath": "This path is already configured"
+            }
+        },
         "priorityTags": {
             "title": "Priority Tags",
             "description": "Customize the tag priority order for each model type (e.g., character, concept, style(toon|toon_style))",

locales/es.json

@@ -258,17 +258,27 @@
             "contentFiltering": "Filtrado de contenido",
             "videoSettings": "Configuración de video",
             "layoutSettings": "Configuración de diseño",
-            "folderSettings": "Configuración de carpetas",
-            "priorityTags": "Etiquetas prioritarias",
-            "downloadPathTemplates": "Plantillas de rutas de descarga",
-            "exampleImages": "Imágenes de ejemplo",
-            "updateFlags": "Indicadores de actualización",
-            "autoOrganize": "Auto-organize",
             "misc": "Varios",
-            "metadataArchive": "Base de datos de archivo de metadatos",
+            "folderSettings": "Raíces predeterminadas",
-            "storageLocation": "Ubicación de ajustes",
+            "extraFolderPaths": "Rutas de carpetas adicionales",
+            "downloadPathTemplates": "Plantillas de rutas de descarga",
+            "priorityTags": "Etiquetas prioritarias",
+            "updateFlags": "Indicadores de actualización",
+            "exampleImages": "Imágenes de ejemplo",
+            "autoOrganize": "Organización automática",
+            "metadata": "Metadatos",
             "proxySettings": "Configuración de proxy"
         },
+        "nav": {
+            "general": "General",
+            "interface": "Interfaz",
+            "library": "Biblioteca"
+        },
+        "search": {
+            "placeholder": "Buscar ajustes...",
+            "clear": "Limpiar búsqueda",
+            "noResults": "No se encontraron ajustes que coincidan con \"{query}\""
+        },
         "storage": {
             "locationLabel": "Modo portátil",
             "locationHelp": "Activa para mantener settings.json dentro del repositorio; desactívalo para guardarlo en tu directorio de configuración de usuario."
@@ -341,13 +351,13 @@
             "activeLibraryHelp": "Alterna entre las bibliotecas configuradas para actualizar las carpetas predeterminadas. Cambiar la selección recarga la página.",
             "loadingLibraries": "Cargando bibliotecas...",
             "noLibraries": "No hay bibliotecas configuradas",
-            "defaultLoraRoot": "Raíz predeterminada de LoRA",
+            "defaultLoraRoot": "Raíz de LoRA",
             "defaultLoraRootHelp": "Establecer el directorio raíz predeterminado de LoRA para descargas, importaciones y movimientos",
-            "defaultCheckpointRoot": "Raíz predeterminada de checkpoint",
+            "defaultCheckpointRoot": "Raíz de checkpoint",
             "defaultCheckpointRootHelp": "Establecer el directorio raíz predeterminado de checkpoint para descargas, importaciones y movimientos",
-            "defaultUnetRoot": "Raíz predeterminada de Diffusion Model",
+            "defaultUnetRoot": "Raíz de Diffusion Model",
             "defaultUnetRootHelp": "Establecer el directorio raíz predeterminado de Diffusion Model (UNET) para descargas, importaciones y movimientos",
-            "defaultEmbeddingRoot": "Raíz predeterminada de embedding",
+            "defaultEmbeddingRoot": "Raíz de embedding",
             "defaultEmbeddingRootHelp": "Establecer el directorio raíz predeterminado de embedding para descargas, importaciones y movimientos",
             "noDefault": "Sin predeterminado"
         },
@@ -475,6 +485,23 @@
             "proxyPassword": "Contraseña (opcional)",
             "proxyPasswordPlaceholder": "contraseña",
             "proxyPasswordHelp": "Contraseña para autenticación de proxy (si es necesario)"
+        },
+        "extraFolderPaths": {
+            "title": "Rutas de carpetas adicionales",
+            "help": "Agregue carpetas de modelos adicionales fuera de las rutas estándar de ComfyUI. Estas rutas se almacenan por separado y se escanean junto con las carpetas predeterminadas.",
+            "description": "Configure carpetas adicionales para escanear modelos. Estas rutas son específicas de LoRA Manager y se fusionarán con las rutas predeterminadas de ComfyUI.",
+            "modelTypes": {
+                "lora": "Rutas de LoRA",
+                "checkpoint": "Rutas de Checkpoint",
+                "unet": "Rutas de modelo de difusión",
+                "embedding": "Rutas de Embedding"
+            },
+            "pathPlaceholder": "/ruta/a/modelos/extra",
+            "saveSuccess": "Rutas de carpetas adicionales actualizadas.",
+            "saveError": "Error al actualizar las rutas de carpetas adicionales: {message}",
+            "validation": {
+                "duplicatePath": "Esta ruta ya está configurada"
+            }
         }
     },
     "loras": {

locales/fr.json

@@ -258,17 +258,27 @@
             "contentFiltering": "Filtrage du contenu",
             "videoSettings": "Paramètres vidéo",
             "layoutSettings": "Paramètres d'affichage",
-            "folderSettings": "Paramètres des dossiers",
-            "priorityTags": "Étiquettes prioritaires",
-            "downloadPathTemplates": "Modèles de chemin de téléchargement",
-            "exampleImages": "Images d'exemple",
-            "updateFlags": "Indicateurs de mise à jour",
-            "autoOrganize": "Auto-organize",
             "misc": "Divers",
-            "metadataArchive": "Base de données d'archive des métadonnées",
+            "folderSettings": "Racines par défaut",
-            "storageLocation": "Emplacement des paramètres",
+            "extraFolderPaths": "Chemins de dossiers supplémentaires",
+            "downloadPathTemplates": "Modèles de chemin de téléchargement",
+            "priorityTags": "Étiquettes prioritaires",
+            "updateFlags": "Indicateurs de mise à jour",
+            "exampleImages": "Images d'exemple",
+            "autoOrganize": "Organisation automatique",
+            "metadata": "Métadonnées",
             "proxySettings": "Paramètres du proxy"
         },
+        "nav": {
+            "general": "Général",
+            "interface": "Interface",
+            "library": "Bibliothèque"
+        },
+        "search": {
+            "placeholder": "Rechercher dans les paramètres...",
+            "clear": "Effacer la recherche",
+            "noResults": "Aucun paramètre trouvé correspondant à \"{query}\""
+        },
         "storage": {
             "locationLabel": "Mode portable",
             "locationHelp": "Activez pour garder settings.json dans le dépôt ; désactivez pour le placer dans votre dossier de configuration utilisateur."
@@ -341,13 +351,13 @@
             "activeLibraryHelp": "Basculer entre les bibliothèques configurées pour mettre à jour les dossiers par défaut. Changer la sélection recharge la page.",
             "loadingLibraries": "Chargement des bibliothèques...",
             "noLibraries": "Aucune bibliothèque configurée",
-            "defaultLoraRoot": "Racine LoRA par défaut",
+            "defaultLoraRoot": "Racine LoRA",
             "defaultLoraRootHelp": "Définir le répertoire racine LoRA par défaut pour les téléchargements, imports et déplacements",
-            "defaultCheckpointRoot": "Racine Checkpoint par défaut",
+            "defaultCheckpointRoot": "Racine Checkpoint",
             "defaultCheckpointRootHelp": "Définir le répertoire racine checkpoint par défaut pour les téléchargements, imports et déplacements",
-            "defaultUnetRoot": "Racine Diffusion Model par défaut",
+            "defaultUnetRoot": "Racine Diffusion Model",
             "defaultUnetRootHelp": "Définir le répertoire racine Diffusion Model (UNET) par défaut pour les téléchargements, imports et déplacements",
-            "defaultEmbeddingRoot": "Racine Embedding par défaut",
+            "defaultEmbeddingRoot": "Racine Embedding",
             "defaultEmbeddingRootHelp": "Définir le répertoire racine embedding par défaut pour les téléchargements, imports et déplacements",
             "noDefault": "Aucun par défaut"
         },
@@ -475,6 +485,23 @@
             "proxyPassword": "Mot de passe (optionnel)",
             "proxyPasswordPlaceholder": "mot_de_passe",
             "proxyPasswordHelp": "Mot de passe pour l'authentification proxy (si nécessaire)"
+        },
+        "extraFolderPaths": {
+            "title": "Chemins de dossiers supplémentaires",
+            "help": "Ajoutez des dossiers de modèles supplémentaires en dehors des chemins standard de ComfyUI. Ces chemins sont stockés séparément et analysés aux côtés des dossiers par défaut.",
+            "description": "Configurez des dossiers supplémentaires pour l'analyse de modèles. Ces chemins sont spécifiques à LoRA Manager et seront fusionnés avec les chemins par défaut de ComfyUI.",
+            "modelTypes": {
+                "lora": "Chemins LoRA",
+                "checkpoint": "Chemins Checkpoint",
+                "unet": "Chemins de modèle de diffusion",
+                "embedding": "Chemins Embedding"
+            },
+            "pathPlaceholder": "/chemin/vers/modèles/supplémentaires",
+            "saveSuccess": "Chemins de dossiers supplémentaires mis à jour.",
+            "saveError": "Échec de la mise à jour des chemins de dossiers supplémentaires: {message}",
+            "validation": {
+                "duplicatePath": "Ce chemin est déjà configuré"
+            }
         }
     },
     "loras": {

locales/he.json

@@ -258,17 +258,27 @@
             "contentFiltering": "סינון תוכן",
             "videoSettings": "הגדרות וידאו",
             "layoutSettings": "הגדרות פריסה",
-            "folderSettings": "הגדרות תיקייה",
-            "priorityTags": "תגיות עדיפות",
-            "downloadPathTemplates": "תבניות נתיב הורדה",
-            "exampleImages": "תמונות דוגמה",
-            "updateFlags": "תגי עדכון",
-            "autoOrganize": "Auto-organize",
             "misc": "שונות",
-            "metadataArchive": "מסד נתונים של ארכיון מטא-דאטה",
+            "folderSettings": "תיקיות ברירת מחדל",
-            "storageLocation": "מיקום ההגדרות",
+            "extraFolderPaths": "נתיבי תיקיות נוספים",
+            "downloadPathTemplates": "תבניות נתיב הורדה",
+            "priorityTags": "תגיות עדיפות",
+            "updateFlags": "תגי עדכון",
+            "exampleImages": "תמונות דוגמה",
+            "autoOrganize": "ארגון אוטומטי",
+            "metadata": "מטא-נתונים",
             "proxySettings": "הגדרות פרוקסי"
         },
+        "nav": {
+            "general": "כללי",
+            "interface": "ממשק",
+            "library": "ספרייה"
+        },
+        "search": {
+            "placeholder": "חיפוש בהגדרות...",
+            "clear": "נקה חיפוש",
+            "noResults": "לא נמצאו הגדרות תואמות ל-\"{query}\""
+        },
         "storage": {
             "locationLabel": "מצב נייד",
             "locationHelp": "הפעל כדי לשמור את settings.json בתוך המאגר; בטל כדי לשמור אותו בתיקיית ההגדרות של המשתמש."
@@ -341,13 +351,13 @@
             "activeLibraryHelp": "החלפה בין הספריות המוגדרות לעדכן את תיקיות ברירת המחדל. שינוי הבחירה ירענן את הדף.",
             "loadingLibraries": "טוען ספריות...",
             "noLibraries": "לא הוגדרו ספריות",
-            "defaultLoraRoot": "תיקיית שורש ברירת מחדל של LoRA",
+            "defaultLoraRoot": "תיקיית שורש LoRA",
             "defaultLoraRootHelp": "הגדר את ספריית השורש המוגדרת כברירת מחדל של LoRA להורדות, ייבוא והעברות",
-            "defaultCheckpointRoot": "תיקיית שורש ברירת מחדל של Checkpoint",
+            "defaultCheckpointRoot": "תיקיית שורש Checkpoint",
             "defaultCheckpointRootHelp": "הגדר את ספריית השורש המוגדרת כברירת מחדל של checkpoint להורדות, ייבוא והעברות",
-            "defaultUnetRoot": "תיקיית שורש ברירת מחדל של Diffusion Model",
+            "defaultUnetRoot": "תיקיית שורש Diffusion Model",
             "defaultUnetRootHelp": "הגדר את ספריית השורש המוגדרת כברירת מחדל של Diffusion Model (UNET) להורדות, ייבוא והעברות",
-            "defaultEmbeddingRoot": "תיקיית שורש ברירת מחדל של Embedding",
+            "defaultEmbeddingRoot": "תיקיית שורש Embedding",
             "defaultEmbeddingRootHelp": "הגדר את ספריית השורש המוגדרת כברירת מחדל של embedding להורדות, ייבוא והעברות",
             "noDefault": "אין ברירת מחדל"
         },
@@ -475,6 +485,23 @@
             "proxyPassword": "סיסמה (אופציונלי)",
             "proxyPasswordPlaceholder": "password",
             "proxyPasswordHelp": "סיסמה לאימות מול הפרוקסי (אם נדרש)"
+        },
+        "extraFolderPaths": {
+            "title": "נתיבי תיקיות נוספים",
+            "help": "הוסף תיקיות מודלים נוספות מחוץ לנתיבים הסטנדרטיים של ComfyUI. נתיבים אלה נשמרים בנפרד ונסרקים לצד תיקיות ברירת המחדל.",
+            "description": "הגדר תיקיות נוספות לסריקת מודלים. נתיבים אלה ספציפיים ל-LoRA Manager וימוזגו עם נתיבי ברירת המחדל של ComfyUI.",
+            "modelTypes": {
+                "lora": "נתיבי LoRA",
+                "checkpoint": "נתיבי Checkpoint",
+                "unet": "נתיבי מודל דיפוזיה",
+                "embedding": "נתיבי Embedding"
+            },
+            "pathPlaceholder": "/נתיב/למודלים/נוספים",
+            "saveSuccess": "נתיבי תיקיות נוספים עודכנו.",
+            "saveError": "נכשל בעדכון נתיבי תיקיות נוספים: {message}",
+            "validation": {
+                "duplicatePath": "נתיב זה כבר מוגדר"
+            }
         }
     },
     "loras": {

