ler and see if you notice a difference! In the next section, you’ll take a closer look at the components - the model and scheduler - that make up the DiffusionPipeline and learn how to use these components to generate an image of a cat.  Models Most models take a noisy sample, and at each timestep it predicts the noise residual (other models learn to predict the previous sample directly or the velocity or v-prediction), the difference between a