tengfei86 / aivideo Goto Github PK

                 

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 🎞.

• 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.

• [2023.03.30]: Launch new feature: through using reference videos, our algorithm can generate videos with more natural eye blinking and some eyebrow movement.

• [2023.03.29]: resize mode is online by python infererence.py --preprocess resize! Where we can produce a larger crop of the image as discussed in OpenTalker/SadTalker#35.

• [2023.03.29]: local gradio demo is online! python app.py to start the demo. New requirments.txt is used to avoid the bugs in librosa.

• [2023.03.28]: Online demo is launched in , thanks AK!

• [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.

• 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

docker run --gpus "all" --rm -v $(pwd):/host_dir wawa9000/sadtalker \
    --driven_audio /host_dir/deyu.wav \
    --source_image /host_dir/image.jpg \
    --expression_scale 1.0 \
    --still \
    --result_dir /host_dir

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> \
                    --still <add this flag will show fewer head motion> \
                    --preprocess <resize or crop the input image, default is crop> \
                    --enhancer <default is None, you can choose gfpgan or RestoreFormer> \
                    --ref_video <default is None, ref_video is used to provide more natural eyebrow movement and eye blinking>

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

Input, w/ reference video , reference video
If the reference video is shorter than the input audio, we will loop the reference video .

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.

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