What is Diffusion Model?
TL;DR
An AI model that gradually generates data from noise. The core technology behind image and video generation AI.
Diffusion Model: Definition & Explanation
A Diffusion Model is a generative AI model that produces high-quality data by reversing a process that gradually adds noise to data. During training, the model learns the noise-addition process; during generation, it progressively removes noise to reconstruct the data. Stable Diffusion, DALL-E 3, Midjourney, and most other leading image generation AIs are built on diffusion models. Compared to GANs (Generative Adversarial Networks), diffusion models offer superior training stability and generation quality, driving their rapid adoption. Beyond image generation, they are being applied to video generation (such as Sora), audio synthesis, and 3D model creation. As the foundation of Text-to-Image technology that produces high-quality images from text prompts, diffusion models are revolutionizing the creative industry.