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OmniHuman is a multimodal human video generation model that takes one image (portrait, half-body, or full-body) and animates it using audio or video motion inputs. It supports different aspect ratios and styles, from photorealistic humans to cartoons and stylized characters, while keeping motion, lighting, and texture very natural. The system also handles weak signals like audio-only, still producing smooth, synchronized lip movements and gestures.
A common use is creating talking or singing avatars from a single photo for social media, tutorials, product explainers, or virtual presenters. Users can also do motion transfer, where a reference dance or performance video is used to drive a new character, making it useful for music videos, VTubers, and virtual influencers. Because it supports cartoons, animals, and objects, it also fits creative animation, interactive experiences, and game assets.
OmniHuman Video Generation is helpful for:
Content creators, VTubers, and streamers who want expressive digital avatars without complex motion capture.
Marketers and brands building virtual hosts, spokespeople, or influencers for campaigns and product videos.
Educators and trainers making talking-head lessons, explainers, and multilingual avatar videos from simple inputs.
Game and animation studios prototyping character performances and cutscenes quickly from reference motion.
Music artists and labels producing singing avatars and stylized performance videos from just audio and a single image.
Read more
OmniHuman is a multimodal human video generation model that takes one image (portrait, half-body, or full-body) and animates it using audio or video motion inputs. It supports different aspect ratios and styles, from photorealistic humans to cartoons and stylized characters, while keeping motion, lighting, and texture very natural. The system also handles weak signals like audio-only, still producing smooth, synchronized lip movements and gestures.
A common use is creating talking or singing avatars from a single photo for social media, tutorials, product explainers, or virtual presenters. Users can also do motion transfer, where a reference dance or performance video is used to drive a new character, making it useful for music videos, VTubers, and virtual influencers. Because it supports cartoons, animals, and objects, it also fits creative animation, interactive experiences, and game assets.
OmniHuman Video Generation is helpful for:
Content creators, VTubers, and streamers who want expressive digital avatars without complex motion capture.
Marketers and brands building virtual hosts, spokespeople, or influencers for campaigns and product videos.
Educators and trainers making talking-head lessons, explainers, and multilingual avatar videos from simple inputs.
Game and animation studios prototyping character performances and cutscenes quickly from reference motion.
Music artists and labels producing singing avatars and stylized performance videos from just audio and a single image.
Read more
