# 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:**

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

2. **Install dependencies:**

   ```bash
   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](CONTRIBUTING.md).

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Acknowledgments

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

## Contact

- Zai
- zaiyellyintaung@gmail.com
- Project Link: [https://github.com/zaibutcooler/ve-gans](https://github.com/zaibutcooler/ve-gans)