Reducing the number of diffusion steps in image restoration can introduce certain drawbacks or limitations. One primary limitation is that fewer diffusion steps may result in over-smoothed or less detailed restored images, as there are fewer iterations for capturing intricate features during the restoration process. Additionally, reducing diffusion steps might limit the model's capacity to learn complex patterns and variations present in high-quality images, potentially leading to suboptimal results with reduced visual fidelity. Moreover, cutting down on diffusion steps could make it challenging for the model to handle diverse degradation types effectively, impacting its overall robustness and generalization capabilities.