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Wan Lynx AI Video Model In ComfyUI With Vace! This AI Creates High-Fidelity Video Generation!
🕑 Added 2025-10-09 13:00:18 +0000 UTC
Video: https://youtu.be/TJeNdpC_GpY
Discover ByteDance Lynx, the latest breakthrough in high-fidelity personalized video generation—powered by the Wan 2.1 foundation model and now fully compatible with ComfyUI! In this deep dive, we explore how to run Lynx locally using the Wan Video Wrapper, including the key components: ID adapter, reference adapter, and resampler. This setup enables you to generate text-to-video clips with consistent facial identity, even when combining it with Wan 2.1 VACE for advanced motion control.
This tutorial is ideal for AI artists, ComfyUI power users, digital creators, and indie filmmakers who want to produce realistic, character-driven videos without cloud dependency or licensing risks. Whether you're creating AI avatars, animating custom characters, or experimenting with video-to-video style transfer, Lynx gives you unprecedented control over face fidelity and motion consistency—all on your own machine.
Why does this matter? While models like Veo 3 and Sora are making waves, Lynx brings studio-quality face preservation directly into your local workflow—and it’s open-source, customizable, and avoids controversial dependencies like InsightFace. We’ll also show you how to workaround copyright issues by using Segment Anything for face cropping instead of InsightFace, ensuring your projects stay safe for commercial use. Plus, you'll learn how to combine Lynx with Wan 2.1 VACE and ControlNet for dynamic, expressive AI video creation—making this one of the most powerful local video pipelines available today.
Lynx: High-Fidelity Personalized Video Generation
https://byteaigc.github.io/Lynx/
https://huggingface.co/ByteDance/lynx
For ComfyUI:
https://github.com/kijai/ComfyUI-WanVideoWrapper/
https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Lynx
You also need :
pip install facexlib
(from https://github.com/xinntao/facexlib)
