zxh451200 / sadtalker Goto Github PK

• 2023.03.22: Launch new feature: generating the 3d face animation from a single image. New applications about it will be updated.

• 2023.03.22: Launch new feature: still mode, where only a small head pose will be produced via python inference.py --still.

• 2023.03.18: Support expression intensity, now you can change the intensity of the generated motion: python inference.py --expression_scale 1.3 (some value > 1).

• 2023.03.18: Reconfig the data folders, now you can download the checkpoint automatically using bash scripts/download_models.sh.

• 2023.03.18: We have offically integrate the GFPGAN for face enhancement, using python inference.py --enhancer gfpgan for better visualization performance.

• 2023.03.14: Specify the version of package joblib to remove the errors in using librosa, is online!     

  Previous Changelogs

  • 2023.03.06 Solve some bugs in code and errors in installation
  • 2023.03.03 Release the test code for audio-driven single image animation!
  • 2023.02.28 SadTalker has been accepted by CVPR 2023!

• 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!)

git clone https://github.com/Winfredy/SadTalker.git
cd SadTalker 
conda create -n sadtalker python=3.8
source 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 dlib-bin # [dlib-bin is much faster than dlib installation] conda install dlib 
pip install -r requirements.txt

### install gpfgan for enhancer
pip install git+https://github.com/TencentARC/GFPGAN

bash scripts/download_models.sh

python inference.py --driven_audio <audio.wav> \
                    --source_image <video.mp4 or picture.png> \
                    --batch_size <default equals 2, a larger run faster> \
                    --expression_scale <default is 1.0, a larger value will make the motion stronger> \
                    --result_dir <a file to store results> \
                    --enhancer <default is None, you can choose gfpgan or RestoreFormer>

Kindly ensure to activate the audio as the default audio playing is incompatible with GitHub.

Input	Animated 3d face
	3dface.mp4

Kindly ensure to activate the audio as the default audio playing is incompatible with GitHub.

More details to generate the 3d face can be founded here

We use camera_yaw, camera_pitch, camera_roll to control camera pose. For example, --camera_yaw -20 30 10 means the camera yaw degree changes from -20 to 30 and then changes from 30 to 10.

python inference.py --driven_audio <audio.wav> \
                    --source_image <video.mp4 or picture.png> \
                    --result_dir <a file to store results> \
                    --camera_yaw -20 30 10

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}
}

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.

• 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)

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