FaceFusion is an open-source AI tool based on deep learning, primarily used for high-quality face swapping, facial enhancement, and lip-sync processing in images, videos, and live streams.
Its core code is open-source on GitHub and can be deployed locally for free. A paid simplified installation version is also available for Windows and macOS, priced at $20 and $30 respectively.
We recommend an NVIDIA GPU with at least 12GB VRAM and 32GB or more of RAM for a smooth experience. It also supports CPU-only mode, but processing will be slower.
Supports a fully local operation mode; all data processing occurs on the user's own device with no cloud uploads, effectively safeguarding privacy and security.
Yes. FaceFusion supports real-time face swapping via a camera or video stream, suitable for live streaming and other scenarios requiring instant processing.
FaceFusion is considered the next-generation iteration of the Roop project, with numerous optimizations and enhancements in features, performance, and user experience.

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