waynetech/sadtalker

（CVPR 2023）SadTalker：Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

                 

Wenxuan Zhang ^*,1,2   Xiaodong Cun ^*,2  Xuan Wang ³  Yong Zhang ²  Xi Shen ² 
Yu Guo¹   Ying Shan ²   Fei Wang ¹  

¹ Xi'an Jiaotong University   ² Tencent AI Lab   ³ Ant Group  

CVPR 2023

TL;DR:       single portrait image 🙎‍♂️      +       audio 🎤       =       talking head video 🎞.

🔥 Highlight

• 🔥 The extension of the stable-diffusion-webui is online. Just install it in extensions -> install from URL -> https://github.com/Winfredy/SadTalker, checkout more details here.

sadtalker_demo_short.mp4

• 🔥 full image mode is online! checkout here for more details.

still+enhancer in v0.0.1	still + enhancer in v0.0.2	input image @bagbag1815
still_e_n.mp4	full_body_2.bus_chinese_enhanced.mp4

• 🔥 Several new mode, eg, still mode, reference mode, resize mode are online for better and custom applications.

• 🔥 Happy to see our method is used in various talking or singing avatar, checkout these wonderful demos at bilibili and twitter #sadtalker.

📋 Changelog (Previous changelog can be founded here)

• [2023.04.08]: ❗️❗️❗️ In v0.0.2, we add a logo watermark to the generated video to prevent abusing since it is very realistic.

• [2023.04.08]: v0.0.2, full image animation, adding baidu driver for download checkpoints. Optimizing the logic about enhancer.

🚧 TODO

Previous TODOs

• Generating 2D face from a single Image.
• Generating 3D face from Audio.
• Generating 4D free-view talking examples from audio and a single image.
• Gradio/Colab Demo.
• Full body/image Generation.

• training code of each componments.
• Audio-driven Anime Avatar.
• interpolate ChatGPT for a conversation demo 🤔
• integrade with stable-diffusion-web-ui. (stay tunning!)

⚙️ Installation (中文windows教程|日本語コース )

Installing Sadtalker on Linux:

git clone https://github.com/Winfredy/SadTalker.git

cd SadTalker 

conda create -n sadtalker python=3.8

conda activate sadtalker

pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113

conda install ffmpeg

pip install -r requirements.txt

### tts is optional for gradio demo. 
### pip install TTS

More tips about installnation on Windows and the Docker file can be founded here

Sd-Webui-Extension:

CLICK ME

Installing the lastest version of stable-diffusion-webui and install the sadtalker via extension.

Then, restarting the stable-diffusion-webui(The models will be downloaded automatically in the right place if you have a good speed network). Or (Important!) you need pre-download sadtalker checkpoints to SADTALKTER_CHECKPOINTS in webui_user.sh(linux) or webui_user.bat(windows) by:

# windows (webui_user.bat)
set COMMANDLINE_ARGS=--no-gradio-queue  --disable-safe-unpickle
set SADTALKER_CHECKPOINTS=D:\SadTalker\checkpoints

# linux (webui_user.sh)
export COMMANDLINE_ARGS=--no-gradio-queue  --disable-safe-unpickle
export SADTALKER_CHECKPOINTS=/path/to/SadTalker/checkpoints

After installation, the SadTalker can be used in stable-diffusion-webui directly. (Some important discussion if you are unable to use full mode).

Download Trained Models

CLICK ME

You can run the following script to put all the models in the right place.

bash scripts/download_models.sh

OR download our pre-trained model from google drive or our github release page, and then, put it in ./checkpoints.

OR we provided the downloaded model in 百度云盘 提取码: sadt.

Model	Description
checkpoints/auido2exp_00300-model.pth	Pre-trained ExpNet in Sadtalker.
checkpoints/auido2pose_00140-model.pth	Pre-trained PoseVAE in Sadtalker.
checkpoints/mapping_00229-model.pth.tar	Pre-trained MappingNet in Sadtalker.
checkpoints/mapping_00109-model.pth.tar	Pre-trained MappingNet in Sadtalker.
checkpoints/facevid2vid_00189-model.pth.tar	Pre-trained face-vid2vid model from the reappearance of face-vid2vid.
checkpoints/epoch_20.pth	Pre-trained 3DMM extractor in Deep3DFaceReconstruction.
checkpoints/wav2lip.pth	Highly accurate lip-sync model in Wav2lip.
checkpoints/shape_predictor_68_face_landmarks.dat	Face landmark model used in dilb.
checkpoints/BFM	3DMM library file.
checkpoints/hub	Face detection models used in face alignment.

🔮 Quick Start (Best Practice)

Animating Portrait Image from default config.

python inference.py --driven_audio <audio.wav> --source_image <video.mp4 or picture.png> --enhancer gfpgan 

The results will be saved in results/$SOME_TIMESTAMP/*.mp4.

More examples and configuration and tips can be founded in the >>> best practice documents <<<.

Full body/image Generation

Using --still to generate a natural full body video. You can add enhancer to improve the quality of the generated video.

python inference.py --driven_audio <audio.wav> \
                    --source_image <video.mp4 or picture.png> \
                    --result_dir <a file to store results> \
                    --still \
                    --preprocess full \
                    --enhancer gfpgan 

Local Gradio demo.

A local gradio demo similar to our hugging-face demo can be run by:

## you need manually install TTS(https://github.com/coqui-ai/TTS) via `pip install tts` in advanced.

python app.py

🛎 Citation

If you find our work useful in your research, please consider citing:

@article{zhang2022sadtalker,
  title={SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation},
  author={Zhang, Wenxuan and Cun, Xiaodong and Wang, Xuan and Zhang, Yong and Shen, Xi and Guo, Yu and Shan, Ying and Wang, Fei},
  journal={arXiv preprint arXiv:2211.12194},
  year={2022}
}

💗 Acknowledgements

Facerender code borrows heavily from zhanglonghao's reproduction of face-vid2vid and PIRender. We thank the authors for sharing their wonderful code. In training process, We also use the model from Deep3DFaceReconstruction and Wav2lip. We thank for their wonderful work.

🥂 Related Works

• StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN (ECCV 2022)
• CodeTalker: Speech-Driven 3D Facial Animation with Discrete Motion Prior (CVPR 2023)
• VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild (SIGGRAPH Asia 2022)
• DPE: Disentanglement of Pose and Expression for General Video Portrait Editing (CVPR 2023)
• 3D GAN Inversion with Facial Symmetry Prior (CVPR 2023)
• T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations (CVPR 2023)

📢 Disclaimer

This is not an official product of Tencent. This repository can only be used for personal/research/non-commercial purposes.

LOGO: color and font suggestion: ChatGPT, logo font：Montserrat Alternates .

All the copyright of the demo images and audio are from communities users or the geneartion from stable diffusion. Free free to contact us if you feel uncomfortable.