- 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.
- 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.
- 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.
- Added functionality to update the hash index by removing entries associated with the specified file path during cache management.
- Ensured that the cache is properly resorted after the removal of raw data items.
- Updated the early access condition checks in RecipeFormatParser, StandardMetadataParser, and A1111MetadataParser to use `get` method for improved readability and safety.
- Ensured consistent handling of early access status across different parser classes.
- Added error handling for early access restrictions in the API routes, returning appropriate status codes and messages.
- Enhanced the Civitai client to log unauthorized access attempts and provide user-friendly error messages.
- Updated the download manager to check for early access requirements and log warnings accordingly.
- Introduced UI elements to indicate early access status for LoRAs, including badges and warning messages in the import manager.
- Improved toast notifications to inform users about early access download failures and provide relevant information.
- Updated LoraFileHandler to utilize the passed event loop for time retrieval instead of the current thread's event loop.
- Changed error logging for extension loading in mappers from error to warning level for better clarity.
- Updated LoraStackerMapper to handle multiple formats for lora_stack input, improving flexibility in processing existing stacks.
- Introduced caching for processed node results in WorkflowParser to optimize performance and prevent redundant processing.
- Added a new method to collect loras from model inputs, enhancing the ability to extract relevant data from the workflow.
- Improved handling of processed nodes to avoid cycles and ensure accurate results during workflow parsing.
- Improved reference handling in NodeMapper to support integer node IDs and added error logging for reference processing failures.
- Updated LoraLoaderMapper and LoraStackerMapper to handle lora_stack as a dictionary, ensuring compatibility with new data formats.
- Refactored trace_model_path utility to perform a depth-first search for LoRA nodes, improving the accuracy of model path tracing.
- Cleaned up unused code in parser.py related to LoRA processing, streamlining the workflow parsing logic.
- Introduced a new WorkflowParser class to streamline workflow parsing and manage node mappers.
- Added functionality to load external mappers dynamically from a specified directory.
- Refactored LoraLoaderMapper and LoraStackerMapper to handle new data formats for loras and trigger words.
- Updated recipe routes to utilize the new WorkflowParser for parsing workflows.
- Made adjustments to the flux_prompt.json to reflect changes in active states and class types.
- Deleted the `__init__.py`, `cli.py`, `extension_manager.py`, `integration_example.py`, `README.md`, `simple_test.py`, `test_parser.py`, `verify_workflow.py`, and `workflow_parser.py` files as they are no longer needed.
- Updated `.gitignore` to exclude new output files and test scripts.
- Cleaned up the node processors directory by removing all processor implementations and their registration logic.
- Introduced a new API route to fetch the Civitai URL for a specified LoRA file.
- Implemented error handling for missing LoRA names and absence of Civitai data.
- Added a "View on Civitai" option in the UI, allowing users to access the Civitai URL directly from the LoRA widget.
- Enhanced user feedback for successful and failed URL retrieval attempts.
- Introduced logging to track unexpected formats in LoRA and trigger word data.
- Refactored LoRA processing to support both old and new kwargs formats in LoraLoader and LoraStacker.
- Enhanced trigger word processing to handle different data formats in TriggerWordToggle.
- Improved code readability and maintainability by extracting common logic into helper methods.
- Introduced a new storageHelpers module to centralize localStorage interactions, improving code maintainability and readability.
- Updated various components and managers to utilize the new storageHelpers functions for setting, getting, and removing items from localStorage.
- Added migration logic to handle localStorage items during application initialization, ensuring compatibility with the new storage structure.
- Enhanced logging during application initialization for better debugging.
- Changed logging from info to debug for parsed workflow in RecipeRoutes to reduce log verbosity.
- Added a refresh button in the recipe controls section of the HTML template to allow users to reload the recipe list easily.
- Updated add_path_mapping method to return a boolean indicating success or failure of mapping addition.
- Enhanced link scanning to only continue if a mapping was successfully added.
- Filtered paths to exclude those already mapped, improving efficiency in path handling.
- Added logging for existing mappings to provide better insights during execution.
- Removed the logic for fetching and formatting recipes from the cache.
- Updated the response to return an empty list for recipes when no data is present, simplifying the flow.
- Adjusted comments for clarity regarding the new behavior.
- Updated the recipe saving logic to accept a workflow JSON input instead of individual fields like name, tags, and metadata.
- Implemented parsing of the workflow to extract generation parameters and Lora stack, improving the recipe creation process.
- Enhanced error handling for missing workflow data and invalid Lora formats.
- Removed deprecated code related to individual field handling, streamlining the recipe saving functionality.
- Updated the front-end widget to send the workflow JSON directly, simplifying the data preparation process.
- Expanded the prompt.json file with new configurations for KSampler, CheckpointLoaderSimple, and various CLIPTextEncode nodes.
- Introduced additional Lora management features, including a new Lora Stacker and improved trigger word handling.
- Enhanced the loras_widget.js to log the generated prompt when saving recipes directly, aiding in debugging and user feedback.
