- 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.
- Pass modelType parameter to setupTagEditMode function
- Implement model type aware priority tag suggestions
- Add model type normalization and resolution logic
- Handle suggestion state reset when model type changes
- Maintain backward compatibility with existing functionality
The changes enable context-aware tag suggestions based on model type, improving tag relevance and user experience when editing tags for different model types.
