ge_processed[0])
...     display(f"Image at step {i}")
...     display(image_pil) To speed up the denoising process, move the input and model to a GPU:   Copied >>> model.to("cuda")
>>> noisy_sample = noisy_sample.to("cuda") Now create a denoising loop that predicts the residual of the less noisy sample, and computes the less noisy sample with the scheduler:   Copied >>> import tqdm

>>> sample = noisy_sample

>>> for i, t in enumerate(tqdm.tqd