Stable Diffusion's pipeline on one bench: a text encoder reads the prompt, a U-Net denoises a small latent picture while attending to the text, and a VAE decoder turns the latent into pixels. Then clip LoRA adapters onto the U-Net to teach it Ndebele house painting from 20 photos, and watch what too much training does to every other prompt. This lesson needs JavaScript.