- Add validation to check if Civitai API metadata contains recipe fields
- Fall back to EXIF extraction when API returns empty metadata (meta.meta=null)
- Improve error messages to distinguish between missing metadata and unsupported format
- Add _has_recipe_fields() helper method to validate metadata content
This fixes import failures for Civitai images where the API returns
metadata wrapper but no actual generation parameters (e.g., images
edited in Photoshop that lost their original generation metadata)
- Rename nodes to 'Checkpoint Loader (LoraManager)' and 'Unet Loader (LoraManager)'\n- Use os.sep for relative path formatting in model COMBO inputs\n- Update path matching to be robust across OS separators\n- Update docstrings and comments
Refactor _prepare_checkpoint_paths() to return a tuple instead of having
side effects on instance variables. This prevents extra unet paths from
being incorrectly classified as checkpoints when processing extra paths.
- Changed return type from List[str] to Tuple[List[str], List[str], List[str]]
(all_paths, checkpoint_roots, unet_roots)
- Updated _init_checkpoint_paths() and _apply_library_paths() callers
- Fixed extra paths processing to properly isolate main and extra roots
- Updated test_checkpoint_path_overlap.py tests for new API
This ensures models in extra unet paths are correctly identified as
diffusion_model type and don't appear in checkpoints list.
Add file_path as a tie-breaker for all sort modes in ModelCache, BaseModelService, LoraService, and RecipeCache to ensure deterministic ordering when primary keys are identical. Resolves issue #859.
- Add LOG10(post_count) weighting to BM25 score for better relevance ranking
- Prioritize tag_name prefix matches above alias matches using CASE statement
- Remove frontend re-scoring logic to trust backend排序 results
- Fix pagination consistency: page N+1 scores <= page N minimum score
Key improvements:
- '1girl' (6M posts) now ranks #1 instead of #149 for search '1'
- tag_name prefix matches always appear before alias matches
- Popular tags rank higher than obscure ones with same prefix
- Consistent ordering across pagination boundaries
Test coverage:
- Add test_search_tag_name_prefix_match_priority
- Add test_search_ranks_popular_tags_higher
- Add test_search_pagination_ordering_consistency
- Add test_search_rank_score_includes_popularity_weight
- Update test data with 15 tags starting with '1'
Fixes issues with autocomplete dropdown showing inconsistent results
when scrolling through paginated search results.
- Add BatchImportService with concurrent execution using asyncio.gather
- Implement AdaptiveConcurrencyController with dynamic adjustment
- Add input validation for URLs and local paths
- Support duplicate detection via skip_duplicates parameter
- Add WebSocket progress broadcasting for real-time updates
- Create comprehensive unit tests for batch import functionality
- Update API handlers and route registrations
- Add i18n translation keys for batch import UI
- Update get_lora_info() to check both loras_roots and extra_loras_roots
- Add fallback logic to return trigger words even if path not in recognized roots
- Ensure Trigger Word Toggle node displays trigger words for LoRAs from extra folder paths
Fixes issue where LoRAs added from extra folder paths would not show their trigger words in connected Trigger Word Toggle nodes.
- Add GET /api/lm/example-workflows endpoint to list available templates
- Add GET /api/lm/example-workflows/{filename} to retrieve specific workflow
- Add 'New Tab Template Workflow' setting in LoRA Manager settings
- Automatically apply 80% zoom level when loading template workflows
- Override workflow's saved view settings to prevent visual zoom flicker
The feature allows users to select a template workflow from example_workflows/
directory to load when creating new workflow tabs, with a hardcoded 0.8 zoom
level for better initial view experience.
Remove .safetensors/.ckpt/.pt/.bin extensions from model names in autocomplete
suggestions to improve UX and search relevance:
Frontend (web/comfyui/autocomplete.js):
- Add _getDisplayText() helper to strip extensions from model paths
- Update _matchItem() to match against filename without extension
- Update render() and createItemElement() to display clean names
Backend (py/services/base_model_service.py):
- Add _remove_model_extension() helper method
- Update _relative_path_matches_tokens() to ignore extensions in matching
- Update _relative_path_sort_key() to sort based on names without extensions
Tests (tests/services/test_relative_path_search.py):
- Add tests to verify 's' and 'safe' queries don't match all .safetensors files
Fixes issue where typing 's' would match all .safetensors files and cluttered
suggestions with redundant extension names.
