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
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
Move the 'empty/no LoRA' cycling functionality from the LoRA Pool node
to the Lora Cycler widget for cleaner architecture:
Frontend changes:
- Add include_no_lora field to CyclerConfig interface
- Add includeNoLora state and logic to useLoraCyclerState composable
- Add toggle UI in LoraCyclerSettingsView with special styling
- Show 'No LoRA' entry in LoraListModal when enabled
- Update LoraCyclerWidget to integrate new logic
Backend changes:
- lora_cycler.py reads include_no_lora from config
- Calculate effective_total_count (actual count + 1 when enabled)
- Return empty lora_stack when on No LoRA position
- Return actual LoRA count in total_count (not effective count)
Reverted files to pre-PR state:
- lora_loader.py, lora_pool.py, lora_randomizer.py, lora_stacker.py
- lora_routes.py, lora_service.py
- LoraPoolWidget.vue and related files
Related to PR #861
Co-authored-by: dogatech <dogatech@dogatech.home>
- 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)
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.
