Text To Image Project

This project aims to provide a brief overview of how to utilize the Stable Diffusion API within the FastAPI framework, along with additional tasks such as creating base model schemas, generating and manipulating images, and deploying the application using Render cloud provider

Text to image output

Introduction

In this project, we utilized the Stable Diffusion API alongside the FastAPI framework to create a web application capable of generating and manipulating images based on specific tasks. The following sections detail the steps taken to achieve this, including the technologies used and the deployment process.

🛠️ Technologies Used

• FastAPI Framework: FastAPI was chosen for its ease of use and high performance, allowing for efficient development of web applications with Python.
• uvicorn Web Server: uvicorn was used as the ASGI server to run the FastAPI application.
• Pythonic Libraries: Various Python libraries were utilized throughout the project, including HTTPX for making HTTP requests, Pillow for image manipulation, and imgkit for converting HTML to images.
• Render Cloud Provider: Render was chosen as the cloud provider for deployment due to its simplicity and ease of use.

🔄 Project Workflow