- Layer 2 fallback: user tags overlapping with auto-tag categories
(HIGH/LOW/I2V/T2V/TI2V/Lightning/Turbo) are merged into auto_tags,
providing manual override when filename-based detection fails.
Matching is case-insensitive so "high"/"High"/"HIGH" all work.
- Refresh on tag edit: save_metadata and add_tags handlers now return
recalculated auto_tags in the response; the frontend passes them to
VirtualScroller.updateSingleItem so badges update immediately without
requiring a page reload.
- 8 new test cases for Layer 2 fallback and case-insensitive matching.
Duplicate filename detection is only relevant for LoRAs, which use
basename-only syntax (<lora:name:strength>). Checkpoints and diffusion
models reference files via relative paths with extensions, so filename
conflicts there are false positives — there is no resolution ambiguity.
Both _log_duplicate_filename_summary() and DoctorHandler's
_check_filename_conflicts() now skip scanners with model_type != 'lora'.
The method mark_not_downloaded() was misleading — it doesn't negate
'downloaded' history (the model was indeed downloaded before), but
rather sets is_deleted_override = 1 to indicate the version was
downloaded and subsequently deleted. This flag allows re-download when
the 'skip previously downloaded' setting is enabled.
Rename to mark_as_deleted() to accurately reflect its semantics.
Detects when multiple model files share the same basename (causing
ambiguity in LoRA resolution), logs warnings during scanning, and
provides a "Resolve Conflicts" button in the Doctor panel. Resolution
renames duplicates with hash-prefixed unique filenames, migrates all
sidecar and preview files, and updates the cache and frontend scroller
in-place so the model modal immediately reflects the new filename.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
_split _get_records_bulk into 500-id batches so the WHERE IN clause
never exceeds SQLite's 999-parameter ceiling.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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
