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Tool for image magnification using the waifu2x/realsr model and Vulkan API.

License

MIT license

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Name		Name	Last commit message	Last commit date
Latest commit History 99 Commits
.github		.github
Tuist		Tuist
Waifu2X		Waifu2X
.gitignore		.gitignore
.gitmodules		.gitmodules
.mise.toml		.mise.toml
LICENSE		LICENSE
Project.swift		Project.swift
README.md		README.md
Tuist.swift		Tuist.swift

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Waifu2X

Tool for image magnification using the waifu2x/realsr model and Vulkan API.
Version:1.7

Acknowledgement

Thanks

Thanks to@moeoverflow for the original repo.

Thanks to@shincurry for contributing to the UI of this project.

Usage

Single Mode

ClickSingle in the top tab.
Drag the image you want to enlarge to the left cell of the app.
Adjust the settings at the bottom.
Click2x! and the generated image will be displayed on the right.
Drag the image from the right cell to the location where you want to save it (the file name will bewaifu2x-output.png).

Multiple Mode

ClickMultiple in the top tab
Drag and drop images or directories into the table. (Only decodable images will be processed.)
Adjust the settings at the bottom
Click on2x! and the generated images will be saved to the location from where they originated with the.png extension. For example:

Input

.├── 1│   ├── IMG_2185.JPG│   ├── IMG_2211.JPG│   └── IMG_2212.JPG├── 2│   └── IMG_2208.PNG└── IMG_2213.JPG

Output

..├── 1│   ├── IMG_2185.JPG│   ├── IMG_2185.JPG.png│   ├── IMG_2211.JPG│   ├── IMG_2211.JPG.png│   ├── IMG_2212.JPG│   └── IMG_2212.JPG.png├── 2│   ├── IMG_2208.PNG│   └── IMG_2208.PNG.png├── IMG_2213.JPG└── IMG_2213.JPG.png

Benchmark

To run the benchmark, click onwaifu2x-gui ->Benchmark.

Build Instructions (macOS arm64)

brew install tuist cmake git-lfs# clone this repo firstgit clone --recurse-submodules --depth=1 https://github.com/EETagent/waifu2x-ncnn-vulkan-macos# change directorycd waifu2x-ncnn-vulkan-macos# check your cmake installationwhich cmake# generatetuist generate# buildtuist build --configuration Release --build-output-path build

Speed Comparison between Macs

Environment 0

MacBook Pro 14-inch 2023
macOS 14.0 (23A5286i)
Apple M2 Max
Apple M2 Max 30-core 32 GB

Model	Image Size	Target Size	Block Size	Total Time(sec)	GPU Memory(MB)
models-cunet	200x200	400x400	400/200/100	0.25/0.23/0.22	240/240/49
models-cunet	400x400	800x800	400/200/100	0.38/0.34/0.36	944/240/49
models-cunet	1000x1000	2000x2000	400/200/100	1.17/1.17/1.28	962/241/49
models-cunet	2000x2000	4000x4000	400/200/100	3.86/4.03/4.48	964/258/50
models-cunet	4000x4000	8000x8000	400/200/100	14.53/15.21/17.23	987/261/67
models-upconv_7_anime_style_art_rgb	200x200	400x400	400/200/100	0.18/0.15/0.15	141/141/33
models-upconv_7_anime_style_art_rgb	400x400	800x800	400/200/100	0.22/0.20/0.21	539/141/33
models-upconv_7_anime_style_art_rgb	1000x1000	2000x2000	400/200/100	0.58/0.59/0.62	541/142/49
models-upconv_7_anime_style_art_rgb	2000x2000	4000x4000	400/200/100	1.89/1.93/2.06	543/159/50
models-upconv_7_anime_style_art_rgb	4000x4000	8000x8000	400/200/100	6.68/6.88/7.43	566/162/51

noise: 2, scale: 2, gpuid: 0, tta mode: NO

Environment 1

MacBook Pro 15-inch 2018
macOS 10.14.6 (18G103)
Intel Core i9 8950HK
AMD Radeon Pro Vega 20

