Stable Diffusion AI

Welcome to the Stable Diffusion AI repository. This project implements a deep learning-based approach to generate high-quality images using diffusion models. Stable Diffusion AI is built to handle complex image generation tasks with high efficiency and flexibility.

Table of Contents

• About Project
• Installation
• Use/Run the Project
• Features
• Screenshot (Optional)
• Contribution
• License
• Acknowledgments (Optional)

About Project

Stable Diffusion AI is a cutting-edge machine learning model that leverages diffusion processes for generating images. It has been designed to provide high-quality, high-resolution images while being computationally efficient.

Note: This is an open-source project that I use and run as part of my internship. The project is freely available for anyone to use, modify, and contribute to.

I used the AUTOMATIC1111's stable-diffusion-webui repository as a base and updated the UI to feature a Black Theme for a more modern and visually appealing interface.

Installation

Step 1: Clone the Repository

To clone the repository, run the following commands:

bash git clone https://github.com/anandsundaramoorthysa/REPO4.ANAND.Stable_Diffusion.git cd REPO4.ANAND.Stable_Diffusion

Step 2: Run webui.bat (With Internet Connection)

Run the webui.bat script to automatically install all required dependencies and set up the necessary files, models, and interfaces. Ensure you have a stable internet connection:

bash webui.bat

This will handle the entire setup process, including downloading the necessary models, installing dependencies, and starting the interface.

Important: Make sure Python 3.10.6 is installed before running the web UI.

Use/Run the Project

Once the setup is complete, you can start the project by running the following command:

bash python src/main.py

This will initialize the model and begin the image generation process.

Features

• High-Quality Image Generation: Generate realistic images with impressive details.
• Efficient Computation: Optimized for speed and resource usage.
• Customizable UI: Updated with a Black Theme for an improved user experience.
• Flexible Configuration: Customize the model settings to suit various use cases.

Contribution

Contributions are welcome! If you have suggestions or find any issues, please feel free to submit a pull request or open an issue on GitHub.

License

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

Acknowledgments

• Thanks to AUTOMATIC1111 for the original stable-diffusion-webui repository.
• Special thanks to the contributors and the open-source community for supporting this project.

Contact

For any inquiries or support, please contact me via email at sanand03027005@gmail.com or connect with me on LinkedIn.