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import requests |
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import torch |
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from PIL import Image |
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from io import BytesIO |
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from diffusers import StableUnCLIPImg2ImgPipeline |
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pipe = StableUnCLIPImg2ImgPipeline.from_pretrained("/home/patrick_huggingface_co/stable-diffusion-2-1-unclip", torch_dtype=torch.float16 |
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) |
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pipe = pipe.to("cuda") |
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url = "https://raw.githubusercontent.com/CompVis/stable-diffusion/main/assets/stable-samples/img2img/sketch-mountains-input.jpg" |
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response = requests.get(url) |
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init_image = Image.open(BytesIO(response.content)).convert("RGB") |
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init_image = init_image.resize((768, 512)) |
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prompt = "A fantasy landscape, trending on artstation" |
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images = pipe(prompt, init_image).images |
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images[0].save("fantasy_landscape.png") |
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