OmniHuman AIOmniHuman AI

Generator realistic human videos

OmniHuman AI is an advanced AI framework by ByteDance that generates realistic human videos from a single image and motion signals.

Key Features of OmniHuman AI

Realistic Lip Sync and Gestures

Precisely matches lip movements and gestures to speech or music, making the avatars feel natural.

Supports Various Inputs

Handles portraits, half-body, and full-body images seamlessly. Works with weak signals, such as audio-only input, producing high-quality results.

Animation Beyond Humans

Omnihuman-1 capable of animating cartoons, animals, and artificial objects for creative applications.

High-Quality Output

Generates photorealistic videos with accurate facial expressions, gestures, and synchronization.

Multimodality Motion Conditioning

Combines image and motion signals like audio or video to create realistic videos.

Versatility Across Formats

Can generate videos in different aspect ratios, catering to various content types.

Generated Videos for OmniHuman AI

OmniHuman supports various visual and audio styles.

FAQ

Frequently Asked Questions About OmniHuman AI

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1

What is OmniHuman AI, and how does it work?

OmniHuman AI is an AI framework developed by ByteDance that generates realistic human videos from a single image and a motion signal, like audio or video. It uses multimodal motion conditioning to translate these inputs into lifelike movements, gestures, and expressions.

2

Can OmniHuman AI create videos from any type of image?

Yes, OmniHuman AI works with portraits, half-body, and full-body images. It can also animate non-human subjects, such as cartoons or animals, making it highly versatile.

3

What industries can benefit from OmniHuman AI?

OmniHuman AI has applications in various fields, including:1.Entertainment: AI-generated actors and avatars;2.Education: Animating historical figures or teaching materials;3.Retail: Personalized shopping experiences.

4

Is OmniHuman AI available for public use?

Not yet. OmniHuman AI is currently in the research phase. The developers have shared demos and hinted at a code release in the future, but it’s not accessible to the public at this time.