- Implement WebSocket route for initialization progress updates
- Create initialization component with progress bar and stages
- Add styles for initialization UI
- Update base template to include initialization component
- Enhance model scanner to broadcast progress during initialization
- Implement fetchCivitai API method to retrieve metadata from Civitai.
- Enhance CheckpointsControls to include fetch from Civitai functionality.
- Update PageControls to register fetch from Civitai event listener for both LoRAs and Checkpoints.
- Added support for filtering LoRAs by hash in both API and UI components.
- Implemented session storage management for custom filter states when navigating between recipes and LoRAs.
- Introduced a new button in the recipe modal to view associated LoRAs, enhancing user navigation.
- Updated CSS styles for new UI elements, including a custom filter indicator and LoRA view button.
- Refactored existing JavaScript components to streamline the handling of filter parameters and improve maintainability.
- Implemented a new API endpoint to fetch recipes associated with a specific Lora by its hash.
- Enhanced the recipe scanning logic to support filtering by Lora hash and bypassing other filters.
- Added a new method to retrieve a recipe by its ID with formatted metadata.
- Created a new RecipeTab component to display recipes in the Lora modal.
- Introduced session storage utilities for managing custom filter states.
- Updated the UI to include a custom filter indicator and loading/error states for recipes.
- Refactored existing recipe management logic to accommodate new features and improve maintainability.
- Simplified the path handling in DownloadManager by directly adding normalized paths to the ignore list.
- Updated LoraFileHandler to utilize a set for ignore paths, enhancing performance and clarity.
- Implemented debouncing for modified file events to prevent duplicate processing and improve efficiency.
- Enhanced the handling of file creation, modification, and deletion events for .safetensors files, ensuring accurate processing and logging.
- Adjusted cache operations to streamline the addition and removal of files based on real paths.
- Updated the file monitoring logic to store and verify real file paths instead of mapped paths, ensuring accurate existence checks.
- Enhanced logging for error handling and processing actions, including detailed error messages with exception info.
- Adjusted cache operations to reflect the use of normalized paths for consistency in add/remove actions.
- Improved handling of ignore paths by removing successfully processed files from the ignore list.
- 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.
- 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.
