- Change `STRING` input type to `AUTOCOMPLETE_TEXT_LORAS` in LoraManagerLoader, LoraStacker, and WanVideoLoraSelectLM nodes for LoRA syntax input
- Change `STRING` input type to `AUTOCOMPLETE_TEXT_EMBEDDINGS` in PromptLoraManager node for prompt input
- Remove manual multiline, autocomplete, and dynamicPrompts configurations in favor of built-in autocomplete types
- Update placeholder text for consistency across nodes
- Remove unused `setupInputWidgetWithAutocomplete` mock from frontend tests
- Add Vue app cleanup logic to prevent memory leaks in widget management
- Fix infinite reinitialization loop by only validating stale widget.inputEl when it's actually in DOM
- Improve findWidgetInputElement to specifically search for textarea for text widgets, avoiding mismatches with checkbox inputs on nodes like WanVideo Lora Select that have toggle switches
- Add data-node-id based element search as primary strategy for better reliability across rendering modes
- Fix autocomplete initialization to properly handle element DOM state transitions
Fixes autocomplete failing after Canvas ↔ Vue DOM mode switches and WanVideo node always failing to trigger autocomplete.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
- Change lifecycle hook from nodeCreated to loadedGraphNode in Lora Loader, Lora Stacker, and TriggerWord Toggle nodes
- Remove requestAnimationFrame wrappers as loadedGraphNode ensures proper initialization timing
- Maintain same functionality for restoring saved values and widget initialization
- Improves reliability by using the appropriate node lifecycle event
- 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 property descriptor to listen for mode changes in Lora Loader and Lora Stacker nodes. When node mode changes, automatically update connected trigger word toggle nodes and downstream loader nodes to maintain synchronization between node modes and trigger word states.
- Lora Loader: Updates connected trigger words when mode changes
- Lora Stacker: Updates connected trigger words and downstream loaders when mode changes
- Both nodes log mode changes for debugging purposes
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.