locales/ja.json

@@ -258,17 +258,27 @@
             "contentFiltering": "コンテンツフィルタリング",
             "videoSettings": "動画設定",
             "layoutSettings": "レイアウト設定",
-            "folderSettings": "フォルダ設定",
-            "priorityTags": "優先タグ",
-            "downloadPathTemplates": "ダウンロードパステンプレート",
-            "exampleImages": "例画像",
-            "updateFlags": "アップデートフラグ",
-            "autoOrganize": "Auto-organize",
             "misc": "その他",
-            "metadataArchive": "メタデータアーカイブデータベース",
+            "folderSettings": "デフォルトルート",
-            "storageLocation": "設定の場所",
+            "extraFolderPaths": "追加フォルダーパス",
+            "downloadPathTemplates": "ダウンロードパステンプレート",
+            "priorityTags": "優先タグ",
+            "updateFlags": "アップデートフラグ",
+            "exampleImages": "例画像",
+            "autoOrganize": "自動整理",
+            "metadata": "メタデータ",
             "proxySettings": "プロキシ設定"
         },
+        "nav": {
+            "general": "一般",
+            "interface": "インターフェース",
+            "library": "ライブラリ"
+        },
+        "search": {
+            "placeholder": "設定を検索...",
+            "clear": "検索をクリア",
+            "noResults": "\"{query}\" に一致する設定が見つかりません"
+        },
         "storage": {
             "locationLabel": "ポータブルモード",
             "locationHelp": "有効にすると settings.json をリポジトリ内に保持し、無効にするとユーザー設定ディレクトリに格納します。"
@@ -341,13 +351,13 @@
             "activeLibraryHelp": "設定済みのライブラリを切り替えてデフォルトのフォルダを更新します。選択を変更するとページが再読み込みされます。",
             "loadingLibraries": "ライブラリを読み込み中...",
             "noLibraries": "ライブラリが設定されていません",
-            "defaultLoraRoot": "デフォルトLoRAルート",
+            "defaultLoraRoot": "LoRAルート",
             "defaultLoraRootHelp": "ダウンロード、インポート、移動用のデフォルトLoRAルートディレクトリを設定",
-            "defaultCheckpointRoot": "デフォルトCheckpointルート",
+            "defaultCheckpointRoot": "Checkpointルート",
             "defaultCheckpointRootHelp": "ダウンロード、インポート、移動用のデフォルトcheckpointルートディレクトリを設定",
-            "defaultUnetRoot": "デフォルトDiffusion Modelルート",
+            "defaultUnetRoot": "Diffusion Modelルート",
             "defaultUnetRootHelp": "ダウンロード、インポート、移動用のデフォルトDiffusion Model (UNET)ルートディレクトリを設定",
-            "defaultEmbeddingRoot": "デフォルトEmbeddingルート",
+            "defaultEmbeddingRoot": "Embeddingルート",
             "defaultEmbeddingRootHelp": "ダウンロード、インポート、移動用のデフォルトembeddingルートディレクトリを設定",
             "noDefault": "デフォルトなし"
         },
@@ -475,6 +485,23 @@
             "proxyPassword": "パスワード（任意）",
             "proxyPasswordPlaceholder": "パスワード",
             "proxyPasswordHelp": "プロキシ認証用のパスワード（必要な場合）"
+        },
+        "extraFolderPaths": {
+            "title": "追加フォルダーパス",
+            "help": "ComfyUIの標準パスの外部に追加のモデルフォルダを追加します。これらのパスは別々に保存され、デフォルトのフォルダと一緒にスキャンされます。",
+            "description": "モデルをスキャンするための追加フォルダを設定します。これらのパスはLoRA Manager固有であり、ComfyUIのデフォルトパスとマージされます。",
+            "modelTypes": {
+                "lora": "LoRAパス",
+                "checkpoint": "Checkpointパス",
+                "unet": "Diffusionモデルパス",
+                "embedding": "Embeddingパス"
+            },
+            "pathPlaceholder": "/追加モデルへのパス",
+            "saveSuccess": "追加フォルダーパスを更新しました。",
+            "saveError": "追加フォルダーパスの更新に失敗しました: {message}",
+            "validation": {
+                "duplicatePath": "このパスはすでに設定されています"
+            }
         }
     },
     "loras": {

locales/ko.json

@@ -258,17 +258,27 @@
             "contentFiltering": "콘텐츠 필터링",
             "videoSettings": "비디오 설정",
             "layoutSettings": "레이아웃 설정",
-            "folderSettings": "폴더 설정",
-            "priorityTags": "우선순위 태그",
-            "downloadPathTemplates": "다운로드 경로 템플릿",
-            "exampleImages": "예시 이미지",
-            "updateFlags": "업데이트 표시",
-            "autoOrganize": "Auto-organize",
             "misc": "기타",
-            "metadataArchive": "메타데이터 아카이브 데이터베이스",
+            "folderSettings": "기본 루트",
-            "storageLocation": "설정 위치",
+            "extraFolderPaths": "추가 폴다 경로",
+            "downloadPathTemplates": "다운로드 경로 템플릿",
+            "priorityTags": "우선순위 태그",
+            "updateFlags": "업데이트 표시",
+            "exampleImages": "예시 이미지",
+            "autoOrganize": "자동 정리",
+            "metadata": "메타데이터",
             "proxySettings": "프록시 설정"
         },
+        "nav": {
+            "general": "일반",
+            "interface": "인터페이스",
+            "library": "라이브러리"
+        },
+        "search": {
+            "placeholder": "설정 검색...",
+            "clear": "검색 지우기",
+            "noResults": "\"{query}\"와 일치하는 설정을 찾을 수 없습니다"
+        },
         "storage": {
             "locationLabel": "휴대용 모드",
             "locationHelp": "활성화하면 settings.json을 리포지토리에 유지하고, 비활성화하면 사용자 구성 디렉터리에 저장합니다."
@@ -341,13 +351,13 @@
             "activeLibraryHelp": "구성된 라이브러리를 전환하여 기본 폴더를 업데이트합니다. 선택을 변경하면 페이지가 다시 로드됩니다.",
             "loadingLibraries": "라이브러리를 불러오는 중...",
             "noLibraries": "구성된 라이브러리가 없습니다",
-            "defaultLoraRoot": "기본 LoRA 루트",
+            "defaultLoraRoot": "LoRA 루트",
             "defaultLoraRootHelp": "다운로드, 가져오기 및 이동을 위한 기본 LoRA 루트 디렉토리를 설정합니다",
-            "defaultCheckpointRoot": "기본 Checkpoint 루트",
+            "defaultCheckpointRoot": "Checkpoint 루트",
             "defaultCheckpointRootHelp": "다운로드, 가져오기 및 이동을 위한 기본 Checkpoint 루트 디렉토리를 설정합니다",
-            "defaultUnetRoot": "기본 Diffusion Model 루트",
+            "defaultUnetRoot": "Diffusion Model 루트",
             "defaultUnetRootHelp": "다운로드, 가져오기 및 이동을 위한 기본 Diffusion Model (UNET) 루트 디렉토리를 설정합니다",
-            "defaultEmbeddingRoot": "기본 Embedding 루트",
+            "defaultEmbeddingRoot": "Embedding 루트",
             "defaultEmbeddingRootHelp": "다운로드, 가져오기 및 이동을 위한 기본 Embedding 루트 디렉토리를 설정합니다",
             "noDefault": "기본값 없음"
         },
@@ -475,6 +485,23 @@
             "proxyPassword": "비밀번호 (선택사항)",
             "proxyPasswordPlaceholder": "password",
             "proxyPasswordHelp": "프록시 인증에 필요한 비밀번호 (필요한 경우)"
+        },
+        "extraFolderPaths": {
+            "title": "추가 폴다 경로",
+            "help": "ComfyUI의 표준 경로 외부에 추가 모델 폴드를 추가하세요. 이러한 경로는 별도로 저장되며 기본 폴와 함께 스캔됩니다.",
+            "description": "모델을 스캔하기 위한 추가 폴를 설정하세요. 이러한 경로는 LoRA Manager 특유의 것이며 ComfyUI의 기본 경로와 병합됩니다.",
+            "modelTypes": {
+                "lora": "LoRA 경로",
+                "checkpoint": "Checkpoint 경로",
+                "unet": "Diffusion 모델 경로",
+                "embedding": "Embedding 경로"
+            },
+            "pathPlaceholder": "/추가/모델/경로",
+            "saveSuccess": "추가 폴다 경로가 업데이트되었습니다.",
+            "saveError": "추가 폴다 경로 업데이트 실패: {message}",
+            "validation": {
+                "duplicatePath": "이 경로는 이미 구성되어 있습니다"
+            }
         }
     },
     "loras": {

locales/ru.json

@@ -258,17 +258,27 @@
             "contentFiltering": "Фильтрация контента",
             "videoSettings": "Настройки видео",
             "layoutSettings": "Настройки макета",
-            "folderSettings": "Настройки папок",
-            "priorityTags": "Приоритетные теги",
-            "downloadPathTemplates": "Шаблоны путей загрузки",
-            "exampleImages": "Примеры изображений",
-            "updateFlags": "Метки обновлений",
-            "autoOrganize": "Auto-organize",
             "misc": "Разное",
-            "metadataArchive": "Архив метаданных",
+            "folderSettings": "Корневые папки",
-            "storageLocation": "Расположение настроек",
+            "extraFolderPaths": "Дополнительные пути к папкам",
+            "downloadPathTemplates": "Шаблоны путей загрузки",
+            "priorityTags": "Приоритетные теги",
+            "updateFlags": "Метки обновлений",
+            "exampleImages": "Примеры изображений",
+            "autoOrganize": "Автоорганизация",
+            "metadata": "Метаданные",
             "proxySettings": "Настройки прокси"
         },
+        "nav": {
+            "general": "Общее",
+            "interface": "Интерфейс",
+            "library": "Библиотека"
+        },
+        "search": {
+            "placeholder": "Поиск в настройках...",
+            "clear": "Очистить поиск",
+            "noResults": "Настройки, соответствующие \"{query}\", не найдены"
+        },
         "storage": {
             "locationLabel": "Портативный режим",
             "locationHelp": "Включите, чтобы хранить settings.json в репозитории; выключите, чтобы сохранить его в папке конфигурации пользователя."
@@ -341,13 +351,13 @@
             "activeLibraryHelp": "Переключайтесь между настроенными библиотеками, чтобы обновить папки по умолчанию. Изменение выбора перезагружает страницу.",
             "loadingLibraries": "Загрузка библиотек...",
             "noLibraries": "Библиотеки не настроены",
-            "defaultLoraRoot": "Корневая папка LoRA по умолчанию",
+            "defaultLoraRoot": "Корневая папка LoRA",
             "defaultLoraRootHelp": "Установить корневую папку LoRA по умолчанию для загрузок, импорта и перемещений",
-            "defaultCheckpointRoot": "Корневая папка Checkpoint по умолчанию",
+            "defaultCheckpointRoot": "Корневая папка Checkpoint",
             "defaultCheckpointRootHelp": "Установить корневую папку checkpoint по умолчанию для загрузок, импорта и перемещений",
-            "defaultUnetRoot": "Корневая папка Diffusion Model по умолчанию",
+            "defaultUnetRoot": "Корневая папка Diffusion Model",
             "defaultUnetRootHelp": "Установить корневую папку Diffusion Model (UNET) по умолчанию для загрузок, импорта и перемещений",
-            "defaultEmbeddingRoot": "Корневая папка Embedding по умолчанию",
+            "defaultEmbeddingRoot": "Корневая папка Embedding",
             "defaultEmbeddingRootHelp": "Установить корневую папку embedding по умолчанию для загрузок, импорта и перемещений",
             "noDefault": "Не задано"
         },
@@ -475,6 +485,23 @@
             "proxyPassword": "Пароль (необязательно)",
             "proxyPasswordPlaceholder": "пароль",
             "proxyPasswordHelp": "Пароль для аутентификации на прокси (если требуется)"
+        },
+        "extraFolderPaths": {
+            "title": "Дополнительные пути к папкам",
+            "help": "Добавьте дополнительные папки моделей за пределами стандартных путей ComfyUI. Эти пути хранятся отдельно и сканируются вместе с папками по умолчанию.",
+            "description": "Настройте дополнительные папки для сканирования моделей. Эти пути специфичны для LoRA Manager и будут объединены с путями по умолчанию ComfyUI.",
+            "modelTypes": {
+                "lora": "Пути LoRA",
+                "checkpoint": "Пути Checkpoint",
+                "unet": "Пути моделей диффузии",
+                "embedding": "Пути Embedding"
+            },
+            "pathPlaceholder": "/путь/к/дополнительным/моделям",
+            "saveSuccess": "Дополнительные пути к папкам обновлены.",
+            "saveError": "Не удалось обновить дополнительные пути к папкам: {message}",
+            "validation": {
+                "duplicatePath": "Этот путь уже настроен"
+            }
         }
     },
     "loras": {

locales/zh-CN.json

@@ -258,17 +258,27 @@
             "contentFiltering": "内容过滤",
             "videoSettings": "视频设置",
             "layoutSettings": "布局设置",
-            "folderSettings": "文件夹设置",
-            "priorityTags": "优先标签",
-            "downloadPathTemplates": "下载路径模板",
-            "exampleImages": "示例图片",
-            "updateFlags": "更新标记",
-            "autoOrganize": "Auto-organize",
             "misc": "其他",
-            "metadataArchive": "元数据归档数据库",
+            "folderSettings": "默认根目录",
-            "storageLocation": "设置位置",
+            "extraFolderPaths": "额外文件夹路径",
+            "downloadPathTemplates": "下载路径模板",
+            "priorityTags": "优先标签",
+            "updateFlags": "更新标记",
+            "exampleImages": "示例图片",
+            "autoOrganize": "自动整理",
+            "metadata": "元数据",
             "proxySettings": "代理设置"
         },
+        "nav": {
+            "general": "通用",
+            "interface": "界面",
+            "library": "库"
+        },
+        "search": {
+            "placeholder": "搜索设置...",
+            "clear": "清除搜索",
+            "noResults": "未找到匹配 \"{query}\" 的设置"
+        },
         "storage": {
             "locationLabel": "便携模式",
             "locationHelp": "开启可将 settings.json 保存在仓库中；关闭则保存在用户配置目录。"
@@ -341,13 +351,13 @@
             "activeLibraryHelp": "在已配置的库之间切换以更新默认文件夹。更改选择将重新加载页面。",
             "loadingLibraries": "正在加载库...",
             "noLibraries": "尚未配置库",
-            "defaultLoraRoot": "默认 LoRA 根目录",
+            "defaultLoraRoot": "LoRA 根目录",
             "defaultLoraRootHelp": "设置下载、导入和移动时的默认 LoRA 根目录",
-            "defaultCheckpointRoot": "默认 Checkpoint 根目录",
+            "defaultCheckpointRoot": "Checkpoint 根目录",
             "defaultCheckpointRootHelp": "设置下载、导入和移动时的默认 Checkpoint 根目录",
-            "defaultUnetRoot": "默认 Diffusion Model 根目录",
+            "defaultUnetRoot": "Diffusion Model 根目录",
             "defaultUnetRootHelp": "设置下载、导入和移动时的默认 Diffusion Model (UNET) 根目录",
-            "defaultEmbeddingRoot": "默认 Embedding 根目录",
+            "defaultEmbeddingRoot": "Embedding 根目录",
             "defaultEmbeddingRootHelp": "设置下载、导入和移动时的默认 Embedding 根目录",
             "noDefault": "无默认"
         },
@@ -475,6 +485,23 @@
             "proxyPassword": "密码 (可选)",
             "proxyPasswordPlaceholder": "密码",
             "proxyPasswordHelp": "代理认证的密码 (如果需要)"
+        },
+        "extraFolderPaths": {
+            "title": "额外文件夹路径",
+            "help": "在 ComfyUI 的标准路径之外添加额外的模型文件夹。这些路径单独存储，并与默认文件夹一起扫描。",
+            "description": "配置额外的文件夹以扫描模型。这些路径是 LoRA Manager 特有的，将与 ComfyUI 的默认路径合并。",
+            "modelTypes": {
+                "lora": "LoRA 路径",
+                "checkpoint": "Checkpoint 路径",
+                "unet": "Diffusion 模型路径",
+                "embedding": "Embedding 路径"
+            },
+            "pathPlaceholder": "/额外/模型/路径",
+            "saveSuccess": "额外文件夹路径已更新。",
+            "saveError": "更新额外文件夹路径失败：{message}",
+            "validation": {
+                "duplicatePath": "此路径已配置"
+            }
         }
     },
     "loras": {

