Example Concept: Diffusion models work by reversing a diffusion process, where an initial noisy image is progressively denoised through multiple steps. Each step applies learned patterns to reduce noise and enhance details, resulting in a realistic image. This iterative process allows the model to capture intricate textures and complex structures, improving the overall realism of the generated image.