HuMo ByteDance’s New Reference2Video With Audio Lipsync - Keep Or Toss?

Video : https://youtu.be/DB7wGLFp4LQ

AI video generation with HuMo — the new human-centric model from ByteDance and Tsinghua University. In this hands-on tutorial, I’ll walk you through how to install, configure, and generate talking character videos using HuMo in ComfyUI. Whether you’re feeding it text + audio, text + image, or all three together, you’ll learn how to create cinematic, lip-synced avatars with realistic expressions — all from your local PC or cloud GPU.

This content is perfect for AI video creators, indie filmmakers, digital artists, and content producers who want to push beyond basic avatar tools. If you’ve used Wan 2.1, MultiTalk, or Infinite Talk — this is your next-level upgrade. HuMo lets you control character appearance, motion, and audio sync like never before, making it ideal for YouTube intros, game cutscenes, social media skits, or even AI-powered short films.

Why does this matter? Because HuMo represents a major leap in controllable, multimodal video generation. It’s not just another talking head — it’s a unified system that understands how text, image, and sound work together to create believable human motion. Mastering it now puts you ahead of the curve as AI video tools evolve from novelty to necessity.

HuMo: Human-Centric Video Generation via Collaborative Multi-Modal Conditioning

By Tsinghua University | Intelligent Creation Team, Bytedance

https://phantom-video.github.io/HuMo/

https://huggingface.co/bytedance-research/HuMo

Kijai/WanVideo_comfy

https://huggingface.co/Kijai/WanVideo_comfy/tree/main/HuMo

Workflow : https://github.com/kijai/ComfyUI-WanVideoWrapper/blob/main/example_workflows/wanvideo_HuMo_example_01.json

HuMo is a unified, human-centric video generation framework designed to produce high-quality, fine-grained, and controllable human videos from multimodal inputs—including text, images, and audio. It supports strong text prompt following, consistent subject preservation, synchronized audio-driven motion.

​​VideoGen from Text-Image​​ - Customize character appearance, clothing, makeup, props, and scenes using text prompts combined with reference images.

​​VideoGen from Text-Audio​​ - Generate audio-synchronized videos solely from text and audio inputs, removing the need for image references and enabling greater creative freedom.

​​VideoGen from Text-Image-Audio​​ - Achieve the higher level of customization and control by combining text, image, and audio guidance.

#comfyui #bytedance #aivideo #aivideogenerator