locales/zh-TW.json

@@ -258,17 +258,27 @@
             "contentFiltering": "內容過濾",
             "videoSettings": "影片設定",
             "layoutSettings": "版面設定",
-            "folderSettings": "資料夾設定",
-            "priorityTags": "優先標籤",
-            "downloadPathTemplates": "下載路徑範本",
-            "exampleImages": "範例圖片",
-            "updateFlags": "更新標記",
-            "autoOrganize": "Auto-organize",
             "misc": "其他",
-            "metadataArchive": "中繼資料封存資料庫",
+            "folderSettings": "預設根目錄",
-            "storageLocation": "設定位置",
+            "extraFolderPaths": "額外資料夾路徑",
+            "downloadPathTemplates": "下載路徑範本",
+            "priorityTags": "優先標籤",
+            "updateFlags": "更新標記",
+            "exampleImages": "範例圖片",
+            "autoOrganize": "自動整理",
+            "metadata": "中繼資料",
             "proxySettings": "代理設定"
         },
+        "nav": {
+            "general": "通用",
+            "interface": "介面",
+            "library": "模型庫"
+        },
+        "search": {
+            "placeholder": "搜尋設定...",
+            "clear": "清除搜尋",
+            "noResults": "未找到符合 \"{query}\" 的設定"
+        },
         "storage": {
             "locationLabel": "可攜式模式",
             "locationHelp": "啟用可將 settings.json 保存在儲存庫中；停用則保存在使用者設定目錄。"
@@ -341,13 +351,13 @@
             "activeLibraryHelp": "在已設定的資料庫之間切換以更新預設資料夾。變更選項會重新載入頁面。",
             "loadingLibraries": "正在載入資料庫...",
             "noLibraries": "尚未設定任何資料庫",
-            "defaultLoraRoot": "預設 LoRA 根目錄",
+            "defaultLoraRoot": "LoRA 根目錄",
             "defaultLoraRootHelp": "設定下載、匯入和移動時的預設 LoRA 根目錄",
-            "defaultCheckpointRoot": "預設 Checkpoint 根目錄",
+            "defaultCheckpointRoot": "Checkpoint 根目錄",
             "defaultCheckpointRootHelp": "設定下載、匯入和移動時的預設 Checkpoint 根目錄",
-            "defaultUnetRoot": "預設 Diffusion Model 根目錄",
+            "defaultUnetRoot": "Diffusion Model 根目錄",
             "defaultUnetRootHelp": "設定下載、匯入和移動時的預設 Diffusion Model (UNET) 根目錄",
-            "defaultEmbeddingRoot": "預設 Embedding 根目錄",
+            "defaultEmbeddingRoot": "Embedding 根目錄",
             "defaultEmbeddingRootHelp": "設定下載、匯入和移動時的預設 Embedding 根目錄",
             "noDefault": "未設定預設"
         },
@@ -475,6 +485,23 @@
             "proxyPassword": "密碼（選填）",
             "proxyPasswordPlaceholder": "password",
             "proxyPasswordHelp": "代理驗證所需的密碼（如有需要）"
+        },
+        "extraFolderPaths": {
+            "title": "額外資料夾路徑",
+            "help": "在 ComfyUI 的標準路徑之外新增額外的模型資料夾。這些路徑單獨儲存，並與預設資料夾一起掃描。",
+            "description": "設定額外的資料夾以掃描模型。這些路徑是 LoRA Manager 特有的，將與 ComfyUI 的預設路徑合併。",
+            "modelTypes": {
+                "lora": "LoRA 路徑",
+                "checkpoint": "Checkpoint 路徑",
+                "unet": "Diffusion 模型路徑",
+                "embedding": "Embedding 路徑"
+            },
+            "pathPlaceholder": "/額外/模型/路徑",
+            "saveSuccess": "額外資料夾路徑已更新。",
+            "saveError": "更新額外資料夾路徑失敗：{message}",
+            "validation": {
+                "duplicatePath": "此路徑已設定"
+            }
         }
     },
     "loras": {

py/config.py

@@ -91,6 +91,11 @@ class Config:
         self.embeddings_roots = None
         self.base_models_roots = self._init_checkpoint_paths()
         self.embeddings_roots = self._init_embedding_paths()
+        # Extra paths (only for LoRA Manager, not shared with ComfyUI)
+        self.extra_loras_roots: List[str] = []
+        self.extra_checkpoints_roots: List[str] = []
+        self.extra_unet_roots: List[str] = []
+        self.extra_embeddings_roots: List[str] = []
         # Scan symbolic links during initialization
         self._initialize_symlink_mappings()
         
@@ -250,6 +255,11 @@ class Config:
         roots.extend(self.loras_roots or [])
         roots.extend(self.base_models_roots or [])
         roots.extend(self.embeddings_roots or [])
+        # Include extra paths for scanning symlinks
+        roots.extend(self.extra_loras_roots or [])
+        roots.extend(self.extra_checkpoints_roots or [])
+        roots.extend(self.extra_unet_roots or [])
+        roots.extend(self.extra_embeddings_roots or [])
         return roots
 
     def _build_symlink_fingerprint(self) -> Dict[str, object]:
@@ -570,6 +580,15 @@ class Config:
             preview_roots.update(self._expand_preview_root(root))
         for root in self.embeddings_roots or []:
             preview_roots.update(self._expand_preview_root(root))
+        # Include extra paths for preview access
+        for root in self.extra_loras_roots or []:
+            preview_roots.update(self._expand_preview_root(root))
+        for root in self.extra_checkpoints_roots or []:
+            preview_roots.update(self._expand_preview_root(root))
+        for root in self.extra_unet_roots or []:
+            preview_roots.update(self._expand_preview_root(root))
+        for root in self.extra_embeddings_roots or []:
+            preview_roots.update(self._expand_preview_root(root))
 
         for target, link in self._path_mappings.items():
             preview_roots.update(self._expand_preview_root(target))
@@ -577,11 +596,11 @@ class Config:
 
         self._preview_root_paths = {path for path in preview_roots if path.is_absolute()}
         logger.debug(
-            "Preview roots rebuilt: %d paths from %d lora roots, %d checkpoint roots, %d embedding roots, %d symlink mappings",
+            "Preview roots rebuilt: %d paths from %d lora roots (%d extra), %d checkpoint roots (%d extra), %d embedding roots (%d extra), %d symlink mappings",
             len(self._preview_root_paths),
-            len(self.loras_roots or []),
+            len(self.loras_roots or []), len(self.extra_loras_roots or []),
-            len(self.base_models_roots or []),
+            len(self.base_models_roots or []), len(self.extra_checkpoints_roots or []),
-            len(self.embeddings_roots or []),
+            len(self.embeddings_roots or []), len(self.extra_embeddings_roots or []),
             len(self._path_mappings),
         )
 
@@ -692,7 +711,11 @@ class Config:
 
         return unique_paths
 
-    def _apply_library_paths(self, folder_paths: Mapping[str, Iterable[str]]) -> None:
+    def _apply_library_paths(
+        self,
+        folder_paths: Mapping[str, Iterable[str]],
+        extra_folder_paths: Optional[Mapping[str, Iterable[str]]] = None,
+    ) -> None:
         self._path_mappings.clear()
         self._preview_root_paths = set()
 
@@ -705,6 +728,20 @@ class Config:
         self.base_models_roots = self._prepare_checkpoint_paths(checkpoint_paths, unet_paths)
         self.embeddings_roots = self._prepare_embedding_paths(embedding_paths)
 
+        # Process extra paths (only for LoRA Manager, not shared with ComfyUI)
+        extra_paths = extra_folder_paths or {}
+        extra_lora_paths = extra_paths.get('loras', []) or []
+        extra_checkpoint_paths = extra_paths.get('checkpoints', []) or []
+        extra_unet_paths = extra_paths.get('unet', []) or []
+        extra_embedding_paths = extra_paths.get('embeddings', []) or []
+
+        self.extra_loras_roots = self._prepare_lora_paths(extra_lora_paths)
+        self.extra_checkpoints_roots = self._prepare_checkpoint_paths(extra_checkpoint_paths, extra_unet_paths)
+        self.extra_embeddings_roots = self._prepare_embedding_paths(extra_embedding_paths)
+        # extra_unet_roots is set by _prepare_checkpoint_paths (access unet_roots before it's reset)
+        unet_roots_value: List[str] = getattr(self, 'unet_roots', None) or []
+        self.extra_unet_roots = unet_roots_value
+
         self._initialize_symlink_mappings()
 
     def _init_lora_paths(self) -> List[str]:
@@ -864,16 +901,19 @@ class Config:
     def apply_library_settings(self, library_config: Mapping[str, object]) -> None:
         """Update runtime paths to match the provided library configuration."""
         folder_paths = library_config.get('folder_paths') if isinstance(library_config, Mapping) else {}
+        extra_folder_paths = library_config.get('extra_folder_paths') if isinstance(library_config, Mapping) else None
         if not isinstance(folder_paths, Mapping):
             folder_paths = {}
+        if not isinstance(extra_folder_paths, Mapping):
+            extra_folder_paths = None
 
-        self._apply_library_paths(folder_paths)
+        self._apply_library_paths(folder_paths, extra_folder_paths)
 
         logger.info(
-            "Applied library settings with %d lora roots, %d checkpoint roots, and %d embedding roots",
+            "Applied library settings with %d lora roots (%d extra), %d checkpoint roots (%d extra), and %d embedding roots (%d extra)",
-            len(self.loras_roots or []),
+            len(self.loras_roots or []), len(self.extra_loras_roots or []),
-            len(self.base_models_roots or []),
+            len(self.base_models_roots or []), len(self.extra_checkpoints_roots or []),
-            len(self.embeddings_roots or []),
+            len(self.embeddings_roots or []), len(self.extra_embeddings_roots or []),
         )
 
     def get_library_registry_snapshot(self) -> Dict[str, object]:

py/nodes/lora_loader.py

@@ -1,7 +1,8 @@
 import logging
 import re
-from nodes import LoraLoader
+import comfy.utils # type: ignore
-from ..utils.utils import get_lora_info
+import comfy.sd # type: ignore
+from ..utils.utils import get_lora_info_absolute
 from .utils import FlexibleOptionalInputType, any_type, extract_lora_name, get_loras_list, nunchaku_load_lora
 
 logger = logging.getLogger(__name__)
@@ -52,18 +53,20 @@ class LoraLoaderLM:
         # First process lora_stack if available
         if lora_stack:
             for lora_path, model_strength, clip_strength in lora_stack:
+                # Extract lora name and convert to absolute path
+                # lora_stack stores relative paths, but load_torch_file needs absolute paths
+                lora_name = extract_lora_name(lora_path)
+                absolute_lora_path, trigger_words = get_lora_info_absolute(lora_name)
+                
                 # Apply the LoRA using the appropriate loader
                 if is_nunchaku_model:
                     # Use our custom function for Flux models
                     model = nunchaku_load_lora(model, lora_path, model_strength)
                     # clip remains unchanged for Nunchaku models
                 else:
-                    # Use default loader for standard models
+                    # Use lower-level API to load LoRA directly without folder_paths validation
-                    model, clip = LoraLoader().load_lora(model, clip, lora_path, model_strength, clip_strength)
+                    lora = comfy.utils.load_torch_file(absolute_lora_path, safe_load=True)
-                
+                    model, clip = comfy.sd.load_lora_for_models(model, clip, lora, model_strength, clip_strength)
-                # Extract lora name for trigger words lookup
-                lora_name = extract_lora_name(lora_path)
-                _, trigger_words = get_lora_info(lora_name)
                 
                 all_trigger_words.extend(trigger_words)
                 # Add clip strength to output if different from model strength (except for Nunchaku models)
@@ -84,7 +87,7 @@ class LoraLoaderLM:
             clip_strength = float(lora.get('clipStrength', model_strength))
             
             # Get lora path and trigger words
-            lora_path, trigger_words = get_lora_info(lora_name)
+            lora_path, trigger_words = get_lora_info_absolute(lora_name)
             
             # Apply the LoRA using the appropriate loader
             if is_nunchaku_model:
@@ -92,8 +95,9 @@ class LoraLoaderLM:
                 model = nunchaku_load_lora(model, lora_path, model_strength)
                 # clip remains unchanged
             else:
-                # Use default loader for standard models
+                # Use lower-level API to load LoRA directly without folder_paths validation
-                model, clip = LoraLoader().load_lora(model, clip, lora_path, model_strength, clip_strength)
+                lora = comfy.utils.load_torch_file(lora_path, safe_load=True)
+                model, clip = comfy.sd.load_lora_for_models(model, clip, lora, model_strength, clip_strength)
             
             # Include clip strength in output if different from model strength and not a Nunchaku model
             if not is_nunchaku_model and abs(model_strength - clip_strength) > 0.001:
@@ -193,18 +197,20 @@ class LoraTextLoaderLM:
         # First process lora_stack if available
         if lora_stack:
             for lora_path, model_strength, clip_strength in lora_stack:
+                # Extract lora name and convert to absolute path
+                # lora_stack stores relative paths, but load_torch_file needs absolute paths
+                lora_name = extract_lora_name(lora_path)
+                absolute_lora_path, trigger_words = get_lora_info_absolute(lora_name)
+                
                 # Apply the LoRA using the appropriate loader
                 if is_nunchaku_model:
                     # Use our custom function for Flux models
                     model = nunchaku_load_lora(model, lora_path, model_strength)
                     # clip remains unchanged for Nunchaku models
                 else:
-                    # Use default loader for standard models
+                    # Use lower-level API to load LoRA directly without folder_paths validation
-                    model, clip = LoraLoader().load_lora(model, clip, lora_path, model_strength, clip_strength)
+                    lora = comfy.utils.load_torch_file(absolute_lora_path, safe_load=True)
-                
+                    model, clip = comfy.sd.load_lora_for_models(model, clip, lora, model_strength, clip_strength)
-                # Extract lora name for trigger words lookup
-                lora_name = extract_lora_name(lora_path)
-                _, trigger_words = get_lora_info(lora_name)
                 
                 all_trigger_words.extend(trigger_words)
                 # Add clip strength to output if different from model strength (except for Nunchaku models)
@@ -221,7 +227,7 @@ class LoraTextLoaderLM:
             clip_strength = lora['clip_strength']
             
             # Get lora path and trigger words
-            lora_path, trigger_words = get_lora_info(lora_name)
+            lora_path, trigger_words = get_lora_info_absolute(lora_name)
             
             # Apply the LoRA using the appropriate loader
             if is_nunchaku_model:
@@ -229,8 +235,9 @@ class LoraTextLoaderLM:
                 model = nunchaku_load_lora(model, lora_path, model_strength)
                 # clip remains unchanged
             else:
-                # Use default loader for standard models
+                # Use lower-level API to load LoRA directly without folder_paths validation
-                model, clip = LoraLoader().load_lora(model, clip, lora_path, model_strength, clip_strength)
+                lora = comfy.utils.load_torch_file(lora_path, safe_load=True)
+                model, clip = comfy.sd.load_lora_for_models(model, clip, lora, model_strength, clip_strength)
             
             # Include clip strength in output if different from model strength and not a Nunchaku model
             if not is_nunchaku_model and abs(model_strength - clip_strength) > 0.001:

py/routes/handlers/misc_handlers.py

@@ -192,6 +192,7 @@ class NodeRegistry:
                     "comfy_class": comfy_class,
                     "capabilities": capabilities,
                     "widget_names": widget_names,
+                    "mode": node.get("mode"),
                 }
             logger.debug("Registered %s nodes in registry", len(nodes))
             self._registry_updated.set()

py/routes/handlers/model_handlers.py

@@ -383,7 +383,25 @@ class ModelManagementHandler:
                 return web.json_response(
                     {"success": False, "error": "Model not found in cache"}, status=404
                 )
-            if not model_data.get("sha256"):
+            
+            # Check if hash needs to be calculated (lazy hash for checkpoints)
+            sha256 = model_data.get("sha256")
+            hash_status = model_data.get("hash_status", "completed")
+            
+            if not sha256 or hash_status != "completed":
+                # For checkpoints, calculate hash on-demand
+                scanner = self._service.scanner
+                if hasattr(scanner, 'calculate_hash_for_model'):
+                    self._logger.info(f"Lazy hash calculation triggered for {file_path}")
+                    sha256 = await scanner.calculate_hash_for_model(file_path)
+                    if not sha256:
+                        return web.json_response(
+                            {"success": False, "error": "Failed to calculate SHA256 hash"}, status=500
+                        )
+                    # Update model_data with new hash
+                    model_data["sha256"] = sha256
+                    model_data["hash_status"] = "completed"
+                else:
                     return web.json_response(
                         {"success": False, "error": "No SHA256 hash found"}, status=400
                     )

py/services/checkpoint_scanner.py

@@ -1,7 +1,12 @@
+import json
 import logging
+import os
+from datetime import datetime
 from typing import Any, Dict, List, Optional
 
 from ..utils.models import CheckpointMetadata
+from ..utils.file_utils import find_preview_file, normalize_path
+from ..utils.metadata_manager import MetadataManager
 from ..config import config
 from .model_scanner import ModelScanner
 from .model_hash_index import ModelHashIndex
@@ -21,6 +26,216 @@ class CheckpointScanner(ModelScanner):
             hash_index=ModelHashIndex()
         )
 
