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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

Clone the repository:

git clone https://github.com/yourusername/chest-xray-generator.git
cd chest-xray-generator

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