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Wan 2.7 is now live. Check it out 👉🏼
floyo logo
Powered by
ThinkDiffusion
Pricing
Wan 2.7 is now live. Check it out 👉🏼
Last updated
2026-01-21

All-in-One ComfyUI nodes for video generation, specifically designed for Wan 2.1/2.2, this tool integrates and refines various video node projects into a cohesive framework. It offers users a streamlined experience for generating videos with enhanced motion and color fidelity.

  • Provides multiple nodes for image-to-video conversion with advanced features like motion enhancement and dual-phase sampling.
  • Supports long video generation and seamless continuation from previous segments, improving workflow efficiency.
  • Includes specialized capabilities such as first-last frame interpolation and color protection to maintain visual integrity.

Context

This repository serves as a comprehensive collection of ComfyUI nodes tailored for video generation, focusing on the Wan 2.1/2.2 versions. Its main purpose is to unify and optimize various existing video node projects, allowing users to leverage advanced functionalities for their video creation needs.

Key Features & Benefits

The tool includes several practical features that enhance video generation. Motion enhancement ensures smoother transitions and realistic movements, while color protection prevents unwanted color shifts during processing. The dual-phase sampling feature allows for better noise management, enabling users to create high-quality videos with distinct semantic and motion elements.

Advanced Functionalities

Among its advanced capabilities, the tool features first-last frame interpolation, which anchors the start and end frames for improved continuity in video segments. Additionally, the dual-phase sampling provides a more nuanced approach to video generation, separating high noise for motion from low noise for semantic accuracy, which is particularly beneficial for complex video projects.

Practical Benefits

By consolidating multiple functionalities into a single framework, this tool significantly enhances workflow efficiency in ComfyUI. Users gain greater control over video quality and can achieve more polished results with less effort. The ability to seamlessly continue from previous video segments also streamlines the creative process, allowing for more extensive and coherent video projects.

Credits/Acknowledgments

This project is credited to contributors including princepainter and wallen0322, as well as the Wan2.1/2.2 Team and the broader ComfyUI Community. It is licensed under the MIT License.

Inner Nodes

PainterI2V