+    async def _create_default_metadata(self, file_path: str) -> Optional[CheckpointMetadata]:
+        """Create default metadata for checkpoint without calculating hash (lazy hash).
+        
+        Checkpoints are typically large (10GB+), so we skip hash calculation during initial
+        scanning to improve startup performance. Hash will be calculated on-demand when
+        fetching metadata from Civitai.
+        """
+        try:
+            real_path = os.path.realpath(file_path)
+            if not os.path.exists(real_path):
+                logger.error(f"File not found: {file_path}")
+                return None
+            
+            base_name = os.path.splitext(os.path.basename(file_path))[0]
+            dir_path = os.path.dirname(file_path)
+            
+            # Find preview image
+            preview_url = find_preview_file(base_name, dir_path)
+            
+            # Create metadata WITHOUT calculating hash
+            metadata = CheckpointMetadata(
+                file_name=base_name,
+                model_name=base_name,
+                file_path=normalize_path(file_path),
+                size=os.path.getsize(real_path),
+                modified=datetime.now().timestamp(),
+                sha256="",  # Empty hash - will be calculated on-demand
+                base_model="Unknown",
+                preview_url=normalize_path(preview_url),
+                tags=[],
+                modelDescription="",
+                sub_type="checkpoint",
+                from_civitai=False,  # Mark as local model since no hash yet
+                hash_status="pending"  # Mark hash as pending
+            )
+            
+            # Save the created metadata
+            logger.info(f"Creating checkpoint metadata (hash pending) for {file_path}")
+            await MetadataManager.save_metadata(file_path, metadata)
+            
+            return metadata
+            
+        except Exception as e:
+            logger.error(f"Error creating default checkpoint metadata for {file_path}: {e}")
+            return None
+
+    async def calculate_hash_for_model(self, file_path: str) -> Optional[str]:
+        """Calculate hash for a checkpoint on-demand.
+        
+        Args:
+            file_path: Path to the model file
+            
+        Returns:
+            SHA256 hash string, or None if calculation failed
+        """
+        from ..utils.file_utils import calculate_sha256
+        
+        try:
+            real_path = os.path.realpath(file_path)
+            if not os.path.exists(real_path):
+                logger.error(f"File not found for hash calculation: {file_path}")
+                return None
+            
+            # Load current metadata
+            metadata, _ = await MetadataManager.load_metadata(file_path, self.model_class)
+            if metadata is None:
+                logger.error(f"No metadata found for {file_path}")
+                return None
+            
+            # Check if hash is already calculated
+            if metadata.hash_status == "completed" and metadata.sha256:
+                return metadata.sha256
+            
+            # Update status to calculating
+            metadata.hash_status = "calculating"
+            await MetadataManager.save_metadata(file_path, metadata)
+            
+            # Calculate hash
+            logger.info(f"Calculating hash for checkpoint: {file_path}")
+            sha256 = await calculate_sha256(real_path)
+            
+            # Update metadata with hash
+            metadata.sha256 = sha256
+            metadata.hash_status = "completed"
+            await MetadataManager.save_metadata(file_path, metadata)
+            
+            # Update hash index
+            self._hash_index.add_entry(sha256.lower(), file_path)
+            
+            logger.info(f"Hash calculated for checkpoint: {file_path}")
+            return sha256
+            
+        except Exception as e:
+            logger.error(f"Error calculating hash for {file_path}: {e}")
+            # Update status to failed
+            try:
+                metadata, _ = await MetadataManager.load_metadata(file_path, self.model_class)
+                if metadata:
+                    metadata.hash_status = "failed"
+                    await MetadataManager.save_metadata(file_path, metadata)
+            except Exception:
+                pass
+            return None
+
+    async def calculate_all_pending_hashes(self, progress_callback=None) -> Dict[str, int]:
+        """Calculate hashes for all checkpoints with pending hash status.
+        
+        If cache is not initialized, scans filesystem directly for metadata files
+        with hash_status != 'completed'.
+        
+        Args:
+            progress_callback: Optional callback(progress, total, current_file)
+            
+        Returns:
+            Dict with 'completed', 'failed', 'total' counts
+        """
+        # Try to get from cache first
+        cache = await self.get_cached_data()
+        
+        if cache and cache.raw_data:
+            # Use cache if available
+            pending_models = [
+                item for item in cache.raw_data 
+                if item.get('hash_status') != 'completed' or not item.get('sha256')
+            ]
+        else:
+            # Cache not initialized, scan filesystem directly
+            pending_models = await self._find_pending_models_from_filesystem()
+        
+        if not pending_models:
+            return {'completed': 0, 'failed': 0, 'total': 0}
+        
+        total = len(pending_models)
+        completed = 0
+        failed = 0
+        
+        for i, model_data in enumerate(pending_models):
+            file_path = model_data.get('file_path')
+            if not file_path:
+                continue
+            
+            try:
+                sha256 = await self.calculate_hash_for_model(file_path)
+                if sha256:
+                    completed += 1
+                else:
+                    failed += 1
+            except Exception as e:
+                logger.error(f"Error calculating hash for {file_path}: {e}")
+                failed += 1
+            
+            if progress_callback:
+                try:
+                    await progress_callback(i + 1, total, file_path)
+                except Exception:
+                    pass
+        
+        return {
+            'completed': completed,
+            'failed': failed,
+            'total': total
+        }
+    
+    async def _find_pending_models_from_filesystem(self) -> List[Dict[str, Any]]:
+        """Scan filesystem for checkpoint metadata files with pending hash status."""
+        pending_models = []
+        
+        for root_path in self.get_model_roots():
+            if not os.path.exists(root_path):
+                continue
+            
+            for dirpath, _dirnames, filenames in os.walk(root_path):
+                for filename in filenames:
+                    if not filename.endswith('.metadata.json'):
+                        continue
+                    
+                    metadata_path = os.path.join(dirpath, filename)
+                    try:
+                        with open(metadata_path, 'r', encoding='utf-8') as f:
+                            data = json.load(f)
+                        
+                        # Check if hash is pending
+                        hash_status = data.get('hash_status', 'completed')
+                        sha256 = data.get('sha256', '')
+                        
+                        if hash_status != 'completed' or not sha256:
+                            # Find corresponding model file
+                            model_name = filename.replace('.metadata.json', '')
+                            model_path = None
+                            
+                            # Look for model file with matching name
+                            for ext in self.file_extensions:
+                                potential_path = os.path.join(dirpath, model_name + ext)
+                                if os.path.exists(potential_path):
+                                    model_path = potential_path
+                                    break
+                            
+                            if model_path:
+                                pending_models.append({
+                                    'file_path': model_path.replace(os.sep, '/'),
+                                    'hash_status': hash_status,
+                                    'sha256': sha256,
+                                    **{k: v for k, v in data.items() if k not in ['file_path', 'hash_status', 'sha256']}
+                                })
+                    except (json.JSONDecodeError, Exception) as e:
+                        logger.debug(f"Error reading metadata file {metadata_path}: {e}")
+                        continue
+        
+        return pending_models
+
     def _resolve_sub_type(self, root_path: Optional[str]) -> Optional[str]:
         """Resolve the sub-type based on the root path."""
         if not root_path:
@@ -51,5 +266,16 @@ class CheckpointScanner(ModelScanner):
         return entry
 
     def get_model_roots(self) -> List[str]:
-        """Get checkpoint root directories"""
+        """Get checkpoint root directories (including extra paths)"""
-        return config.base_models_roots
+        roots: List[str] = []
+        roots.extend(config.base_models_roots or [])
+        roots.extend(config.extra_checkpoints_roots or [])
+        roots.extend(config.extra_unet_roots or [])
+        # Remove duplicates while preserving order
+        seen: set = set()
+        unique_roots: List[str] = []
+        for root in roots:
+            if root not in seen:
+                seen.add(root)
+                unique_roots.append(root)
+        return unique_roots

py/services/embedding_scanner.py

@@ -22,5 +22,15 @@ class EmbeddingScanner(ModelScanner):
         )
 
     def get_model_roots(self) -> List[str]:
-        """Get embedding root directories"""
+        """Get embedding root directories (including extra paths)"""
-        return config.embeddings_roots
+        roots: List[str] = []
+        roots.extend(config.embeddings_roots or [])
+        roots.extend(config.extra_embeddings_roots or [])
+        # Remove duplicates while preserving order
+        seen: set = set()
+        unique_roots: List[str] = []
+        for root in roots:
+            if root and root not in seen:
+                seen.add(root)
+                unique_roots.append(root)
+        return unique_roots

py/services/lora_scanner.py

@@ -25,8 +25,18 @@ class LoraScanner(ModelScanner):
         )
     
     def get_model_roots(self) -> List[str]:
-        """Get lora root directories"""
+        """Get lora root directories (including extra paths)"""
-        return config.loras_roots
+        roots: List[str] = []
+        roots.extend(config.loras_roots or [])
+        roots.extend(config.extra_loras_roots or [])
+        # Remove duplicates while preserving order
+        seen: set = set()
+        unique_roots: List[str] = []
+        for root in roots:
+            if root and root not in seen:
+                seen.add(root)
+                unique_roots.append(root)
+        return unique_roots
 
     async def diagnose_hash_index(self):
         """Diagnostic method to verify hash index functionality"""

py/services/model_scanner.py

@@ -283,6 +283,11 @@ class ModelScanner:
         if sub_type:
             entry['sub_type'] = sub_type
         
+        # Handle hash_status for lazy hash calculation (checkpoints)
+        hash_status = get_value('hash_status', 'completed')
+        if hash_status:
+            entry['hash_status'] = hash_status
+
         return entry
 
     def _ensure_license_flags(self, entry: Dict[str, Any]) -> None:

py/services/settings_manager.py

@@ -54,6 +54,7 @@ DEFAULT_SETTINGS: Dict[str, Any] = {
     "base_model_path_mappings": {},
     "download_path_templates": {},
     "folder_paths": {},
+    "extra_folder_paths": {},
     "example_images_path": "",
     "optimize_example_images": True,
     "auto_download_example_images": False,
@@ -402,6 +403,7 @@ class SettingsManager:
         active_library = libraries.get(active_name, {})
         folder_paths = copy.deepcopy(active_library.get("folder_paths", {}))
         self.settings["folder_paths"] = folder_paths
+        self.settings["extra_folder_paths"] = copy.deepcopy(active_library.get("extra_folder_paths", {}))
         self.settings["default_lora_root"] = active_library.get("default_lora_root", "")
         self.settings["default_checkpoint_root"] = active_library.get("default_checkpoint_root", "")
         self.settings["default_unet_root"] = active_library.get("default_unet_root", "")
@@ -417,6 +419,7 @@ class SettingsManager:
         self,
         *,
         folder_paths: Optional[Mapping[str, Iterable[str]]] = None,
+        extra_folder_paths: Optional[Mapping[str, Iterable[str]]] = None,
         default_lora_root: Optional[str] = None,
         default_checkpoint_root: Optional[str] = None,
         default_unet_root: Optional[str] = None,
@@ -432,6 +435,11 @@ class SettingsManager:
         else:
             payload.setdefault("folder_paths", {})
 
+        if extra_folder_paths is not None:
+            payload["extra_folder_paths"] = self._normalize_folder_paths(extra_folder_paths)
+        else:
+            payload.setdefault("extra_folder_paths", {})
+
         if default_lora_root is not None:
             payload["default_lora_root"] = default_lora_root
         else:
@@ -546,6 +554,7 @@ class SettingsManager:
         self,
         *,
         folder_paths: Optional[Mapping[str, Iterable[str]]] = None,
+        extra_folder_paths: Optional[Mapping[str, Iterable[str]]] = None,
         default_lora_root: Optional[str] = None,
         default_checkpoint_root: Optional[str] = None,
         default_unet_root: Optional[str] = None,
@@ -565,6 +574,12 @@ class SettingsManager:
                 library["folder_paths"] = normalized_paths
                 changed = True
 
+        if extra_folder_paths is not None:
+            normalized_extra_paths = self._normalize_folder_paths(extra_folder_paths)
+            if library.get("extra_folder_paths") != normalized_extra_paths:
+                library["extra_folder_paths"] = normalized_extra_paths
+                changed = True
+
         if default_lora_root is not None and library.get("default_lora_root") != default_lora_root:
             library["default_lora_root"] = default_lora_root
             changed = True
@@ -816,12 +831,14 @@ class SettingsManager:
         defaults['download_path_templates'] = {}
         defaults['priority_tags'] = DEFAULT_PRIORITY_TAG_CONFIG.copy()
         defaults.setdefault('folder_paths', {})
+        defaults.setdefault('extra_folder_paths', {})
         defaults['auto_organize_exclusions'] = []
         defaults['metadata_refresh_skip_paths'] = []
 
         library_name = defaults.get("active_library") or "default"
         default_library = self._build_library_payload(
             folder_paths=defaults.get("folder_paths", {}),
+            extra_folder_paths=defaults.get("extra_folder_paths", {}),
             default_lora_root=defaults.get("default_lora_root"),
             default_checkpoint_root=defaults.get("default_checkpoint_root"),
             default_embedding_root=defaults.get("default_embedding_root"),
@@ -927,6 +944,35 @@ class SettingsManager:
             self._save_settings()
         return skip_paths
 
+    def get_extra_folder_paths(self) -> Dict[str, List[str]]:
+        """Get extra folder paths for the active library.
+
+        These paths are only used by LoRA Manager and not shared with ComfyUI.
+        Returns a dictionary with keys like 'loras', 'checkpoints', 'embeddings', 'unet'.
+        """
+        extra_paths = self.settings.get("extra_folder_paths", {})
+        if not isinstance(extra_paths, dict):
+            return {}
+        return self._normalize_folder_paths(extra_paths)
+
+    def update_extra_folder_paths(
+        self,
+        extra_folder_paths: Mapping[str, Iterable[str]],
+    ) -> None:
+        """Update extra folder paths for the active library.
+
+        These paths are only used by LoRA Manager and not shared with ComfyUI.
+        Validates that extra paths don't overlap with other libraries' paths.
+        """
+        active_name = self.get_active_library_name()
+        self._validate_folder_paths(active_name, extra_folder_paths)
+
+        normalized_paths = self._normalize_folder_paths(extra_folder_paths)
+        self.settings["extra_folder_paths"] = normalized_paths
+        self._update_active_library_entry(extra_folder_paths=normalized_paths)
+        self._save_settings()
+        logger.info("Updated extra folder paths for library '%s'", active_name)
+
     def get_startup_messages(self) -> List[Dict[str, Any]]:
         return [message.copy() for message in self._startup_messages]
 
@@ -973,6 +1019,8 @@ class SettingsManager:
             self._prepare_portable_switch(value)
         if key == 'folder_paths' and isinstance(value, Mapping):
             self._update_active_library_entry(folder_paths=value)  # type: ignore[arg-type]
+        elif key == 'extra_folder_paths' and isinstance(value, Mapping):
+            self._update_active_library_entry(extra_folder_paths=value)  # type: ignore[arg-type]
         elif key == 'default_lora_root':
             self._update_active_library_entry(default_lora_root=str(value))
         elif key == 'default_checkpoint_root':
@@ -1284,6 +1332,7 @@ class SettingsManager:
         library_name: str,
         *,
         folder_paths: Optional[Mapping[str, Iterable[str]]] = None,
+        extra_folder_paths: Optional[Mapping[str, Iterable[str]]] = None,
         default_lora_root: Optional[str] = None,
         default_checkpoint_root: Optional[str] = None,
         default_unet_root: Optional[str] = None,
@@ -1300,11 +1349,15 @@ class SettingsManager:
         if folder_paths is not None:
             self._validate_folder_paths(name, folder_paths)
 
