OmniHuman is an open-source digital-human platform jointly developed by Zhejiang University and Alibaba. It currently offers two flagship models: 1. OmniAvatar - Function: Generates full-body virtual-human videos from a single audio clip, delivering high-precision lip-sync and natural body motion. - Features: Fine-grained control over emotion and action via text prompts (e.g., “a sorrowful monologue,” “an impassioned speech”), plus interactive object manipulation and dynamic background switching. - Use Cases: Podcasts/interviews, e-commerce ads, virtual singer performances, dynamic scene control. - Limitations: Long videos may suffer from error accumulation and color drift; inference is slower than real time; complex multi-character interactions remain challenging. 2. OmniTalker (coming soon) - Function: A real-time, text-driven talking-avatar framework. The 0.8 B-parameter model runs at 25 fps with ≤ ±40 ms audio-video sync error and performs zero-shot style transfer of voice and facial appearance without extra training. - Use Cases: AI video assistants, live virtual anchors, video chat, personalized digital humans. The platform grants 6 free credits to try OmniAvatar’s audio-to-video generation today; real-time OmniTalker capabilities will be added in a future update.
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