Common LoRA Training Mistakes

Common mistakes include using too few images, leaving duplicates, writing vague captions, mixing unrelated concepts, and overtraining until the model becomes brittle.

Test early with neutral prompts and varied scenes. A useful LoRA should respond to the trigger without forcing every output into one narrow pose or background.