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import requests |
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from PIL import Image |
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from io import BytesIO |
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from diffusers import StableDiffusionUpscalePipeline |
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import torch |
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model_id = "stabilityai/stable-diffusion-x4-upscaler" |
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pipeline = StableDiffusionUpscalePipeline.from_pretrained(model_id, torch_dtype=torch.float16) |
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pipeline = pipeline.to("cuda") |
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url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd2-upscale/low_res_cat.png" |
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response = requests.get(url) |
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low_res_img = Image.open(BytesIO(response.content)).convert("RGB") |
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low_res_img = low_res_img.resize((128, 128)) |
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prompt = "a white cat" |
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upscaled_image = pipeline(prompt=prompt, image=low_res_img).images[0] |
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upscaled_image.save("upsampled_cat.png") |
