Project Overview

The project utilizes Stable Diffusion, a state-of-the-art model that converts text descriptions into high-quality images. It incorporates:

• CLIP: To understand and process the text input for better alignment with the generated images.
• U-Net Encoder/Decoder: For the image generation pipeline ensuring detailed and accurate imagery.

Features

• Generate images from text.
• Integration of robust models like CLIP and U-Net.
• Scalable architecture for further enhancements.

Installation

To set up this project, follow these steps:

# Clone the repository
git clone https://github.com/badaramoni/StableDiffusionText2Img.git
cd StableDiffusionText2Img