Refactor force_refresh path to use thread pool execution instead of blocking
the event loop shared with ComfyUI. Key changes:
- Fix 1: Route force_refresh through _initialize_recipe_cache_sync() in thread pool
- Fix 2: Add GIL release points (time.sleep(0)) every 100 files in sync loops
- Fix 3: Move RecipeCache.resort() to thread pool via run_in_executor
- Fix 4: Persist cache automatically after force_refresh
- Fix 5: Increase yield frequency in _enrich_cache_metadata (every recipe)
This eliminates the ~5 minute freeze when rebuilding 30K recipe cache.
Fixes performance issue where ComfyUI became unresponsive during recipe
scanning due to shared Python event loop blocking.
- Add get_model_usage_list API endpoint for paginated stats
- Replace static rendering with client-side infinite scroll logic
- Add scrollbars and max-height to model usage lists
- Add new endpoint POST /api/lm/{prefix}/set-preview-from-url to handle
remote image downloads server-side, avoiding CORS issues
- Use rewrite_preview_url() to download optimized smaller images (450px width)
- Use Downloader service for reliable downloads with retry logic and proxy support
- Update frontend to call new endpoint instead of fetching images in browser
fixes#837
- Add SupportersHandler in misc_handlers.py to serve /api/lm/supporters
- Register new endpoint in misc_route_registrar.py
- Remove supporters from page load template context in model_handlers.py
- Create supportersService.js for frontend data fetching
- Update Header.js to fetch supporters when support modal opens
- Modify support_modal.html to use client-side rendering
This change improves page load performance by loading supporters data
on-demand instead of during initial page render.
- Allow empty sha256 when hash_status is 'pending' in cache entry validator
- Add on-demand hash calculation during bulk metadata refresh for checkpoints
with pending hash status
- Add comprehensive tests for both fixes
Fixes issue where checkpoints in extra paths were not visible in UI and
not processed during bulk metadata refresh due to empty sha256.
- Fix config.py: save and restore main paths when processing extra folder paths to prevent
_prepare_checkpoint_paths from overwriting checkpoints_roots and unet_roots
- Fix lora_manager.py: apply library settings during initialization to load extra folder paths
in ComfyUI plugin mode
- Fix checkpoint_routes.py: merge checkpoints/unet roots with extra paths in API endpoints
- Add logging for extra folder paths
Fixes issue where extra folder paths were not recognized for checkpoints and unet models.
- Fix config.py: save and restore main paths when processing extra folder paths to prevent
_prepare_checkpoint_paths from overwriting checkpoints_roots and unet_roots
- Fix lora_manager.py: apply library settings during initialization to load extra folder paths
in ComfyUI plugin mode
- Fix checkpoint_routes.py: merge checkpoints/unet roots with extra paths in API endpoints
- Add logging for extra folder paths
Fixes issue where extra folder paths were not recognized for checkpoints and unet models.
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
Introduce extra_folder_paths feature to allow users to add additional
model roots that are managed by LoRA Manager but not shared with ComfyUI.
Changes:
- Add extra_folder_paths support in SettingsManager (stored per library)
- Add extra path attributes in Config class (extra_loras_roots, etc.)
- Merge folder_paths with extra_folder_paths when applying library settings
- Update LoraScanner, CheckpointScanner, EmbeddingScanner to include
extra paths in their model roots
- Add comprehensive tests for the new functionality
This enables users to manage models from additional directories without
modifying ComfyUI's model folder configuration.
- Handle non-string hash values by converting to string before lower()
- Add try-except for strength conversion to handle invalid values like empty strings
- Fixes hypothesis test failures when random data generates unexpected types
lora_stack stores relative paths (e.g., 'Illustrious/style/file.safetensors'),
but comfy.utils.load_torch_file requires absolute paths. Previously, when
loading LoRAs from lora_stack, the relative path was passed directly to the
low-level API, causing FileNotFoundError on Windows.
This fix extracts the lora name from the relative path and uses
get_lora_info_absolute() to resolve the full absolute path before passing
it to load_torch_file(). This maintains compatibility with the lora_stack
format while ensuring correct file loading across all platforms.
Fixes: FileNotFoundError for relative paths in LoraLoaderLM and LoraTextLoaderLM
when processing lora_stack input.
