Diffusion Models

Diffusion models are one of the latest breakthroughs in generative AI. These models start with random noise and gradually refine it into structured, meaningful images or data through a series of transformations. The process is inspired by physics-based diffusion principles, where data is denoised step by step.

Stable Diffusion, one of the most well-known AI art generators, relies on this method to create realistic images from text descriptions. Diffusion models are now widely used in image enhancement, AI-assisted creativity, and animation, making them one of the most powerful generative AI approaches today.