Cache corruption (NULL model_name/file_name from legacy DB rows or partial
writes) caused format_response to raise KeyError/AttributeError, failing the
entire /loras/list request and showing no models in the UI.
Fix across three layers:
- format_response (lora/checkpoint/embedding): replace direct dict[] access
with .get() fallbacks; return None for entries missing file_path
- handlers: filter None entries from list/excluded/fetch/duplicate/conflict
endpoints instead of letting them crash or appear as null in responses
- model_scanner: always use validate_batch repaired copies (previously
discarded when no invalid entries, leaving None values in raw_data)
- persistent_model_cache: add or-empty-string guards on read and write for
nullable TEXT columns (model_name, file_name, folder, base_model, etc.)
- 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 model_types parameter to ModelListingHandler to support filtering by model type
- Implement get_model_types endpoint in ModelQueryHandler to retrieve available model types
- Register new /api/lm/{prefix}/model-types route for model type queries
- Extend BaseModelService to handle model type filtering in queries
- Support both model_type and civitai_model_type query parameters for backward compatibility
This enables users to filter models by specific types, improving model discovery and organization capabilities.
- Add set_version_update_ignore endpoint to toggle ignore status for specific versions
- Add get_model_versions endpoint to retrieve version details with optional refresh
- Update serialization to include version-specific data and preview overrides
- Modify database schema to support version-level ignore tracking
- Improve error handling for rate limiting and missing models
These changes enable granular control over version updates and provide better visibility into model version status.