zzmjohn / sadtalker 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 🎞.

• 🔥 Beta version of the full image mode is online! checkout here for more details.

still	still + enhancer	input image @bagbag1815
still1_n.mp4	still_e_n.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.

• [2023.03.30]: Launch beta version of the full body mode.

• [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#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!

Our method uses the coefficients of 3DMM as intermediate motion representation. To this end, we first generate realistic 3D motion coefficients (facial expression β, head pose ρ) from audio, then these coefficients are used to implicitly modulate the 3D-aware face render for final video 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

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

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> 

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

Or a local gradio demo can be run by:

python app.py

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.

We use input_yaw, input_pitch, input_roll to control head pose. For example, --input_yaw -20 30 10 means the input head 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> \
                    --input_yaw -20 30 10

Results, Free-view results, Novel view results

Now, you can use --still to generate a natural full body video. You can add enhancer or full_img_enhancer to improve the quality of the generated video. However, if you add other mode, such as ref_eyeblinking, ref_pose, the result will be bad. We are still trying to fix this problem.

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

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 .

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