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README.md

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+---
+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.