LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control
Product Information
Key Features of LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control
LivePortrait offers better generalization, controllability, and efficiency for practical usage, and can generate high-quality portrait animations at a speed of 12.8ms on an RTX 4090 GPU with PyTorch.
Implicit-keypoint-based framework
Effectively balances computational efficiency and controllability.
Stitching module
Enhances the controllability of the generated portrait animations.
Retargeting modules
Allows for precise control over the eyes and lip movements of the generated portrait animations.
Mixed image-video training strategy
Improves the generalization ability of the framework.
Upgraded network architecture
Enhances the generation quality of the framework.
Use Cases of LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control
Generate high-quality portrait animations for social media and advertising.
Create realistic avatars for virtual reality and gaming applications.
Enhance the realism of digital characters in movies and television shows.
Pros and Cons of LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control
Pros
- Better generalization and controllability
- High-quality portrait animations at a speed of 12.8ms on an RTX 4090 GPU with PyTorch
- Improved efficiency and practicality
Cons
- May require significant computational resources
- Limited to generating portrait animations from a single source image
- May not be suitable for all types of animation applications
How to Use LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control
- 1
Download the inference code and models from https://github.com/KwaiVGI/LivePortrait.
- 2
Prepare a single source image and a driving video or audio file.
- 3
Use the LivePortrait framework to generate a high-quality portrait animation.