Medical-X-ray-image-generation-stable-diffusion

Symptom-to-Medical-Image Generator

This project introduces a text-to-image diffusion model fine-tuned using LoRA (Low-Rank Adaptation) on top of CompVis/stable-diffusion-v1-4 for the task of medical image generation. The model generates X-ray, CT, or MRI scans based on natural language descriptions of patient symptoms, offering a novel way to visualize potential diagnostic outcomes.

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What Is This Model?

This is a domain-adapted diffusion model tailored to generate realistic medical scans conditioned on symptom prompts. The model was fine-tuned using LoRA, which allowed for:

• Efficient training without modifying the original model weights.
• Adaptation to a smaller, highly-specialized medical dataset.
• Retention of high-quality generative capabilities from the base model.

Key Features

• Symptom-to-scan generation: Input symptoms in plain English and receive a plausible X-ray, CT, or MRI image.
• Multi-modality support: Generate different types of scans (e.g., chest X-rays, brain MRIs) depending on the prompt context.
• High realism: Outputs are visually realistic and follow anatomical structure, trained using real medical datasets.

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When Can You Use This Model?

Use Cases

Not for Use In:

• Real-world clinical diagnosis or decision-making
• Generating scans for real patients or influencing treatment
• Bypassing ethical or regulatory controls in medical AI

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Example Usage

Input Prompt:

"I've been feeling really out of breath lately, especially when I'm walking up a flight of stairs or doing some light exercise. It's like my chest gets tight and I can't catch my breath. "

Output:

<img src="example.png" alt="Generated Chest X-ray" width="512"/>

The model generates a chest X-ray image that corresponds to symptoms of a potential pulmonary issue.

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Under the Hood

• Base Model: CompVis/stable-diffusion-v1-4
• Fine-tuning Method: LoRA (efficient, parameter-light adaptation)
• Dataset: Custom dataset of symptom-to-image pairs, curated for medical imaging consistency
• Framework: PyTorch + 🤗 Diffusers + Hugging Face Spaces

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Ethical & Legal Disclaimer

This model is strictly intended for research and educational use. It is not a substitute for professional medical judgment. Use of synthetic medical images should follow all local regulatory and ethical guidelines.

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