What is Diffusion model?

A diffusion model is a class of generative AI that creates images (or video, audio, 3D) by starting from pure random noise and iteratively 'denoising' it into a coherent output, guided by a text prompt or a reference image. The architecture became the dominant approach to image generation in 2022 with Stable Diffusion, and now underpins virtually every commercial image and video generator including Midjourney, DALL·E 3, Flux, Imagen, Veo, Sora, and Gemini 2.5 (Nano Banana). Diffusion's appeal for marketing use is that it produces photorealistic output at high resolutions with strong prompt adherence, and—crucially—accepts both text and image conditioning, which is what makes 'compose my real product into a generated scene' workflows feasible. From a marketer's perspective, the model type matters less than the system built on top of it: a thoughtful UGC platform built on Stable Diffusion can outperform a thin wrapper around GPT-Image, because identity preservation, prompt scaffolding, and scene composition are where production-quality results are won or lost.