GitHub - nagadomi/waifu2x: Image Super-Resolution for Anime-Style Art Image Super- Resolution for Anime -style art using Deep C on voluti on al Neural Networks. Clone via HTTPS Clone with Git or checkout with SVN using the repository’s web address. Test done for research and educational purposes. docker build -t waifu2x . There are four options, of which you should only use two: none and medium. That Japanese author, who goes by the GitHub handle nagadomi, describes the original waifu2x as " Image Super-Resolution for Anime-style art using Deep Convolutional Neural Networks. 超星网盘链接(直链, 不限速): Waifu2x-Extension-GUI-v2.51.01-beta-Portable.7z Github(境外): Waifu2x-Extension-GUI-v2.51.01-beta-Portable.7z
docker build -t waifu2x . nvidia-docker run -p 8812:8812 waifu2x th web.lua nvidia-docker run -v `pwd`/images:/images waifu2x th waifu2x.lua -force_cudnn 1 -m scale -scale 2 -i /images/miku_small.png -o /images/output.png Note that running waifu2x … It allows you to scale your videos using Waifu2x, without the need to export all images(10Gb-50Gb), as well as the possibility to detect duplicate frames, and save processing time. A lot of time (dependant upon GPU model) to process the video using waifu2x-w2xc (0.25fps on a GTX770 on DVD quality) Can be done without CUDA but expect ~0.02fps ---Step 1: Getting AviUtl--- Post image comparisons, techniques, benchmarks and general discussions. docker build -t waifu2x . While Waifu2x achieves stellar results with this application, the side effect is that the image becomes more oil pastel-like, which is why the program is intended for anime art. The original author of waifu2x wrote it for Microsoft Windows with Nvidias proprietary CUDA API as a requirement. Single-Image Super-Resolution for Anime-Style Art using Deep Convolutional Neural Networks. nvidia-docker run -p 8812:8812 waifu2x th web.lua nvidia-docker run -v `pwd`/images:/images waifu2x th waifu2x.lua -force_cudnn 1 -m scale -scale 2 -i /images/miku_small.png -o /images/output.png Note that running waifu2x … "waifu2x.- Image Super-Resolution for Anime-style art using Deep Convolutional Neural Networks. Dependencies. It can take an image (2Mb or less), and upscale it 1.6x or 2.0x the original, and still end up retaining sharp and pristine lines, etc. It can be used to increase image resolution while reducing noise and improving quality. Script to scale videos with waifu2x.

為Waifu2x-ncnn-vulkan引擎添加了多GPU支持(感谢 @CAFUCSteven 协助测试软件). [2] [3] It uses Nvidia CUDA for computing, [4] although alternative implementations that allow for OpenCL [5] and Vulkan [6] have been created.

waifu2x-multi https://waifu2x.me/ waifu2x-multi Pro（有料版） https://mng.waifu2x.me/ 少しでも興味をもって頂けましたら、ぜひ以下のアカウントをフォローしたり、以下のツイートをいいねやリツイートで応援して頂けると嬉しいです！

Source for test: 4th ending of the anime "Urusei Yatsura" (© 1981 Pierrot, Studio DEEN): "Hoshizora Cycling" by Virgin VS. ----- … This dataset contains ~104k cropped MLP faces from Derpibooru. A lot of time (dependant upon GPU model) to process the video using waifu2x-w2xc (0.25fps on a GTX770 on DVD quality) Can be done without CUDA but expect ~0.02fps ---Step 1: Getting AviUtl---