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

from diffusers import StableUnCLIPImg2ImgPipeline

pipe = StableUnCLIPImg2ImgPipeline.from_pretrained("/home/patrick_huggingface_co/stable-diffusion-2-1-unclip", torch_dtype=torch.float16
)  # TODO update model path
pipe = pipe.to("cuda")

url = "https://raw.githubusercontent.com/CompVis/stable-diffusion/main/assets/stable-samples/img2img/sketch-mountains-input.jpg"

response = requests.get(url)
init_image = Image.open(BytesIO(response.content)).convert("RGB")
init_image = init_image.resize((768, 512))

prompt = "A fantasy landscape, trending on artstation"

images = pipe(prompt, init_image).images
images[0].save("fantasy_landscape.png")