Implemented a comprehensive notification system with smart deduplication for LayerForge's "Paste Image" operations. The system prevents duplicate error/warning notifications while providing clear feedback for all clipboard operations including success, failure, and edge cases.
Removed duplicate code from CanvasIO.ts and replaced it with unified helpers from ImageUtils.ts. All tensor-to-image conversions and image creation now use centralized utility functions for consistency and maintainability.
Refactored clipspace handling into ClipspaceUtils with validateAndFixClipspace() and safeClipspacePaste() for consistent, defensive logic. Ensures full backward compatibility with all ComfyUI versions and eliminates duplicated code.
Refactored notification utilities for a more modern, reusable notification system and added info/success/error notifications to the background removal (matting) workflow. Removed the custom error dialog in favor of notifications, and exposed all notification types for debugging. Updated imports and cleaned up notification-related code.
Adds a modern, type-based notification UI with support for success, error, info, warning, and alert styles, including a new showAlertNotification function. CanvasState now auto-corrects the node_id widget before saving state and notifies the user if a correction occurs. CanvasView centering logic now uses the actual canvas container for more accurate viewport adjustments.
Moved convertToImage, createMaskFromImageSrc, and canvasToMaskImage from MaskProcessingUtils and mask_utils to ImageUtils for better modularity and reuse. Updated imports in dependent modules to use the new locations. Removed duplicate implementations from mask_utils and MaskProcessingUtils.
Replaces direct usage of document.createElement('canvas') and manual context setup with the createCanvas utility across multiple utility modules. This change improves code consistency, reduces duplication, and centralizes canvas/context creation logic. Also updates notification usage in ClipboardManager to use showNotification and showInfoNotification utilities.
Extracted image upload, mask processing, notification, and preview update logic into dedicated utility modules. Updated MaskEditorIntegration and SAMDetectorIntegration to use these new utilities, reducing code duplication and improving maintainability.
Introduces a 'blendArea' property to layers and UI controls for adjusting it. Implements distance field mask generation in ImageAnalysis.ts and applies the mask during layer rendering for smooth edge blending. Refactors CanvasRenderer to delegate layer drawing to CanvasLayers for proper blend area support.
Introduces a 'visible' property to layers and updates all relevant logic to support toggling layer visibility. Adds visibility toggle icons to the layers panel using a new IconLoader utility, with SVG and fallback canvas icons. Updates rendering, selection, and batch preview logic to respect layer visibility. Also improves blend mode menu UI and ensures new/pasted layers are always added on top with correct z-index.
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.
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.
Introduces a new CanvasLayersPanel component for managing layers visually, including selection, renaming, reordering via drag-and-drop, and deletion. Integrates the panel into the main Canvas and CanvasView, synchronizes selection and state changes, and adds logic for duplicating layers and debounced state saving. Moves IndexedDB state saving to a Web Worker for better performance. Also sets default logger level to DEBUG for improved diagnostics.
Introduces the ability to open the current canvas in a mask editor, upload and retrieve mask edits, and apply them to the mask layer. Adds utility functions for mask editor state detection and control, a new 'Edit Mask' button in the UI, and methods for handling mask updates and preview refresh. Also adds a setMask method to MaskTool for precise mask placement.
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.
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.
Removed Polish-language and redundant comments from multiple modules, including Canvas, CanvasInteractions, CanvasLayers, CanvasRenderer, CanvasState, Canvas_view, Mask_tool, and CommonUtils. This improves code readability and maintainability by reducing clutter and focusing on self-explanatory code.
This commit removes unnecessary and redundant comments from multiple JavaScript modules, streamlining the code and improving readability. No functional changes were made; only comment cleanup and minor formatting adjustments.
Moved CommonUtils.js, ImageUtils.js, and LoggerUtils.js to a new utils/ directory and updated all import paths accordingly throughout the codebase. Also increased the default canvas width in Canvas.js from 512 to 1024.
