InfiniteTalk vs SadTalker
InfiniteTalk
github.comSadTalker
github.comSide by side
| Figure | InfiniteTalk | SadTalker |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · AI Video Lip Sync Tools | 7.4 (#18) | 7.7 (#12) |
| Integrations | The repository links community support for ComfyUI and Wan2GP and provides a Gradio interface. | The README says SadTalker is integrated into Discord and offers a Stable Diffusion WebUI extension. |
| License | The model weights are licensed under Apache 2.0, and the repository says users are responsible for lawful use of generated content. | The repository license identifies Apache 2.0 as the SadTalker license, except for listed third-party components. |
| Purpose | InfiniteTalk generates audio-synchronized talking videos from a source video and audio, or animates a single image using audio. | SadTalker generates a talking-head video from a single portrait image and speech audio. |
| Support | The repository provides installation and inference instructions and accepts issues through GitHub; it does not describe a paid support plan on the page. | The README directs users to its FAQs before opening an issue and links to project discussions. |
Plans
In their own words
InfiniteTalk
InfiniteTalk has no write-up on Specifiction yet; its figures are above.
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.