How to Fine-Tune Stable Diffusion for Pixel Art (LoRA Guide)

Do you want to learn how to train an AI to generate pixel art? In this tutorial I will show you everything you need to fine-tune a stable diffusion model to generate video game sprites. This guide shows my complete journey training diffusion models. I'll break down how diffusion models actually work, explain concepts like the U-Net, VAE, and why training with a LoRA is so effective. I teach you how you should create a dataset and label the items. Finally, I'll show you the lessons learned from my 31 training runs—the failures, the horrors, and the final breakthrough that let me generate sprites on my own MacBook. Resources & Links - Fine-tuning code: https://github.com/vossenwout/pixel-art-diffusion.git - Final model: https://huggingface.co/pookie3000/pixel-monsters-lora-sdxl - Special thanks to enverge for providing the compute: https://enverge.ai Timestamps: 0:00 - Why Create AI Pixel Art? 1:02 - Image Generation Culture Shock 1:52 - How To Create a Dataset? 3:26 - How Does Diffusion Work? 4:10 - Diffusion Model Architecture 5:07 - Nvidia Compute Secured 5:35 - kohya_ss vs diffusers 5:55 - Creating Training Scripts 6:30 - Best Training Practices 7:35 - Best Model Showcase 8:35 - Reflection on Journey If you're interested in AI, game development, or just enjoy watching someone struggle for your entertainment, this video is for you. #ai #gaming #programming