Datasets:
metadata
license: cc-by-nc-4.0
task_categories:
- image-to-image
tags:
- medical
- rhinoplasty
- stable-diffusion
- lora
- before-after
size_categories:
- n<1K
π₯ Rhinoplasty Before/After Training Dataset
Complete training package for fine-tuning Stable Diffusion with LoRA on rhinoplasty before/after images.
π¦ What's Inside
This ZIP contains everything needed to train a LoRA model:
- 127 training pairs (254 images total) - High quality rhinoplasty results
- Train/validation split (80/20) - Pre-organized dataset structure
- Training script:
train_lora_sd.py- Ready-to-use Python script - Requirements:
requirements_lora.txt- All dependencies listed - Quick start guide:
LORA_QUICKSTART.md- Step-by-step instructions - RunPod automation:
RUNPOD_LORA_START.sh- One-command setup
π Quick Start
Option 1: RunPod (Recommended)
# 1. Download and extract
wget https://huggingface.co/datasets/morlako/rhinoplasty-lora-training/resolve/main/rhinoplasty_lora_training.zip
unzip rhinoplasty_lora_training.zip
cd rhinoplasty_lora_training
# 2. Run automated setup
bash RUNPOD_LORA_START.sh
# 3. Wait 2-4 hours - Done!