LivePortrait: A fast, controllable portrait animation model (github.com)
We are excited to announce the release of our video-driven portrait animation model! This model can vividly animate a single portrait, achieving a generation speed of 12.8ms on an RTX 4090 GPU with `torch.compile` from PyTorch. And, we are actively updating and improving this repo!
Related Resources: - Homepage: https://liveportrait.github.io
- Paper: https://arxiv.org/abs/2407.03168
- Code: https://github.com/KwaiVGI/LivePortrait
- Jupyter: https://github.com/camenduru/LivePortrait-jupyter
- ComfyUI: https://github.com/kijai/ComfyUI-LivePortraitKJ and https://github.com/shadowcz007/comfyui-liveportrait
We hope you give it a try and enjoy!
29 comments
[ 4.5 ms ] story [ 70.2 ms ] threadEdit: it's definitely being used already https://www.reddit.com/r/StableDiffusion/comments/1dvepjx/li...
Most SD1.x/SDXL models images depict humans with the same expression so the frames generated by LivePortrait will help with training datasets.
I believe the Pixar animators in Toy Story 1 used facial expressions /emotions database called F.A.C.S to make the characters more humanly relatable.
It's not clear if the "expressions" will generalise to new faces
Both manual-downloading models from our github repo and auto-downloading models with our python-library follow the above license policy(which is for non-commercial research purposes only).
I’d love to see a database of facial expression videos that’s used for some sort of standardized test expression testing.. are you guys aware of one?
What OP meant is that they would like an open format on the website, which, then, can be viewed in any modern browser. I think that caniuse is a good resource in this regard.
https://caniuse.com/av1
https://caniuse.com/hevc
WebM with VP9 video is a good general browser target I think:
https://caniuse.com/webm
But funnily enough, even though h264 is not open, it's a widely decoded video format as well:
https://caniuse.com/mpeg4
I hope open standards keep winning. Overall, everyone wins with the infrastructure being openly accessible, especially the common folk.