Support for rectangular videos of non-512x512 dimensions, with automatic adaptation to the appropriate resolution
Colab | Info |
---|---|
magic_animate_colab | |
vid2densepose vid2openpose |
Zhongcong Xu
·
Jianfeng Zhang
·
Jun Hao Liew
·
Hanshu Yan
·
Jia-Wei Liu
·
Chenxu Zhang
·
Jiashi Feng
·
Mike Zheng Shou
National University of Singapore | ByteDance
- [2023.12.8] Add loading local safetensors or ckpt,you can change
config/prompts/animation.yaml
aboutpretrained_model_path
for your local SD1.5 model. such as"D:\\stablediffusion-webui\\models\Stable-diffusion\\v1-5-pruned.ckpt"
- [2023.12.4] Release inference code and gradio demo. We are working to improve MagicAnimate, stay tuned!
- [2023.11.23] Release MagicAnimate paper and project page.
prerequisites: python>=3.8
, CUDA>=11.3
, ffmpeg
and git
.
Python and Git:
-
Python 3.10.11: https://www.python.org/ftp/python/3.10.11/python-3.10.11-amd64.exe
-
Install ffmpeg for your operating system (https://www.geeksforgeeks.org/how-to-install-ffmpeg-on-windows/)
notice:step 4 use windows system Set Enviroment Path.
Give unrestricted script access to powershell so venv can work:
- Open an administrator powershell window
- Type
Set-ExecutionPolicy Unrestricted
and answer A - Close admin powershell window
Install with Powershell run install.ps1
or install-cn.ps1
(for Chinese)
###Use local model
Add loading local safetensors or ckpt,you can change config/prompts/animation.yaml
about pretrained_model_path
for your local SD1.5 model.
such as "D:\\stablediffusion-webui\\models\Stable-diffusion\\v1-5-pruned.ckpt"
Try our online gradio demo quickly.
Launch local gradio demo on single GPU:
Powershell run with run_gui.ps1
Launch local gradio demo if you have multiple GPUs:
Edit run_gui.ps1
set $mutil_gpu=1
then run.
Then open gradio demo in local browser.
We would like to thank AK(@_akhaliq) and huggingface team for the help of setting up oneline gradio demo.
If you find this codebase useful for your research, please use the following entry.
@inproceedings{xu2023magicanimate,
author = {Xu, Zhongcong and Zhang, Jianfeng and Liew, Jun Hao and Yan, Hanshu and Liu, Jia-Wei and Zhang, Chenxu and Feng, Jiashi and Shou, Mike Zheng},
title = {MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model},
booktitle = {arXiv},
year = {2023}
}