fofr / live-portrait

Portrait animation using a driving video source

  • Public
  • 39.7K runs
  • GitHub
  • Paper
  • License

Input

Output

Run time and cost

This model costs approximately $0.022 to run on Replicate, or 45 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A40 (Large) GPU hardware. Predictions typically complete within 31 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Efficient Portrait Animation with Stitching and Retargeting Control

Example driving videos

Try these videos:

https://github.com/KwaiVGI/LivePortrait/tree/main/assets/examples/driving

License

LivePortrait uses InsightFace buffalo_l models, meaning this model cannot be used commercially. The LivePortrait code and weights are released under an MIT license.

Implementation

This model uses the ComfyUI custom node created by Kijai:

https://github.com/kijai/ComfyUI-LivePortraitKJ

And the safetensor weights they converted:

https://huggingface.co/Kijai/LivePortrait_safetensors/tree/main