Multimodal Understanding of Faces
RealFace was built from the ground up to deeply understand on-screen faces and faithfully adapt them. With full-scene awareness, it delivers frame-accurate lip sync and expression transfer across languages.
Built for Real-World Complexity
Unlike avatar‑based models that falter when scenes get complicated, our system preserves visual integrity across multiple speakers, rapid movement, shifting light, and changing camera angles.
Preserves Speaker Identity and Style
Our model faithfully retains person-specific gestures, micro-expressions, and mouth movements, ensuring that the speaker’s emotional presence and authenticity carry through, no matter the language.
Highly Efficient Architecture
The model is optimized for performance, with under 1B parameters and minimal overhead, achieving ~10x real-time generation on standard GPUs like a single NVIDIA A10.