e the pipeline, allowing the user to always pass a CPU Generator even if the pipeline is run on a GPU. You’ll see the results are much closer now!   Copied import torch
from diffusers import DDIMPipeline
import numpy as np

model_id = "google/ddpm-cifar10-32"

# load model and scheduler
ddim = DDIMPipeline.from_pretrained(model_id, use_safetensors=True)
ddim.to("cuda")

# create a generator for reproducibility; notice you don't place it on the 