How to Train Stable Diffusion LoRA Models: Complete Guide for 2026

End-to-end LoRA training guide covering dataset preparation (10-30 images), captioning strategies, Kohya_ss configuration, learning rate tuning, rank selection, and training for SD1.5/SDXL/Flux models.

Complete LoRA training pipeline: dataset collection (10-30 high-quality images), image preprocessing and cropping, captioning with BLIP/WD14, Kohya_ss setup and configuration, learning rate selection (1e-4 to 5e-5), rank/dimension tuning (4-128), training monitoring with TensorBoard, and testing trained models across different base checkpoints.