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PersonaLive

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

  • AI media
  • AI models and runtimes
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Featured by Willet

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.

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Facts

Stars
4k4,017

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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