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22 lines
715 B
Python
22 lines
715 B
Python
import requests
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from PIL import Image
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from io import BytesIO
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from pipeline_amdshark_stable_diffusion_upscale import (
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AMDSharkStableDiffusionUpscalePipeline,
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)
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import torch
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model_id = "stabilityai/stable-diffusion-x4-upscaler"
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pipeline = AMDSharkStableDiffusionUpscalePipeline(model_id)
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# let's download an image
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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")
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