
Video : https://youtu.be/yypmE5VXkro
In this video, we explore MoCha New Fine-Tuned Video Model based on WAN 2.1 that enables high-quality character replacement in videos using just a single reference frame. Unlike WAN 2.2 Animate, Mocha doesn’t require complex ControlNet setups or multi-frame masking, making it faster and easier to use while still delivering impressive results with dynamic lighting, facial fidelity, and motion tracking. This tutorial walks you through running Mocha in ComfyUI, optimizing workflows, and enhancing output with tools like Qwen Image Edit for automatic face close-ups. Whether you're an AI animation enthusiast, a content creator experimenting with character swaps, or a developer working on generative video pipelines, this guide gives you everything you need to get started. Understanding Mocha matters because it represents a simpler, more accessible path to professional-grade video character replacement—without the heavy technical overhead.
Who is this for?
AI video creators, anime-style animation hobbyists, ComfyUI users, generative AI developers, digital artists exploring character replacement, and tech-savvy YouTubers interested in next-gen video editing tools.
End-to-End Video Character Replacement without Structural Guidance
https://orange-3dv-team.github.io/MoCha/
https://github.com/Orange-3DV-Team/MoCha
https://huggingface.co/Orange-3DV-Team/MoCha
https://huggingface.co/Kijai/WanVideo_comfy_fp8_scaled/tree/main/MoCha
Workflow in this tutorial attached below :
Benjamin Law
2025-10-26 18:26:26 +0000 UTCBrandon Waters
2025-10-26 17:57:07 +0000 UTCBenjamin Law
2025-10-26 16:32:07 +0000 UTCaimusclework
2025-10-26 16:23:52 +0000 UTC