eline.from_pretrained() and place it on a GPU (if available):   Copied import torch
from diffusers import DiffusionPipeline
from diffusers.utils import make_image_grid

pipe = DiffusionPipeline.from_pretrained(
    "runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16, use_safetensors=True
)
pipe = pipe.to("cuda") Now, define four different Generators and assign each Generator a seed (0 to 3) so you can reuse a Generator later for a speci