- Updated lora_loader.js to dynamically import the appropriate loras widget based on ComfyUI version, enhancing compatibility and maintainability.
- Enhanced loras_widget.js with improved height management and styling for better user experience.
- Introduced utility functions in utils.js for version checking and dynamic imports, streamlining widget loading processes.
- Improved overall structure and readability of the code, ensuring better performance and easier future updates.
- Introduced a mechanism to dynamically import either the legacy or modern tags widget based on the ComfyUI frontend version.
- Updated the `addTagsWidget` function in both `tags_widget.js` and `legacy_tags_widget.js` to enhance tag rendering and widget height management.
- Improved styling and layout for tags, ensuring better alignment and responsiveness.
- Added a new serialization method to handle potential issues with ComfyUI's serialization process.
- Enhanced the overall user experience by providing a more modern and flexible tags widget implementation.
- 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.
- 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.
- Updated RecipeModal.js to dynamically handle video and image previews based on the file type.
- Modified recipe-modal.css to ensure proper styling for both images and videos.
- Adjusted recipe_modal.html to accommodate the new media handling structure.
- Added a check to prevent saving if the base model value has not changed.
- Stored the original value during editing to compare with the new selection.
- Updated the saveBaseModel function to accept the original value for comparison.
- Introduced new styles for base model display and editing in lora-modal.css.
- Enhanced LoraModal.js to support editing of the base model with a dropdown selector.
- Implemented save functionality for the updated base model, including UI interactions for editing and saving changes.
- 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.
- Added new dependencies: piexif, Pillow, and requests to enhance image processing and HTTP request capabilities.
- Ensured consistency between pyproject.toml and requirements.txt by including the same set of dependencies.
- 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.
- Updated CSS for the theme toggle component to ensure relative positioning for the container.
- Centered light and dark icons within the theme toggle using absolute positioning and transform properties.
- Added transition effects for opacity to enhance visual feedback during theme changes.
- Added functionality to load settings from localStorage in the SettingsManager, ensuring user preferences are retained across sessions.
- Updated the state management to initialize settings from localStorage, improving user experience.
- Refactored the UpdateService to streamline update notification preferences.
- Improved migration logic in storageHelpers to prevent duplicate migrations and ensure data integrity.
- Removed unnecessary console logs for cleaner output in various modules.
- 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.
- Updated CSS for recipe modal to improve layout and responsiveness, including adjustments to header and badge styles.
- Added tooltip positioning logic to ensure correct display of local-badge tooltips on hover.
- Refactored HTML structure for local status badges to enhance stability and positioning.
- Removed unnecessary console logs from recipe fetching process in JavaScript for cleaner output.
- 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.
- Added new Android icon images (192x192 and 512x512) for better app integration.
- Created site.webmanifest file to define app metadata and icon usage for Progressive Web App (PWA) functionality.
- Deleted the site.webmanifest file as it is no longer needed.
- Simplified state management by removing initPageState from RecipeManager and integrating it into HeaderManager.
- Cleaned up console logging in loraApi.js to reduce unnecessary output.
- Minor formatting adjustments in FilterManager to enhance code readability.
- Migrated CSS styles from recipe-card.css to card.css for better organization.
- Updated recipe card class names in HTML to align with new styling conventions.
- Enhanced card layout with additional flex properties for improved responsiveness.
- Adjusted infinite scroll debounce timing for better performance.
- 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.
- Implemented display of recipe tags in a compact format within the RecipeModal.
- Added tooltip for additional tags with hover functionality.
- Updated CSS styles for recipe tags and tooltips to enhance visual presentation.
- Adjusted layout and padding in related components for improved aesthetics.
- 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.
- Removed deprecated global functions from RecipeManager to streamline the API and enhance clarity.
- Updated the import handling in ImportManager to directly call loadRecipes on the RecipeManager, ensuring better integration.
- Adjusted the recipes.html template to utilize the ImportManager for showing the import modal, improving code consistency.
- 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.
- Removed redundant updatePanelPositions calls from various components and centralized the logic in the uiHelpers.js for better maintainability.
- Introduced appendRecipeCards function in RecipeManager to streamline the addition of recipe cards from search results.
- Cleaned up unused code related to search input handling and recipe loading, improving overall code clarity and performance.
- Updated HeaderManager and SearchManager to utilize the new updatePanelPositions function, ensuring consistent panel positioning across the application.
- 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.
- Introduced a new hierarchical state structure to manage global and page-specific states, enhancing organization and maintainability.
- Updated various managers and components to utilize the new state structure, ensuring consistent access to page-specific data.
- Removed the initSettings function and replaced it with initPageState for better initialization of page-specific states.
- Adjusted imports across multiple files to accommodate the new state management approach, improving code clarity.
Will Miao