Removed the unused 'type' field from the feature request issue template. Improved the release workflow to fetch commit history since the last version tag instead of the last tag, ensuring more accurate changelog generation.
When the preview is disabled in the canvas widget, a 1x1 transparent PNG placeholder image is now set to node.imgs. This prevents issues with missing images and ensures consistent UI behavior.
Adds a window blur event listener to reset key states and interaction modes when the window loses focus. This prevents stuck key states and finalizes any in-progress cloning drags, improving interaction reliability.
Adds the willReadFrequently: true option to all getContext('2d') calls on temporary canvases in Canvas, CanvasLayers, and SAMDetectorIntegration modules. This improves performance for frequent pixel data reads, addressing potential browser optimization issues.
Moved all SAM Detector integration logic from CanvasView to a new SAMDetectorIntegration module for better maintainability and separation of concerns. Updated CanvasView to use the new integration functions and removed duplicate code.
Added debouncing to the updateOutput function to prevent excessive updates during rapid changes. Large images are now handled using blob URLs for better performance, while small images use data URIs. Also added logic to skip output updates when preview is disabled and improved cleanup of temporary file trackers when nodes are removed.
Introduces the addMask method to MaskTool in both JS and TS implementations, allowing new masks to be overlaid without clearing existing ones. Updates CanvasView to use addMask instead of setMask when applying SAM detector results.
Replaces polling-based monitoring of SAM Detector results with a MutationObserver that detects modal closure and style changes. Adds fallback to polling if modal is not found, and provides user notification if no mask is applied. This improves reliability and user feedback when applying masks from the SAM Detector.
Eliminates the sendCanvasToClipspace method and related UI/menu options from CanvasView and its TypeScript counterpart, as well as the associated type definition. Also removes the unused maskContext getter from MaskTool. This refactor likely reflects a change in feature requirements or a move away from Impact Pack compatibility.
Introduces automatic registration of canvas images in ComfyUI's clipspace for Impact Pack compatibility, including a new 'Send to Clipspace' menu option and a method on ComfyNode. Adds monitoring and mask application for SAM Detector results, ensuring seamless mask transfer to LayerForge. Also exposes MaskTool's maskContext property for external access.
The release workflow now fetches the full git history and displays all commit messages since the last tag in the release notes, instead of only the latest commit. Also bumps the project version to 1.3.8 in pyproject.toml.
Moved layer drawing logic into CanvasLayers._drawLayer and _drawLayers methods, replacing repeated rendering code in CanvasIO and CanvasLayers. This improves maintainability and ensures consistent handling of layer properties such as blend mode, opacity, rotation, and flipping. Also, fixed layer serialization to only generate imageId when missing, and ensured new layers have flipH/flipV set when created from matted images.
Refactors horizontal and vertical mirroring to toggle flipH/flipV properties on layers instead of modifying image data. Updates rendering logic in CanvasLayers and CanvasRenderer to apply horizontal/vertical flipping via canvas transforms. Adds flipH and flipV to Layer type and includes them in state signature calculation.
Replaces setPreviewVisibility(false) with direct assignment to previewVisible in Canvas and Canvas.ts. Adds initialization of preview state based on widget value in CanvasView and CanvasView.ts to ensure correct preview visibility on widget creation.
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.
Expanded the bug report template to include step-by-step instructions for enabling DEBUG logs in both frontend and backend, and added a required field for backend logs. Clarified instructions for gathering browser console logs and emphasized the need for up-to-date versions before reporting. These changes aim to help users provide more actionable information for debugging.
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.
Moved inline CSS from CanvasView.js to a dedicated canvas_view.css file and added dynamic stylesheet loading. Extracted tooltip and shortcut HTML into separate template files and implemented a ResourceManager utility for loading stylesheets and templates. Updated CanvasInteractions.js and CanvasView.js to use the new resource management and template loading approach, improving maintainability and modularity.
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 'generationArea' context for batch image generation, ensuring that batch preview outlines and image placement remain accurate when the canvas is moved or resized. Updates related logic in Canvas, CanvasInteractions, CanvasLayers, and CanvasRenderer to track and render the correct area, and synchronizes context updates across user interactions.
Refactored batch preview management to allow multiple BatchPreviewManager instances per canvas. Updated positioning logic to use an initial spawn position, adjusted UI updates, and ensured batch preview menus move correctly with canvas panning. Removed single-instance references and updated related event handling.
Added draggable functionality to the batch preview menu, allowing users to reposition it within the canvas using world coordinates. The menu's position now updates with viewport changes, and its initial placement is centered below the output area. Also refactored logic to show the menu with new layers instead of adding to an existing batch.
Introduces an addLayers method to BatchPreviewManager for adding new layers to an active batch preview or showing the UI if inactive. Updates Canvas to use addLayers instead of show, and fixes a bug where new layers were only added if more than one was present.
Introduces support for a 'drawingMask' interaction mode in CanvasInteractions. Mouse events are now delegated to the maskTool when in this mode, and the canvas is re-rendered after each relevant event.
BatchPreviewManager now automatically hides the mask overlay when batch preview starts and restores its previous state when preview ends. The mask toggle button's state and label are updated accordingly. Also, mask toggle button IDs are now unique per canvas node.
Introduces BatchPreviewManager for reviewing and confirming multiple imported layers after auto-refresh. Adds a toggle button for mask overlay visibility in the UI and updates mask rendering logic to respect overlay visibility. Also refactors image import to return new layers and adds a utility for removing layers by ID.
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.
Introduces an 'Auto-refresh after generation' toggle to the Canvas. When enabled, the latest image is automatically imported after a successful execution event. Also ensures event listeners are properly cleaned up when the node is removed.
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.
