Updated image path resolution logic to prioritize local sibling images in the same directory as recipes. When a stored image path differs from a local sibling, the system now automatically updates the recipe file to use the local path and persists this repair. This improves reliability when recipe assets are moved or reorganized, ensuring images remain accessible even if original paths become invalid.
- Add `open_settings_location` method to `FileSystemHandler` to open OS file explorer at settings file location
- Register new POST route `/api/lm/settings/open-location` for settings file access
- Inject `SettingsManager` dependency into `FileSystemHandler` constructor
- Add cross-platform support for Windows, macOS, and Linux file explorers
- Include error handling for missing settings files and system exceptions
- Return cache entry data from model move operations for immediate UI updates
- Add recalculate_type parameter to update_single_model_cache for proper type adjustment
- Propagate cache entry through API layer to frontend MoveManager
- Enable virtual scroller to update moved items with new cache data
Add new move_recipes_bulk endpoint to handle moving multiple recipes simultaneously. This improves efficiency when reorganizing recipe collections by allowing batch operations instead of individual moves.
- Add move_recipes_bulk handler method with proper error handling
- Register new POST /api/lm/recipes/move-bulk route
- Implement bulk move logic in persistence service
- Validate required parameters (recipe_ids and target_path)
- Handle common error cases including validation, not found, and server errors
- Add GET /api/lm/recipes/roots endpoint to retrieve recipe root directories
- Add POST /api/lm/recipe/move endpoint to move recipes between directories
- Register new endpoints in route definitions
- Implement error handling for both new endpoints with proper status codes
- Enable recipe management operations for better file organization
- Add new API endpoints for folder operations: get_folders, get_folder_tree, and get_unified_folder_tree
- Extend recipe listing handler to support folder and recursive filtering parameters
- Register new folder-related routes in route definitions
- Enable users to organize and browse recipes using folder structures
- Decrease modal header width from 85% to 84% for better visual alignment
- Add z-index: 10 to close button to ensure it remains above other modal elements
- Import `escapeAttribute` and `escapeHtml` utilities from shared utils
- Remove duplicate `escapeAttribute` function from ModelModal.js
- Apply escaping to file path attributes in model modal and trigger words
- Escape folder path HTML content to prevent XSS vulnerabilities
- Ensure safe handling of user-controlled data in UI components
- Add `cardPath` parameter to `show` method in NsfwLevelSelector component
- Include `filePath` from card dataset when calling selector in ModelContextMenuMixin
- Clear `cardPath` from dataset when hiding selector to prevent stale data
This enables the NSFW level selector to access the file path context, which may be needed for backend operations when changing NSFW levels.
Add new POST endpoint `/api/lm/example-images/set-nsfw-level` to allow updating NSFW classification for individual example images. The endpoint supports both regular and custom images, validates required parameters, and updates the corresponding model metadata. This enables users to manually adjust NSFW ratings for better content filtering.
- Add update badge to versions tab button when model has updates
- Sync update status between modal and model cards in gallery
- Pass `onUpdateStatusChange` callback to versions tab for real-time updates
- Introduce `updateAvailabilityState` to track update status changes
- Improve user awareness of available model updates across UI components
- Add CSS for modal navigation buttons with hover and disabled states
- Implement keyboard shortcuts (arrow keys) for navigating between models
- Add navigation controls UI to modal header with previous/next buttons
- Store navigation state to enable sequential model browsing
- Clean up event handlers to prevent memory leaks when modal closes
Add support for parsing comma-separated and JSON-style commercial use permission values in both Python backend and JavaScript frontend. Implement helper functions to split aggregated values into individual permissions while preserving original values when no aggregation is detected.
Added comprehensive test coverage for the new parsing functionality to ensure correct handling of various input formats including strings, arrays, and iterable objects with aggregated commercial use values.
- Add MODEL_NAME_PATTERN regex to extract model names from parameters
- Extract model hash from parsed hashes when available in metadata
- Add checkpoint model hash and name extraction from parameters section
- Implement checkpoint resource processing from Civitai metadata
- Improve model information completeness for better recipe tracking
Add new model constants for Flux.2 D and ZImageTurbo to the BASE_MODELS object,
along with their corresponding abbreviations in BASE_MODEL_ABBREVIATIONS. Also
include these new models in the appropriate categories within BASE_MODEL_CATEGORIES.
This update ensures the application can properly recognize and handle these
newly supported AI models in the system.
Refactor updateModalFilePathReferences function to scope all DOM queries within the modal element. This prevents potential conflicts with other elements on the page that might have the same CSS selectors. Added helper functions scopedQuery and scopedQueryAll to limit element selection to the modal context, improving reliability and preventing unintended side effects.
- Add checkpoint hash parameter parsing to backend routes
- Implement checkpoint hash filtering in frontend API client
- Add click navigation from recipe modal to checkpoints page
- Update checkpoint items to use pointer cursor for better UX
Checkpoint items in recipe modal are now clickable and will navigate to the checkpoints page with appropriate hash filtering applied. This improves user workflow when wanting to view checkpoint details from recipes.
- Add CheckpointScanner dependency to RecipeScanner singleton
- Implement checkpoint enrichment in recipe data processing
- Add _enrich_checkpoint_entry method to enhance checkpoint metadata
- Update recipe formatting to include checkpoint information
- Extend get_instance, __new__, and __init__ methods to support checkpoint scanner
- Add _get_checkpoint_from_version_index method for cache lookup
This enables recipe scanner to handle checkpoint models alongside existing LoRA support, providing complete model metadata for recipes.
- Extract checkpoint entry from multiple metadata locations using helper method
- Sanitize checkpoint metadata by removing transient/local-only fields
- Remove checkpoint duplication from generation parameters to store only at top level
- Update frontend to properly populate checkpoint metadata during import
- Add tests for new checkpoint handling functionality
This ensures consistent checkpoint metadata structure and prevents data duplication across different storage locations.
- Import getBaseModelAbbreviation utility function
- Add fallback handling for missing base model values
- Display abbreviated base model names while keeping full name in tooltip
- Maintain "Unknown" label for recipes without base model specification
- Improve user experience by showing cleaner, more readable model identifiers
- Add auto_organize_exclusions to settings handler proxy keys
- Refactor model file service to handle exclusions relative to model roots
- Improve auto-organize progress reporting for empty operations
- Fix exclusion pattern matching to consider relative paths within model roots
- Ensure proper validation when no model roots are configured
- Add comprehensive cleanup reporting for empty auto-organize operations
- Extend CSS to style video elements in delete previews
- Add video rendering logic for model version previews
- Use consistent placeholder image for missing previews
- Maintain existing image preview functionality while adding video support
This allows users to see video previews when deleting model versions, improving the user experience for video-based models.