+        if extra_folder_paths is not None:
+            self._validate_folder_paths(name, extra_folder_paths)
+
         libraries = self.settings.setdefault("libraries", {})
         existing = libraries.get(name, {})
 
         payload = self._build_library_payload(
             folder_paths=folder_paths if folder_paths is not None else existing.get("folder_paths"),
+            extra_folder_paths=extra_folder_paths if extra_folder_paths is not None else existing.get("extra_folder_paths"),
             default_lora_root=default_lora_root if default_lora_root is not None else existing.get("default_lora_root"),
             default_checkpoint_root=(
                 default_checkpoint_root
@@ -1343,6 +1396,7 @@ class SettingsManager:
         library_name: str,
         *,
         folder_paths: Mapping[str, Iterable[str]],
+        extra_folder_paths: Optional[Mapping[str, Iterable[str]]] = None,
         default_lora_root: str = "",
         default_checkpoint_root: str = "",
         default_unet_root: str = "",
@@ -1359,6 +1413,7 @@ class SettingsManager:
         return self.upsert_library(
             library_name,
             folder_paths=folder_paths,
+            extra_folder_paths=extra_folder_paths,
             default_lora_root=default_lora_root,
             default_checkpoint_root=default_checkpoint_root,
             default_unet_root=default_unet_root,
@@ -1417,6 +1472,7 @@ class SettingsManager:
         self,
         folder_paths: Mapping[str, Iterable[str]],
         *,
+        extra_folder_paths: Optional[Mapping[str, Iterable[str]]] = None,
         default_lora_root: Optional[str] = None,
         default_checkpoint_root: Optional[str] = None,
         default_unet_root: Optional[str] = None,
@@ -1428,6 +1484,7 @@ class SettingsManager:
         self.upsert_library(
             active_name,
             folder_paths=folder_paths,
+            extra_folder_paths=extra_folder_paths,
             default_lora_root=default_lora_root,
             default_checkpoint_root=default_checkpoint_root,
             default_unet_root=default_unet_root,

py/utils/models.py

@@ -28,6 +28,7 @@ class BaseModelMetadata:
     skip_metadata_refresh: bool = False  # Whether to skip this model during bulk metadata refresh
     metadata_source: Optional[str] = None  # Last provider that supplied metadata
     last_checked_at: float = 0  # Last checked timestamp
+    hash_status: str = "completed"  # Hash calculation status: pending | calculating | completed | failed
     _unknown_fields: Dict[str, Any] = field(default_factory=dict, repr=False, compare=False)  # Store unknown fields
 
     def __post_init__(self):

py/utils/usage_stats.py

@@ -57,6 +57,9 @@ class UsageStats:
             "last_save_time": 0
         }
         
+        # Track if stats have been modified since last save
+        self._is_dirty = False
+        
         # Queue for prompt_ids to process
         self.pending_prompt_ids = set()
         
@@ -180,9 +183,18 @@ class UsageStats:
     async def save_stats(self, force=False):
         """Save statistics to file"""
         try:
-            # Only save if it's been at least save_interval since last save or force is True
+            # Only save if:
+            # 1. force is True, OR
+            # 2. stats have been modified (is_dirty) AND save_interval has passed
             current_time = time.time()
-            if not force and (current_time - self.stats.get("last_save_time", 0)) < self.save_interval:
+            time_since_last_save = current_time - self.stats.get("last_save_time", 0)
+
+            if not force:
+                if not self._is_dirty:
+                    # No changes to save
+                    return False
+                if time_since_last_save < self.save_interval:
+                    # Too soon since last save
                     return False
 
             # Use a lock to prevent concurrent writes
@@ -201,6 +213,9 @@ class UsageStats:
                 # Replace the old file with the new one
                 os.replace(temp_path, self._stats_file_path)
 
+                # Clear dirty flag since we've saved
+                self._is_dirty = False
+
                 logger.debug(f"Saved usage statistics to {self._stats_file_path}")
                 return True
         except Exception as e:
@@ -227,7 +242,13 @@ class UsageStats:
                         self.pending_prompt_ids.clear()
 
                     # Process each prompt_id
+                    try:
                         registry = MetadataRegistry()
+                    except NameError:
+                        # MetadataRegistry not available (standalone mode)
+                        registry = None
+                    
+                    if registry:
                         for prompt_id in prompt_ids:
                             try:
                                 metadata = registry.get_metadata(prompt_id)
@@ -235,7 +256,8 @@ class UsageStats:
                             except Exception as e:
                                 logger.error(f"Error processing prompt_id {prompt_id}: {e}")
 
-                # Periodically save stats
+                # Periodically save stats (only if there are changes)
+                if self._is_dirty:
                     await self.save_stats()
         except asyncio.CancelledError:
             # Task was cancelled, clean up
@@ -257,6 +279,7 @@ class UsageStats:
 
         # Increment total executions count
         self.stats["total_executions"] += 1
+        self._is_dirty = True
         
         # Get today's date in YYYY-MM-DD format
         today = datetime.datetime.now().strftime("%Y-%m-%d")
@@ -374,6 +397,10 @@ class UsageStats:
         if not prompt_id:
             return
 
+        if standalone_mode:
+            # Usage statistics are not available in standalone mode
+            return
+
         try:
             # Process metadata for this prompt_id
             registry = MetadataRegistry()

py/utils/utils.py

@@ -50,6 +50,52 @@ def get_lora_info(lora_name):
         # No event loop is running, we can use asyncio.run()
         return asyncio.run(_get_lora_info_async())
 
+
+def get_lora_info_absolute(lora_name):
+    """Get the absolute lora path and trigger words from cache
+    
+    Returns:
+        tuple: (absolute_path, trigger_words) where absolute_path is the full 
+               file system path to the LoRA file, or original lora_name if not found
+    """
+    async def _get_lora_info_absolute_async():
+        scanner = await ServiceRegistry.get_lora_scanner()
+        cache = await scanner.get_cached_data()
+        
+        for item in cache.raw_data:
+            if item.get('file_name') == lora_name:
+                file_path = item.get('file_path')
+                if file_path:
+                    # Return absolute path directly
+                    # Get trigger words from civitai metadata
+                    civitai = item.get('civitai', {})
+                    trigger_words = civitai.get('trainedWords', []) if civitai else []
+                    return file_path, trigger_words
+        return lora_name, []
+    
+    try:
+        # Check if we're already in an event loop
+        loop = asyncio.get_running_loop()
+        # If we're in a running loop, we need to use a different approach
+        # Create a new thread to run the async code
+        import concurrent.futures
+        
+        def run_in_thread():
+            new_loop = asyncio.new_event_loop()
+            asyncio.set_event_loop(new_loop)
+            try:
+                return new_loop.run_until_complete(_get_lora_info_absolute_async())
+            finally:
+                new_loop.close()
+        
+        with concurrent.futures.ThreadPoolExecutor() as executor:
+            future = executor.submit(run_in_thread)
+            return future.result()
+            
+    except RuntimeError:
+        # No event loop is running, we can use asyncio.run()
+        return asyncio.run(_get_lora_info_absolute_async())
+
 def fuzzy_match(text: str, pattern: str, threshold: float = 0.85) -> bool:
         """
         Check if text matches pattern using fuzzy matching.
@@ -143,7 +189,11 @@ def calculate_recipe_fingerprint(loras):
         if lora.get("exclude", False):
             continue
             
-        hash_value = lora.get("hash", "").lower()
+        hash_value = lora.get("hash", "")
+        if isinstance(hash_value, str):
+            hash_value = hash_value.lower()
+        else:
+            hash_value = str(hash_value).lower() if hash_value else ""
         if not hash_value and lora.get("modelVersionId"):
             hash_value = str(lora.get("modelVersionId"))
 
@@ -151,7 +201,11 @@ def calculate_recipe_fingerprint(loras):
             continue
 
         # Normalize strength to 2 decimal places (check both strength and weight fields)
-        strength = round(float(lora.get("strength", lora.get("weight", 1.0))), 2)
+        strength_val = lora.get("strength", lora.get("weight", 1.0))
+        try:
+            strength = round(float(strength_val), 2)
+        except (ValueError, TypeError):
+            strength = 1.0
         
         valid_loras.append((hash_value, strength))
     

static/css/components/card.css

@@ -282,7 +282,7 @@
     display: flex;
     justify-content: space-between;
     align-items: flex-start;  /* Changed from flex-end to allow for text wrapping */
-    min-height: 32px;
+    min-height: auto;
     gap: var(--space-1);  /* Add gap between model info and actions */
 }
 
@@ -413,7 +413,7 @@
     font-size: 0.95em;
     word-break: break-word;
     display: block;
-    max-height: 3em; /* Increased to ensure two full lines */
+    max-height: 4.2em; /* Allow up to 3 lines */
     overflow: hidden;
     /* Add line height for consistency */
     line-height: 1.4;

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

@@ -392,6 +392,7 @@
     border: 1px solid transparent;
     outline: none;
     flex: 1;
+    overflow-wrap: anywhere; /* Allow wrapping at any character, including hyphens */
 }
 
 .model-name-content:focus {

static/css/components/modal/settings-modal.css

@@ -1,4 +1,4 @@
-/* Settings styles */
+/* Settings Modal - macOS Settings Style */
 .settings-toggle {
     width: 36px;
     height: 36px;
@@ -20,15 +20,207 @@
 }
 
 .settings-modal {
-    max-width: 700px; /* Further increased from 600px for more space */
+    width: 1000px;
+    height: calc(92vh - var(--header-height, 48px));
+    max-width: 95vw;
+    max-height: 90vh;
+    display: flex;
+    flex-direction: column;
+}
+
+.settings-modal .modal-body {
+    display: flex;
+    flex-direction: row;
+    flex: 1;
+    overflow: hidden;
+    min-height: 0;
+}
+
+/* Navigation Sidebar */
+.settings-nav {
+    width: 200px;
+    flex-shrink: 0;
+    border-right: 1px solid var(--lora-border);
+    padding: var(--space-2);
+    overflow-y: auto;
+}
+
+[data-theme="dark"] .settings-nav {
+    background: transparent;
+}
+
+.settings-nav-list {
+    list-style: none;
+    padding: 0;
+    margin: 0;
+}
+
+.settings-nav-group {
+    margin-bottom: var(--space-2);
+}
+
+/* Hide group titles - we use flat navigation */
+.settings-nav-group-title {
+    display: none;
+}
+
+/* Hide settings title */
+.settings-nav-title {
+    display: none;
+}
+
+.settings-nav-item {
+    display: block;
+    width: 100%;
+    padding: 10px 14px;
+    border: none;
+    background: transparent;
+    color: var(--text-color);
+    text-align: left;
+    font-size: 14px;
+    font-weight: 500;
+    cursor: pointer;
+    border-radius: var(--border-radius-xs);
+    transition: all 0.2s ease;
+    margin-bottom: 4px;
+}
+
+.settings-nav-item:hover {
+    background: rgba(var(--lora-accent-rgb, 79, 70, 229), 0.1);
+    color: var(--lora-accent);
+}
+
+.settings-nav-item.active {
+    background: var(--lora-accent);
+    color: white;
+    font-weight: 600;
+}
+
+/* Content Area */
+.settings-content {
+    flex: 1;
+    overflow-y: auto;
+    padding: var(--space-3);
+    scroll-behavior: smooth;
+}
+
+.settings-content .settings-form {
+    padding-bottom: var(--space-4);
 }
 
 .settings-header {
     display: flex;
     align-items: center;
-    justify-content: flex-start;
     gap: var(--space-1);
     margin-bottom: var(--space-2);
+    padding-right: 40px; /* Space for close button */
+    padding-left: calc(var(--space-2) + 14px); /* Align with nav item text */
+}
+
+.settings-header .settings-search-wrapper {
+    margin-left: auto;
+}
+
+/* Search Input Styles */
+.settings-search-wrapper {
+    position: relative;
+    display: flex;
+    align-items: center;
+    width: 240px;
+}
+
+.settings-search-icon {
+    position: absolute;
+    left: 10px;
+    color: var(--text-color);
+    opacity: 0.5;
+    font-size: 0.9em;
+    pointer-events: none;
+}
+
+.settings-search-input {
+    width: 100%;
+    padding: 6px 28px 6px 32px;
+    height: 32px;
+    border-radius: var(--border-radius-xs);
+    border: 1px solid var(--border-color);
+    background-color: var(--lora-surface);
+    color: var(--text-color);
+    font-size: 0.9em;
+    transition: all 0.2s ease;
+}
+
+.settings-search-input:focus {
+    border-color: var(--lora-accent);
+    outline: none;
+    box-shadow: 0 0 0 2px rgba(var(--lora-accent-rgb, 79, 70, 229), 0.1);
+}
+
+.settings-search-input::placeholder {
+    color: var(--text-color);
+    opacity: 0.5;
+}
+
+.settings-search-clear {
+    position: absolute;
+    right: 6px;
+    width: 20px;
+    height: 20px;
+    border: none;
+    background: rgba(var(--border-color-rgb, 148, 163, 184), 0.3);
+    color: var(--text-color);
+    border-radius: 50%;
+    cursor: pointer;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    font-size: 0.7em;
+    opacity: 0.6;
+    transition: all 0.2s ease;
+}
+
+.settings-search-clear:hover {
+    opacity: 1;
+    background: rgba(var(--border-color-rgb, 148, 163, 184), 0.5);
+}
+
+/* Search Highlight Styles */
+.settings-search-highlight {
+    background-color: rgba(var(--lora-accent-rgb, 79, 70, 229), 0.3);
+    color: var(--lora-accent);
+    padding: 0 2px;
+    border-radius: 2px;
+    font-weight: 500;
+}
+
+/* Section visibility during search */
+.settings-section.search-match,
+.setting-item.search-match {
+    display: block !important;
+}
+
+.settings-section.search-hidden,
+.setting-item.search-hidden {
+    display: none !important;
+}
+
+/* Empty search results state */
+.settings-search-empty {
+    text-align: center;
+    padding: var(--space-4);
+    color: var(--text-color);
+    opacity: 0.7;
+}
+
+.settings-search-empty i {
+    font-size: 2em;
+    margin-bottom: var(--space-2);
+    opacity: 0.5;
+}
+
+.settings-search-empty p {
+    margin: 0;
+    font-size: 0.95em;
 }
 
 .settings-header h2 {
@@ -248,11 +440,32 @@
     gap: var(--space-2);
 }
 
-.priority-tags-header {
+.priority-tags-header-row {
+    display: flex;
+    flex-direction: row;
     align-items: center;
     justify-content: flex-start;
 }
 
+.priority-tags-header-row .setting-info {
+    width: auto;
+    flex-shrink: 0;
+}
+
+.priority-tags-header {
+    display: flex;
+    flex-direction: row;
+    align-items: center;
+    justify-content: flex-start;
+    gap: 8px;
+    width: auto;
+}
+
+.priority-tags-header label {
+    display: inline-flex;
+    white-space: nowrap;
+}
+
 .priority-tags-info {
     display: flex;
     align-items: center;
@@ -360,25 +573,65 @@
     padding: 6px 0;
 }
 
-/* Settings Styles */
+/* Settings Section - macOS Settings Style */
 .settings-section {
-    margin-top: var(--space-3);
+    display: none;
-    border-top: 1px solid var(--lora-border);
+    animation: fadeIn 0.2s ease-out;
-    padding-top: var(--space-2);
 }
 
-.settings-section h3 {
+.settings-section.active {
-    font-size: 1.1em;
+    display: block;
+}
+
+@keyframes fadeIn {
+    from {
+        opacity: 0;
+        transform: translateX(10px);
+    }
+    to {
+        opacity: 1;
+        transform: translateX(0);
+    }
+}
+
+/* Remove old section header - replaced by subsection headers */
+.settings-section-header {
+    display: none;
+}
+
+/* Subsection styling */
+.settings-subsection {
+    margin-bottom: var(--space-5);
+}
+
+.settings-subsection:last-child {
+    margin-bottom: 0;
+}
+
+.settings-subsection-header {
+    display: flex;
+    align-items: center;
+    padding: var(--space-2) 0;
     margin-bottom: var(--space-2);
+    border-bottom: 1px solid var(--lora-border);
+}
+
+.settings-subsection-header h4 {
+    font-size: 18px;
+    font-weight: 700;
+    margin: 0;
     color: var(--text-color);
-    opacity: 0.9;
+}
+
+/* Remove toggle button styles */
+.settings-section-toggle {
+    display: none;
 }
 
