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# Chest X-Ray Generator
Generate realistic chest X-ray images from text descriptions using a latent diffusion model.
## Overview
This project provides a state-of-the-art generative model for creating synthetic chest X-ray images conditioned on text descriptions. The model has been trained on real X-ray images with corresponding radiologist reports and can generate high-quality, realistic X-rays based on medical text prompts.
The model architecture includes:
- A VAE encoder/decoder specialized for chest X-rays
- A medical text encoder based on BioBERT
- A UNet with cross-attention for conditioning
- A diffusion model that ties everything together
## Installation
1. Clone the repository:
```bash
git clone https://github.com/yourusername/chest-xray-generator.git
cd chest-xray-generator |