Omnihuman
What is Omnihuman?
Omnihuman is an AI model by ByteDance that can animate a still photo of a person to move and speak realistically, driven by an audio track or motion data.
At a glance
- Type of model
- Human video generation and animation model driven by image, audio, and motion inputs
- Developed by
- ByteDance Research
- Key capability
- Full-body human video generation from a single image with audio-driven lip sync and body animation or motion transfer
- How it fits in AI workflow
- Used for creating animated digital human presenters, AI avatar video, talking-head and full-body animation, and motion transfer in video production
- Related terms
- SynthesiaTalking headMotion captureDigital humanLip sync
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How it compares
Both produce human video from relatively minimal input, but Synthesia is a commercial platform focused on AI presenter video for business communication using pre-built or custom avatars, while Omnihuman is a research model focused on technical advancement in full-body human animation from arbitrary single images with broader generalisation.
Pro tip
When animating a person from a single image using models like Omnihuman, image quality matters significantly: use a high-resolution, well-lit reference image with a clear view of the face and full body to get the most natural and consistent animated output.
Types and variations
- Omnihuman is presented as a unified model designed to handle diverse conditions rather than a family of separate variant models.
- Its ability to accept different driving signals ( audio, motion, or combined ) gives it flexibility across different use cases from talking-head video to full-body motion animation within a single architecture.
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Try MorphicCommon use cases
Omnihuman is relevant for creating animated AI presenters and avatars from a single photograph, producing talking-head or full-body video for content creation, virtual try-on and fashion animation, dubbing and audio-driven face and body animation for localisation workflows, and as a research reference point for human video generation capability in AI filmmaking tools.
Ready to create?
Direct scenes, design characters, and ship full films
All-in-one AI creative platform with simple, transparent pricing, no speed throttles, and an infinite Canvas for max creativity.
FAQs
Omnihuman is an AI video generation model developed by ByteDance Research that animates realistic full-body human video from a single reference image, driven by audio or motion input.
Omnihuman was developed by ByteDance Research, the research arm of ByteDance: the company behind TikTok and CapCut.
Omnihuman can animate full-body human subjects: including facial expressions, lip movements, and body motion: not just faces. It is designed to handle diverse body types, clothing, and environments.
Omnihuman supports audio-driven animation, where the person's movements synchronise to a speech or audio track, and motion-driven animation, where movement is transferred from a reference motion source onto the target person.
Omnihuman is a research model from ByteDance. Public availability and commercial deployment depend on ByteDance's release decisions. Check the official research publications and ByteDance's developer platforms for current access options.
Both produce animated human video from minimal input, but Synthesia is a commercial product for AI presenter video, while Omnihuman is a research model pushing the boundaries of full-body human animation from arbitrary images. The underlying research in models like Omnihuman informs the capabilities of commercial tools over time.
