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GVC Lab @ Great Bay University avatar

PersonaLive

Real-time diffusion model that animates a portrait photo from live video

  • AI media
  • AI models and runtimes
View on GitHub
Website

What it is

A research release (CVPR 2026) of a streamable diffusion framework that animates a single reference portrait using the facial motion of a driving video or webcam feed, producing videos of unbounded length. It ships pretrained weights, offline and online inference scripts, a browser-based streaming interface, optional TensorRT acceleration, and training code. Researchers and hobbyists working on talking-head generation can use it to drive avatars live or render long clips on a 12GB GPU.

Images

Facts

Stars
4,017 GitHub stars.
4,017

Forks
600
Commits
61
Contributors
3
Language
Python
License
Apache-2.0
Last commit
Aug 28, 2026
On GitHub since
November 2025
Platforms
web, Linux
Self-hostable
No
Alternative to
HeyGen, D-ID
Tags
  • video-generation
  • open-weights
  • computer-vision
  • animation

Last synced from GitHub on Oct 20, 2026

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What people are saying

Updated Oct 21, 2026
  • Hacker NewsPersonaLive Expressive Portrait Image Animation for Live StreamingFeb 24, 2026 · 2 points · 0 comments (opens Hacker News in a new tab)
  • Bluesky“Zhiyuan Li, Chi-Man Pun, Chen Fang, Jue Wang, Xiaodong Cun PersonaLive! Expressive Portrait Image Animation for Live Streaming”Dec 15, 2025 · 0 likes · 0 replies (opens Bluesky in a new tab)