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
- Add pre-processing step to populate missing parameters for candidate samplers, especially for SamplerCustomAdvanced requiring tracing
- Change sampler selection from most recent (closest to downstream) to first in execution order to prioritize base samplers over refine samplers
- Improve parameter handling by updating sampler parameters with traced values before ranking
- Maintain backward compatibility with fallback to first sampler if no criteria match
- Add support for `basic_pipe` nodes in metadata processor to handle pipeline nodes like FromBasicPipe
- Optimize `find_primary_checkpoint` by accepting optional `primary_sampler_id` to avoid redundant calculations
- Update `get_workflow_trace` to pass known primary sampler ID for improved efficiency
Removed the forced normalization of path separators to forward slashes in BaseModelService to maintain platform-specific separators. Updated test cases to use os.sep for constructing expected paths, ensuring tests work correctly across different operating systems while preserving native path representations.
- 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
Add `_seed_root_symlink_mappings` method to ensure symlinked root folders are recorded before deep scanning, preventing them from being missed during directory traversal. This ensures that root symlinks are properly captured in the path mappings.
Additionally, normalize separators in relative paths for cross-platform consistency in `BaseModelService`, and update tests to verify root symlinks are preserved in the cache.
The SaveImage class has been renamed to SaveImageLM to better reflect its purpose within the Lora Manager module. This change ensures consistent naming across import statements, class mappings, and the actual class definition, improving code readability and maintainability.
- Added threading import and optional `_rescan_thread` for background operations
- Simplified `_load_symlink_cache` to only validate path mappings, removing fingerprint checks
- Updated `_initialize_symlink_mappings` to rebuild preview roots and schedule rescan when cache is loaded
- Added `_schedule_symlink_rescan` method to perform background validation of symlinks
- Cleared `_path_mappings` at start of `_scan_symbolic_links` to prevent stale entries
- Background rescan improves performance by deferring symlink validation after cache load
- Add `time` import for performance measurement
- Change debug logs to info level for better visibility of cache operations
- Add detailed logging for cache validation failures and successes
- Include timing metrics for symlink initialization and scanning
- Log cache save/load operations with mapping counts
Updated vi.mock calls in test files to use async importOriginal pattern, ensuring original module exports are preserved while mocking specific functions. This prevents unintended side effects and maintains better test isolation.
- 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.
Update symlink traversal logic to always record path mappings before checking for visited directories. This prevents valid link->target pairs from being dropped when the target directory has already been visited via another path. Also correct path mapping lookup to properly replace link paths with their actual target paths.
Add a Python script step to verify that the CI environment supports directory symlinks before running tests. This ensures that symlink-dependent tests will not fail due to environment limitations.
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.
- Simplify and consolidate the logic for processing trigger words and groups
- Remove redundant code paths and improve maintainability
- Ensure consistent behavior between list and string trigger data inputs
- Preserve existing functionality for strength adjustment and group mode
Introduce `relax_csp_for_remote_media` middleware that modifies Content Security Policy headers to permit loading media from trusted external domains (Civitai and Genur). This is necessary for LoRA Manager UI previews when ComfyUI runs with `--disable-api-nodes`, which otherwise blocks remote images and videos. The middleware is inserted after ComfyUI's `block_external_middleware` to properly extend the restrictive CSP header.
- Add `_get_supported_extensions_for_type` method to return allowed extensions per model type
- Rename `_extract_safetensors_from_archive` to `_extract_model_files_from_archive` and extend to filter by allowed extensions
- Update error message to list supported extensions when archive contains no valid files
- Add test for extracting .pt embedding files from zip archives
Add navigation section to locale files for model browsing functionality. Includes labels and tooltips for previous/next model navigation with keyboard shortcuts (←/→ arrows). Translations added for German, English, Spanish, French, Hebrew, Japanese, Korean, and Russian locales to support international users.
- 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 support for storing checkpoint information in image EXIF metadata. The checkpoint data is simplified and includes fields like model ID, version, name, hash, and base model. This allows for better tracking of AI model checkpoints used in image generation workflows.
Add comprehensive local file matching for LoRA entries in recipe metadata:
- Add modelVersionId-based lookup via new _get_lora_from_version_index method
- Extend LoRA entry with additional fields: existsLocally, inLibrary, localPath, thumbnailUrl, size
- Improve local file detection by checking both SHA256 hash and modelVersionId
- Set default thumbnail URL and size values for missing LoRA files
- Add proper typing with Optional imports for better code clarity
This provides more accurate local file status and metadata for LoRA entries in recipes.
- 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 the test HTML structure to properly nest all model metadata elements within the model modal container. This improves test accuracy by matching the actual DOM structure used in the application, ensuring that element selection and event handling work correctly during testing.
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.
Update metadata registry to remove cache entries when node metadata becomes empty instead of keeping stale data. This prevents accumulation of unused cache entries and ensures cache only contains valid metadata. Added test case to verify cache behavior when LoRA configurations are removed.
Add additional CivitAI image metadata fields to detection logic including generation parameters (prompt, steps, sampler, etc.) and model information. Also improve LoRA hash detection by checking both main metadata and nested meta objects. This ensures more comprehensive identification of CivitAI image metadata across different response formats.
- Refactor metadata detection to handle nested "meta" objects
- Add support for lowercase "lora:" hash keys
- Extract metadata from nested "meta" field when present
- Update tests to verify nested metadata parsing
- Handle case-insensitive LORA hash detection
The changes ensure proper parsing of Civitai image metadata that may be wrapped in nested structures, improving compatibility with different API response formats.
