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from diffusers import StableDiffusionImg2ImgPipeline |
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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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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((512, 512)) |
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path = "runwayml/stable-diffusion-v1-5" |
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run_compile = False |
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pipe = StableDiffusionImg2ImgPipeline.from_pretrained(path, torch_dtype=torch.float16) |
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pipe = pipe.to("cuda:0") |
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pipe.unet.to(memory_format=torch.channels_last) |
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if run_compile: |
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print("Run torch compile") |
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pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True) |
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prompt = "ghibli style, a fantasy landscape with castles" |
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for _ in range(3): |
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image = pipe(prompt=prompt, image=init_image).images[0] |
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