- Add get_lora_info_absolute() function to return absolute file paths
- Replace LoraLoader().load_lora() with comfy.utils.load_torch_file() +
comfy.sd.load_lora_for_models() to enable loading LoRAs from any path
- This allows LoRA Manager to load LoRAs from non-standard paths (multi-library support)
- Fixes#805
- Add is_dirty flag to track if statistics have changed
- Only write stats file when data actually changes
- Add enable_usage_statistics setting in ComfyUI settings
- Skip backend requests when usage statistics is disabled
- Fix standalone mode compatibility for MetadataRegistry
Fixes#826
Replace _SYNC_KEYS (37 keys) with _NO_SYNC_KEYS (5 keys) in SettingsHandler.
New settings automatically sync to frontend unless explicitly excluded.
Changes:
- SettingsHandler now syncs all settings except those in _NO_SYNC_KEYS
- Added keys() method to SettingsManager for iteration
- Updated tests to use new behavior
Benefits:
- No more missing keys when adding new settings
- Reduced maintenance burden
- Explicit exclusions for sensitive/internal settings only
Fixes: #86
Add Early Access version support with filtering and improved UI:
Backend:
- Add is_early_access and early_access_ends_at fields to ModelVersionRecord
- Implement two-phase EA detection (bulk API + single API enrichment)
- Add hide_early_access_updates setting to filter EA updates
- Update has_update() and has_updates_bulk() to respect EA filter setting
- Add _enrich_early_access_details() for precise EA time fetching
- Fix setting propagation through base_model_service and model_update_service
Frontend:
- Add smart relative time display for EA (in Xh, in Xd, or date)
- Replace EA label with clock icon in metadata (fa-clock)
- Show Download button with bolt icon for EA versions (fa-bolt)
- Change EA badge color to #F59F00 (CivitAI Buzz theme)
- Fix toggle UI for hide_early_access_updates setting
- Add translation keys for EA time formatting
Tests:
- Update all tests to pass with new EA functionality
- Add test coverage for EA filtering logic
Closes#815
- Backend: Support limit=0 to return all tags in top-tags API
- Frontend: Remove tags limit setting and fetch all tags by default
- UI: Implement virtual scrolling in TagsModal for performance
- Initial display 200 tags, load more on scroll
- Show all results when searching
- Remove lora_pool_tags_limit setting to simplify UX
Fixes#819
Fix KeyError when 'hashes', 'name', or 'model' fields are missing from
Civitai API responses. Use .get() with defaults instead of direct dict
access in:
- LoraMetadata.from_civitai_info()
- CheckpointMetadata.from_civitai_info()
- EmbeddingMetadata.from_civitai_info()
- RecipeScanner._get_hash_from_civitai()
- DownloadManager._process_download()
Fixes#820
- Extract progress file loading to async methods to run in executor
- Refactor start_download to reduce lock time by pre-loading data before entering lock
- Improve check_pending_models efficiency with single-pass model collection and async loading
- Add type hints to get_status method
- Add tests for download task callback execution and error handling
Add a segmented toggle in the Filter Panel to switch between 'Any' (OR)
and 'All' (AND) logic when filtering by multiple include tags.
Changes:
- Backend: Add tag_logic field to FilterCriteria and ModelFilterSet
- Backend: Parse tag_logic parameter in model handlers
- Frontend: Add segmented toggle UI in filter panel header
- Frontend: Add interaction logic and state management for tag logic
- Add translations for all supported languages
- Add comprehensive tests for the new feature
Closes#802
Add automatic cleanup of default values from settings.json to keep configuration files minimal and focused on user customizations. Introduces a threshold-based cleanup that only removes default values when the file contains a significant number of them (10+), preserving small template-based configurations while cleaning up legacy bloated files.
Key changes:
- Add DEFAULT_KEYS_CLEANUP_THRESHOLD constant to control cleanup aggressiveness
- Implement _cleanup_default_values_from_disk() method that removes default values from disk while keeping them available in memory
- Modify _ensure_default_settings() to only save when existing values are updated, not when defaults are inserted
- Update _serialize_settings_for_disk() to only persist settings that differ from defaults
- Add cleanup call during initialization for existing settings files
This reduces file size and noise in settings.json while maintaining full functionality at runtime.
