Omni Human 1.5

OmniHuman 1.5 is an avatar animation model developed by ByteDance that converts still images into fully animated digital humans using audio input. It generates synchronized lip movements, facial expressions, and body language by combining audio signals with semantic understanding from Multimodal Large Language Models. The model is built on a dual-system cognitive architecture inspired by System 1 and System 2 theory, enabling both fast reactive animations and deliberate, context-aware responses. It supports a context window of 50,000 tokens and was trained through September 2025.

The model works across a wide range of visual styles, including realistic photographs, anime characters, illustrated portraits, and stylized artwork, as well as non-human subjects like animals and anthropomorphic figures. It can produce videos exceeding one minute in length with dynamic motion, camera movement, and multi-character interactions. OmniHuman 1.5 is suited for use cases such as virtual persona creation, NPC animation in games, AI spokesperson production, virtual instructor development, and video content creation without large production teams. It accepts image URLs and audio URLs as inputs.