Okay, since every few month someone asks me why Hybrid does not support VSGAN (https://github.com/rlaPHOENiX/VSGAN) here's the answer:
It would increase Hybrids install size by 5,4 GB.
In case you want to verify it, here's how-to "Create a VSGAN portable version":
So adding this to Hybrid would add an additional 5.4GB and this does not include any models (each ~64MB).
In case you want to try out VSGAN:
start the preview.
Cu Selur
Links to pth files:
It would increase Hybrids install size by 5,4 GB.
In case you want to verify it, here's how-to "Create a VSGAN portable version":
- Download latest Vapoursynth portabe Fatpack (https://github.com/theChaosCoder/vapours...K/releases) and extract it to a folder
- Delete the links an folders inside the VapourSynth64 aside from VapourSynth64 and the Scripts folder (optional)
- Open a Windows command prompt and change into the VapourSynth64/VapourSynth64-folder.
- Call `python.exe -m pip install --upgrade pip" to update pip` to update pip
- Call `python.exe -m pip install torch==1.8.1+cu111 torchvision==0.9.1+cu111 torchaudio===0.8.1 -f https://download.pytorch.org/whl/torch_stable.html` to install pytorch
For cuda10 use `python.exe -m pip install torch==1.8.1+cu102 torchvision==0.9.1+cu102 torchaudio===0.8.1 -f https://download.pytorch.org/whl/torch_stable.html` to install pytorch
- Call `python.exe -m pip install pyd2v pymediainfo vsgan" to install vsgan`
- Close Windows Command Prompt.
So adding this to Hybrid would add an additional 5.4GB and this does not include any models (each ~64MB).
In case you want to try out VSGAN:
- Download some models
- I went to https://upscale.wiki/wiki/Model_Database and then to Anime Oldies Alternative (https://drive.google.com/drive/folders/1...o6Dnk-svNL) and downloaded the pth files and extract them somewhere.
- Open VapourSynth64Portable\VapourSynth64\vsedit.exe and write a script like:
# Imports
import vapoursynth as vs
core = vs.get_core()
# Loading Plugins
from vsgan import VSGAN
# Loading F:\TestClips&Co\files/5000frames.mp4 using LWLibavSource
clip = core.lsmas.LWLibavSource(source="F:/TestClips&Co/files/5000frames.mp4", format="YUV420P10", cache=0, prefer_hw=0)
# making sure input color matrix is set as 470bg
clip = core.resize.Point(clip, matrix_in_s="470bg",range_s="limited")
# making sure frame rate is set to 25
clip = core.std.AssumeFPS(clip, fpsnum=25, fpsden=1)
# Setting color range to TV (limited) range.
clip = core.std.SetFrameProp(clip=clip, prop="_ColorRange", intval=1)
# creating a VSGAN instance
vsgan = VSGAN("cuda")
# setting model
model = "C:/Users/Selur/Desktop/Vapoursynth64portable/vsgan_models/PSNR Pretrain Models/4xPSNR.pth"
vsgan.load_model(model)
# convert clip color space from YUV420P8 to RGB24 for vsgan
clip = core.resize.Bicubic(clip=clip, format=vs.RGB24, matrix_in_s="470bg", range_s="limited")
clip = vsgan.run(clip=clip)
clip.set_output()
start the preview.
Cu Selur
Links to pth files:
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Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
