ss designed to rapidly generate samples from pretrained diffusion models for inference. Popular pretrained model architectures and modules that can be used as building blocks for creating diffusion systems. Many different schedulers - algorithms that control how noise is added for training, and how to generate denoised images during inference. The quicktour will show you how to use the DiffusionPipeline for inference, and then walk you through 