Model	Image Size	Target Size	Block Size	Total Time(sec)	GPU Memory(MB)
models-cunet	200x200	400x400	400/200/100	0.47/0.43/0.49	613/613/172
models-cunet	400x400	800x800	400/200/100	0.97/0.88/0.95	2407/614/173
models-cunet	1000x1000	2000x2000	400/200/100	3.56/3.61/4.18	2415/617/175
models-cunet	2000x2000	4000x4000	400/200/100	12.72/13.22/15.49	2420/669/193
models-cunet	4000x4000	8000x8000	400/200/100	49.79/51.51/60.60	2452/645/197
models-upconv_7_anime_style_art_rgb	200x200	400x400	400/200/100	0.26/0.24/0.20	460/460/119
models-upconv_7_anime_style_art_rgb	400x400	800x800	400/200/100	0.47/0.40/0.40	1741/460/120
models-upconv_7_anime_style_art_rgb	1000x1000	2000x2000	400/200/100	1.67/1.64/1.73	1765/463/121
models-upconv_7_anime_style_art_rgb	2000x2000	4000x4000	400/200/100	6.12/6.11/6.49	1769/466/122
models-upconv_7_anime_style_art_rgb	4000x4000	8000x8000	400/200/100	23.75/23.71/25.27	1801/489/142

noise: 2, scale: 2, gpuid: 0, tta mode: NO

Environment 2

MacBook Pro 15-inch 2018
macOS 10.14.6 (18G84)
Intel Core i9 8850HK
AMD Radeon 560X

Model	Image Size	Target Size	Block Size	Total Time(sec)	GPU Memory(MB)
models-cunet	200x200	400x400	400/200/100	2.00/0.53/0.56	613/613/172
models-cunet	400x400	800x800	400/200/100	1.29/1.18/1.26	2407/614/173
models-cunet	1000x1000	2000x2000	400/200/100	5.20/5.17/5.85	2415/617/175
models-cunet	2000x2000	4000x4000	400/200/100	19.07/19.35/22.25	2420/669/193
models-cunet	4000x4000	8000x8000	400/200/100	74.49/76.73/88.12	2452/644/197
models-upconv_7_anime_style_art_rgb	200x200	400x400	400/200/100	0.31/0.27/0.27	460/460/119
models-upconv_7_anime_style_art_rgb	400x400	800x800	400/200/100	0.65/0.54/0.55	1741/460/119
models-upconv_7_anime_style_art_rgb	1000x1000	2000x2000	400/200/100	2.41/2.34/2.48	1765/463/121
models-upconv_7_anime_style_art_rgb	2000x2000	4000x4000	400/200/100	8.74/8.84/9.43	1769/466/122
models-upconv_7_anime_style_art_rgb	4000x4000	8000x8000	400/200/100	32.66/33.00/35.29	1801/489/142

noise: 2, scale: 2, gpuid: 0, tta mode: NO

Environment 3

MacBook Pro 15-inch 2018
macOS 10.14.6 (18G103)
Intel Core i9 8950HK
Intel UHD Graphics 630

Model	Image Size	Target Size	Block Size	Total Time(sec)	GPU Memory(MB)
models-cunet	200x200	400x400	400/200/100	0.95/0.99/0.87	616/616/176
models-cunet	400x400	800x800	400/200/100	2.53/2.27/2.48	2408/616/176
models-cunet	1000x1000	2000x2000	400/200/100	12.40/12.00/13.31	2408/616/176
models-cunet	2000x2000	4000x4000	400/200/100	44.50/46.81/52.13	2408/669/196
models-cunet	4000x4000	8000x8000	400/200/100	175.64/185.56/222.58	2431/637/196
models-upconv_7_anime_style_art_rgb	200x200	400x400	400/200/100	1.07/1.27/0.83	466/466/125
models-upconv_7_anime_style_art_rgb	400x400	800x800	400/200/100	2.30/1.09/1.11	1746/466/125
models-upconv_7_anime_style_art_rgb	1000x1000	2000x2000	400/200/100	6.30/5.70/5.92	1762/466/125
models-upconv_7_anime_style_art_rgb	2000x2000	4000x4000	400/200/100	22.12/22.48/23.71	1762/466/125
models-upconv_7_anime_style_art_rgb	4000x4000	8000x8000	400/200/100	87.28/89.11/93.98	1780/482/141

