# CDC Image Upscaler
[](https://pypi.org/project/cdc_upscaler/)
[](https://colab.research.google.com/github/narugo1992/cdc_upscaler/blob/main/examples/cdc_upscaler_example.ipynb)
[](https://github.com/narugo1992/cdc_upscaler/actions?query=workflow%3A%22Code+Test%22)
[](https://github.com/narugo1992/cdc_upscaler/actions?query=workflow%3A%22Package+Release%22)
[](https://codecov.io/gh/narugo1992/cdc_upscaler)
[](https://github.com/narugo1992/cdc_upscaler/stargazers)
[](https://github.com/narugo1992/cdc_upscaler/network)
[](https://github.com/narugo1992/cdc_upscaler/issues)
[](https://github.com/narugo1992/cdc_upscaler/pulls)
[](https://github.com/narugo1992/cdc_upscaler/graphs/contributors)
[](https://github.com/narugo1992/cdc_upscaler/blob/master/LICENSE)
Wrapped tools based
on [xiezw5/Component-Divide-and-Conquer-for-Real-World-Image-Super-Resolution](https://github.com/xiezw5/Component-Divide-and-Conquer-for-Real-World-Image-Super-Resolution).
First you need to install this with `pip`:
```shell
pip install cdc_upscaler
```
Here is a simple example:
```python
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 |  |  |
| 2 |  |  |
This pretrained model is hosted on [7eu7d7/CDC_anime](https://huggingface.co/7eu7d7/CDC_anime), which is provided
by [7eu7d7](https://github.com/7eu7d7). The onnx model used is hosted
on [narugo/CDC_anime_onnx](https://huggingface.co/narugo/CDC_anime_onnx/tree/main).
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