When importing recipes from Civitai image URLs, the API returns modelVersionIds
at the root level instead of inside the meta object. This caused LoRA information
to not be recognized and imported.
Changes:
- analysis_service.py: Merge modelVersionIds from image_info into metadata
- civitai_image.py: Add modelVersionIds field recognition and processing logic
- test_civitai_image_parser.py: Add test for modelVersionIds handling
Implement automatic fetching of base models from Civitai API to keep
data up-to-date without manual updates.
Backend:
- Add CivitaiBaseModelService with 7-day TTL caching
- Add /api/lm/base-models endpoints for fetching and refreshing
- Merge hardcoded and remote models for backward compatibility
- Smart abbreviation generation for unknown models
Frontend:
- Add civitaiBaseModelApi client for API communication
- Dynamic base model loading on app initialization
- Update SettingsManager to use merged model lists
- Add support for 8 new models: Anima, CogVideoX, LTXV 2.3, Mochi,
Pony V7, Wan Video 2.5 T2V/I2V
API Endpoints:
- GET /api/lm/base-models - Get merged models
- POST /api/lm/base-models/refresh - Force refresh
- GET /api/lm/base-models/categories - Get categories
- GET /api/lm/base-models/cache-status - Check cache status
Closes#854
Add new setting 'mature_blur_level' with options PG13/R/X/XXX to control
which NSFW rating level triggers blur filtering when NSFW blur is enabled.
- Backend: update preview selection logic to respect threshold
- Frontend: update UI components to use configurable threshold
- Settings: add validation and normalization for mature_blur_level
- Tests: add coverage for new threshold behavior
- Translations: add keys for all supported languages
Fixes#867
- Remove calculate_sha256 mocking from download_manager tests since
SHA256 now comes from API metadata (not recalculated during download)
- Update chunk_size assertion from 4MB to 16MB in downloader config test
Fix issue #870 where importing recipes from CivitAI image URLs would
return the wrong image when the API response did not contain the
requested image ID.
The get_image_info() method now:
- Iterates through all returned items to find matching ID
- Returns None when no match is found and logs warning with returned IDs
- Handles invalid (non-numeric) ID formats
New test cases:
- test_get_image_info_returns_matching_item
- test_get_image_info_returns_none_when_id_mismatch
- test_get_image_info_handles_invalid_id
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add SuiImageParamsParser for sui_image_params JSON format
- Register new parser in RecipeParserFactory
- Fix metadata_provider auto-initialization when not ready
- Add 10 test cases for SuiImageParamsParser
Fixes batch import failure for images with sui_image_params metadata.
Add name pattern filtering to LoRA Pool node allowing users to filter
LoRAs by filename or model name using either plain text or regex patterns.
Features:
- Include patterns: only show LoRAs matching at least one pattern
- Exclude patterns: exclude LoRAs matching any pattern
- Regex toggle: switch between substring and regex matching
- Case-insensitive matching for both modes
- Invalid regex automatically falls back to substring matching
- Filters apply to both file_name and model_name fields
Backend:
- Update LoraPoolLM._default_config() with namePatterns structure
- Add name pattern filtering to _apply_pool_filters() and _apply_specific_filters()
- Add API parameter parsing for name_pattern_include/exclude/use_regex
- Update LoraPoolConfig type with namePatterns field
Frontend:
- Add NamePatternsSection.vue component with pattern input UI
- Update useLoraPoolState to manage pattern state and API integration
- Update LoraPoolSummaryView to display NamePatternsSection
- Increase LORA_POOL_WIDGET_MIN_HEIGHT to accommodate new UI
Tests:
- Add 7 test cases covering text/regex include, exclude, combined
filtering, model name fallback, and invalid regex handling
Closes#839
- 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
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.
- 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.
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
