GAIR-NLP/daVinci-MagiHuman

Health v2 · maintenance only

Flags: no_releases young no_license

Adoption not part of the score

2113 stars · 214 forks observed · 2026-08-28

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

daVinci-MagiHuman is an open-source 15B-parameter single-stream transformer foundation model that jointly generates synchronized audio and video from text prompts, with a focus on human-centric performance. It ships the full model stack (base, distilled, super-resolution) plus inference code in Python/PyTorch.

Use cases

• generate talking-head videos with synchronized speech from text
• create multilingual avatar videos with expressive faces and body motion
• fast audio-video generation on a single GPU
• generate 1080p human videos with super-resolution
• research on unified multimodal generation architectures
• generate videos in Chinese, English, Japanese, Korean, German, or French

When to choose

• you need fast, high-quality audio-video generation of humans
• you want a fully open model stack including distilled and super-resolution models
• you need multilingual speech with accurate lip and body synchronization
• you have an H100-class GPU and want state-of-the-art human-centric video generation

When to avoid

• you lack a high-end GPU (inference targets H100-class hardware)
• you need non-human or scene-dominant video generation
• you need a lightweight CPU-only solution
• you require a permissively usable model but your project forbids Apache-2.0 terms

Facets

library · maturity active

video-processing audio-processing deep-learning llm-inference machine-learning deep-learning artificial-intelligence media python video-generation audio-video-generation talking-head single-stream-transformer foundation-model text-to-video multilingual huggingface video audio gpu linux

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markdown · JSON · MCP: product_card(name="GAIR-NLP/daVinci-MagiHuman")