This tool is an extension for ComfyUI that facilitates the bulk loading of video frames, enabling users to perform masking and sketching operations on each frame through an intuitive graphical user interface. It streamlines the process of manipulating video content for creative projects by providing easy access to frame data and editing capabilities.
- Supports both sequential image loading from directories and direct video file input, enhancing flexibility in workflow.
- Features a comprehensive mask editor that allows for both automatic and manual masking options, providing users with precise control over their edits.
- Includes functionality to copy and paste masks between frames, as well as undo/redo capabilities, improving efficiency during the editing process.
Context
This extension, known as the Sequential Image Loader, is designed for use within ComfyUI, a user-friendly interface for AI image generation. Its primary purpose is to simplify the process of extracting and editing frames from videos, making it easier for artists and creators to work with animated content.
Key Features & Benefits
The Sequential Image Loader allows users to load multiple frames from a video or a directory at once, which saves time compared to processing images individually. The integrated mask editor provides versatile tools for both automatic and manual masking, enabling users to choose the method that best suits their project needs.
Advanced Functionalities
The tool includes an advanced mask editor that supports various functionalities such as frame switching, mask clearing, and thickness adjustment. Users can also paste masks from previous frames, which is particularly useful for maintaining consistency across edits. Additionally, the editor supports keyboard shortcuts for undoing and redoing actions, streamlining the workflow.
Practical Benefits
By utilizing this extension, users can significantly enhance their workflow efficiency when working with video frames in ComfyUI. The ability to manipulate multiple frames simultaneously, combined with robust editing features, allows for greater creative control and improved output quality.
Credits/Acknowledgments
The extension is built on contributions from various developers, with specific acknowledgment to the original authors and the use of the getVideoFrames.js library for extracting frames from MP4 videos. The repository is open-source, allowing for community collaboration and innovation.