ine behind the scenes. You can also pass any additional arguments specific to the pipeline class such as strength, which determines the amount of noise or variation added to an input image:   Copied from diffusers import AutoPipelineForImage2Image
import torch
import requests
from PIL import Image
from io import BytesIO

pipeline = AutoPipelineForImage2Image.from_pretrained(
    "runwayml/stable-diffusion-v1-5",
    torch_dtype=torch.float16,
 