 .setting-item {
     display: flex;
     flex-direction: column; /* Changed to column for help text placement */
-    margin-bottom: var(--space-3); /* Increased to provide more spacing between items */
+    padding: var(--space-2);
-    padding: var(--space-1);
     border-radius: var(--border-radius-xs);
 }
 
@@ -390,6 +643,8 @@
     background: rgba(255, 255, 255, 0.05);
 }
 
+
+
 /* Control row with label and input together */
 .setting-row {
     display: flex;
@@ -403,13 +658,16 @@
     margin-bottom: 0;
     width: 35%; /* Increased from 30% to prevent wrapping */
     flex-shrink: 0; /* Prevent shrinking */
+    display: flex; /* Allow label and info-icon to be on same line */
+    align-items: center;
 }
 
 .setting-info label {
-    display: block;
+    font-weight: 400;
-    font-weight: 500;
     margin-bottom: 0;
     white-space: nowrap; /* Prevent label wrapping */
+    /* Use text color with alpha instead of opacity to avoid affecting tooltip */
+    color: rgba(from var(--text-color) r g b / 0.85);
 }
 
 .setting-control {
@@ -701,6 +959,66 @@ input:checked + .toggle-slider:before {
     }
 }
 
+/* Responsive: Mobile - Single column layout */
+@media (max-width: 768px) {
+    .settings-modal {
+        width: 95vw;
+        max-height: 90vh;
+    }
+    
+    .settings-modal .modal-body {
+        flex-direction: column;
+    }
+    
+    .settings-header {
+        flex-direction: column;
+        align-items: flex-start;
+        gap: var(--space-2);
+    }
+
+    .settings-header .settings-search-wrapper {
+        margin-left: 0;
+        width: 100%;
+    }
+    
+    .settings-nav {
+        width: 100%;
+        max-height: 200px;
+        border-right: none;
+        border-bottom: 1px solid var(--lora-border);
+        padding: var(--space-1);
+    }
+    
+    .settings-nav-list {
+        display: flex;
+        flex-wrap: wrap;
+        gap: var(--space-1);
+    }
+    
+    .settings-nav-group {
+        display: flex;
+        flex-wrap: wrap;
+        gap: var(--space-1);
+        margin-bottom: 0;
+    }
+    
+    .settings-nav-group-title {
+        display: none;
+    }
+    
+    .settings-nav-item {
+        width: auto;
+        white-space: nowrap;
+        font-size: 0.85em;
+        padding: 6px 10px;
+        margin-bottom: 0;
+    }
+    
+    .settings-content {
+        padding: var(--space-2);
+    }
+}
+
 /* Dark theme specific adjustments */
 [data-theme="dark"] .base-model-select,
 [data-theme="dark"] .path-value-input {
@@ -827,3 +1145,126 @@ input:checked + .toggle-slider:before {
         margin-top: var(--space-2);
     }
 }
+
+/* Info icon styling for settings labels - Minimal style */
+.info-icon {
+    color: var(--text-color);
+    margin-left: 6px;
+    font-size: 0.85em;
+    vertical-align: text-bottom;
+    cursor: help;
+    opacity: 0.4;
+    transition: opacity 0.2s ease;
+}
+
+.info-icon:hover {
+    opacity: 1;
+}
+
+/* Tooltip using data-tooltip attribute */
+.info-icon[data-tooltip] {
+    position: relative;
+}
+
+.info-icon[data-tooltip]::after {
+    content: attr(data-tooltip);
+    position: absolute;
+    bottom: calc(100% + 8px);
+    background: rgba(0, 0, 0, 0.9);
+    color: white;
+    padding: 8px 12px;
+    border-radius: 6px;
+    font-size: 14px;
+    font-weight: normal;
+    font-family: 'Segoe UI', system-ui, -apple-system, sans-serif;
+    white-space: normal;
+    max-width: 220px;
+    width: max-content;
+    opacity: 0;
+    visibility: hidden;
+    transition: opacity 0.2s ease, visibility 0.2s ease;
+    pointer-events: none;
+    z-index: 10000;
+    line-height: 1.4;
+    box-shadow: 0 4px 12px rgba(0, 0, 0, 0.3);
+    text-transform: none;
+}
+
+.info-icon[data-tooltip]:hover::after {
+    opacity: 1;
+    visibility: visible;
+}
+
+/* Fix tooltip overflow on left edge - when icon is near left side of modal */
+.settings-subsection-header .info-icon[data-tooltip]::after {
+    left: 0;
+    transform: translateX(0);
+}
+
+.settings-subsection-header .info-icon[data-tooltip]::before {
+    left: 12px;
+}
+
+/* Dark theme adjustments for tooltip - Fully opaque */
+[data-theme="dark"] .info-icon[data-tooltip]::after {
+    background: rgba(40, 40, 40, 0.95);
+    box-shadow: 0 4px 12px rgba(0, 0, 0, 0.5);
+}
+
+/* Extra Folder Paths - Single input layout */
+.extra-folder-path-row {
+    margin-bottom: var(--space-2);
+}
+
+.extra-folder-path-row:last-child {
+    margin-bottom: 0;
+}
+
+.extra-folder-paths-container {
+    margin-top: var(--space-2);
+}
+
+.extra-folder-path-row .path-controls {
+    display: flex;
+    gap: var(--space-2);
+    align-items: center;
+}
+
+.extra-folder-path-row .path-controls .extra-folder-path-input {
+    flex: 1;
+    min-width: 0;
+    padding: 6px 10px;
+    border-radius: var(--border-radius-xs);
+    border: 1px solid var(--border-color);
+    background-color: var(--lora-surface);
+    color: var(--text-color);
+    font-size: 0.9em;
+    height: 32px;
+    box-sizing: border-box;
+}
+
+.extra-folder-path-row .path-controls .extra-folder-path-input:focus {
+    border-color: var(--lora-accent);
+    outline: none;
+    box-shadow: 0 0 0 2px rgba(var(--lora-accent-rgb, 79, 70, 229), 0.1);
+}
+
+.extra-folder-path-row .path-controls .remove-path-btn {
+    width: 32px;
+    height: 32px;
+    border-radius: var(--border-radius-xs);
+    border: 1px solid var(--lora-error);
+    background: transparent;
+    color: var(--lora-error);
+    cursor: pointer;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    transition: all 0.2s;
+    flex-shrink: 0;
+}
+
+.extra-folder-path-row .path-controls .remove-path-btn:hover {
+    background: var(--lora-error);
+    color: white;
+}

static/js/components/shared/ModelCard.js

@@ -633,7 +633,7 @@ export function createModelCard(model, modelType) {
             ` : ''}
             <div class="card-footer">
                 <div class="model-info">
-                    <span class="model-name">${getDisplayName(model)}</span>
+                    <span class="model-name" title="${getDisplayName(model).replace(/"/g, '&quot;')}">${getDisplayName(model)}</span>
                     <div>
                         ${model.civitai?.name ? `<span class="version-name">${model.civitai.name}</span>` : ''}
                         ${hasUsageCount ? `<span class="version-name" title="${translate('modelCard.usage.timesUsed', {}, 'Times used')}">${model.usage_count}×</span>` : ''}

static/js/components/shared/TriggerWords.js

@@ -530,7 +530,7 @@ function addNewTriggerWord(word) {
 
     // Validation: Check total number
     const currentTags = tagsContainer.querySelectorAll('.trigger-word-tag');
-    if (currentTags.length >= 30) {
+    if (currentTags.length >= 100) {
         showToast('toast.triggerWords.tooMany', {}, 'error');
         return;
     }

static/js/managers/SettingsManager.js

@@ -364,10 +364,283 @@ export class SettingsManager {
         }
 
         this.setupPriorityTagInputs();
+        this.initializeNavigation();
+        this.initializeSearch();
 
         this.initialized = true;
     }
 
+    initializeNavigation() {
+        const navItems = document.querySelectorAll('.settings-nav-item');
+        const sections = document.querySelectorAll('.settings-section');
+
+        if (navItems.length === 0 || sections.length === 0) return;
+
+        // Handle navigation item clicks - macOS Settings style: show section instead of scroll
+        navItems.forEach(item => {
+            item.addEventListener('click', (e) => {
+                const sectionId = item.dataset.section;
+                if (!sectionId) return;
+
+                // Hide all sections
+                sections.forEach(section => {
+                    section.classList.remove('active');
+                });
+
+                // Show target section
+                const targetSection = document.getElementById(`section-${sectionId}`);
+                if (targetSection) {
+                    targetSection.classList.add('active');
+                }
+
+                // Update active nav state
+                navItems.forEach(nav => nav.classList.remove('active'));
+                item.classList.add('active');
+            });
+        });
+
+        // Show first section by default
+        const firstSection = sections[0];
+        if (firstSection) {
+            firstSection.classList.add('active');
+        }
+    }
+
+    initializeSearch() {
+        const searchInput = document.getElementById('settingsSearchInput');
+        const searchClear = document.getElementById('settingsSearchClear');
+        
+        if (!searchInput) return;
+
+        // Debounced search handler
+        let searchTimeout;
+        const debouncedSearch = (query) => {
+            clearTimeout(searchTimeout);
+            searchTimeout = setTimeout(() => {
+                this.performSearch(query);
+            }, 150);
+        };
+
+        // Handle input changes
+        searchInput.addEventListener('input', (e) => {
+            const query = e.target.value.trim();
+            
+            // Show/hide clear button
+            if (searchClear) {
+                searchClear.style.display = query ? 'flex' : 'none';
+            }
+            
+            debouncedSearch(query);
+        });
+
+        // Handle clear button click
+        if (searchClear) {
+            searchClear.addEventListener('click', () => {
+                searchInput.value = '';
+                searchClear.style.display = 'none';
+                searchInput.focus();
+                this.performSearch('');
+            });
+        }
+
+        // Handle Escape key to clear search
+        searchInput.addEventListener('keydown', (e) => {
+            if (e.key === 'Escape') {
+                if (searchInput.value) {
+                    searchInput.value = '';
+                    if (searchClear) searchClear.style.display = 'none';
+                    this.performSearch('');
+                }
+            }
+        });
+    }
+
+    performSearch(query) {
+        const sections = document.querySelectorAll('.settings-section');
+        const navItems = document.querySelectorAll('.settings-nav-item');
+        const settingsForm = document.querySelector('.settings-form');
+        
+        // Remove existing empty state
+        const existingEmptyState = settingsForm?.querySelector('.settings-search-empty');
+        if (existingEmptyState) {
+            existingEmptyState.remove();
+        }
+
+        if (!query) {
+            // Reset: remove highlights only, keep current section visible
+            sections.forEach(section => {
+                this.removeSearchHighlights(section);
+            });
+            return;
+        }
+
+        const lowerQuery = query.toLowerCase();
+        let firstMatchSection = null;
+        let firstMatchElement = null;
+        let matchCount = 0;
+
+        sections.forEach(section => {
+            const sectionText = this.getSectionSearchableText(section);
+            const hasMatch = sectionText.includes(lowerQuery);
+
+            if (hasMatch) {
+                const firstHighlight = this.highlightSearchMatches(section, lowerQuery);
+                matchCount++;
+                
+                // Track first match to auto-switch
+                if (!firstMatchSection) {
+                    firstMatchSection = section;
+                    firstMatchElement = firstHighlight;
+                }
+            } else {
+                this.removeSearchHighlights(section);
+            }
+        });
+
+        // Auto-switch to first matching section
+        if (firstMatchSection) {
+            const sectionId = firstMatchSection.id.replace('section-', '');
+            
+            // Hide all sections
+            sections.forEach(section => section.classList.remove('active'));
+            
+            // Show matching section
+            firstMatchSection.classList.add('active');
+            
+            // Update nav active state
+            navItems.forEach(item => {
+                item.classList.remove('active');
+                if (item.dataset.section === sectionId) {
+                    item.classList.add('active');
+                }
+            });
+
+            // Scroll to first match after a short delay to allow section to become visible
+            if (firstMatchElement) {
+                requestAnimationFrame(() => {
+                    firstMatchElement.scrollIntoView({
+                        behavior: 'smooth',
+                        block: 'center'
+                    });
+                });
+            }
+        }
+
+        // Show empty state if no matches found
+        if (matchCount === 0 && settingsForm) {
+            const emptyState = document.createElement('div');
+            emptyState.className = 'settings-search-empty';
+            emptyState.innerHTML = `
+                <i class="fas fa-search"></i>
+                <p>${translate('settings.search.noResults', { query }, `No settings found matching "${query}"`)}</p>
+            `;
+            settingsForm.appendChild(emptyState);
+        }
+    }
+
+    getSectionSearchableText(section) {
+        // Get all text content from labels, help text, and headers
+        const labels = section.querySelectorAll('label');
+        const helpTexts = section.querySelectorAll('.input-help');
+        const headers = section.querySelectorAll('h3');
+        
+        let text = '';
+        
+        labels.forEach(el => text += ' ' + el.textContent);
+        helpTexts.forEach(el => text += ' ' + el.textContent);
+        headers.forEach(el => text += ' ' + el.textContent);
+        
+        return text.toLowerCase();
+    }
+
+    highlightSearchMatches(section, query) {
+        // Remove existing highlights first
+        this.removeSearchHighlights(section);
+        
+        if (!query) return null;
+
+        // Highlight in labels and help text
+        const textElements = section.querySelectorAll('label, .input-help, h3');
+        let firstHighlight = null;
+        
+        textElements.forEach(element => {
+            const walker = document.createTreeWalker(
+                element,
+                NodeFilter.SHOW_TEXT,
+                null,
+                false
+            );
+            
+            const textNodes = [];
+            let node;
+            while (node = walker.nextNode()) {
+                if (node.textContent.toLowerCase().includes(query)) {
+                    textNodes.push(node);
+                }
+            }
+            
+            textNodes.forEach(textNode => {
+                const parent = textNode.parentElement;
+                const text = textNode.textContent;
+                const lowerText = text.toLowerCase();
+                
+                // Split text by query and wrap matches in highlight spans
+                const parts = [];
+                let lastIndex = 0;
+                let index;
+                
+                while ((index = lowerText.indexOf(query, lastIndex)) !== -1) {
+                    // Add text before match
+                    if (index > lastIndex) {
+                        parts.push(document.createTextNode(text.substring(lastIndex, index)));
+                    }
+                    
+                    // Add highlighted match
+                    const highlight = document.createElement('span');
+                    highlight.className = 'settings-search-highlight';
+                    highlight.textContent = text.substring(index, index + query.length);
+                    parts.push(highlight);
+                    
+                    // Track first highlight for scrolling
+                    if (!firstHighlight) {
+                        firstHighlight = highlight;
+                    }
+                    
+                    lastIndex = index + query.length;
+                }
+                
+                // Add remaining text
+                if (lastIndex < text.length) {
+                    parts.push(document.createTextNode(text.substring(lastIndex)));
+                }
+                
+                // Replace original text node with highlighted version
+                if (parts.length > 1) {
+                    parts.forEach(part => parent.insertBefore(part, textNode));
+                    parent.removeChild(textNode);
+                }
+            });
+        });
+        
+        return firstHighlight;
+    }
+
+    removeSearchHighlights(section) {
+        const highlights = section.querySelectorAll('.settings-search-highlight');
+        
+        highlights.forEach(highlight => {
+            const parent = highlight.parentElement;
+            if (parent) {
+                // Replace highlight with its text content
+                parent.insertBefore(document.createTextNode(highlight.textContent), highlight);
+                parent.removeChild(highlight);
+                
+                // Normalize to merge adjacent text nodes
+                parent.normalize();
+            }
+        });
+    }
+
     async openSettingsFileLocation() {
         try {
             const response = await fetch('/api/lm/settings/open-location', {
@@ -526,6 +799,9 @@ export class SettingsManager {
         // Load default unet root
         await this.loadUnetRoots();
 
+        // Load extra folder paths
+        this.loadExtraFolderPaths();
+
         // Load language setting
         const languageSelect = document.getElementById('languageSelect');
         if (languageSelect) {
@@ -1028,6 +1304,119 @@ export class SettingsManager {
         }
     }
 
