Add localization strings for new model management functionality:
- Copy checkpoint and embedding name actions
- Send checkpoint and embedding to ComfyUI workflow
- Error messages for missing model paths and workflow compatibility
- Node selection validation messages
These additions support upcoming features for better model handling and workflow integration.
- Add capabilities parsing and validation for node registration
- Implement widget_names extraction from capabilities with type safety
- Add supports_lora boolean conversion in capabilities
- Include comfy_class fallback to node_type when missing
- Add new update_node_widget API endpoint for bulk widget updates
- Improve error handling and input validation for widget updates
- Remove unused parameters from node selector event setup function
These changes improve node metadata handling and enable dynamic widget management capabilities.
- 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
- Rename ui_utils.js to top_menu_extension.js to better reflect functionality
- Replace custom button creation with ComfyUI Button and ButtonGroup components
- Implement proper top menu integration using ComfyUI's menu system
- Simplify window opening logic with shift-click support for new windows
- Add retry mechanism for attaching button to menu
- Improve code organization and maintainability by leveraging existing UI components
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.
Add support for {model_name} and {version_name} placeholders in download path templates. These new placeholders allow for more flexible and descriptive file organization by including the actual model name and version name in the download directory structure.
Changes include:
- Updated download_manager.py and utils.py to handle new placeholders
- Added placeholders to constants.js for UI reference
- Updated settings modal template to show available placeholders
- Added comprehensive tests to verify placeholder functionality
This enhancement provides users with more control over how downloaded models are organized on their file system.
Add initialization tracking to prevent multiple event listener attachments
in context menu components. Use dataset.initialized flag to ensure NSFW
selector events are only set up once per component instance.
In ModelContextMenuMixin, replace DOM elements and reattach event listeners
to avoid duplicates when components are reinitialized. This fixes issues
where multiple click handlers could be attached to the same elements.
- Pass ModelUpdateService to CheckpointService, EmbeddingService, and LoraService constructors
- Add has_update query parameter filter to model listing handler
- Update BaseModelService to accept optional update_service parameter
These changes enable model update functionality across different model types and provide filtering capability for models with available updates.
