Changed the default log level from DEBUG to NONE in both Python and JavaScript logger utilities. This reduces log output unless explicitly configured otherwise.
Introduces a backend API endpoint to load images from local file paths and return them as base64-encoded PNGs. Updates CanvasLayers.js to detect image file paths in the clipboard, validate them, and attempt to load images using multiple strategies, including the new backend endpoint, ComfyUI view endpoints, and a file picker fallback. Also updates canvas context creation to use the 'willReadFrequently' option for improved performance.
Introduces a new 'show_preview' boolean option to CanvasNode and UI, allowing users to toggle the visibility of the canvas image preview widget. Updates Canvas.js with a setPreviewVisibility method to control the preview's display and size, and hooks this logic into CanvasView.js to respond to the new option. Adds detailed debug logging for widget state and size changes.
Changed the default log level from NONE to DEBUG in both canvas_node.py and LoggerUtils.js to improve logging visibility during development. Added js/REFACTORING_GUIDE.md with detailed documentation on the recent Canvas module refactor, outlining architectural changes, migration instructions, and developer notes.
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.
