1 Reply by Piovasia

(2,112 replies, posted in Using SVP)

aloola wrote:

You followed this guide, right?

OK, I got what you want now. RIFE TRT in that guide always runs model 4.6 from the start. Changing models in that guide does nothing.


TRT model version use: rife_v4.x.onnx *.onnx file
ncnn model version use: flownet.bin, flownet.param file


the models from https://github.com/styler00dollar/Vapou … cnn-Vulkan, only contain flownet.bin, flownet.param file. It means it only runs with RIFE ncnn, not RIFE TRT.
the title also said VapourSynth-RIFE-ncnn-Vulkan.

Oh, I see
Thanks you very much! (≧▽≦)

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2 Reply by Piovasia

(2,112 replies, posted in Using SVP)

aloola wrote:
Piovasia wrote:
aloola wrote:

just uninstall SVP, and install SVP again.


That's guide is outdated, you don't need it.

more infos here:
https://www.svp-team.com/wiki/RIFE_AI_interpolation

I know that's guide is outdated.
But for me, I think it's much better than version update in SVP now
I can choose to load model from: https://github.com/styler00dollar/Vapou … cnn-Vulkan, the assemble version pretty smooth and not only limited by version 4.4 and 4.6 now in SVP.
After update in SVP, I regret, I can't roll back.

it's still there, RIFE NCNN/Vulkan (old version).

https://media.discordapp.net/attachments/290709370600423424/1067484032876687380/image.png

TRT model and NCNN model are different. (iirc)

Umm, If you had installed old method, you can load all Ncnn model with TensorRt.

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3 Reply by Piovasia

(2,112 replies, posted in Using SVP)

aloola wrote:

just uninstall SVP, and install SVP again.


That's guide is outdated, you don't need it.

more infos here:
https://www.svp-team.com/wiki/RIFE_AI_interpolation

I know that's guide is outdated.
But for me, I think it's much better than version update in SVP now
I can choose to load model from: https://github.com/styler00dollar/Vapou … cnn-Vulkan, the assemble version pretty smooth and not only limited by version 4.4 and 4.6 now in SVP.
After update in SVP, I regret, I can't roll back.

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4 Reply by Piovasia

(2,112 replies, posted in Using SVP)

Xenocyde wrote:
Piovasia wrote:

Could someone share me the generate.js and base.py file, please ?  (╯•﹏•╰)

Go to this page and find Chainik's post with red text warnings (towards the top of the page). It has those 2 files.


Those 2 files doesn't work, I have tried many time, I find all 26 page in this topic and can't get them anywhere (╯•﹏•╰)

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5 Reply by Piovasia

(2,112 replies, posted in Using SVP)

Chainik wrote:

That one - https://github.com/AmusementClub/vs-mlrt - is MUUUUCH better
-------------
Post updates:
09/01: updated both libs and scripts, should improve 4K performance on 4080+
-------------
Let's try this:

0. nothing to do with Python big_smile
1. download --> https://www.svp-team.com/files/temp/rife-trt-0701.7z <--, unpack into SVP 4\rife (you should already have this folder), so vstrt.dll must be in the root, i.e. SVP 4\rife\vstrt.dll
2. replace generate.js, base.py in SVP 4\script; restart SVP to be sure
3. menu -> Applications settings -> Additional options -> All settings, go to 'User defined options'
Title: TensortRT; Script name: rife_trt; Other values by default - "FRC profile", "ON or OFF"
Click 'Add option'
Go to the RIFE video profile, see the added TensortRT on/off swtich.
Make a copy of the RIFE video profile, one with TensorRT ON and another with OFF.

Pros:
- no Pytorch!
- works in a real-time
- even faster (?) than vsrife [could be just because of some TensorRT options]
Cons:
- even slower (?) first-time initialization [could be just because of some TensorRT options]
- a nasty command-line window will pop-up for every new video resolution

It's OK for the command-line window to stay for 4-5 mins. Don't close it! Wait!

Could someone share me the generate.js and base.py file, please ?  (╯•﹏•╰)

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6 Reply by Piovasia

(2,112 replies, posted in Using SVP)

Chainik wrote:

That one - https://github.com/AmusementClub/vs-mlrt - is MUUUUCH better
-------------
Post updates:
09/01: updated both libs and scripts, should improve 4K performance on 4080+
-------------
Let's try this:

0. nothing to do with Python big_smile
1. download --> https://www.svp-team.com/files/temp/rife-trt-0901.7z <--, unpack into SVP 4\rife (you should already have this folder), so vstrt.dll must be in the root, i.e. SVP 4\rife\vstrt.dll
2. replace generate.js, base.py in SVP 4\script; restart SVP to be sure
3. menu -> Applications settings -> Additional options -> All settings, go to 'User defined options'
Title: TensortRT; Script name: rife_trt; Other values by default - "FRC profile", "ON or OFF"
Click 'Add option'
Go to the RIFE video profile, see the added TensortRT on/off swtich.
Make a copy of the RIFE video profile, one with TensorRT ON and another with OFF.

Pros:
- no Pytorch!
- works in a real-time
- even faster (?) than vsrife [could be just because of some TensorRT options]
Cons:
- even slower (?) first-time initialization [could be just because of some TensorRT options]
- a nasty command-line window will pop-up for every new video resolution

It's OK for the command-line window to stay for 4-5 mins. Don't close it! Wait!

How do I get the file to follow this installation ?
I used to follow this installation method and happy with it, but after update, i regret now.
I think it's much better than version update in SVP now
I can choose to load model from: https://github.com/styler00dollar/Vapou … cnn-Vulkan the assemble version pretty smooth and not only limited by version 4.4 and 4.6 now in SVP
Chainik, please help
Sorry for my bad english. (╯•﹏•╰)

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