Project Title: Text-to-Image Generation Using Stable Diffusion

Short Description

This project implements a Text-to-Image Generator using the Stable Diffusion model, allowing users to generate high-quality images from textual descriptions. It leverages pre-trained deep learning models to create AI-generated images based on user-provided prompts. The project is designed with an interactive interface using Gradio, making it user-friendly for deployment and experimentation.

Key Components Involved

Programming Language

• Python

Libraries Used

• Gradio – for building an interactive web-based interface
• PIL (Pillow) – for image processing
• diffusers – for accessing Stable Diffusion models
• torch – for deep learning computations
• base64, io, os, IPython.display – for handling image encoding and display

Model Used

• Stable Diffusion from Hugging Face’s diffusers library

Functionalities

• Accepts text prompts from users
• Uses Stable Diffusion to generate images based on the provided text
• Displays the generated image using Gradio for easy access
• Can be deployed as a web-based AI image generator