Stable Diffusion Image generating API

Stable Diffusion Image generating API is a project that enables users to generate images from an input prompt through a simple HTTP API. It uses Stable Diffusion, a high-quality image synthesis method, to produce JPEG encoded images that are instantly available for use or download.

A user sends an HTTP request with the image prompt as a parameter and in return receives a JPEG encoded image over the HTTP connection. This API is currently accessible without any form of authorization or encryption, allowing trouble-free access and usage by anyone who needs to convert text prompts into graphical representations. However, users must bear in mind that the lack of authorization and encryption means the data sent over the API is not secure and could potentially be intercepted.

To get started with using this project, there are a set of instructions and prerequisites for setting up your local environment for development and testing purposes. Automated tests help ensure the robustness of the application.

Getting Started

In order to set up the project on your system, you will need to follow these instructions.

Step 1: Install Python 3.11

You must first ensure that you have Python 3.11 installed on your system. You can download it from the official Python website.

https://www.python.org/downloads/release/python-3110/

Step 2: Create Python Virtual Environment

Next, navigate to the project root directory and create a new Python virtual environment.

cd /path/to/project/directory
python3.11 -m venv venv

Step 3: Activate Python Virtual Environment

Now you should activate the Python virtual environment.

source venv/bin/activate

Step 4: Install Required Packages

Then install the required packages for the project using pip.

pip install -r requirements.txt

Now, your development environment setup for this project is complete.

Prerequisites

Python 3.11 or later installed on the system

Running the tests

There are tests in the test_main.http file for testing the API.

1. Run uvicorn

Make sure uvicorn is up and running, and take note of which port it uses

2. Curl

use curl or similar tool to curl the endpoint as specified in the test_main.http file. The JSON at the bottom is the body of the POST call sent to the API.