Example Concept: Diffusion models work by iteratively refining an image from noise, with each model variant potentially offering different strengths. For example, some models may prioritize high detail and sharpness, while others focus on smoother gradients and color transitions. The choice of model can thus significantly impact the visual style and fidelity of the generated image.