noise: 2, scale: 2, gpuid: 1, tta mode: NO

Environment 4

MacBook 12-inch Early 2016
macOS 10.14.6 (18G84)
Intel Core m7 6Y75
Intel HD Graphics 515

Model	Image Size	Target Size	Block Size	Total Time(sec)	GPU Memory(MB)
models-cunet	200x200	400x400	400/200/100	1.12/1.41/1.23	616/616/176
models-cunet	400x400	800x800	400/200/100	3.06/2.90/3.34	2408/616/176
models-cunet	1000x1000	2000x2000	400/200/100	18.29/17.81/19.89	2408/616/176
models-cunet	2000x2000	4000x4000	400/200/100	66.55/71.79/85.83	2408/665/196
models-cunet	4000x4000	8000x8000	400/200/100	288.38/337.44/385.85	2431/637/196
models-upconv_7_anime_style_art_rgb	200x200	400x400	400/200/100	0.63/0.69/0.53	466/466/125
models-upconv_7_anime_style_art_rgb	400x400	800x800	400/200/100	1.62/1.43/1.47	1746/466/125
models-upconv_7_anime_style_art_rgb	1000x1000	2000x2000	400/200/100	9.19/9.06/9.46	1762/466/125
models-upconv_7_anime_style_art_rgb	2000x2000	4000x4000	400/200/100	35.52/37.66/41.57	1762/466/125
models-upconv_7_anime_style_art_rgb	4000x4000	8000x8000	400/200/100	199.20/182.04/159.11	1780/482/141

noise: 2, scale: 2, gpuid: 0, tta mode: NO

Speed Comparison (not really) with waifu2x-caffe-cui & waifu2x-ncnn-vulkan

Environment (waifu2x-caffe-cui & waifu2x-ncnn-vulkan)

Windows 10 1809
AMD R7-1700
Nvidia GTX-1070
Nvidia driver 419.67
CUDA 10.1.105
cuDNN 10.1

Environment (waifu2x-ncnn-vulkan-macos)

macOS 10.14.6 (18G103)
Intel Core i9 8950HK
AMD Radeon Pro Vega 20

cunet

	Image Size	Target Size	Block Size	Total Time(s)	GPU Memory(MB)
waifu2x-ncnn-vulkan-macOS	200x200	400x400	400/200/100	0.46/0.44/0.43	621/621/180
waifu2x-ncnn-vulkan	200x200	400x400	400/200/100	0.86/0.86/0.82	638/638/197
waifu2x-caffe-cui	200x200	400x400	400/200/100	2.54/2.39/2.36	3017/936/843
waifu2x-ncnn-vulkan-macOS	400x400	800x800	400/200/100	0.91/0.84/0.92	2415/621/180
waifu2x-ncnn-vulkan	400x400	800x800	400/200/100	1.17/1.04/1.02	2430/638/197
waifu2x-caffe-cui	400x400	800x800	400/200/100	2.91/2.43/2.7	3202/1389/1178
waifu2x-ncnn-vulkan-macOS	1000x1000	2000x2000	400/200/100	3.54/3.58/4.18	2422/624/182
waifu2x-ncnn-vulkan	1000x1000	2000x2000	400/200/100	2.35/2.26/2.46	2430/638/197
waifu2x-caffe-cui	1000x1000	2000x2000	400/200/100	4.04/3.79/4.35	3258/1582/1175
waifu2x-ncnn-vulkan-macOS	2000x2000	4000x4000	400/200/100	12.83/13.25/15.44	2426/676/200
waifu2x-ncnn-vulkan	2000x2000	4000x4000	400/200/100	6.46/6.59/7.49	2430/686/213
waifu2x-caffe-cui	2000x2000	4000x4000	400/200/100	7.01/7.54/10.11	3258/1499/1200
waifu2x-ncnn-vulkan-macOS	4000x4000	8000x8000	400/200/100	49.56/51.44/60.56	2459/651/203
waifu2x-ncnn-vulkan	4000x4000	8000x8000	400/200/100	22.78/23.78/27.61	2448/654/213
waifu2x-caffe-cui	4000x4000	8000x8000	400/200/100	18.45/21.85/31.82	3325/1652/1236

