[Day 2] I Trained an AI on 22 Photos of My Cat — Now It Draws Her in Any Scene So, yesterday I generated "some cat" Day 1 ended with "I made my DGX draw a cat" — but the cat that came out was just "a cat from somewhere". Today, the goal is to teach the AI about my actual cat (who's currently being looked after at my parents' place back in Japan). This is what people call LoRA training. LoRA: A technique that teaches an AI model "specific features" using a small set of images, without touching the base model itself. Apparently. The output is a small "diff" file (tens of MB). This is experiment #2. The training data Source material: 22 photos of my cat. I picked a mix of angles — front-facing, full body, sleepy poses, varying lighting — to give the AI a fair shot at recognizing the cat's defining features (tuxedo black-and-white pattern, white socks, the black smudge on the nose). Training pipeline 1. Pre-processing iPhone HEIC files don't work directly with most AI tools, so first conversion to JPG.…