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<h1 align="center">LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control</h1> <h1 align="center"> Webcam Live Portrait</h1>
<div align='center'>
<a href='https://github.com/cleardusk' target='_blank'><strong>Jianzhu Guo</strong></a><sup> 1†</sup>&emsp;
<a href='https://github.com/KwaiVGI' target='_blank'><strong>Dingyun Zhang</strong></a><sup> 1,2</sup>&emsp;
<a href='https://github.com/KwaiVGI' target='_blank'><strong>Xiaoqiang Liu</strong></a><sup> 1</sup>&emsp;
<a href='https://github.com/KwaiVGI' target='_blank'><strong>Zhizhou Zhong</strong></a><sup> 1,3</sup>&emsp;
<a href='https://scholar.google.com.hk/citations?user=_8k1ubAAAAAJ' target='_blank'><strong>Yuan Zhang</strong></a><sup> 1</sup>&emsp;
</div>
<div align='center'>
<a href='https://scholar.google.com/citations?user=P6MraaYAAAAJ' target='_blank'><strong>Pengfei Wan</strong></a><sup> 1</sup>&emsp;
<a href='https://openreview.net/profile?id=~Di_ZHANG3' target='_blank'><strong>Di Zhang</strong></a><sup> 1</sup>&emsp;
</div>
<div align='center'>
<sup>1 </sup>Kuaishou Technology&emsp; <sup>2 </sup>University of Science and Technology of China&emsp; <sup>3 </sup>Fudan University&emsp;
</div>
<br>
<div align="center">
<!-- <a href='LICENSE'><img src='https://img.shields.io/badge/license-MIT-yellow'></a> -->
<a href='https://arxiv.org/pdf/2407.03168'><img src='https://img.shields.io/badge/arXiv-LivePortrait-red'></a>
<a href='https://liveportrait.github.io'><img src='https://img.shields.io/badge/Project-LivePortrait-green'></a>
<a href='https://huggingface.co/spaces/KwaiVGI/liveportrait'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue'></a>
</div>
<br>
<p align="center"> <p align="center">
<img src="./assets/docs/showcase2.gif" alt="showcase"> <img src="./assets/docs/showcase2.gif" alt="showcase">
<br> <br>
🔥 For more results, visit our <a href="https://liveportrait.github.io/"><strong>homepage</strong></a> 🔥 🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥
</p> </p>
## 🔥 Updates ## 🔥 Updates
- **`2024/07/04`**: 🔥 We released the initial version of the inference code and models. Continuous updates, stay tuned! - **`2024/07/10`**: 🔥 I released the initial version of the inference code for webcam. Continuous updates, stay tuned!
- **`2024/07/04`**: 😊 We released the [homepage](https://liveportrait.github.io) and technical report on [arXiv](https://arxiv.org/pdf/2407.03168).
## Introduction ## Introduction
This repo, named **LivePortrait**, contains the official PyTorch implementation of our paper [LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control](https://arxiv.org/pdf/2407.03168). This repo, named **Webcam Live Portrait**, contains the official PyTorch implementation of author paper [LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control](https://arxiv.org/pdf/2407.03168).
We are actively updating and improving this repository. If you find any bugs or have suggestions, welcome to raise issues or submit pull requests (PR) 💖. I am actively updating and improving this repository. If you find any bugs or have suggestions, welcome to raise issues or submit pull requests (PR) 💖.
