README.md

---
license: mit
tags:
  - stable-diffusion
  - lora
  - safetensors
  - text-to-image
  - healthcare
  - kohya-ss
base_model: runwayml/stable-diffusion-v1-5
---

# Helios OrthoJoint

## Model Description
Helios-OrthoJoint is a Stable Diffusion 1.5 LoRA fine-tuned for generating high-quality orthopedic and medical joint imagery. Designed for healthcare AI applications including medical illustration, patient education, and synthetic data generation for joint anatomy.

## Model Architecture
- **Base Model**: Stable Diffusion v1.5 (`runwayml/stable-diffusion-v1-5`)
- **Fine-tuning Method**: LoRA (Low-Rank Adaptation)
- **Framework**: Diffusers / Kohya-SS
- **Task**: Text-to-Image Generation (Medical Domain)

## Training Details
- **Training Tool**: Kohya-SS LoRA trainer
- **Domain**: Orthopedic / Joint medical imagery
- **Trigger Words**: Use medical/orthopedic descriptors in prompts for best results
- **Steps**: Fine-tuned to convergence on curated orthopedic image dataset

## Files
| File | Description |
|------|-------------|
| `Helios_OrthoJoint_v1.safetensors` | LoRA weights (safetensors format) |

## Usage

```python
from diffusers import StableDiffusionPipeline
import torch
from huggingface_hub import hf_hub_download

# Download LoRA weights
lora_path = hf_hub_download(repo_id='devanshty/Helios-OrthoJoint', filename='Helios_OrthoJoint_v1.safetensors')

# Load base pipeline
pipe = StableDiffusionPipeline.from_pretrained(
    "runwayml/stable-diffusion-v1-5",
    torch_dtype=torch.float16
).to("cuda")

# Load LoRA weights
pipe.load_lora_weights(lora_path)

# Generate
image = pipe("orthopedic knee joint X-ray, medical illustration, high detail").images[0]
image.save("output.png")
```

## Download & Use

```python
from huggingface_hub import hf_hub_download
lora_path = hf_hub_download(repo_id='devanshty/Helios-OrthoJoint', filename='Helios_OrthoJoint_v1.safetensors')
```

## Disclaimer
Generated images are for research and educational use only and should not be used for clinical diagnosis.