Muse vs SadTalker
Muse
github.comSadTalker
github.comSide by side
| Figure | Muse | SadTalker |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · AI Video Lip Sync Tools | 8.4 (#6) | 7.7 (#12) |
| License | The repository identifies Muse as open-source and provides an MIT license. | The repository license identifies Apache 2.0 as the SadTalker license, except for listed third-party components. |
| Setup requirements | Muse requires Python 3.10 or later and downloads about 3 GB of machine-learning models on first run. | The documented Linux setup uses Python 3.8, PyTorch, FFmpeg, and the repository requirements; Windows setup also requires Python, Git, FFmpeg, and model files. |
Plans
In their own words
SadTalker
SadTalker creates a talking-head video from a portrait image and speech audio. It derives 3D head-pose and facial-expression coefficients from the audio to animate the face. The project describes still, reference, and resize modes, along with full-image animation. Command-line examples include GFPGAN enhancement. You can use a local Gradio demo or command-line inference, with setup paths for Linux, Windows, and macOS; Hugging Face and Colab demos are also linked. The documented Linux setup includes Python 3.8, PyTorch, FFmpeg, and the repository requirements. Windows setup also calls for Python, Git, FFmpeg, and model files. Pre-trained models are linked from Google Drive, GitHub Releases, and Baidu. The project says its open-source code runs offline and collects no personal information or other data. SadTalker is free at free under Apache 2.0, except for listed third-party components. Output is 720p or lower and has no watermark. Integrations include Discord and a Stable Diffusion WebUI extension.