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real-cugan converter ncnn version, runs fast on intel / amd / nvidia / apple-silicon GPU with vulkan

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Real-GUGAN has introduced a parameter called "alpha" in 20220227. > alpha: 该值越大AI修复程度、痕迹越小,越模糊;alpha越小处理越烈,越锐化,色偏(对比度、饱和度增强)越大;默认为1不调整,推荐调整区间(0.7,1.3); It is possible to specify this parameter in realcugan-ncnn-vulkan? Is there any plan to support it? Thanks.

_wfopen H:\Tools\realcugan-ncnn-vulkan-20220318-windows\models-se/up4x-denoise1x.param failed Is what I get when trying to run 4x upscale against a folder of pngs. Same folder works in 2x upscale, 3x fails same as 4x. Command...

运行: realcugan-ncnn-vulkan -i $file -o $file -s 4 -n 1 -x [0 Apple M1 Max] queueC=0[1] queueG=0[1] queueT=0[1] [0 Apple M1 Max] bugsbn1=0 bugbilz=188 bugcopc=0 bugihfa=0 [0 Apple M1 Max]...

Hi there, I'm trying to install module realcugan-ncnn-vulkan-python on my macbook, but getting an error: > aise CalledProcessError(retcode, cmd) > subprocess.CalledProcessError: Command '['cmake', '-S', '/private/var/folders/p9/mx7w4h2149vdglfr2c0ddmpm0000gn/T/pip-install-p6r_9mxi/realcugan-ncnn-vulkan-python_71a0be6d527745c59fa316681cfad201/realcugan_ncnn_vulkan_python', '-B', '/private/var/folders/p9/mx7w4h2149vdglfr2c0ddmpm0000gn/T/pip-install-p6r_9mxi/realcugan-ncnn-vulkan-python_71a0be6d527745c59fa316681cfad201/build/temp.macosx-10.9-x86_64-cpython-39_realcugan-ncnn-vulkan-python', '-GNinja', '-DCMAKE_BUILD_TYPE=Release', '-DCMAKE_INSTALL_PREFIX:PATH=/private/var/folders/p9/mx7w4h2149vdglfr2c0ddmpm0000gn/T/pip-install-p6r_9mxi/realcugan-ncnn-vulkan-python_71a0be6d527745c59fa316681cfad201/build/lib.macosx-10.9-x86_64-cpython-39/realcugan_ncnn_vulkan_python',...

realcugan-ncnn-vulkan: ![Screenshot (180)](https://user-images.githubusercontent.com/29500216/160882454-dac7a2c4-0522-4519-b381-924923b7b26e.png) realcugan: ![Screenshot (179)](https://user-images.githubusercontent.com/29500216/160882498-fc976e41-d507-4108-a364-ff6deabb60c2.png) Both upscaled the same source image 4x (2 times 2x). I used tta in realcugan-ncnn-vulkan.

``` image unkind\illust_96146558_20220214_121642.png has alpha channel ! unkind\illust_96146558_20220214_121642.png will output unkind\illust_96146558_20220214_121642.png0RCG1.5.jpg.png gap sync gap0 gap sync gap1 gap sync gap2 gap sync gap3 ``` 当出现 alpha channel 时,卡在这个进度。然后输出文件尺寸持续变大

![image](https://user-images.githubusercontent.com/37031767/154896980-64dae15f-8af0-4646-8f01-535e9ce799cc.png) 已确认是-x参数引起,不添加-x后无此问题

你好 首先非常感谢提供ncnn版本 想请教关于syncgap-mode的用途是什么 当放大解析度较大的图片时,syncgap-mode使用default会出现如下的错误,除此之外皆可正常使用,这是否是显存不足的问题 ![image](https://user-images.githubusercontent.com/87666103/154846672-5abc31aa-723e-4f1c-9d39-14aafbcbee79.png) 第二个问题是,使用no-sync会出现以下的长方形边界,是否不该提供no-sync的方式 [图源1](https://www.pixiv.net/artworks/95008985) [图源2](https://www.pixiv.net/artworks/95739807) ![image](https://user-images.githubusercontent.com/87666103/154846857-fa4aa5c1-6444-46a7-ae4d-786747481b0a.png) ![image](https://user-images.githubusercontent.com/87666103/154847161-20ae892c-3d8f-496e-8cbe-b9e9664d6ed4.png) 第三个是使用cugan后会有色偏的问题 [图源](https://www.pixiv.net/artworks/93387702) 原图 ![image](https://user-images.githubusercontent.com/87666103/154854919-518995f2-aee1-4dc8-95af-2471b80eec6b.png) 使用CUGAN后 ![image](https://user-images.githubusercontent.com/87666103/154854929-0306e4ba-8453-4017-b91c-d65fb3c92259.png) [图源](https://twitter.com/u_m_o_u/status/1459200078162190337) 原图 ![image](https://user-images.githubusercontent.com/87666103/154856104-57fbd339-6bb1-4d82-b667-f5b0fa653c68.png) 使用CUGAN后 ![image](https://user-images.githubusercontent.com/87666103/154856109-85c0feba-681c-4ff5-b4bf-76aa41276f8a.png)

请问一下,使用ncnn vulkan可以支持AMD卡,但是想问一下如果使用Nvidia显卡,那么ncnn vulkan和cuda的速度相比怎么样呢?ncnn vulkan会不会慢很多?谢谢。