pip install torch pillow diffusers

import requests
import torch
from PIL import Image
from io import BytesIO

from diffusers import DiffusionPipeline

# load the pipeline
# make sure you're logged in with `huggingface-cli login`
model_id_or_path = "stable-diffusion-v1-5/stable-diffusion-v1-5"
# can also be used with dreamlike-art/dreamlike-photoreal-2.0
pipe = DiffusionPipeline.from_pretrained(model_id_or_path, torch_dtype=torch.float16, custom_pipeline="pipeline_fabric").to("cuda")

# let's specify a prompt
prompt = "An astronaut riding an elephant"
negative_prompt = "lowres, cropped"

# call the pipeline
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    num_inference_steps=20,
    generator=torch.manual_seed(12)
).images[0]

image.save("horse_to_elephant.jpg")

# let's try another example with feedback
url = "https://raw.githubusercontent.com/ChenWu98/cycle-diffusion/main/data/dalle2/A%20black%20colored%20car.png"
response = requests.get(url)
init_image = Image.open(BytesIO(response.content)).convert("RGB")

prompt = "photo, A blue colored car, fish eye"
liked = [init_image]
## same goes with disliked

# call the pipeline
torch.manual_seed(0)
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    liked=liked,
    num_inference_steps=20,
).images[0]

image.save("black_to_blue.png")