- Improved overall structure and organization of the prompt configurations for better maintainability.
- Updated the logic in ExifUtils to first identify KSampler nodes and store references to positive and negative prompt nodes.
- Added a helper function to follow these references and extract text content from CLIP Text Encode nodes.
- Implemented a fallback mechanism to extract prompts using traditional methods if references are not available.
- Improved code readability with additional comments and structured handling of node data.
- 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.
- Moved the recipe metadata appending logic to occur after the JSON creation for better workflow.
- Adjusted the user comment formatting in ExifUtils to include a newline for improved readability.
- Reduced the maximum height of the recipe modal bottom section for better layout consistency.
- Implemented functionality to append recipe metadata to images during the recipe creation process.
- Removed redundant metadata handling from the temporary image processing step, streamlining the image handling logic.
- Enhanced the overall image processing workflow for better integration of recipe data.
- 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.
- Removed the handle_get_recipes method from ApiRoutes to streamline the API structure.
- Updated RecipeRoutes to include logging for recipe retrieval requests and improved filter management.
- Consolidated filter management logic in FilterManager to support both recipes and loras, enhancing code reusability.
- Deleted obsolete LoraSearchManager and RecipeSearchManager classes to simplify the search functionality.
- Improved infinite scroll implementation for both recipes and loras, ensuring consistent loading behavior across pages.
- Introduced CheckpointsRoutes for managing checkpoints-related endpoints and handling the checkpoints page.
- Added checkpoints.html template for rendering the checkpoints interface with a work-in-progress message.
- Implemented checkpoints.js to manage the initialization of the Checkpoints page and its components.
- Updated LoraManager to include checkpoints routes in the application setup, enhancing overall functionality.
- Introduced new search options for recipes, allowing users to filter by title, tags, LoRA filename, and LoRA model name.
- Updated the RecipeRoutes and RecipeScanner to accommodate the new search options, enhancing the filtering capabilities.
- Refactored RecipeManager and RecipeSearchManager to utilize the hierarchical state structure for managing search parameters and pagination state.
- Improved the user interface by dynamically displaying relevant search options based on the current page context.
- Removed print statements for initialization and setup in RecipeRoutes to reduce console clutter and improve logging practices.
- Updated image optimization parameters in RecipeRoutes to enhance image quality by increasing the target width.
- Modified user comment handling in ExifUtils to ensure proper formatting when appending recipe metadata, improving metadata consistency.
- Implemented image optimization in RecipeRoutes, resizing and converting uploaded images to WebP format while preserving metadata.
- Updated ExifUtils to support EXIF data handling for WebP images, ensuring compatibility with various image formats.
- Added a new method for optimizing images, allowing for better performance and quality in image uploads.
- Added localPath retrieval for LoRA entries in RecipeScanner to enhance metadata handling.
- Included shared.css in the main stylesheet for better component styling consistency.
- Removed unused local-badge and local-path styles from download-modal.css and recipe-modal.css to streamline the CSS and improve maintainability.
- Changed the extraction of model ID to use 'id' instead of 'modelVersionId'.
- Updated the retrieval of model name and version to align with the new Civitai response structure, ensuring accurate metadata parsing for LoRA entries.
- Improved error handling and logging for better traceability during metadata fetching.
- Added support for importing recipes via image upload or URL input in the ImportManager.
- Implemented toggle functionality to switch between upload and URL modes, updating the UI accordingly.
- Enhanced error handling for missing fields and invalid URLs during the import process.
- Updated the RecipeRoutes to analyze images from both uploaded files and URLs, returning appropriate metadata.
- Improved the import modal UI to accommodate new input methods and provide clearer user feedback.
- Updated ExifUtils to handle both JPEG/TIFF and non-JPEG/TIFF images for extracting UserComment from EXIF data, improving compatibility with various image formats.
- Introduced A1111MetadataParser to support parsing of images with A1111 metadata format, extracting prompts, negative prompts, and LoRA information.
- Enhanced error handling and logging for metadata parsing processes, ensuring better traceability and debugging capabilities.
- Introduced a new RecipeParserFactory to streamline the parsing of recipe metadata from user comments, supporting multiple formats.
- Removed legacy metadata extraction logic from RecipeRoutes, delegating responsibilities to the new parser classes.
- Enhanced error handling for cases where no valid parser is found, ensuring graceful responses.
- Updated the RecipeScanner to improve the handling of LoRA metadata and reduce logging verbosity for better performance.
- Added functionality to extract and process existing recipe metadata from images, including LoRA details and Civitai information.
- Updated ExifUtils to manage recipe metadata more effectively, including appending and removing metadata from user comments.
- Improved the ImportManager to utilize recipe metadata for setting default recipe names and tags when importing shared recipes.
- Introduced new endpoints for sharing recipes and downloading shared images in RecipeRoutes.
- Implemented logic to process recipe images and append metadata to EXIF data.
- Updated RecipeCard component to handle sharing via API calls, providing user feedback during the process.
- Enhanced error handling for missing recipe IDs and failed API responses.
