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

from diffusers import DiffusionPipeline

pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-unclip-small", torch_dtype=torch.float16, variant="fp16")
pipe.to("cuda")

# get image
url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/stable_unclip/tarsila_do_amaral.png"
response = requests.get(url)
image = Image.open(BytesIO(response.content)).convert("RGB")

image = pipe(image).images[0]
image.save(f"tarsila_variation.png")