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World's best real-time GPU-based model for expressive facial movement. Self-hostable.
bitHuman makes a single character image feel alive in live conversations—natural lip motion, subtle head movement, and believable facial expression that tracks what is being said and how it is being said. This matters most in the places people actually use avatars: video conferencing, virtual chat, and customer-facing experiences.
Most talking-face systems either look robotic (only the mouth moves) or they look unstable (small flickers, jitter, or inconsistent motion over time). Many also take too long to generate, which breaks the illusion of "being live." These challenges—keeping video consistent over time and generating quickly enough for practical use—are central to building effective real-time avatar systems.
Flow matching teaches the system a smooth, reliable path from a still portrait to a sequence of natural facial movements.
Instead of repeatedly "trying and correcting" many times (which slows things down and can introduce inconsistency), flow matching learns how to move steadily toward the right facial motion in a small number of steps—so the result is both fast and stable. We use flow matching as a fast, high-quality approach to generate natural talking motion.
bitHuman's advantage is simple: speed and stability without sacrificing expressiveness. The research underpinning this approach reports that it outperforms prior methods on visual quality, motion realism, and efficiency.
With bitHuman, you can deploy an avatar that:
bitHuman is the world's best real-time GPU avatar engine for expressive facial movement—delivering live, stable, emotion-aware talking faces that feel present, not pre-rendered. Powered by flow matching, bitHuman achieves best-in-class speed and visual consistency while preserving the subtle expressions that make avatars truly believable.