Diffusion Models

A class of generative AI that creates new content by learning to reverse a gradual noise-adding process, enabling high-quality generation of images, audio, or other complex data. These models work by training on data where noise is progressively added, then learning to reverse this process to generate new, original content from random noise. Businesses can utilise diffusion models for creative content generation, product design visualisation, marketing material creation, and synthetic training data generation. Applications include generating product mockups, creating diverse marketing visuals, and producing training datasets for computer vision systems.