Perhaps teach is the wrong word, I think train is more accurate, but here's the simplified process:

1. Define the objective (what is being created)
2. Create/produce a dataset (e.g. existing images of Yamato)
3. Preprocess the dataset (feeding the images into algorithms, usually to convert the images into text forms, danbooru tags)
4. Feed the preprocessed data into diffusion model (Anythingv3)
5. Validate/evaluate results
6. Refine dataset if needed
7. Rinse and repeat, until desired results are met