Think of diffusion models as master chefs who learn to make dishes that taste just like the ones they’ve tried before. The chef tastes a dish, understands the ingredients, and then makes a new dish that tastes very similar. Similarly, diffusion models can generate data (like images) that are very much like the ones they’ve been trained on.