MuseTalk
Tencent lip-sync model that rewrites the mouth region of a face video to match new speech audio.
About
Tencent Music's Lyra Lab built MuseTalk to redraw the mouth area of a face so it follows a new speech track, useful for dubbing footage or animating a still portrait. Rather than running many diffusion steps, it fills in the lower face in one pass inside a frozen VAE latent space, reusing a UNet design taken from Stable Diffusion 1.4 and feeding it Whisper-tiny audio features through cross-attention. Version 1.5 added GAN, perceptual, and sync losses for crisper output, and in April 2025 the team opened the two-stage training pipeline along with preprocessing scripts. The repo includes batch and live inference scripts, a Gradio app, and weight download helpers for Linux and Windows. The face crop is 256 by 256 pixels, so close-ups benefit from a restorer such as GFPGAN. The authors report 30 fps or more on a V100 and show a 4 GB RTX 3050 Ti laptop finishing an 8 second clip in roughly five minutes at fp16. Code is MIT and the weights are cleared for commercial work, though bundled parts like Whisper, DWPose, and S3FD keep their own terms. A sensible pick for avatar, localization, and virtual presenter projects.
Should you use MuseTalk?
Pick it when
Pick it for live avatars, interactive agents, or high-volume lip sync where speed matters: it reaches 30+ fps on a V100 and still runs on 6 GB cards, and its MIT code and weights are cleared for commercial use.
Look elsewhere when
Skip it when you need a full talking head from one photo: it is a lip-sync model focused on the mouth, so use EchoMimic or HunyuanVideo-Avatar for head motion and expressions. For offline dubbing, also weigh LatentSync.
Alternatives to MuseTalk
- LatentSync
Apache-2.0 diffusion lip sync with anime support and a sharper 512x512 version 1.6, but heavier at 8 to 18 GB and aimed at offline dubbing.
- EchoMimic
Generates head motion and expressions from one photo plus audio, with editable landmarks, Apache-2.0 on 8 GB, but about 50 s per 240 frames on a V100, far from real time.
- LivePortrait
Also near real time and light at 6 GB under Apache-2.0, but it moves the face from a driving video rather than audio, suiting puppeteering over speech-driven avatars.
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Details
- Category
- AI Animation & Motion
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Intermediate (3/5)
- License
- MIT
- Minimum VRAM
- 6 GB
- Added
- Apr 3, 2026