upconv_7_anime_style_art_rgb

	Image Size	Target Size	Block Size	Total Time(s)	GPU Memory(MB)
waifu2x-ncnn-vulkan-macOS	200x200	400x400	400/200/100	0.23/0.20/0.22	465/465/125
waifu2x-ncnn-vulkan	200x200	400x400	400/200/100	0.74/0.75/0.72	482/482/142
waifu2x-caffe-cui	200x200	400x400	400/200/100	2.04/1.99/1.99	995/546/459
waifu2x-ncnn-vulkan-macOS	400x400	800x800	400/200/100	0.49/0.42/0.41	1747/466/125
waifu2x-ncnn-vulkan	400x400	800x800	400/200/100	0.95/0.83/0.81	1762/482/142
waifu2x-caffe-cui	400x400	800x800	400/200/100	2.08/2.12/2.11	995/546/459
waifu2x-ncnn-vulkan-macOS	1000x1000	2000x2000	400/200/100	1.67/1.60/1.68	1770/468/127
waifu2x-ncnn-vulkan	1000x1000	2000x2000	400/200/100	1.52/1.41/1.44	1778/482/142
waifu2x-caffe-cui	1000x1000	2000x2000	400/200/100	2.72/2.60/2.68	1015/570/459
waifu2x-ncnn-vulkan-macOS	2000x2000	4000x4000	400/200/100	6.11/5.89/6.18	1774/472/128
waifu2x-ncnn-vulkan	2000x2000	4000x4000	400/200/100	3.45/3.42/3.63	1778/482/142
waifu2x-caffe-cui	2000x2000	4000x4000	400/200/100	3.90/4.01/4.35	1015/521/462
waifu2x-ncnn-vulkan-macOS	4000x4000	8000x8000	400/200/100	22.92/22.70/24.16	1806/495/147
waifu2x-ncnn-vulkan	4000x4000	8000x8000	400/200/100	11.16/11.29/12.07	1796/498/158
waifu2x-caffe-cui	4000x4000	8000x8000	400/200/100	9.24/9.81/11.16	995/546/436

About

Tool for image magnification using the waifu2x/realsr model and Vulkan API.

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Waifu2X/RealSR Universal Latest

Jan 10, 2025

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C++90.6%
C6.1%
C#0.7%
Python0.7%
Lua0.6%
Objective-C0.4%
Other0.9%

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License

EETagent/waifu2x-ncnn-vulkan-macos

Folders and files

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History

Repository files navigation

Waifu2X

Acknowledgement

Thanks

Usage

Single Mode

Multiple Mode

Benchmark

Build Instructions (macOS arm64)

Speed Comparison between Macs

Environment 0

Environment 1

Environment 2

Environment 3

Environment 4

Speed Comparison (not really) with waifu2x-caffe-cui & waifu2x-ncnn-vulkan

Environment (waifu2x-caffe-cui & waifu2x-ncnn-vulkan)

Environment (waifu2x-ncnn-vulkan-macos)

cunet

upconv_7_anime_style_art_rgb

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