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<div align="center">
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<img src='https://user-images.githubusercontent.com/4397546/229094115-862c747e-7397-4b54-ba4a-bd368bfe2e0f.png' width='500px'/>
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<!--<h2> 😭 SadTalker： <span style="font-size:12px">Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation </span> </h2> -->
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<a href='https://arxiv.org/abs/2211.12194'><img src='https://img.shields.io/badge/ArXiv-PDF-red'></a> <a href='https://sadtalker.github.io'><img src='https://img.shields.io/badge/Project-Page-Green'></a> [](https://colab.research.google.com/github/Winfredy/SadTalker/blob/main/quick_demo.ipynb) [](https://huggingface.co/spaces/vinthony/SadTalker)
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<div>
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<a target='_blank'>Wenxuan Zhang <sup>*,1,2</sup> </a> 
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<a href='https://vinthony.github.io/' target='_blank'>Xiaodong Cun <sup>*,2</a> 
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<a href='https://xuanwangvc.github.io/' target='_blank'>Xuan Wang <sup>3</sup></a> 
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<a href='https://yzhang2016.github.io/' target='_blank'>Yong Zhang <sup>2</sup></a> 
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<a href='https://xishen0220.github.io/' target='_blank'>Xi Shen <sup>2</sup></a>  </br>
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<a href='https://yuguo-xjtu.github.io/' target='_blank'>Yu Guo<sup>1</sup> </a> 
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<a href='https://scholar.google.com/citations?hl=zh-CN&user=4oXBp9UAAAAJ' target='_blank'>Ying Shan <sup>2</sup> </a> 
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<a target='_blank'>Fei Wang <sup>1</sup> </a> 
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</div>
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<br>
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<div>
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<sup>1</sup> Xi'an Jiaotong University   <sup>2</sup> Tencent AI Lab   <sup>3</sup> Ant Group  
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</div>
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<br>
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<i><strong><a href='https://arxiv.org/abs/2211.12194' target='_blank'>CVPR 2023</a></strong></i>
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<br>
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<br>
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<b>TL;DR: single portrait image 🙎♂️ + audio 🎤 = talking head video 🎞.</b>
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<br>
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</div>
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## 🔥 Highlight
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- 🔥 The extension of the [stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) is online. Just install it in `extensions -> install from URL -> https://github.com/Winfredy/SadTalker`, checkout more details [here](#sd-webui-extension).
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https://user-images.githubusercontent.com/4397546/222513483-89161f58-83d0-40e4-8e41-96c32b47bd4e.mp4
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- 🔥 `full image mode` is online! checkout [here](https://github.com/Winfredy/SadTalker#beta-full-bodyimage-generation) for more details.
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| still+enhancer in v0.0.1 | still + enhancer in v0.0.2 | [input image @bagbag1815](https://twitter.com/bagbag1815/status/1642754319094108161) |
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|:--------------------: |:--------------------: | :----: |
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| <video src="https://user-images.githubusercontent.com/48216707/229484996-5d7be64f-2553-4c9e-a452-c5cf0b8ebafe.mp4" type="video/mp4"> </video> | <video src="https://user-images.githubusercontent.com/4397546/230717873-355b7bf3-d3de-49f9-a439-9220e623fce7.mp4" type="video/mp4"> </video> | <img src='./examples/source_image/full_body_2.png' width='380'>
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- 🔥 Several new mode, eg, `still mode`, `reference mode`, `resize mode` are online for better and custom applications.
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- 🔥 Happy to see our method is used in various talking or singing avatar, checkout these wonderful demos at [bilibili](https://search.bilibili.com/all?keyword=sadtalker&from_source=webtop_search&spm_id_from=333.1007&search_source=3
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) and [twitter #sadtalker](https://twitter.com/search?q=%23sadtalker&src=typed_query).
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## 📋 Changelog (Previous changelog can be founded [here](docs/changlelog.md))
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- __[2023.04.08]__: In v0.0.2, we add a logo watermark to the generated video to prevent abusing since it is very realistic.
