pt = "close-up photography of old man standing in the rain at night, in a street lit by lamps, leica 35mm summilux"
image = pipe(
    prompt=prompt,
    num_inference_steps=4,
    guidance_scale=0,  # set guidance scale to 0 to disable it
).images[0]   Image-to-image Extending LCM LoRA to image-to-image is possible:   Copied from diffusers import StableDiffusionXLImg2ImgPipeline, LCMScheduler
from diffusers.utils import load_image
import torch
