ImageGenie - Text-to-Image Converter

This project utilizes a stable diffusion model to convert text input into corresponding images. The stable diffusion model is a powerful generative model capable of generating high-quality images from textual descriptions.

Overview

The Text-to-Image project leverages the stable diffusion model to generate images based on textual descriptions provided as input. By employing advanced machine learning techniques, this project aims to bridge the gap between textual and visual representations, enabling users to generate images directly from text.

Usage

To use the Text-to-Image model, follow these steps:

1. Install the necessary dependencies.
2. Load the pre-trained stable diffusion model.
3. Input textual descriptions.
4. Generate corresponding images.

Pre-trained Model

The stable diffusion model used in this project has been pre-trained on a large dataset of textual descriptions and corresponding images. It has learned to generate high-quality images based on a wide range of textual inputs.