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- __[2023.04.08]__: v0.0.2, full image animation, adding baidu driver for download checkpoints. Optimizing the logic about enhancer.
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- __[2023.04.06]__: stable-diffiusion webui extension is release.
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- __[2023.04.03]__: Enable TTS in huggingface and gradio local demo.
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- __[2023.03.30]__: Launch beta version of the full body mode.
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- __[2023.03.30]__: Launch new feature: through using reference videos, our algorithm can generate videos with more natural eye blinking and some eyebrow movement.
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- __[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 https://github.com/Winfredy/SadTalker/issues/35.
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- __[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`.
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- __[2023.03.28]__: Online demo is launched in [](https://huggingface.co/spaces/vinthony/SadTalker), thanks AK!
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## 🎼 Pipeline
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> Our method uses the coefficients of 3DMM as intermediate motion representation. To this end, we first generate
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realistic 3D motion coefficients (facial expression β, head pose ρ)
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from audio, then these coefficients are used to implicitly modulate
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the 3D-aware face render for final video generation.
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## 🚧 TODO
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<details><summary> Previous TODOs </summary>
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- [x] Generating 2D face from a single Image.
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- [x] Generating 3D face from Audio.
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- [x] Generating 4D free-view talking examples from audio and a single image.
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- [x] Gradio/Colab Demo.
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- [x] Full body/image Generation.
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</details>
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- [ ] training code of each componments.
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- [ ] Audio-driven Anime Avatar.
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- [ ] interpolate ChatGPT for a conversation demo 🤔
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- [x] integrade with stable-diffusion-web-ui. (stay tunning!)
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## ⚙️ Installation ([中文教程](https://www.bilibili.com/video/BV17N411P7m7/?vd_source=653f1e6e187ffc29a9b677b6ed23169a))
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#### Installing Sadtalker on Linux:
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```bash
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git clone https://github.com/Winfredy/SadTalker.git
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cd SadTalker
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conda create -n sadtalker python=3.8
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conda activate sadtalker
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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
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conda install ffmpeg
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pip install -r requirements.txt
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### tts is optional for gradio demo.
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### pip install TTS
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```
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More tips about installnation on Windows and the Docker file can be founded [here](docs/install.md)
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#### Sd-Webui-Extension:
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<details><summary>CLICK ME</summary>
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Installing the lastest version of [stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) and install the sadtalker via `extension`.
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<img width="726" alt="image" src="https://user-images.githubusercontent.com/4397546/230698519-267d1d1f-6e99-4dd4-81e1-7b889259efbd.png">
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Then, retarting the stable-diffusion-webui, set some commandline args. The models will be downloaded automatically in the right place. Alternatively, you can add the path of pre-downloaded sadtalker checkpoints to `SADTALKTER_CHECKPOINTS` in `webui_user.sh`(linux) or `webui_user.bat`(windows) by:
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```bash
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# windows (webui_user.bat)
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set COMMANDLINE_ARGS=--no-gradio-queue --disable-safe-unpickle
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set SADTALKER_CHECKPOINTS=D:\SadTalker\checkpoints
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# linux (webui_user.sh)
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export COMMANDLINE_ARGS=--no-gradio-queue --disable-safe-unpickle
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export SADTALKER_CHECKPOINTS=/path/to/SadTalker/checkpoints
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```
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After installation, the SadTalker can be used in stable-diffusion-webui directly.
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<img width="726" alt="image" src="https://user-images.githubusercontent.com/4397546/230698614-58015182-2916-4240-b324-e69022ef75b3.png">
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</details>
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#### Download Trained Models
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<details><summary>CLICK ME</summary>
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You can run the following script to put all the models in the right place.
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```bash
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bash scripts/download_models.sh
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```
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OR download our pre-trained model from [google drive](https://drive.google.com/drive/folders/1Wd88VDoLhVzYsQ30_qDVluQr_Xm46yHT?usp=sharing) or our [github release page](https://github.com/Winfredy/SadTalker/releases/tag/v0.0.1), and then, put it in ./checkpoints.
