Added proper backend validation for both config.json and model.safetensors to confirm model availability. Updated frontend logic to use /matting/check-model response, preventing unnecessary download notifications.
Updated mask loading to immediately use available data from connected nodes and preserve existing masks if none is provided. Backend mask data is only fetched after workflow execution, ensuring no stale data is loaded during connection.
Fixed batch image processing to prevent duplicates and layer deletion while ensuring proper mask loading from input_mask. Images are now added as new layers without removing existing ones, and masks are always checked from backend regardless of image state.
Replaces the local auto-refresh toggle with a node widget property 'auto_refresh_after_generation' in both JS and TS Canvas classes. Updates Python CanvasNode to include this property in the required config and removes 'hidden' from 'trigger' and 'node_id'. This change centralizes auto-refresh state in the node widget for better consistency and UI integration.
Adds specific handling for JSONDecodeError during model loading in Python, returning a clear error message if the model config is corrupted. Updates the JS/TS frontends to show a custom error dialog with details and copy-to-clipboard functionality instead of a simple alert, and ensures spinner removal is safe. This improves user experience and troubleshooting for matting model errors.
Introduced LOG_LEVEL configuration in both Python and JavaScript to control logging verbosity. Updated logger initialization in canvas_node.py and LoggerUtils.js to use the new LOG_LEVEL from config files.
Refines exception handling in the load_model method to provide more informative error messages and re-raise exceptions for upstream handling. Removes boolean return values in favor of exception-based flow, and updates execute to rely on exceptions for error detection.
Introduces a new backend route and method to fetch all images created since a given timestamp, and updates the frontend to import all new images as layers on auto-refresh. This improves workflow by allowing multiple images generated in a single execution to be imported at once, rather than only the most recent image.
Adds checks for missing 'transformers' dependency and network errors in the matting endpoint, returning clear error messages for common failure cases. Updates the frontend to display more informative alerts to users when matting fails, including details from server responses.
Introduces a 'fit_on_add' boolean option to control whether images are fit to the canvas when added or pasted. Updates image addition and paste logic in Canvas, CanvasLayers, and CanvasView to support new placement modes ('fit', 'center', 'mouse', 'default').
Changed the default log level for both Python and JavaScript module loggers from DEBUG to NONE to disable logging by default. Removed the README_LOGGER.md documentation file, and updated README.md to remove a reference to seamless integration.
Set logging level to DEBUG in both Python and JavaScript loggers for improved debugging. Updated MaskTool to accept an onStateChange callback and trigger it after mask state changes, allowing Canvas to respond to mask updates.
Changed the default log level to LogLevel.NONE in both Python and JavaScript logger utilities. Updated LayerForgeLogger to fully disable logging when the effective level is NONE, ensuring no logs are emitted for disabled modules.
Eliminates the 'optional' input_image and input_mask parameters from the CanvasNode class and its process_canvas_image method. Fallback logic for these parameters is also removed, simplifying the code and relying solely on WebSocket cache for image and mask data.
Eliminated the 'cache_enabled' and 'output_switch' parameters and related logic from CanvasNode. This simplifies the node's configuration and processing flow by removing unused or redundant options.
Moved sys.path modification from canvas_node.py to __init__.py for better package management. Improved logger formatting for colored output and enhanced file logging configuration with error handling for log directory creation. Added python/__init__.py to make the 'python' directory a package.
Removed redundant comments and streamlined logic across canvas-related modules, including mask positioning, garbage collection, and WebSocket communication. Improved code readability and maintainability by eliminating unnecessary explanations and clarifying intent in both Python and JavaScript files. No functional changes were made; this is a cleanup and refactor for better developer experience.
Introduces a WebSocket-based mechanism for CanvasNode to send and receive canvas image and mask data in RAM, enabling fast, diskless data transfer between frontend and backend. Adds a new WebSocketManager utility, updates CanvasIO to support RAM output mode, and modifies CanvasView to send canvas data via WebSocket before prompt execution. The backend (canvas_node.py) is updated to handle WebSocket data storage and retrieval, with improved locking and cleanup logic. This change improves workflow speed and reliability by avoiding unnecessary disk I/O and ensuring up-to-date canvas data is available during node execution.
Enhanced the canvas save mechanism to ensure unique file names per node, prevent concurrent saves and executions, and handle missing files more robustly. Switched all logger levels to DEBUG for detailed tracing. Added fallback logic for file naming, improved error handling, and ensured that empty canvases are not saved. These changes improve reliability and traceability of canvas operations, especially in multi-node scenarios.
Introduces concurrency locks in Python and JavaScript to prevent simultaneous processing and saving operations in canvas-related workflows. Adds extensive logging throughout the canvas image processing, saving, and matting routines to aid debugging and trace execution flow. Also improves error handling and state management in both backend and frontend code.
Standardized spacing and object literal formatting across multiple JS files for improved readability and consistency. No functional changes were made. Minor Python formatting adjustment for line length in canvas_node.py.
Introduces a new MaskTool for interactive mask drawing with adjustable brush size, strength, and softness. Updates Canvas.js to integrate mask editing, rendering, and saving, including support for saving images with and without masks. Enhances the UI in Canvas_view.js with mask controls and a dialog for canvas resizing. Updates canvas_node.py to load images without masks for processing. These changes improve user control over mask creation and management in the canvas workflow.
