Diffusion Model

A diffusion model is an advanced algorithm class applied in generative AI — particularly for image generation — that operates on the principle of thermodynamic diffusion. During the process, the model learns how to restore clean data (e.g., an image) from a progressively noisy state (Gaussian noise), refining the output step by step until a coherent, detail-rich creation emerges. The main advantage of these models (e.g., Midjourney, Imagen) is exceptional image quality and precise adherence to text-to-image prompts, surpassing earlier GAN (Generative Adversarial Network) technologies. Diffusion models now represent the industry standard in visual content generation.