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morlako/rhinoplasty_lora

๐Ÿฅ Rhinoplasty Before/After Training Dataset Complete training package for fine-tuning Stable Diffusion with LoRA on rhinoplasty before/after images. ๐Ÿ“ฆ 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 -โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/morlako/rhinoplasty_lora.

sourceHugging Facecc-by-nc-4.0updated 11mo agoView on Hugging Face
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Dataset Card

๐Ÿฅ Rhinoplasty Before/After Training Dataset

Complete training package for fine-tuning Stable Diffusion with LoRA on rhinoplasty before/after images.

๐Ÿ“ฆ What's Inside

This ZIP contains everything needed to train a LoRA model:

  • โ€”127 training pairs (254 images total) - High quality rhinoplasty results
  • โ€”Train/validation split (80/20) - Pre-organized dataset structure
  • โ€”Training script: train_lora_sd.py - Ready-to-use Python script
  • โ€”Requirements: requirements_lora.txt - All dependencies listed
  • โ€”Quick start guide: LORA_QUICKSTART.md - Step-by-step instructions
  • โ€”RunPod automation: RUNPOD_LORA_START.sh - One-command setup

๐Ÿš€ Quick Start

Option 1: RunPod (Recommended)

bash
# 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!