Add node mode checks to ensure trigger words are only updated when the stacker node is active (mode 0 for Always or mode 3 for On Trigger). This prevents unnecessary updates when the node is inactive (mode 2 for Never or mode 4 for Bypass), improving performance and ensuring trigger words reflect the actual active state of the node.
The changes include:
- Adding mode checks before updating active LoRA names in the stacker callback
- Modifying collectActiveLorasFromChain to only include active nodes
- Adding comments to clarify node mode behavior
- 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.
