---
title: SadTalker
emoji: 😭
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 3.50.2
app_file: app.py
pinned: false
license: mit
---

# SadTalker: Audio-Driven Talking Face Animation

This Space demonstrates **SadTalker**, a system for generating realistic talking head videos from a single image and audio input.

## Features

- 🎭 **Single Image Animation**: Animate any portrait image with audio
- 🎵 **Audio-Driven**: Synchronize facial movements with speech
- ⚙️ **Customizable Settings**: Adjust pose style, preprocessing, and enhancement options
- 🎨 **Face Enhancement**: Optional GFPGAN integration for improved quality

## Usage

1. **Upload an Image**: Choose a portrait image (preferably with a clear, front-facing face)
2. **Upload Audio**: Provide an audio file with speech
3. **Adjust Settings** (optional):
   - **Pose Style**: Choose from 47 different pose styles (0-46)
   - **Face Model Resolution**: 256 or 512 (higher = better quality but slower)
   - **Preprocess Type**: How to handle the input image
   - **Still Mode**: Reduces head motion for a more static result
   - **GFPGAN Enhancer**: Improves face quality in the output
4. **Generate**: Click the "Generate Video" button and wait for processing

## Tips for Best Results

- Use clear, well-lit portrait images
- Front-facing photos work best
- Audio should be clear with minimal background noise
- For more details, see the [best practices guide](https://github.com/OpenTalker/SadTalker/blob/main/docs/best_practice.md)

## Credits

**Paper**: [SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation](https://arxiv.org/abs/2211.12194) (CVPR 2023)

**Authors**: Wenxuan Zhang, Xiaodong Cun, Xuan Wang, Yong Zhang, Xi Shen, Yu Guo, Ying Shan, Fei Wang

**GitHub**: [OpenTalker/SadTalker](https://github.com/OpenTalker/SadTalker)

## License

This project is licensed under the MIT License.