- Updated LoraScanner to first attempt to create metadata from .civitai.info files, improving metadata extraction from existing files.
- Added error handling for reading .civitai.info files and fallback to generating metadata using get_file_info if necessary.
- Refactored file_utils to expose find_preview_file function and added logic to utilize SHA256 from existing .json files to avoid recalculation.
- Improved overall robustness of metadata loading and preview file retrieval processes.
- Updated LoraRoutes to better check cache initialization status and handle loading states.
- Added logging for successful cache loading and error handling for cache retrieval failures.
- Enhanced base.html and loras.html templates to display a loading spinner and initialization notice during cache setup.
- Improved user experience by ensuring the loading notice is displayed appropriately based on initialization state.
- Introduced a new API endpoint to save recipes directly from the LoRAs widget.
- Implemented logic to handle recipe data, including image processing and metadata extraction.
- Enhanced error handling for missing fields and image retrieval.
- Updated the ExifUtils to extract generation parameters from images for recipe creation.
- Added a direct save option in the widget, improving user experience.
- Introduced a new fuzzy_match utility function for improved search accuracy across Lora and Recipe scanners.
- Updated search logic in LoraScanner and RecipeScanner to leverage fuzzy matching for titles, tags, and filenames, enhancing user experience.
- Removed deprecated search methods to streamline the codebase and improve maintainability.
- Adjusted API routes to ensure compatibility with the new search options, including recursive search handling.
- Introduced a new endpoint for retrieving base models used in loras, enhancing the API functionality.
- Updated the existing top-tags route to reflect the new URL structure under '/api/loras'.
- Modified the FilterManager to accommodate the new base models API, ensuring proper data fetching and display on the loras page.
- Improved error handling and logging for base model retrieval, enhancing overall robustness of the application.
