Gan vs Diffusion Models -- What's the Difference?

With the potential to revolutionize a wide range of industries, AI is bound to have a major impact on our lives in the coming years. However, before we can grasp the full potential of AI, we need to understand its foundations -- in other words, the diffusion model and generative adversarial networks (GANs). In a nutshell, the diffusion model is a machine-learning model that helps us predict the spread of a given virus or disease. On the other hand, a GAN is a model that can generate images, sounds, or text autonomously. So which one is better?