## 🔥 Getting Started ## 🔥 Getting Started
### 1. Clone the code and prepare the environment ### 1. Clone the code and prepare the environment
@ -56,7 +30,7 @@ pip install -r requirements.txt
``` ```
### 2. Download pretrained weights ### 2. Download pretrained weights
Download our pretrained LivePortrait weights and face detection models of InsightFace from [Google Drive](https://drive.google.com/drive/folders/1UtKgzKjFAOmZkhNK-OYT0caJ_w2XAnib) or [Baidu Yun](https://pan.baidu.com/s/1MGctWmNla_vZxDbEp2Dtzw?pwd=z5cn). We have packed all weights in one directory 😊. Unzip and place them in `./pretrained_weights` ensuring the directory structure is as follows: Download pretrained LivePortrait weights and face detection models of InsightFace from [Google Drive](https://drive.google.com/drive/folders/1UtKgzKjFAOmZkhNK-OYT0caJ_w2XAnib) or [Baidu Yun](https://pan.baidu.com/s/1MGctWmNla_vZxDbEp2Dtzw?pwd=z5cn). We have packed all weights in one directory 😊. Unzip and place them in `./pretrained_weights` ensuring the directory structure is as follows:
```text ```text
pretrained_weights pretrained_weights
├── insightface ├── insightface
@ -84,13 +58,18 @@ python inference.py
If the script runs successfully, you will get an output mp4 file named `animations/s6--d0_concat.mp4`. This file includes the following results: driving video, input image, and generated result. If the script runs successfully, you will get an output mp4 file named `animations/s6--d0_concat.mp4`. This file includes the following results: driving video, input image, and generated result.
<p align="center"> <p align="center">
<img src="./assets/docs/inference.gif" alt="image"> <img src="https://github.com/Mrkomiljon/Webcam_Live_Portrait/assets/92161283/7c4daf41-838d-4eb8-a762-9188cd337ee6">
</p> </p>
Or, you can change the input by specifying the `-s` and `-d` arguments:
https://github.com/Mrkomiljon/Webcam_Live_Portrait/assets/92161283/7c4daf41-838d-4eb8-a762-9188cd337ee6
Or, you can change the input by specifying the `-s` and `-d` arguments come from webcam:
```bash ```bash
python inference.py -s assets/examples/source/s9.jpg -d assets/examples/driving/d0.mp4 python inference.py -s assets/examples/source/MY_photo.jpg
# or disable pasting back # or disable pasting back
python inference.py -s assets/examples/source/s9.jpg -d assets/examples/driving/d0.mp4 --no_flag_pasteback python inference.py -s assets/examples/source/s9.jpg -d assets/examples/driving/d0.mp4 --no_flag_pasteback
@ -99,7 +78,6 @@ python inference.py -s assets/examples/source/s9.jpg -d assets/examples/driving/
python inference.py -h python inference.py -h
``` ```
**More interesting results can be found in our [Homepage](https://liveportrait.github.io)** 😊
### 4. Gradio interface ### 4. Gradio interface
@ -132,13 +110,3 @@ Below are the results of inferring one frame on an RTX 4090 GPU using the native
## Acknowledgements ## Acknowledgements
We would like to thank the contributors of [FOMM](https://github.com/AliaksandrSiarohin/first-order-model), [Open Facevid2vid](https://github.com/zhanglonghao1992/One-Shot_Free-View_Neural_Talking_Head_Synthesis), [SPADE](https://github.com/NVlabs/SPADE), [InsightFace](https://github.com/deepinsight/insightface) repositories, for their open research and contributions. We would like to thank the contributors of [FOMM](https://github.com/AliaksandrSiarohin/first-order-model), [Open Facevid2vid](https://github.com/zhanglonghao1992/One-Shot_Free-View_Neural_Talking_Head_Synthesis), [SPADE](https://github.com/NVlabs/SPADE), [InsightFace](https://github.com/deepinsight/insightface) repositories, for their open research and contributions.
## Citation 💖
If you find LivePortrait useful for your research, welcome to 🌟 this repo and cite our work using the following BibTeX:
```bibtex
@article{guo2024live,
title = {LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control},
author = {Jianzhu Guo and Dingyun Zhang and Xiaoqiang Liu and Zhizhou Zhong and Yuan Zhang and Pengfei Wan and Di Zhang},
year = {2024},
journal = {arXiv preprint:2407.03168},
}
```