+    loadExtraFolderPaths() {
+        const extraFolderPaths = state.global.settings.extra_folder_paths || {};
+
+        // Load paths for each model type
+        ['loras', 'checkpoints', 'unet', 'embeddings'].forEach((modelType) => {
+            const container = document.getElementById(`extraFolderPaths-${modelType}`);
+            if (!container) return;
+
+            // Clear existing paths
+            container.innerHTML = '';
+
+            // Add existing paths
+            const paths = extraFolderPaths[modelType] || [];
+            paths.forEach((path) => {
+                this.addExtraFolderPathRow(modelType, path);
+            });
+
+            // Add empty row for new path if no paths exist
+            if (paths.length === 0) {
+                this.addExtraFolderPathRow(modelType, '');
+            }
+        });
+    }
+
+    addExtraFolderPathRow(modelType, path = '') {
+        const container = document.getElementById(`extraFolderPaths-${modelType}`);
+        if (!container) return;
+
+        const row = document.createElement('div');
+        row.className = 'extra-folder-path-row mapping-row';
+
+        row.innerHTML = `
+            <div class="path-controls">
+                <input type="text" class="extra-folder-path-input"
+                       placeholder="${translate('settings.extraFolderPaths.pathPlaceholder', {}, '/path/to/models')}" value="${path}"
+                       onblur="settingsManager.updateExtraFolderPaths('${modelType}')"
+                       onkeydown="if(event.key === 'Enter') { this.blur(); }" />
+                <button type="button" class="remove-path-btn"
+                        onclick="this.parentElement.parentElement.remove(); settingsManager.updateExtraFolderPaths('${modelType}')"
+                        title="${translate('common.actions.delete', {}, 'Delete')}">
+                    <i class="fas fa-times"></i>
+                </button>
+            </div>
+        `;
+
+        container.appendChild(row);
+
+        // Focus the input if it's empty (new row)
+        if (!path) {
+            const input = row.querySelector('.extra-folder-path-input');
+            if (input) {
+                setTimeout(() => input.focus(), 0);
+            }
+        }
+    }
+
+    async updateExtraFolderPaths(changedModelType) {
+        const extraFolderPaths = {};
+
+        // Collect paths for all model types
+        ['loras', 'checkpoints', 'unet', 'embeddings'].forEach((modelType) => {
+            const container = document.getElementById(`extraFolderPaths-${modelType}`);
+            if (!container) return;
+
+            const inputs = container.querySelectorAll('.extra-folder-path-input');
+            const paths = [];
+
+            inputs.forEach((input) => {
+                const value = input.value.trim();
+                if (value) {
+                    paths.push(value);
+                }
+            });
+
+            extraFolderPaths[modelType] = paths;
+        });
+
+        // Check if paths have actually changed
+        const currentPaths = state.global.settings.extra_folder_paths || {};
+        const pathsChanged = JSON.stringify(currentPaths) !== JSON.stringify(extraFolderPaths);
+
+        if (!pathsChanged) {
+            return;
+        }
+
+        // Update state
+        state.global.settings.extra_folder_paths = extraFolderPaths;
+
+        try {
+            // Save to backend - this triggers path validation
+            await this.saveSetting('extra_folder_paths', extraFolderPaths);
+            showToast('toast.settings.settingsUpdated', { setting: 'Extra Folder Paths' }, 'success');
+
+            // Add empty row if no valid paths exist for the changed type
+            const container = document.getElementById(`extraFolderPaths-${changedModelType}`);
+            if (container) {
+                const inputs = container.querySelectorAll('.extra-folder-path-input');
+                const hasEmptyRow = Array.from(inputs).some((input) => !input.value.trim());
+
+                if (!hasEmptyRow) {
+                    this.addExtraFolderPathRow(changedModelType, '');
+                }
+            }
+        } catch (error) {
+            console.error('Failed to save extra folder paths:', error);
+            showToast('toast.settings.settingSaveFailed', { message: error.message }, 'error');
+
+            // Restore previous state on error
+            state.global.settings.extra_folder_paths = currentPaths;
+            this.loadExtraFolderPaths();
+        }
+    }
+
     loadBaseModelMappings() {
         const mappingsContainer = document.getElementById('baseModelMappingsContainer');
         if (!mappingsContainer) return;

static/js/utils/uiHelpers.js

@@ -457,6 +457,14 @@ function getWidgetNames(node) {
   return [];
 }
 
+function isNodeEnabled(node) {
+  if (!node) {
+    return false;
+  }
+  // ComfyUI node mode: 0 = Normal/Enabled, others = Always/Never/OnEvent
+  return node.mode === undefined || node.mode === 0;
+}
+
 function isAbsolutePath(path) {
   if (typeof path !== 'string') {
     return false;
@@ -507,7 +515,7 @@ export async function sendLoraToWorkflow(loraSyntax, replaceMode = false, syntax
   }
 
   const loraNodes = filterRegistryNodes(registry.nodes, (node) => {
-    if (!node) {
+    if (!isNodeEnabled(node)) {
       return false;
     }
     if (node.capabilities && typeof node.capabilities === 'object') {
@@ -569,6 +577,9 @@ export async function sendModelPathToWorkflow(modelPath, options) {
   }
 
   const targetNodes = filterRegistryNodes(registry.nodes, (node) => {
+    if (!isNodeEnabled(node)) {
+      return false;
+    }
     const widgetNames = getWidgetNames(node);
     return widgetNames.includes(widgetName);
   });

tests/config/test_config_save_paths.py

@@ -215,3 +215,110 @@ def test_save_paths_removes_template_default_library(monkeypatch, tmp_path):
     )
     assert payload["metadata"] == {"display_name": "ComfyUI", "source": "comfyui"}
     assert payload["activate"] is True
+
+
+def test_apply_library_settings_merges_extra_paths(monkeypatch, tmp_path):
+    """Test that apply_library_settings correctly merges folder_paths with extra_folder_paths."""
+    loras_dir = tmp_path / "loras"
+    extra_loras_dir = tmp_path / "extra_loras"
+    checkpoints_dir = tmp_path / "checkpoints"
+    extra_checkpoints_dir = tmp_path / "extra_checkpoints"
+    embeddings_dir = tmp_path / "embeddings"
+    extra_embeddings_dir = tmp_path / "extra_embeddings"
+
+    for directory in (loras_dir, extra_loras_dir, checkpoints_dir, extra_checkpoints_dir, embeddings_dir, extra_embeddings_dir):
+        directory.mkdir()
+
+    config_instance = config_module.Config()
+
+    folder_paths = {
+        "loras": [str(loras_dir)],
+        "checkpoints": [str(checkpoints_dir)],
+        "unet": [],
+        "embeddings": [str(embeddings_dir)],
+    }
+    extra_folder_paths = {
+        "loras": [str(extra_loras_dir)],
+        "checkpoints": [str(extra_checkpoints_dir)],
+        "unet": [],
+        "embeddings": [str(extra_embeddings_dir)],
+    }
+
+    library_config = {
+        "folder_paths": folder_paths,
+        "extra_folder_paths": extra_folder_paths,
+    }
+
+    config_instance.apply_library_settings(library_config)
+
+    assert str(loras_dir) in config_instance.loras_roots
+    assert str(extra_loras_dir) in config_instance.extra_loras_roots
+    assert str(checkpoints_dir) in config_instance.base_models_roots
+    assert str(extra_checkpoints_dir) in config_instance.extra_checkpoints_roots
+    assert str(embeddings_dir) in config_instance.embeddings_roots
+    assert str(extra_embeddings_dir) in config_instance.extra_embeddings_roots
+
+
+def test_apply_library_settings_without_extra_paths(monkeypatch, tmp_path):
+    """Test that apply_library_settings works when extra_folder_paths is not provided."""
+    loras_dir = tmp_path / "loras"
+    checkpoints_dir = tmp_path / "checkpoints"
+    embeddings_dir = tmp_path / "embeddings"
+
+    for directory in (loras_dir, checkpoints_dir, embeddings_dir):
+        directory.mkdir()
+
+    config_instance = config_module.Config()
+
+    folder_paths = {
+        "loras": [str(loras_dir)],
+        "checkpoints": [str(checkpoints_dir)],
+        "unet": [],
+        "embeddings": [str(embeddings_dir)],
+    }
+
+    library_config = {
+        "folder_paths": folder_paths,
+    }
+
+    config_instance.apply_library_settings(library_config)
+
+    assert str(loras_dir) in config_instance.loras_roots
+    assert config_instance.extra_loras_roots == []
+    assert str(checkpoints_dir) in config_instance.base_models_roots
+    assert config_instance.extra_checkpoints_roots == []
+    assert str(embeddings_dir) in config_instance.embeddings_roots
+    assert config_instance.extra_embeddings_roots == []
+
+
+def test_extra_paths_deduplication(monkeypatch, tmp_path):
+    """Test that extra paths are stored separately from main paths in Config."""
+    loras_dir = tmp_path / "loras"
+    extra_loras_dir = tmp_path / "extra_loras"
+    loras_dir.mkdir()
+    extra_loras_dir.mkdir()
+
+    config_instance = config_module.Config()
+
+    folder_paths = {
+        "loras": [str(loras_dir)],
+        "checkpoints": [],
+        "unet": [],
+        "embeddings": [],
+    }
+    extra_folder_paths = {
+        "loras": [str(extra_loras_dir)],
+        "checkpoints": [],
+        "unet": [],
+        "embeddings": [],
+    }
+
+    library_config = {
+        "folder_paths": folder_paths,
+        "extra_folder_paths": extra_folder_paths,
+    }
+
+    config_instance.apply_library_settings(library_config)
+
+    assert config_instance.loras_roots == [str(loras_dir)]
+    assert config_instance.extra_loras_roots == [str(extra_loras_dir)]

tests/conftest.py

@@ -74,11 +74,15 @@ sys.modules['folder_paths'] = folder_paths_mock
 # Mock other ComfyUI modules that might be imported
 comfy_mock = MockModule("comfy")
 comfy_mock.utils = MockModule("comfy.utils")
+comfy_mock.utils.load_torch_file = mock.MagicMock(return_value={})
+comfy_mock.sd = MockModule("comfy.sd")
+comfy_mock.sd.load_lora_for_models = mock.MagicMock(return_value=(None, None))
 comfy_mock.model_management = MockModule("comfy.model_management")
 comfy_mock.comfy_types = MockModule("comfy.comfy_types")
 comfy_mock.comfy_types.IO = mock.MagicMock()
 sys.modules['comfy'] = comfy_mock
 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
 

tests/services/test_checkpoint_lazy_hash.py

@@ -0,0 +1,271 @@
+"""Tests for checkpoint lazy hash calculation feature."""
+
+import json
+import os
+from pathlib import Path
+from typing import List
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+from py.services import model_scanner
+from py.services.checkpoint_scanner import CheckpointScanner
+from py.services.model_scanner import ModelScanner
+from py.utils.models import CheckpointMetadata
+
+
+class RecordingWebSocketManager:
+    def __init__(self) -> None:
+        self.payloads: List[dict] = []
+
+    async def broadcast_init_progress(self, payload: dict) -> None:
+        self.payloads.append(payload)
+
+
+def _normalize(path: Path) -> str:
+    return str(path).replace(os.sep, "/")
+
+
+@pytest.fixture(autouse=True)
+def reset_model_scanner_singletons():
+    ModelScanner._instances.clear()
+    ModelScanner._locks.clear()
+    yield
+    ModelScanner._instances.clear()
+    ModelScanner._locks.clear()
+
+
+@pytest.mark.asyncio
+async def test_checkpoint_default_metadata_has_pending_hash(tmp_path: Path, monkeypatch):
+    """Test that checkpoint metadata is created with hash_status='pending' and empty sha256."""
+    checkpoints_root = tmp_path / "checkpoints"
+    checkpoints_root.mkdir()
+
+    # Create a fake checkpoint file (small for testing)
+    checkpoint_file = checkpoints_root / "test_model.safetensors"
+    checkpoint_file.write_text("fake checkpoint content", encoding="utf-8")
+
+    normalized_root = _normalize(checkpoints_root)
+    normalized_file = _normalize(checkpoint_file)
+
+    monkeypatch.setattr(
+        model_scanner.config,
+        "base_models_roots",
+        [normalized_root],
+        raising=False,
+    )
+    monkeypatch.setattr(
+        model_scanner.config,
+        "checkpoints_roots",
+        [normalized_root],
+        raising=False,
+    )
+
+    scanner = CheckpointScanner()
+    
+    # Create default metadata
+    metadata = await scanner._create_default_metadata(normalized_file)
+    
+    assert metadata is not None
+    assert metadata.sha256 == "", "sha256 should be empty for lazy hash"
+    assert metadata.hash_status == "pending", "hash_status should be 'pending'"
+    assert metadata.from_civitai is False, "from_civitai should be False for local models"
+    assert metadata.file_name == "test_model"
+
+
+@pytest.mark.asyncio
+async def test_checkpoint_metadata_saved_to_disk_with_pending_status(tmp_path: Path, monkeypatch):
+    """Test that pending metadata is saved to .metadata.json file."""
+    checkpoints_root = tmp_path / "checkpoints"
+    checkpoints_root.mkdir()
+
+    checkpoint_file = checkpoints_root / "test_model.safetensors"
+    checkpoint_file.write_text("fake content", encoding="utf-8")
+
+    normalized_root = _normalize(checkpoints_root)
+    normalized_file = _normalize(checkpoint_file)
+
+    monkeypatch.setattr(
+        model_scanner.config,
+        "base_models_roots",
+        [normalized_root],
+        raising=False,
+    )
+
+    scanner = CheckpointScanner()
+    
+    # Create metadata
+    metadata = await scanner._create_default_metadata(normalized_file)
+    assert metadata is not None
+    
+    # Verify the metadata file was created
+    metadata_file = checkpoints_root / "test_model.metadata.json"
+    assert metadata_file.exists(), "Metadata file should be created"
+    
+    # Load and verify content
+    with open(metadata_file, "r", encoding="utf-8") as f:
+        saved_data = json.load(f)
+    
+    assert saved_data.get("sha256") == "", "Saved sha256 should be empty"
+    assert saved_data.get("hash_status") == "pending", "Saved hash_status should be 'pending'"
+
+
+@pytest.mark.asyncio
+async def test_calculate_hash_for_model_completes_pending(tmp_path: Path, monkeypatch):
+    """Test that calculate_hash_for_model updates status to 'completed'."""
+    checkpoints_root = tmp_path / "checkpoints"
+    checkpoints_root.mkdir()
+
+    checkpoint_file = checkpoints_root / "test_model.safetensors"
+    checkpoint_file.write_text("fake content for hashing", encoding="utf-8")
+
+    normalized_root = _normalize(checkpoints_root)
+    normalized_file = _normalize(checkpoint_file)
+
+    monkeypatch.setattr(
+        model_scanner.config,
+        "base_models_roots",
+        [normalized_root],
+        raising=False,
+    )
+
+    scanner = CheckpointScanner()
+    
+    # Create pending metadata
+    metadata = await scanner._create_default_metadata(normalized_file)
+    assert metadata is not None
+    assert metadata.hash_status == "pending"
+    
+    # Calculate hash
+    hash_result = await scanner.calculate_hash_for_model(normalized_file)
+    
+    assert hash_result is not None, "Hash calculation should succeed"
+    assert len(hash_result) == 64, "SHA256 should be 64 hex characters"
+    
+    # Verify metadata was updated
+    metadata_file = checkpoints_root / "test_model.metadata.json"
+    with open(metadata_file, "r", encoding="utf-8") as f:
+        saved_data = json.load(f)
+    
+    assert saved_data.get("sha256") == hash_result, "sha256 should be updated"
+    assert saved_data.get("hash_status") == "completed", "hash_status should be 'completed'"
+
+
+@pytest.mark.asyncio
+async def test_calculate_hash_skips_if_already_completed(tmp_path: Path, monkeypatch):
+    """Test that calculate_hash_for_model skips calculation if already completed."""
+    checkpoints_root = tmp_path / "checkpoints"
+    checkpoints_root.mkdir()
+
+    checkpoint_file = checkpoints_root / "test_model.safetensors"
+    checkpoint_file.write_text("fake content", encoding="utf-8")
+
+    normalized_root = _normalize(checkpoints_root)
+    normalized_file = _normalize(checkpoint_file)
+
+    monkeypatch.setattr(
+        model_scanner.config,
+        "base_models_roots",
+        [normalized_root],
+        raising=False,
+    )
+
+    scanner = CheckpointScanner()
+    
+    # Create metadata with completed hash
+    metadata = CheckpointMetadata(
+        file_name="test_model",
+        model_name="test_model",
+        file_path=normalized_file,
+        size=100,
+        modified=1234567890.0,
+        sha256="existing_hash_value",
+        base_model="Unknown",
+        preview_url="",
+        hash_status="completed",
+        from_civitai=False,
+    )
+    
+    # Save metadata first
+    from py.utils.metadata_manager import MetadataManager
+    await MetadataManager.save_metadata(normalized_file, metadata)
+    
+    # Calculate hash should return existing value
+    with patch("py.utils.file_utils.calculate_sha256") as mock_calc:
+        mock_calc.return_value = "new_calculated_hash"
+        hash_result = await scanner.calculate_hash_for_model(normalized_file)
+    
+    assert hash_result == "existing_hash_value", "Should return existing hash"
+    mock_calc.assert_not_called(), "Should not recalculate if already completed"
+
+
+@pytest.mark.asyncio
+async def test_calculate_all_pending_hashes(tmp_path: Path, monkeypatch):
+    """Test bulk hash calculation for all pending checkpoints."""
+    checkpoints_root = tmp_path / "checkpoints"
+    checkpoints_root.mkdir()
+
+    # Create multiple checkpoint files
+    for i in range(3):
+        checkpoint_file = checkpoints_root / f"model_{i}.safetensors"
+        checkpoint_file.write_text(f"content {i}", encoding="utf-8")
+
+    normalized_root = _normalize(checkpoints_root)
+
+    monkeypatch.setattr(
+        model_scanner.config,
+        "base_models_roots",
+        [normalized_root],
+        raising=False,
+    )
+
+    scanner = CheckpointScanner()
+    
+    # Create pending metadata for all models
+    for i in range(3):
+        checkpoint_file = checkpoints_root / f"model_{i}.safetensors"
+        await scanner._create_default_metadata(_normalize(checkpoint_file))
+    
+    # Mock progress callback
+    progress_calls = []
+    async def progress_callback(current, total, file_path):
+        progress_calls.append((current, total, file_path))
+    
+    # Calculate all pending hashes
+    result = await scanner.calculate_all_pending_hashes(progress_callback)
+    
+    assert result["total"] == 3, "Should find 3 pending models"
+    assert result["completed"] == 3, "Should complete all 3"
+    assert result["failed"] == 0, "Should not fail any"
+    assert len(progress_calls) == 3, "Progress callback should be called 3 times"
+
+
+@pytest.mark.asyncio
+async def test_lora_scanner_not_affected(tmp_path: Path, monkeypatch):
+    """Test that LoraScanner still calculates hash during initial scan."""
+    from py.services.lora_scanner import LoraScanner
+    
+    loras_root = tmp_path / "loras"
+    loras_root.mkdir()
+
+    lora_file = loras_root / "test_lora.safetensors"
+    lora_file.write_text("fake lora content", encoding="utf-8")
+
+    normalized_root = _normalize(loras_root)
+
+    monkeypatch.setattr(
+        model_scanner.config,
+        "loras_roots",
+        [normalized_root],
+        raising=False,
+    )
+
+    # Reset singleton for LoraScanner
+    if LoraScanner in ModelScanner._instances:
+        del ModelScanner._instances[LoraScanner]
+
+    scanner = LoraScanner()
+    
+    # LoraScanner should use parent's _create_default_metadata which calculates hash
+    # We verify this by checking that it doesn't override the method
+    assert scanner._create_default_metadata.__qualname__ == "ModelScanner._create_default_metadata"

