- Introduced a new CheckpointMetadata dataclass to encapsulate metadata for checkpoint models.
- Included fields for file details, model specifications, and additional attributes such as resolution and architecture.
- Implemented a __post_init__ method to initialize tags as an empty list if not provided, ensuring consistent data handling.
- Added a new optional parameter `custom_prompt` to the SaveImage class methods to allow users to override the default prompt.
- Updated the `format_metadata` method to utilize the custom prompt if provided.
- Modified the `save_images` and `process_image` methods to accept and pass the custom prompt through the workflow processing.
- Introduced a new API endpoint to reconnect deleted LoRAs to local files.
- Updated RecipeModal to include UI elements for reconnecting LoRAs, including input fields and buttons.
- Enhanced CSS styles for deleted badges and reconnect containers to improve user experience.
- Implemented event handling for reconnect actions, including input validation and API calls.
- Updated recipe data handling to reflect changes after reconnecting LoRAs.
- Added a method to map symbolic links back to actual paths in the Config class.
- Improved file creation handling in LoraFileHandler to check for file size and existence before processing.
- Introduced handling for file modification events to update the ignore list and schedule updates.
- Increased debounce delay in _process_changes to allow for file downloads to complete.
- Enhanced action processing to prioritize 'add' actions and verify file existence before adding to cache.
- Introduced a simple markdown parser to convert markdown syntax in changelog items to HTML.
- Updated modal CSS to style markdown elements, enhancing the presentation of changelog items.
- Improved user experience by allowing formatted text in changelog, including bold, italic, code, and links.
- Updated modal styles for improved layout and added select control for default LoRA root.
- Modified DownloadManager, ImportManager, MoveManager, and SettingsManager to retrieve and set the default LoRA root from storage.
- Introduced asynchronous loading of LoRA roots in SettingsManager to dynamically populate the select options.
- Improved user experience by allowing users to set a default LoRA root for downloads, imports, and moves.
- Moved and redefined transform functions for KSampler, EmptyLatentImage, CLIPTextEncode, and FluxGuidance to improve organization and maintainability.
- Updated NODE_MAPPERS to include new input tracking for clip_skip in KSampler and added new transform functions for LatentUpscale and CLIPSetLastLayer.
- Enhanced the transform_sampler_custom_advanced function to handle clip_skip extraction from model inputs.
- Updated the INPUT_TYPES to accept multiple images and modified the corresponding processing methods.
- Introduced a new format_filename method to handle dynamic filename generation using metadata patterns.
- Replaced save_workflow_json with embed_workflow for better clarity in saving workflow metadata.
- Improved directory handling and filename generation logic to ensure proper file saving.
- Removed the extract_user_comment and update_user_comment methods to streamline the ExifUtils class.
- Cleaned up unnecessary imports and reduced code complexity, focusing on essential functionality for image metadata extraction.
- Changed warning logs to debug logs in CivitaiClient and RecipeScanner for better log granularity.
- Updated the mapper registration function name for clarity and adjusted related logging messages.
- Enhanced extension loading process to automatically register mappers from NODE_MAPPERS_EXT, improving modularity and maintainability.
- Added KJNodes mappers for JoinStrings, StringConstantMultiline, and EmptyLatentImagePresets.
- Introduced transform functions to handle string joining, string constants, and dimension extraction with optional inversion.
- Registered new mappers and logged successful registration for better traceability.
- Introduced new API endpoints for fetching Civitai model details by model version ID or hash.
- Enhanced the download manager to support downloading LoRAs using model version ID or hash, improving flexibility.
- Updated RecipeModal to handle missing LoRAs, allowing users to download them directly from the recipe interface.
- Added tooltip and click functionality for missing LoRAs status, enhancing user experience.
- Improved error handling for missing LoRAs download process, providing clearer feedback to users.
- Updated Lora filtering logic in RecipeRoutes to skip deleted LoRAs without exclusion checks, improving performance and clarity.
- Enhanced condition for fetching cached LoRAs to ensure valid data is processed.
- Added toggleApiKeyVisibility function to RecipeManager, improving API key management in the UI.
