fudan-generative-vision/hallo3

Health v2 · maintenance only

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1401 stars · 181 forks observed · 2026-08-28

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

Hallo3 is a research model from Fudan University that animates a single portrait image into a highly dynamic and realistic talking-head video using a video diffusion transformer, driven by audio. It is the CVPR 2025 release in the Hallo series with pretrained weights on Hugging Face.

Use cases

• animate a portrait photo into a talking video
• generate talking head videos from audio
• create lip-synced avatar videos from a single image
• audio-driven portrait animation research
• make a digital human video from one photo
• video diffusion model for face animation

When to choose

• you need state-of-the-art audio-driven portrait animation from a single image
• you want expressive, dynamic head and body motion beyond simple lip-sync
• you are doing research on video diffusion transformers

When to avoid

• you need real-time or low-latency animation
• you lack a GPU or cannot run heavy diffusion inference
• you need a production-ready API or GUI rather than a research codebase

Facets

library · maturity active

video-processing deep-learning image-processing machine-learning computer-vision deep-learning artificial-intelligence python talking-head portrait-animation diffusion-transformer video-generation audio-driven research cvpr-2025 video gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="fudan-generative-vision/hallo3")