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ComfyUI Video Wrapper - Seamless Video Integration & Processing Nodes
A custom node package for ComfyUI that provides essential tools for integrating and processing videos within generative workflows, enabling easy video-to-video and frame-based operations.
Python
Added on 2025年6月23日3,009
Stars201
ForksPython
LanguageProject Introduction
Summary
This project provides a suite of custom nodes specifically designed to bring robust video integration and processing capabilities into the ComfyUI environment, allowing users to incorporate video content directly into their node-based workflows.
Problem Solved
Integrating video content into image-centric generative AI workflows like those in ComfyUI can be challenging and require external scripting. This project simplifies the process by offering native ComfyUI nodes for seamless video handling from loading to output.
Core Features
Video Loading Node
Easily load various common video file formats directly into your ComfyUI graphs using a dedicated input node.
Frame Extraction Capabilities
Extract individual frames or sequences of frames from loaded videos for processing by other ComfyUI nodes.
Video Output Node
Assemble processed frames back into a video file (MP4, GIF, etc.) using a dedicated output node.
Basic Frame Processing Nodes
Includes nodes for basic video frame manipulations like resizing, cropping, or applying masks before further processing.
Tech Stack
Python
ComfyUI Framework
PyTorch
FFmpeg (external dependency)
Use Cases
The ComfyUI Video Wrapper nodes can be applied to various creative and technical scenarios involving video within AI workflows:
Scenario 1: Video-to-Video Style Transfer or Transformation
Details
Load a source video, process each frame using image generation or manipulation nodes (e.g., style transfer, inpainting), and then save the sequence as a new stylized video.
User Value
Create unique animated visual effects or artistic styles applied consistently across video footage.
Scenario 2: Automated Video Analysis and Pre-processing
Details
Extract frames from a video, use object detection or segmentation models (if integrated in ComfyUI) to process frames, and output modified frames or analyze results.
User Value
Streamline the preparation of video data for further analysis or build automated video understanding pipelines.
Scenario 3: Animated GIF and Short Clip Generation
Details
Load a short video or a sequence of generated frames, process them (e.g., add effects), and output the result as a looping animated GIF file.
User Value
Quickly create shareable animated content from video sources or generated image sequences.
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