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GigaFoto is an AI-powered image generation application that leverages React.js, Node.js, Tailwind CSS, and a custom scraping algorithm. It allows users to explore a diverse collection of images sourced from lexica.art.

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GigaFoto

GigaFoto is an AI-powered image generation application that leverages React.js, Node.js, Tailwind CSS, and a custom scraping algorithm. It allows users to explore a diverse collection of images sourced from lexica.art.

Features

  • AI Image Generation: GigaFoto uses advanced AI algorithms to generate unique and creative images.
  • Technologies Used: The project is built using React.js for the frontend, Node.js for the backend, and Tailwind CSS for styling.
  • Image Scraping Algorithm: The application employs a custom scraping algorithm to fetch real images from lexica.art, ensuring a rich and dynamic image database.

Screenshots

Screenshot from 2023-12-09 01-45-29 Screenshot from 2023-12-09 01-45-41 image

Getting Started

Prerequisites

Installation

  1. Clone the repository:

    git clone https://github.com/your-username/gigafoto.git
  2. Navigate to the project directory:

    cd gigafoto
  3. Install dependencies:

    npm install
  4. Start the application:

    npm start
  5. Open your browser and visit http://localhost:3000 to use GigaFoto.

Contributing

Contributions are welcome! If you'd like to contribute to GigaFoto, please follow these steps:

  1. Fork the repository.
  2. Create a new branch: git checkout -b feature/your-feature-name.
  3. Commit your changes: git commit -m 'Add some feature'.
  4. Push to the branch: git push origin feature/your-feature-name.
  5. Submit a pull request.

License

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

Acknowledgments

  • Special thanks to lexica.art for providing the real images used in GigaFoto.
  • Hat tip to the open-source community for the amazing tools and libraries used in this project.

About

GigaFoto is an AI-powered image generation application that leverages React.js, Node.js, Tailwind CSS, and a custom scraping algorithm. It allows users to explore a diverse collection of images sourced from lexica.art.

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