- Introduced a new API endpoint to update recipe metadata, allowing users to modify recipe titles and tags.
- Enhanced RecipeModal to support inline editing of recipe titles and tags, improving user interaction.
- Updated RecipeCard to reflect changes in recipe metadata, ensuring consistency across the application.
- Improved error handling for metadata updates to provide clearer feedback to users.
- Introduced a new API endpoint to retrieve recipe syntax for LoRAs, allowing for better integration with the frontend.
- Updated RecipeCard to fetch recipe syntax from the backend instead of generating it locally.
- Modified RecipeModal to store the recipe ID and fetch syntax when the copy button is clicked, improving user experience.
- Enhanced error handling for fetching recipe syntax to provide clearer feedback to users.
- Introduced a new API endpoint to rename LoRA files, including validation and error handling for file paths and names.
- Updated the RecipeScanner to reflect changes in LoRA filenames across recipe files and cache.
- Enhanced the LoraModal UI to allow inline editing of file names with improved user interaction and validation.
- Added CSS styles for the editing interface to improve visual feedback during file name editing.
- 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.
- Bump version from 0.8.0 to 0.8.1 in pyproject.toml.
- Document new features in README.md, including base model correction, LoRA loader flexibility, expanded recipe support, enhanced showcase images, and various UI improvements and bug fixes.
- Updated handling of 401 unauthorized responses to differentiate between API key issues and early access restrictions.
- Improved logging for unauthorized access attempts.
- Refactored condition to check for early access restrictions based on response headers.
- Adjusted logic in DownloadManager to check for early access using a more concise method.
- Introduced ImageSaverMetadataParser class to parse metadata from the Image Saver plugin format.
- Implemented methods to extract prompts, negative prompts, and LoRA information, including weights and hashes.
- Enhanced error handling and logging for metadata parsing failures.
- Updated RecipeParserFactory to include ImageSaverMetadataParser for relevant user comments.
- Added `populate_lora_from_civitai` and `populate_checkpoint_from_civitai` methods to enhance the extraction of model information from Civitai API responses.
- These methods populate LoRA and checkpoint entries with relevant data such as model name, version, thumbnail URL, base model, download URL, and file details.
- Improved error handling and logging for scenarios where models are not found or data retrieval fails.
- Refactored existing code to utilize the new methods, streamlining the process of fetching and updating LoRA and checkpoint metadata.
- Added a new image metadata panel to display generation parameters and prompts for images and videos.
- Implemented styles for the metadata panel in lora-modal.css, ensuring it is responsive and visually integrated.
- Introduced functionality to copy prompts to the clipboard and handle metadata interactions within the modal.
- Updated media rendering logic in LoraModal.js to incorporate metadata display and improve user experience.
- Introduced MetaFormatParser class to parse metadata from images with Lora_N Model hash format.
- Implemented methods to validate metadata structure, extract prompts, negative prompts, and LoRA information.
- Enhanced error handling and logging for metadata parsing failures.
- Updated RecipeParserFactory to include MetaFormatParser for relevant user comments.
- Updated RETURN_TYPES and RETURN_NAMES to include active LoRAs.
- Introduced active_loras list to track active LoRAs and their strengths.
- Formatted active_loras for return as a string in the format <lora:lora_name:strength>.
- Introduced ComfyMetadataParser class to parse metadata from Civitai ComfyUI JSON format.
- Implemented methods to validate metadata structure, extract LoRA and checkpoint information, and retrieve additional model details from Civitai.
- Enhanced error handling and logging for metadata parsing failures.
- Updated RecipeParserFactory to prioritize ComfyMetadataParser for valid JSON inputs.
- Replaced the download function for images from Twitter to Civitai in recipe_routes.py.
- Updated metadata extraction from user comments to a more comprehensive image metadata extraction method in ExifUtils.
- Enhanced the appending of recipe metadata to utilize the new metadata extraction method.
- Added a new utility function to download images from Civitai.
- Removed the custom async_timeout function and replaced it with direct usage of the initialization lock.
- Simplified the cache initialization process by eliminating the dependency on the lora scanner.
- Enhanced error handling during cache initialization to ensure a fallback to an empty cache on failure.
