AvatarVid vs SadTalker

AvatarVid has no write-up on Specifiction yet; its figures are above.

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.