README.md

ve-gans: Image Generation with GANs using PyTorch

Overview

ve-gans is a project for image generation using Generative Adversarial Networks (GANs) implemented in PyTorch.

Features

• GAN model for image generation.
• Separate scripts for training and generating images.
• Easy-to-use command-line interface.

Installation

1. Clone the repository:

   git clone https://github.com/zaibutcooler/ve-gans.git
   cd ve-gans
   

2. Install dependencies:

   pip install -r requirements.txt
   

Usage

Training

To train the GAN model, use the following command:

```bash
ve-gans-train
```

Generating Images

To generate images with the trained model, use the following command:

```bash
ve-gans-generate
```

Project Structure

• ve_gans/: Python package containing GAN implementation and utilities.
  • generator.py: Implementation of the GAN generator.
  • discriminator.py: Implementation of the GAN discriminator.
  • utils.py: Utility functions.
• requirements.txt: List of project dependencies.
• setup.py: Setup script for installing the package.
• main.py: Example script for using the ve-gans package.

Contributing

Contributions are welcome! Please follow the Contribution Guidelines.

License

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

Acknowledgments

Mention any contributors or libraries that you used or were inspired by.

Contact

• Zai
• [email protected]
• Project Link: https://github.com/zaibutcooler/ve-gans