| import requests | |
| import torch | |
| from PIL import Image | |
| from io import BytesIO | |
| import time | |
| from diffusers import DiffusionPipeline | |
| pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-unclip", torch_dtype=torch.float16, variant="fp16") | |
| 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(init_image).images | |
| images[0].save("fantasy_landscape.png") | |