Avatarify-python is a real-time face animation tool that uses a PyTorch-based neural network to map facial movements from a live camera feed onto a static image. It creates photorealistic animated avatars that mimic a user's movements for use in video software.
The project includes a remote GPU inference client that offloads heavy computational workloads to a remote server, allowing high-performance animations to run on low-spec hardware. It also features a virtual webcam driver to route synthetic video streams into video conferencing applications as a standard camera device.
The system provides tools for avatar management, including the ability to import custom target images or use generative models to sample synthetic, non-existent human faces. It further implements facial-landmark motion mapping and reference-frame alignment to synchronize the user's facial proportions and pose with the target avatar.