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TL;DR: single portrait image 🙎♂️ + audio 🎤 = talking head video 🎞. HighlightsThe license has been updated to Apache 2.0, and we've removed the non-commercial restriction SadTalker has now officially been integrated into Discord, where you can use it for free by sending files. You can also generate high-quailty videos from text prompts. Join: We've published a stable-diffusion-webui extension. Check out more details here. Demo Video Full image mode is now available! 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 modes (Still, reference, and resize modes) are now available! We're happy to see more community demos on bilibili, YouTube and X (#sadtalker). ChangelogThe previous changelog can be found here. [2023.06.12]: Added more new features in WebUI extension, see the discussion here. [2023.06.05]: Released a new 512x512px (beta) face model. Fixed some bugs and improve the performance. [2023.04.15]: Added a WebUI Colab notebook by @camenduru: [2023.04.12]: Added a more detailed WebUI installation document and fixed a problem when reinstalling. [2023.04.12]: Fixed the WebUI safe issues becasue of 3rd-party packages, and optimized the output path in sd-webui-extension. [2023.04.08]: In v0.0.2, we added a logo watermark to the generated video to prevent abuse. This watermark has since been removed in a later release. [2023.04.08]: In v0.0.2, we added features for full image animation and a link to download checkpoints from Baidu. We also optimized the enhancer logic. To-DoWe're tracking new updates in issue #280. TroubleshootingIf you have any problems, please read our FAQs before opening an issue. 1. Installation.Community tutorials: 中文Windows教程 (Chinese Windows tutorial) | 日本語コース (Japanese tutorial). Linux/UnixInstall Anaconda, Python and git. Creating the env and install the requirements. git clone https://github.com/OpenTalker/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 ### Coqui TTS is optional for gradio demo. ### pip install TTS WindowsA video tutorial in chinese is available here. You can also follow the following instructions: Install Python 3.8 and check "Add Python to PATH". Install git manually or using Scoop: scoop install git. Install ffmpeg, following this tutorial or using scoop: scoop install ffmpeg. Download the SadTalker repository by running git clone https://github.com/Winfredy/SadTalker.git. Download the checkpoints and gfpgan models in the downloads section. Run start.bat from Windows Explorer as normal, non-administrator, user, and a Gradio-powered WebUI demo will be started. macOSA tutorial on installing SadTalker on macOS can be found here. Docker, WSL, etcPlease check out additional tutorials here. 2. Download ModelsYou can run the following script on Linux/macOS to automatically download all the models: bash scripts/download_models.shWe also provide an offline patch (gfpgan/), so no model will be downloaded when generating. Pre-Trained Models Google Drive GitHub Releases Baidu (百度云盘) (Password: sadt) GFPGAN Offline Patch Google Drive GitHub Releases Baidu (百度云盘) (Password: sadt) Model DetailsModel explains: New version Model Description checkpoints/mapping_00229-model.pth.tar Pre-trained MappingNet in Sadtalker. checkpoints/mapping_00109-model.pth.tar Pre-trained MappingNet in Sadtalker. checkpoints/SadTalker_V0.0.2_256.safetensors packaged sadtalker checkpoints of old version, 256 face render). checkpoints/SadTalker_V0.0.2_512.safetensors packaged sadtalker checkpoints of old version, 512 face render). gfpgan/weights Face detection and enhanced models used in facexlib and gfpgan. Old version 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. gfpgan/weights Face detection and enhanced models used in facexlib and gfpgan.The final folder will be shown as: 
3. Quick Start
Please read our document on best practices and configuration tips WebUI DemosOnline Demo: HuggingFace | SDWebUI-Colab | Colab Local WebUI extension: Please refer to WebUI docs. Local gradio demo (recommanded): A Gradio instance similar to our Hugging Face demo can be run locally: ## you need manually install TTS(https://github.com/coqui-ai/TTS) via `pip install tts` in advanced. python app_sadtalker.pyYou can also start it more easily: windows: just double click webui.bat, the requirements will be installed automatically. Linux/Mac OS: run bash webui.sh to start the webui. CLI usage Animating a portrait image from default config: python inference.py --driven_audio \ --source_image \ --enhancer gfpganThe results will be saved in results/$SOME_TIMESTAMP/*.mp4. 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 \ --source_image \ --result_dir \ --still \ --preprocess full \ --enhancer gfpganMore examples and configuration and tips can be founded in the >>> best practice documents |
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