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Image upscaler for anime.

Project description

CDC Image Upscaler

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Wrapped tools based on xiezw5/Component-Divide-and-Conquer-for-Real-World-Image-Super-Resolution.

First you need to install this with pip:

pip install cdc_upscaler

Here is a simple example:

import logging
import os

from PIL import Image

from cdc_upscaler import image_upscale

if __name__ == '__main__':
    logging.basicConfig(level=logging.INFO)
    original_image = Image.open('images/your input image.png')

    # any scale is supported, such as 1.5, 2, even 6 (which may take some more time)
    upscaled_image = image_upscale(original_image, scale=4)
    os.makedirs('output', exist_ok=True)
    upscaled_image.save('output/result.png')
# original 4x
1 angelina.png angelina_x4.png
2 angelina_elite2.png angelina_elite2_x4.png

This pretrained model is hosted on 7eu7d7/CDC_anime, which is provided by 7eu7d7. The onnx model used is hosted on narugo/CDC_anime_onnx.

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