Add keyboard navigation support for deleting selected LoRA entries using Backspace key while preventing accidental deletion when editing strength input values. The implementation includes:
- Backspace key now deletes selected LoRA when pressed outside strength inputs
- Backspace is ignored when focused on strength input fields to allow normal text editing
- Added corresponding test cases to verify both deletion and non-deletion scenarios
This prevents users from accidentally deleting LoRA entries while editing strength values and provides intuitive keyboard controls for LoRA management.
Enhanced the `isVideoUrl` function to more accurately detect video URLs by:
- Adding support for URL query parameters and fragments
- Creating helper function `extractExtension` to handle URI decoding
- Checking multiple candidate values from different parts of the URL
- Maintaining backward compatibility with existing video detection
This improves reliability when detecting video URLs that contain query parameters or encoded characters.
- Add getActiveModalFilePath function to resolve current file path from DOM state
- Add updateModalFilePathReferences function to synchronize file path across all modal controls
- Refactor existing code to use new path resolution functions
- Ensure metadata interactions remain in sync after file renames or moves
- Improve robustness by handling cases where DOM state hasn't been initialized yet
Refactor _get_multipart_ext method to use known suffixes list for more reliable file extension detection. The new implementation handles compound file extensions like '.metadata.json.bak' and '.safetensors' by checking against predefined suffixes in order of length. Falls back to existing logic for unknown file types. This improves accuracy when working with model files that have complex naming conventions.
- Normalize folder paths before library bootstrap to ensure consistent structure
- Add _has_configured_paths helper to detect valid folder configurations
- Enhance bootstrap logic to handle edge cases with single libraries and empty paths
- Update library payload construction to use normalized paths
- Add example settings file changes to demonstrate new path structure
The changes ensure more robust library initialization when folder paths are configured at the top level but not properly propagated to individual libraries.
- Add standalone mode detection via LORA_MANAGER_STANDALONE environment variable
- Improve error handling for settings file loading with specific JSON decode errors
- Add startup messages system to communicate configuration warnings and errors to users
- Include settings file path and startup messages in settings API response
- Automatically save settings when bootstrapping from defaults due to missing/invalid settings file
- Add configuration warnings collection for environment variables and other settings issues
The changes improve robustness of settings management and provide better user feedback when configuration issues occur.
- Rename `preview_overrides` to `version_context` to better reflect expanded purpose
- Add file_path and file_name fields to version serialization
- Update method names and parameter signatures for consistency
- Include file metadata from cache in version context building
- Maintain backward compatibility with existing preview URL functionality
The changes provide more comprehensive version information including file details while maintaining existing preview override behavior.
Add a new "Check Model Updates" option to the global context menu that allows users to manually check for model updates. This includes:
- Adding refreshUpdates endpoint to API configuration
- Implementing checkModelUpdates method with proper loading states
- Adding internationalization support for update messages
- Handling success/error states with appropriate user feedback
- Automatically reloading models after update check completes
The feature provides users with manual control over update checks and improves visibility into model update availability.
Add logic to only include model update records that have actual updates in the refresh response. This improves API efficiency by reducing payload size and only returning relevant data to clients.
The change:
- Adds filtering in ModelUpdateHandler.refresh_model_updates to check has_update method
- Only serializes records that have updates available
- Updates corresponding test to verify filtering behavior
This prevents returning unnecessary data for models that don't have updates available.
Update ModelUpdateRecord.has_update() to only detect updates when a newer remote version exists than the latest local version. Previously, any missing remote version would trigger an update, which could include older versions that shouldn't be considered updates.
- Add logic to find the maximum version ID in library
- Only return True for remote versions newer than the latest local version
- Add comprehensive unit tests for the new update detection behavior
- Update docstring to reflect the new logic
Add update_available field to checkpoint, embedding, and LoRA service response formatting. The flag indicates whether a model update is available and defaults to false when not specified.
Include comprehensive tests to verify the update flag is properly included in formatted responses and defaults to false when not present in the payload.
- Refactor update filter logic to use bulk update checks when available
- Add annotation method to attach update flags to response items
- Improve performance by reducing API calls for update status checks
- Maintain backward compatibility with fallback to individual checks
- Handle edge cases and logging for failed update status resolutions
- Add set_version_update_ignore endpoint to toggle ignore status for specific versions
- Add get_model_versions endpoint to retrieve version details with optional refresh
- Update serialization to include version-specific data and preview overrides
- Modify database schema to support version-level ignore tracking
- Improve error handling for rate limiting and missing models
These changes enable granular control over version updates and provide better visibility into model version status.
- 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
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.
- 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.
- Add RateLimitError import and exception handling in API methods
- Create _make_request wrapper to surface rate limit errors from downloader
- Add test case to verify rate limit error propagation
- Set default provider as "civarchive_api" for rate limit errors
This ensures rate limit errors are properly propagated and handled throughout the CivArchive client, improving error reporting and allowing callers to implement appropriate retry logic.
- Add RateLimitError import and _make_request wrapper method to handle rate limiting
- Update API methods to use _make_request wrapper instead of direct downloader calls
- Add explicit RateLimitError handling in API methods to properly propagate rate limit errors
- Add _extract_retry_after method to parse Retry-After headers
- Improve error handling by surfacing rate limit information to callers
These changes ensure that rate limiting from the Civitai API is properly detected and handled, allowing callers to implement appropriate backoff strategies when rate limits are encountered.
- Replace setdefault with get and explicit dict initialization in MetadataUpdater
- Change civitai field type from Optional[Dict] to Dict[str, Any] with default_factory
- Add None check and dict initialization in BaseModelMetadata.__post_init__
- Ensures civitai data is always a dictionary, preventing type errors and improving code reliability
- Add metadata_source field to track origin of model metadata
- Define MODEL_COLUMNS constants for consistent column management
- Refactor SQL queries to use dynamic column selection
- Improve Civitai data detection to include creator_username and trained_words
- Update database operations to handle new metadata field and tag management
Addressed the aiohttp warnings by aligning the test scaffolding with current best practices. Added an AppKey constant and stored the route tracking list through it to satisfy aiohttp’s NotAppKeyWarning expectations. Swapped the websocket lambdas for async no-op handlers so the registered routes now point to coroutine callables, clearing the deprecation warning about bare functions.
- 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.
