A three-and-a-half-minute look inside a diffusion image generator. What the network actually computes, how it trains on still photos with random noise levels and backpropagation, and how generation updates every pixel value with a·x − b·ε̂, thirty times, until static becomes a fox. Every intermediate image is real output from Stable Diffusion XL, recorded step by step.