tests/services/test_checkpoint_scanner.py

@@ -132,4 +132,59 @@ async def test_persisted_cache_restores_model_type(tmp_path: Path, monkeypatch):
     assert types_by_path[normalized_unet_file] == "diffusion_model"
 
     assert ws_stub.payloads
-    assert ws_stub.payloads[-1]["stage"] == "loading_cache"
+
+
+@pytest.mark.asyncio
+async def test_checkpoint_scanner_get_model_roots_includes_extra_paths(monkeypatch, tmp_path):
+    """Test that get_model_roots includes both main and extra paths."""
+    checkpoints_root = tmp_path / "checkpoints"
+    extra_checkpoints_root = tmp_path / "extra_checkpoints"
+    unet_root = tmp_path / "unet"
+    extra_unet_root = tmp_path / "extra_unet"
+
+    for directory in (checkpoints_root, extra_checkpoints_root, unet_root, extra_unet_root):
+        directory.mkdir()
+
+    normalized_checkpoints = _normalize(checkpoints_root)
+    normalized_extra_checkpoints = _normalize(extra_checkpoints_root)
+    normalized_unet = _normalize(unet_root)
+    normalized_extra_unet = _normalize(extra_unet_root)
+
+    monkeypatch.setattr(
+        model_scanner.config,
+        "base_models_roots",
+        [normalized_checkpoints, normalized_unet],
+        raising=False,
+    )
+    monkeypatch.setattr(
+        model_scanner.config,
+        "checkpoints_roots",
+        [normalized_checkpoints],
+        raising=False,
+    )
+    monkeypatch.setattr(
+        model_scanner.config,
+        "unet_roots",
+        [normalized_unet],
+        raising=False,
+    )
+    monkeypatch.setattr(
+        model_scanner.config,
+        "extra_checkpoints_roots",
+        [normalized_extra_checkpoints],
+        raising=False,
+    )
+    monkeypatch.setattr(
+        model_scanner.config,
+        "extra_unet_roots",
+        [normalized_extra_unet],
+        raising=False,
+    )
+
+    scanner = CheckpointScanner()
+    roots = scanner.get_model_roots()
+
+    assert normalized_checkpoints in roots
+    assert normalized_unet in roots
+    assert normalized_extra_checkpoints in roots
+    assert normalized_extra_unet in roots

tests/services/test_settings_manager.py

@@ -470,6 +470,100 @@ def test_upsert_library_creates_entry_and_activates(manager, tmp_path):
     assert str(lora_dir).replace(os.sep, "/") in normalized_stored_paths
 
 
+def test_extra_folder_paths_stored_separately(manager, tmp_path):
+    lora_dir = tmp_path / "loras"
+    extra_dir = tmp_path / "extra_loras"
+    lora_dir.mkdir()
+    extra_dir.mkdir()
+
+    manager.upsert_library(
+        "test_library",
+        folder_paths={"loras": [str(lora_dir)]},
+        extra_folder_paths={"loras": [str(extra_dir)]},
+        activate=True,
+    )
+
+    libraries = manager.get_libraries()
+    lib = libraries["test_library"]
+
+    # Verify folder_paths contains main path
+    assert str(lora_dir) in lib["folder_paths"]["loras"]
+    # Verify extra_folder_paths contains extra path
+    assert str(extra_dir) in lib["extra_folder_paths"]["loras"]
+    # Verify they are separate
+    assert str(extra_dir) not in lib["folder_paths"]["loras"]
+
+
+def test_get_extra_folder_paths(manager, tmp_path):
+    extra_dir = tmp_path / "extra_loras"
+    extra_dir.mkdir()
+
+    manager.update_extra_folder_paths({"loras": [str(extra_dir)]})
+
+    extra_paths = manager.get_extra_folder_paths()
+    assert str(extra_dir) in extra_paths.get("loras", [])
+
+
+def test_library_switch_preserves_extra_paths(manager, tmp_path):
+    """Test that switching libraries preserves each library's extra paths."""
+    lora_dir1 = tmp_path / "lib1_loras"
+    extra_dir1 = tmp_path / "lib1_extra"
+    lora_dir2 = tmp_path / "lib2_loras"
+    extra_dir2 = tmp_path / "lib2_extra"
+
+    for directory in (lora_dir1, extra_dir1, lora_dir2, extra_dir2):
+        directory.mkdir()
+
+    manager.create_library(
+        "library1",
+        folder_paths={"loras": [str(lora_dir1)]},
+        extra_folder_paths={"loras": [str(extra_dir1)]},
+        activate=True,
+    )
+
+    manager.create_library(
+        "library2",
+        folder_paths={"loras": [str(lora_dir2)]},
+        extra_folder_paths={"loras": [str(extra_dir2)]},
+    )
+
+    assert manager.get_active_library_name() == "library1"
+    lib1 = manager.get_active_library()
+    assert str(lora_dir1) in lib1["folder_paths"]["loras"]
+    assert str(extra_dir1) in lib1["extra_folder_paths"]["loras"]
+
+    manager.activate_library("library2")
+
+    assert manager.get_active_library_name() == "library2"
+    lib2 = manager.get_active_library()
+    assert str(lora_dir2) in lib2["folder_paths"]["loras"]
+    assert str(extra_dir2) in lib2["extra_folder_paths"]["loras"]
+
+
+def test_extra_paths_validation_no_overlap_with_other_libraries(manager, tmp_path):
+    """Test that extra paths cannot overlap with other libraries' paths."""
+    lora_dir1 = tmp_path / "lib1_loras"
+    lora_dir1.mkdir()
+
+    manager.create_library(
+        "library1",
+        folder_paths={"loras": [str(lora_dir1)]},
+        activate=True,
+    )
+
+    extra_dir = tmp_path / "extra_loras"
+    extra_dir.mkdir()
+
+    manager.create_library(
+        "library2",
+        folder_paths={"loras": [str(extra_dir)]},
+        activate=True,
+    )
+
+    with pytest.raises(ValueError, match="already assigned to library"):
+        manager.update_extra_folder_paths({"loras": [str(lora_dir1)]})
+
+
 def test_delete_library_switches_active(manager, tmp_path):
     other_dir = tmp_path / "other"
     other_dir.mkdir()

vue-widgets/src/main.ts

@@ -147,7 +147,23 @@ function createLoraRandomizerWidget(node) {
 
   forwardMiddleMouseToCanvas(container)
 
-  let internalValue: RandomizerConfig | undefined
+  // Initialize with default config to avoid sending undefined/empty string to backend
+  const defaultConfig: RandomizerConfig = {
+    count_mode: 'range',
+    count_fixed: 3,
+    count_min: 2,
+    count_max: 5,
+    model_strength_min: 0.0,
+    model_strength_max: 1.0,
+    use_same_clip_strength: true,
+    clip_strength_min: 0.0,
+    clip_strength_max: 1.0,
+    roll_mode: 'fixed',
+    use_recommended_strength: false,
+    recommended_strength_scale_min: 0.5,
+    recommended_strength_scale_max: 1.0,
+  }
+  let internalValue: RandomizerConfig = defaultConfig
 
   const widget = node.addDOMWidget(
     'randomizer_config',

web/comfyui/settings.js

@@ -16,6 +16,9 @@ const PROMPT_TAG_AUTOCOMPLETE_DEFAULT = true;
 const TAG_SPACE_REPLACEMENT_SETTING_ID = "loramanager.tag_space_replacement";
 const TAG_SPACE_REPLACEMENT_DEFAULT = false;
 
+const USAGE_STATISTICS_SETTING_ID = "loramanager.usage_statistics";
+const USAGE_STATISTICS_DEFAULT = true;
+
 // ============================================================================
 // Helper Functions
 // ============================================================================
@@ -124,6 +127,32 @@ const getTagSpaceReplacementPreference = (() => {
     };
 })();
 
+const getUsageStatisticsPreference = (() => {
+    let settingsUnavailableLogged = false;
+
+    return () => {
+        const settingManager = app?.extensionManager?.setting;
+        if (!settingManager || typeof settingManager.get !== "function") {
+            if (!settingsUnavailableLogged) {
+                console.warn("LoRA Manager: settings API unavailable, using default usage statistics setting.");
+                settingsUnavailableLogged = true;
+            }
+            return USAGE_STATISTICS_DEFAULT;
+        }
+
+        try {
+            const value = settingManager.get(USAGE_STATISTICS_SETTING_ID);
+            return value ?? USAGE_STATISTICS_DEFAULT;
+        } catch (error) {
+            if (!settingsUnavailableLogged) {
+                console.warn("LoRA Manager: unable to read usage statistics setting, using default.", error);
+                settingsUnavailableLogged = true;
+            }
+            return USAGE_STATISTICS_DEFAULT;
+        }
+    };
+})();
+
 // ============================================================================
 // Register Extension with All Settings
 // ============================================================================
@@ -168,6 +197,14 @@ app.registerExtension({
             tooltip: "When enabled, tag names with underscores will have them replaced with spaces when inserted (e.g., 'blonde_hair' becomes 'blonde hair').",
             category: ["LoRA Manager", "Autocomplete", "Tag Formatting"],
         },
+        {
+            id: USAGE_STATISTICS_SETTING_ID,
+            name: "Enable usage statistics tracking",
+            type: "boolean",
+            defaultValue: USAGE_STATISTICS_DEFAULT,
+            tooltip: "When enabled, LoRA Manager will track model usage statistics during workflow execution. Disabling this will prevent unnecessary disk writes.",
+            category: ["LoRA Manager", "Statistics", "Usage Tracking"],
+        },
     ],
 });
 
@@ -175,4 +212,4 @@ app.registerExtension({
 // Exports
 // ============================================================================
 
-export { getWheelSensitivity, getAutoPathCorrectionPreference, getPromptTagAutocompletePreference, getTagSpaceReplacementPreference };
+export { getWheelSensitivity, getAutoPathCorrectionPreference, getPromptTagAutocompletePreference, getTagSpaceReplacementPreference, getUsageStatisticsPreference };

web/comfyui/usage_stats.js

@@ -2,7 +2,7 @@
 import { app } from "../../scripts/app.js";
 import { api } from "../../scripts/api.js";
 import { showToast } from "./utils.js";
-import { getAutoPathCorrectionPreference } from "./settings.js";
+import { getAutoPathCorrectionPreference, getUsageStatisticsPreference } from "./settings.js";
 
 // Define target nodes and their widget configurations
 const PATH_CORRECTION_TARGETS = [
@@ -25,6 +25,11 @@ app.registerExtension({
     setup() {
         // Listen for successful executions
         api.addEventListener("execution_success", ({ detail }) => {
+            // Skip if usage statistics is disabled
+            if (!getUsageStatisticsPreference()) {
+                return;
+            }
+
             if (detail && detail.prompt_id) {
                 this.updateUsageStats(detail.prompt_id);
             }

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

@@ -14695,7 +14695,22 @@ function createLoraRandomizerWidget(node) {
   container.style.flexDirection = "column";
   container.style.overflow = "hidden";
   forwardMiddleMouseToCanvas(container);
-  let internalValue;
+  const defaultConfig = {
+    count_mode: "range",
+    count_fixed: 3,
+    count_min: 2,
+    count_max: 5,
+    model_strength_min: 0,
+    model_strength_max: 1,
+    use_same_clip_strength: true,
+    clip_strength_min: 0,
+    clip_strength_max: 1,
+    roll_mode: "fixed",
+    use_recommended_strength: false,
+    recommended_strength_scale_min: 0.5,
+    recommended_strength_scale_max: 1
+  };
+  let internalValue = defaultConfig;
   const widget = node.addDOMWidget(
     "randomizer_config",
     "RANDOMIZER_CONFIG",

web/comfyui/workflow_registry.js

@@ -62,6 +62,7 @@ app.registerExtension({
                     title: node.title || node.comfyClass,
                     type: node.comfyClass,
                     comfy_class: node.comfyClass,
+                    mode: node.mode,
                     capabilities: {
                         supports_lora: supportsLora,
                         widget_names: widgetNames,