What is a Diffusion Model?
Diffusion Models are the dominant architecture for image and video generation today. The idea: take a training image and gradually add noise until it becomes pure static, then train a neural network to reverse that process — learning to denoise noise back into a coherent image. When you prompt “a cat in a hat,” the model starts from random noise and iteratively denoises into something matching the prompt.
Stable Diffusion, Midjourney, DALL·E, Sora, and Veo all use diffusion (or variants). Real application: every blog cover image, product visual, X thread graphic, and Judy’s personal brand portraits we ship are generated through diffusion models.