Add test coverage for trigger word refresh functionality when LoRA syntax is edited in the input widget. The test verifies that after modifying LoRA syntax in the input field, the connected trigger words are properly updated to reflect the active LoRAs.
Additionally, implement the actual trigger word update logic in lora_loader.js by calling updateConnectedTriggerWords after merging LoRAs, ensuring the UI stays synchronized with the current LoRA state.
- 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.
- Deleted the legacy tags widget implementation from legacy_tags_widget.js.
- Updated trigger_word_toggle.js to directly import the new tags widget.
- Removed unused dynamic import functions and version checks from utils.js.
- Cleaned up lora_loader.js and lora_stacker.js by removing redundant node registration code.
- Added AutoComplete class to handle input suggestions based on user input.
- Integrated TextAreaCaretHelper for accurate positioning of the dropdown.
- Enhanced dropdown styling with a new color scheme and custom scrollbar.
- Implemented dynamic loading of preview tooltips for selected items.
- Added keyboard navigation support for dropdown items.
- Included functionality to insert selected items into the input field with usage tips.
- Created a separate TextAreaCaretHelper module for managing caret position calculations.
- Implemented the WanVideo Lora Select node in Python with input handling for low memory loading and LORA syntax processing.
- Updated the JavaScript side to register the new node and manage its widget interactions.
- Enhanced constants files to include the new node type and its corresponding ID.
- Modified existing Lora Loader and Stacker references to accommodate the new node in various workflows and UI components.
- Added example workflow JSON for the new node to demonstrate its usage.
- 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.
