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.
