A Diffusion Model is a type of Generative AI that learns to create data by reversing a gradual noise corruption process. It incrementally transforms random noise into coherent images or other data forms, often leveraging Neural Networks to guide this artistic rebirth. These models excel at synthesizing diverse and high-fidelity content.