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# Stable Diffusion Automatic1111

Welcome to the Stable Diffusion Automatic1111 repository! This repository contains all the resources and instructions you need to run Stable Diffusion Automatic1111 in a Docker container.

## Overview

Stable Diffusion Automatic1111 is a machine learning project that provides a stable and automatic approach to diffusion probabilistic models. With this project, you can generate high-quality images, manipulate data, and explore various applications in the field of deep learning and generative models.

## Prerequisites

Before you get started, make sure you have the following prerequisites in place:

- [Docker](https://www.docker.com/get-started) installed on your system.
- An NVIDIA GPU with the appropriate drivers for running NVIDIA CUDA, as the Dockerfile is based on `nvidia/cuda:12.2.2-runtime-ubuntu22.04`.

## Installation

Follow these simple steps to set up Stable Diffusion Automatic1111 in a Docker container:

### 1. Clone the Repository

```shell
git clone https://github.com/your-repo-url.git
cd your-repo-directory

2. Build the Docker Image

docker build -t stable-diffusion:latest .

3. Run the Docker Container

docker run --gpus all -it --rm -p 7806:7806 stable-diffusion:latest

4. Access the Application

The Docker container will be up and running, exposing port 7806. You can access the application within the container via a web browser.

Dockerfile Explanation

If you're curious about what's happening in the Dockerfile, we've provided an explanation of each step in the Dockerfile section of this README.

Contributing

We welcome contributions from the community. If you have ideas for improvements, bug fixes, or new features, feel free to submit a pull request. Make sure to review our Contribution Guidelines before getting started.

License

This project is licensed under the MIT License. Feel free to use and modify it according to your needs.