Omni-Avatar/OmniAvatar

Health v2 · maintenance only

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1859 stars · 167 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

OmniAvatar is an audio-driven full-body avatar video generation model built on Wan2.1 text-to-video diffusion models with LoRA-based audio conditioning. It generates lifelike speaking avatar videos with accurate lip-sync, natural body animation, and prompt-controlled backgrounds and actions.

Use cases

• generate talking avatar videos from audio and a prompt
• create lip-synced podcast or singing videos from speech audio
• animate a full-body digital human driven by voice
• control avatar background and movement via text prompts
• produce digital human videos for content creation

When to choose

• you need audio-driven full-body avatar video generation with lip-sync
• you want prompt control over scene, background, and body motion
• you have GPU resources and want an open-source Wan2.1-based avatar model

When to avoid

• you only need lightweight real-time face swap or talking-head on CPU
• you need a hosted SaaS avatar service without model setup
• you lack the GPU memory for 1.3B/14B diffusion inference

Facets

library · maturity active

video-processing audio-processing machine-learning deep-learning llm-inference artificial-intelligence computer-vision deep-learning python audio-driven-avatar talking-head lip-sync video-generation diffusion-model lora wan2-1 wav2vec digital-human audio video linux gpu

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For agents

markdown · JSON · MCP: product_card(name="Omni-Avatar/OmniAvatar")