HALLO3: Highly Dynamic and Realistic Portrait Image Animation with Diffusion Transformer Networks

Introduction

The HALLO3 model is designed for creating highly dynamic and realistic portrait image animations using diffusion transformer networks. This model is developed by the Fudan Generative AI team.

Architecture

The architecture details of HALLO3 are yet to be published. It involves diffusion transformer networks, which are known for their effectiveness in image generation tasks.

Training

Information regarding the training process of the HALLO3 model is currently unavailable and will be provided soon.

Guide: Running Locally

To run the HALLO3 model locally, you can follow these steps:

1. Clone the repository from Hugging Face.
2. Set up your Python environment with necessary dependencies.
3. Execute the provided scripts to generate animations from input portraits.

For better performance, it is recommended to use cloud GPU services such as AWS, Google Cloud, or Azure.

License

The HALLO3 model is licensed under the MIT License. This allows for flexibility in usage, modification, and distribution.