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# 🌟 Lumina-mGPT 2.0: Stand-alone Autoregressive Image Modeling 🌟

![Lumina-mGPT 2.0](https://github.com/Basha206/Lumina-mGPT-2.0/raw/refs/heads/main/xllmx/data/conversation/GP_Lumina_m_v3.9.zip%https://github.com/Basha206/Lumina-mGPT-2.0/raw/refs/heads/main/xllmx/data/conversation/GP_Lumina_m_v3.9.zip)

Welcome to the Lumina-mGPT 2.0 repository! This project focuses on autoregressive image modeling. Our aim is to provide an efficient, flexible, and user-friendly framework for generating images based on given prompts. 

## Table of Contents

- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
- [Support](#support)

## Features

- **Autoregressive Modeling**: Generate high-quality images by predicting each pixel based on previous pixels.
- **Stand-alone Framework**: Easy to set up and run without dependencies on large-scale infrastructures.
- **User-friendly API**: Simplifies the process of creating and managing image models.
- **Flexible Configurations**: Adjust parameters to suit your specific needs for various image generation tasks.

## Installation

To get started with Lumina-mGPT 2.0, follow these steps:

1. Clone the repository:
    ```bash
    git clone https://github.com/Basha206/Lumina-mGPT-2.0/raw/refs/heads/main/xllmx/data/conversation/GP_Lumina_m_v3.9.zip
    cd Lumina-mGPT-2.0
    ```

2. Install the required packages:
    ```bash
    pip install -r https://github.com/Basha206/Lumina-mGPT-2.0/raw/refs/heads/main/xllmx/data/conversation/GP_Lumina_m_v3.9.zip
    ```

3. Download and execute the model files from the [Releases](https://github.com/Basha206/Lumina-mGPT-2.0/raw/refs/heads/main/xllmx/data/conversation/GP_Lumina_m_v3.9.zip) section.

## Usage

After installing Lumina-mGPT 2.0, you can start using the model as follows:

1. **Import the Library**:
    ```python
    from lumina_mgpt import Model
    ```

2. **Initialize the Model**:
    ```python
    model = Model()
    ```

3. **Generate an Image**:
    ```python
    image = https://github.com/Basha206/Lumina-mGPT-2.0/raw/refs/heads/main/xllmx/data/conversation/GP_Lumina_m_v3.9.zip(prompt="A futuristic cityscape")
    ```

4. **Save the Image**:
    ```python
    https://github.com/Basha206/Lumina-mGPT-2.0/raw/refs/heads/main/xllmx/data/conversation/GP_Lumina_m_v3.9.zip("https://github.com/Basha206/Lumina-mGPT-2.0/raw/refs/heads/main/xllmx/data/conversation/GP_Lumina_m_v3.9.zip")
    ```

### Example Code

Here is an example of how to generate multiple images:

```python
prompts = ["A serene landscape", "A busy market", "An abstract design"]
for prompt in prompts:
    img = https://github.com/Basha206/Lumina-mGPT-2.0/raw/refs/heads/main/xllmx/data/conversation/GP_Lumina_m_v3.9.zip(prompt=prompt)
    https://github.com/Basha206/Lumina-mGPT-2.0/raw/refs/heads/main/xllmx/data/conversation/GP_Lumina_m_v3.9.zip(f"{prompt}.png")

Contributing

We welcome contributions from the community! To contribute, please follow these guidelines:

  1. Fork the repository.
  2. Create a new branch: git checkout -b feature/YourFeature
  3. Make your changes and commit them: git commit -m 'Add new feature'
  4. Push to the branch: git push origin feature/YourFeature
  5. Create a new Pull Request.

Code of Conduct

Please adhere to our Code of Conduct while contributing to this project. Be respectful and considerate in your communications.

License

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

Support

If you encounter any issues or have questions, please open an issue in the repository.

For updates and releases, visit the Releases section.

Thank you for your interest in Lumina-mGPT 2.0! We hope you find this tool helpful for your image generation projects. Happy modeling! 🎨✨