- Import applySelectionHighlight in lora_loader and lora_stacker
- Pass onSelectionChange callback to loras_widget to handle selection changes
- Implement selection tracking and payload building in loras_widget
- Emit selection changes when LoRA selection is modified
- Update tags_widget to support highlighted tag styling
This provides visual feedback when LoRAs are selected by highlighting associated trigger words in the interface.
- Add onDragStart and onDragEnd callbacks to initDrag function
- Implement preview suppression during and briefly after strength dragging
- Clear preview timer on drag start/end to prevent tooltip conflicts
- Update tests to verify drag callbacks are properly triggered
This prevents tooltip previews from interfering with drag interactions and provides better control over drag lifecycle events.
- Implement core LoRA syntax manipulation functions including:
- applyLoraValuesToText for updating LoRA strengths and clip values
- normalizeStrengthValue for consistent numeric formatting
- shouldIncludeClipStrength for clip strength inclusion logic
- cleanupLoraSyntax for text normalization
- debounce utility for input handling
- Add comprehensive test suite covering all utility functions
- Include edge cases for clip strength handling, numeric formatting, and syntax cleanup
- Support both basic and expanded LoRA syntax formats with proper value preservation
- Enable debounced input synchronization for better performance
The utilities provide robust handling of LoRA syntax patterns while maintaining compatibility with existing ComfyUI workflows.
- Replace inline styles with CSS classes for better maintainability
- Update class names to use consistent 'lm-' prefix across components
- Add comprehensive CSS stylesheet with tooltip system and responsive layouts
- Improve accessibility with proper focus states and keyboard navigation
- Implement hover and active state transitions for enhanced UX
- Refactor expand button to use CSS classes instead of inline styles
- Update test files to reflect new class naming convention
Refactor focus navigation logic in LoRA widget to separate focus queueing from execution. Added helper functions for finding focus entries and managing focus queue. This improves code organization and prevents focus issues when tabbing between strength and clip inputs.
Key changes:
- Extract focus navigation logic into reusable functions
- Separate focus queueing from focus execution
- Maintain same keyboard navigation behavior while improving code structure
- Fix potential focus loss when tabbing between inputs
The refactoring makes the focus navigation code more maintainable and reduces duplication while preserving the existing tab navigation functionality.
Add pendingFocusTarget state to track which LoRA strength input is being interacted with. This ensures proper focus behavior when clicking on strength inputs, particularly when the widget is being re-rendered. The focus is now properly restored to the correct input after UI updates.
- 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 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 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.
- 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.
- 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.
