vs-mlrt
enhancr
vs-mlrt | enhancr | |
---|---|---|
2 | 3 | |
233 | 511 | |
6.0% | - | |
8.6 | 7.6 | |
4 days ago | 4 months ago | |
C++ | JavaScript | |
GNU General Public License v3.0 only | GNU General Public License v3.0 only |
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vs-mlrt
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Custom Anime4K shaders?
or whatever you want, you need to write the code yourself though. https://github.com/AmusementClub/vs-mlrt
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RTX Super Super Resolution
https://github.com/AmusementClub/vs-mlrt/wiki check the models.
enhancr
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With Cupscale dead, are there any alternatives left for upscaling FMV?
However, the free version of enhancr is significantly faster: https://github.com/mafiosnik777/enhancr/releases/tag/0.9.9
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[S3E5 Spoilers] That scene from Episode 5 AI interpolated + upscaled to 4k48fps
I got my hands on a software called https://github.com/mafiosnik777/enhancr and its premium version by paying for a month of the dude's Patreon, the rest is mostly just trial and error doing random shit and reading their Discord.
What are some alternatives?
mpv-upscale-2x_animejanai - Real-time anime upscaling to 4k in mpv with Real-ESRGAN compact models
Final2x - 2^x Image Super-Resolution
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
realcugan-ncnn-vulkan - real-cugan converter ncnn version, runs fast on intel / amd / nvidia / apple-silicon GPU with vulkan
MPV_lazy - 🔄 mpv player 播放器折腾记录 windows conf ; 中文注释配置 快速帮助入门 ; mpv-lazy 懒人包 win10 x64 config
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
nebuly - The user analytics platform for LLMs
Waifu2x-Extension-GUI - Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.
Real-ESRGAN-ncnn-vulkan - NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
upscale - My VitePress website I made to visually compare the output I created with over 600 different AI upscaling models. Running under https://phhofm.github.io/upscale/