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OR we provided the downloaded model in [百度云盘](https://pan.baidu.com/s/1nXuVNd0exUl37ISwWqbFGA?pwd=sadt) 提取码: sadt.
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| Model | Description
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| :--- | :----------
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|checkpoints/auido2exp_00300-model.pth | Pre-trained ExpNet in Sadtalker.
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|checkpoints/auido2pose_00140-model.pth | Pre-trained PoseVAE in Sadtalker.
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|checkpoints/mapping_00229-model.pth.tar | Pre-trained MappingNet in Sadtalker.
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|checkpoints/mapping_00109-model.pth.tar | Pre-trained MappingNet in Sadtalker.
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|checkpoints/facevid2vid_00189-model.pth.tar | Pre-trained face-vid2vid model from [the reappearance of face-vid2vid](https://github.com/zhanglonghao1992/One-Shot_Free-View_Neural_Talking_Head_Synthesis).
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|checkpoints/epoch_20.pth | Pre-trained 3DMM extractor in [Deep3DFaceReconstruction](https://github.com/microsoft/Deep3DFaceReconstruction).
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|checkpoints/wav2lip.pth | Highly accurate lip-sync model in [Wav2lip](https://github.com/Rudrabha/Wav2Lip).
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|checkpoints/shape_predictor_68_face_landmarks.dat | Face landmark model used in [dilb](http://dlib.net/).
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|checkpoints/BFM | 3DMM library file.
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|checkpoints/hub | Face detection models used in [face alignment](https://github.com/1adrianb/face-alignment).
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</details>
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## 🔮 Quick Start
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#### Generating 2D face from a single Image from default config.
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```bash
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python inference.py --driven_audio <audio.wav> --source_image <video.mp4 or picture.png>
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```
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The results will be saved in `results/$SOME_TIMESTAMP/*.mp4`.
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Or a local gradio demo similar to our [hugging-face demo](https://huggingface.co/spaces/vinthony/SadTalker) can be run by:
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```bash
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## you need manually install TTS(https://github.com/coqui-ai/TTS) via `pip install tts` in advanced.
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python app.py
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```
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#### Advanced Configuration
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<details><summary> Click Me </summary>
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| Name | Configuration | default | Explaination |
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|:------------- |:------------- |:----- | :------------- |
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| Enhance Mode | `--enhancer` | None | Using `gfpgan` or `RestoreFormer` to enhance the generated face via face restoration network
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| Background Enhancer | `--background_enhancer` | None | Using `realesrgan` to enhance the full video.
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| Still Mode | ` --still` | False | Using the same pose parameters as the original image, fewer head motion.
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| Expressive Mode | `--expression_scale` | 1.0 | a larger value will make the expression motion stronger.
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| save path | `--result_dir` |`./results` | The file will be save in the newer location.
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| preprocess | `--preprocess` | `crop` | Run and produce the results in the croped input image. Other choices: `resize`, where the images will be resized to the specific resolution. `full` Run the full image animation, use with `--still` to get better results.
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| ref Mode (eye) | `--ref_eyeblink` | None | A video path, where we borrow the eyeblink from this reference video to provide more natural eyebrow movement.
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| ref Mode (pose) | `--ref_pose` | None | A video path, where we borrow the pose from the head reference video.
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| 3D Mode | `--face3dvis` | False | Need additional installation. More details to generate the 3d face can be founded [here](docs/face3d.md).
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| free-view Mode | `--input_yaw`,<br> `--input_pitch`,<br> `--input_roll` | None | Genearting novel view or free-view 4D talking head from a single image. More details can be founded [here](https://github.com/Winfredy/SadTalker#generating-4d-free-view-talking-examples-from-audio-and-a-single-image).
