An amazing manga colorization project | 漫画AI上色
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- Skip color img just copy/sr to output.
- Replace the offered "zipfile" weight to old "pt" format to support pytorch version >=1.0
- Add tile img option for small cuda memory gpu.
- Add Real-ESRGAN (support tile) for output super-resolution.
- Support only SR mode; only Color mode; all Color mode.
- Support Chinese path.
- Support Sub-folder mode.
- Download generator. Put 'generator.pt' in
./networks/
wget https://cubeatic.com/index.php/s/PcB4WgBnHXEKJrE/download -O ./networks/generator.pt
- Put imgs into "./input/"
- To colorize image or folder of images, use the following command:
USE CPU:
$ python inference.py
USE GPU:
$ python inference.py -g
Only SR mode(no color):
$ python inference.py -onlysr
Color all mode(no skip color one):
$ python inference.py -ca
No SR mode(only color):
$ python inference.py -nosr
Sub-dir mode(handle all sub dir):
$ python inference.py -sub
- Colorized image saved to "./output/"
usage: inference.py [-h] [-p PATH] [-op OUTPUTPATH] [-gen GENERATOR]
[-sur SURPERPATH] [-ext EXTRACTOR] [-g] [-nd]
[-ds DENOISER_SIGMA] [-s SIZE] [-ct COLORTILE]
[-st SRTILE] [--tile_pad TILE_PAD] [-nosr] [-ca] [-onlysr]
optional arguments:
-h, --help show this help message and exit
-p PATH, --path PATH input dir/file
-op OUTPUTPATH, --outputpath OUTPUTPATH
output dir
-gen GENERATOR, --generator GENERATOR
-sur SURPERPATH, --surperpath SURPERPATH
-ext EXTRACTOR, --extractor EXTRACTOR
-g, --gpu Use gpu
-nd, --no_denoise No denoiser before color
-ds DENOISER_SIGMA, --denoiser_sigma DENOISER_SIGMA
Denoiser_sigma
-s SIZE, --size SIZE Color output size
-ct COLORTILE, --colortile COLORTILE
Color Tile size, 0 for no tile
-st SRTILE, --srtile SRTILE
SR Tile size, 0 for no tile
--tile_pad TILE_PAD Tile padding
-nosr, --no_superr SR or not SR by RealESRGAN_x4plus_anime_6B
aftercolored
-ca, --color_all colorall images, no skip color one
-onlysr, --only_sr only SR all images, no color
-sub, --all_subdir handle all input sub folders
Original | Colorization |
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