CDC Image Upscaler
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 |  |
 |
| 2 |  |
 |
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.
1 maintainer
Metadata
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Release files for cdc-upscaler 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cdc_upscaler-0.2.0.tar.gz | 10.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cdc_upscaler-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.1 kB
Release files / cdc_upscaler-0.2.0.tar.gz
| Download URL | cdc_upscaler-0.2.0.tar.gz |
|---|---|
| Size | 10.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.9.18
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Release files / cdc_upscaler-0.2.0-py3-none-any.whl
| Download URL | cdc_upscaler-0.2.0-py3-none-any.whl |
|---|---|
| Size | 8.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.18
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