

Advancedliveportrait WebUI
Overview :
AdvancedLivePortrait-WebUI is a web interface developed on the Gradio framework for real-time portrait animation editing. This technology allows users to modify facial expressions by uploading images, achieving efficient portrait animation production. It is based on the LivePortrait algorithm and utilizes deep learning technology for capturing facial features and creating animations, with advantages of ease of use and realistic effects. The product background information indicates that it is an open-source project developed by jhj0517, suitable for professionals and enthusiasts engaged in portrait animation. Currently, this project is free and open-source, allowing users to use and modify it freely.
Target Users :
The target audience includes professionals and enthusiasts engaged in portrait animation production, such as video creators, game developers, and animators. This product offers a user-friendly interface that allows users to create high-quality portrait animations without complex programming knowledge, making it particularly suitable for those who require quick and efficient animation production.
Use Cases
Video creators use this technology to add realistic facial expressions to characters in videos.
Game developers leverage this technology to create dynamic facial animations for game characters.
Social media users utilize this technology to make entertaining portrait animation videos.
Features
- Portrait animation editing: Users can upload images and edit facial expressions.
- Based on the Gradio framework: Provides a clean and easy-to-use web interface.
- Supports multiple expression adjustments: Including AAA, EEE, Eyebrow, Wink, and more.
- Deep learning technology: Utilizes deep learning for capturing facial features and animation production.
- Open-source project: Code is open-source, allowing users to use and modify it freely.
- Cross-platform support: Compatible with various operating systems.
- Easy to deploy: Provides Docker support for quick deployment by users.
How to Use
1. Visit the project website and clone the code to your local machine.
2. Install the required dependencies.
3. Run the app.py file to launch the web interface.
4. Upload an image in the web interface and select the facial expression to edit.
5. Adjust parameters and preview the animation effect.
6. Export the edited animation or images.
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