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</details>
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#### Examples
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| basic | w/ still mode | w/ exp_scale 1.3 | w/ gfpgan |
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|:-------------: |:-------------: |:-------------: |:-------------: |
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| <video src="https://user-images.githubusercontent.com/4397546/226097707-bef1dd41-403e-48d3-a6e6-6adf923843af.mp4"></video> | <video src='https://user-images.githubusercontent.com/4397546/226804933-b717229f-1919-4bd5-b6af-bea7ab66cad3.mp4'></video> | <video style='width:256px' src="https://user-images.githubusercontent.com/4397546/226806013-7752c308-8235-4e7a-9465-72d8fc1aa03d.mp4"></video> | <video style='width:256px' src="https://user-images.githubusercontent.com/4397546/226097717-12a1a2a1-ac0f-428d-b2cb-bd6917aff73e.mp4"></video> |
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> Kindly ensure to activate the audio as the default audio playing is incompatible with GitHub.
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| Input, w/ reference video , reference video |
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|:-------------: |
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| If the reference video is shorter than the input audio, we will loop the reference video .
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<!-- <video src="./docs/art_0##japanese_still.mp4"></video> -->
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#### Generating 3D face from Audio
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| Input | Animated 3d face |
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|:-------------: | :-------------: |
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| <img src='examples/source_image/art_0.png' width='200px'> | <video src="https://user-images.githubusercontent.com/4397546/226856847-5a6a0a4d-a5ec-49e2-9b05-3206db65e8e3.mp4"></video> |
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> Kindly ensure to activate the audio as the default audio playing is incompatible with GitHub.
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#### Generating 4D free-view talking examples from audio and a single image
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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.
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```bash
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python inference.py --driven_audio <audio.wav> \
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--source_image <video.mp4 or picture.png> \
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--result_dir <a file to store results> \
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--input_yaw -20 30 10
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```
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| Results, Free-view results, Novel view results |
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|:-------------: |
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#### [Beta Application] Full body/image Generation
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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.
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```bash
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python inference.py --driven_audio <audio.wav> \
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--source_image <video.mp4 or picture.png> \
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--result_dir <a file to store results> \
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--still \
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--preprocess full \
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--enhancer gfpgan
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```
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## 🛎 Citation
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If you find our work useful in your research, please consider citing:
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```bibtex
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@article{zhang2022sadtalker,
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title={SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation},
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author={Zhang, Wenxuan and Cun, Xiaodong and Wang, Xuan and Zhang, Yong and Shen, Xi and Guo, Yu and Shan, Ying and Wang, Fei},
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journal={arXiv preprint arXiv:2211.12194},
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year={2022}
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}
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```
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## 💗 Acknowledgements
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Facerender code borrows heavily from [zhanglonghao's reproduction of face-vid2vid](https://github.com/zhanglonghao1992/One-Shot_Free-View_Neural_Talking_Head_Synthesis) and [PIRender](https://github.com/RenYurui/PIRender). We thank the authors for sharing their wonderful code. In training process, We also use the model from [Deep3DFaceReconstruction](https://github.com/microsoft/Deep3DFaceReconstruction) and [Wav2lip](https://github.com/Rudrabha/Wav2Lip). We thank for their wonderful work.
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## 🥂 Related Works
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- [StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN (ECCV 2022)](https://github.com/FeiiYin/StyleHEAT)
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- [CodeTalker: Speech-Driven 3D Facial Animation with Discrete Motion Prior (CVPR 2023)](https://github.com/Doubiiu/CodeTalker)
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- [VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild (SIGGRAPH Asia 2022)](https://github.com/vinthony/video-retalking)
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- [DPE: Disentanglement of Pose and Expression for General Video Portrait Editing (CVPR 2023)](https://github.com/Carlyx/DPE)
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- [3D GAN Inversion with Facial Symmetry Prior (CVPR 2023)](https://github.com/FeiiYin/SPI/)
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- [T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations (CVPR 2023)](https://github.com/Mael-zys/T2M-GPT)
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## 📢 Disclaimer
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This is not an official product of Tencent. This repository can only be used for personal/research/non-commercial purposes.
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LOGO: color and font suggestion: [ChatGPT](ai.com), logo font：[Montserrat Alternates
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](https://fonts.google.com/specimen/Montserrat+Alternates?preview.text=SadTalker&preview.text_type=custom&query=mont).
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All the copyright demo images are from communities users or the geneartion from stable diffusion. Free free to contact us if you feel uncomfortable.
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