i must have been hitting the preview button, has it moved since 1.2.2 or am i just tired?
Nope, itâs the same. You are tired man 
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one of those mondays
Thanks! What are the rest of your configurations as far as CPU, RAM?
there is probably too big of a bottleneck. Even with an ultra-fast video card + cpu, for a 1 hour video, it can take up to 24 hours+ to upscale
(thatâs how long it takes on my i7-9750 with a rtx 2060).
what about some real AI tensor-core usage with Nvidia Encoder: NVENC
Seems to me the quality and res of the original file is what makes the time vary that is why clipping the black edges speeds it up less blocks to analyze but making the new video a very high res seems to slow it down almost 2x sometimes maybe because of vram restrictions? idk
Example- all from the same 720p file w/2080ti:
1080p 0.60fps
200%/1440p 0.60fps
4K 1.16fps
8k 1.26fps
Example- all from the same 480p file w/2080ti:
200%/~720p 0.13
1080p 0.23
4k 0.26
8k 0.41
200% & clip black edges = quick
I did a quick test with the trial today, sending a thumbnail sized Sony K800i (176x144 ) and iPhone HD video through VE. Things I noticed:
-
Custom scale/width/height are limited to x6/600% magnification factor, whereas the presets allow up to 4000%. This seems arbitrary, except that there is some serious bottlenecking happening the larger the magnification factor above 600%. At its worst CUDA utilization drops down to 12% (with some slight increase in CPU load).
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The âInitializing A.I. Engineâ part is single-threaded and thus bottlenecked by the CPU regardless of the number of CPU cores available.
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Average GPU load is less than 65% to 75%, depending on the image/settings, with only short peaks up to 99%. GPU utilization is very spiky, just as with GP. GPU clock seems to affect performance more than GPU memory clock or CPU clock (albeit there is one main CPU thread that may bottleneck).
Based on that observation I assume that VE performance behaves the same as GP performance. When I switched from a RTX 2060 to a RTX 2070 Super at same GPU clock-rates there was no performance gain with GP. So the bottlenecks are elsewhere (parallelization?).
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There is no âVideo Encodeâ load happening (NVidia GPU).
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Video orientation information is ignored and stripped away in the destination video by VE.
Artemis-LQ blurs away detail that is even discernible in the original thumbnail video. The HQ algorithms seem to have a tendency to introduce moire/color artifacts around the same areas.
Here is some basketwork from the thumbnail video.
Gaia HQ:
Artemis HQ:
Artemis LQ:
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Good observations. Looks like the programs has lot of potential but also needs lot of optimization. Thanks.
Based on the version release history, and what one of the developers said (forget whom it was), we should be in store for a new version every month or so.
And the next update could either include a new AI model or AMD gfx card support (I prefer the new AI model since I already have an nv card).
Also real AI tensor core usage would be amazing
how do you implement these command-line functions?
- VE does not seem to create/utilize enough CPU threads to make full use of my 8C/16T 9900K CPU. Average CPU load is just shy of 45%.
At least for my thumbnail video the visual results of Gaia HQ seem to be the same for CPU vs. GPU processing. I would have to check more videos, though, because I know that GP differs in this regard.
-I have a I-7 7700 with a iGpu. if i click on use GPU, it use my nvidia card (GT640) if i click on Cpu it doesnât use the Cpu, but the iGpu (Intel HD 630 Graphics)
Hey guys - my apologies if I am in thew wrong area. First post regarding Video Enhance on macOS
I have a beast of a Mac Pro (2019 Mac Pro, 385gb ram, AMD Radeon Pro Vega II Duo 32 GB as well an afterburner card⊠and I keep hoping Video Enhance AI software will work.
Any idea when support for the Mac Pro workstations will exist?
I know the afterburner card wonât do anything specifically for this out of box, but Iâm also told developers can program to utilize it via pro res options⊠no idea how etc mind you.
Hardware-accelerated GPU scheduling!!!
âThis new feature can potentially improve performance and reduce latency by allowing the video card to directly manage its own memory.â
Hey guys running nvidia 10 and 20 series cards the DirectX 12 Ultimate and the Windows 10 Version 2004 updates sped up my encode speed quite a bit the windows update is going out in waves thru normal windows update but you can force it by going here https://www.microsoft.com/en-us/software-download/windows10 and using the update tool and get the latest nvidia drivers then you need to enable âHardware-accelerated GPU schedulingâ which is in âGraphics settingsâ at the bottom of windows display settings.
1080p 0.60fps went down to .53
4K 1.16fps down to .88
Hey, can you post a screenshot of the windows screen ? i have the last update of Windows (2004) + latest drivers and i donât see the option youâre talking about unfortunatly ! Thanks (maybe itâs related to my card 
) .
The word on the street is that Windows version 2004 is riddled with bugs. That is why I was staying away. Have you noticed any problems so far?
Vielleicht meint er das. In Windows Einstellungen/Anzeige/Grafikeinstellungen
Can you make some improvement the following ai models in the next version:
-Artemis HQ
-Artemis LQ
The GAIA models works good. Very spectacular. But some videos the Artemis model did nothing.
this option doesnât appears here, certainly because itâs only for Direct X 12 card, and mine is a GT 640 (direct X 11)
