Flowframes Early Access Download: 1.38.1
Added 2022-07-21 08:42:17 +0000 UTCThis update primarily focuses on some things that were broken with the new VapourSynth implementation of RIFE (RIFE-NCNN-VS).
It now respects the GPU ID set in the settings (NCNN). However it currently can't do multi-GPU, so if you specified multiple IDs, it will only use the first one.
Trimming now also works with RIFE-NCNN-VS.
In addition, the VRAM/RAM usage should now be lower at very high (4K+) resolutions.
Full changelog on Discord and in Flowframes.
Comments
DM me the full error and I'll look into it
LTSM
2022-07-25 19:44:03 +0000 UTCWell, in 1.38.2 I got a different error after OS restart when I use VapourSynth - it throws KeyNotFoundException when I click on interpolate, and was fine before the OS restart
rocketraccooon
2022-07-25 19:41:59 +0000 UTCPytorch no longer gets installed by default because RIFE NCNN is much much smaller and (nowadays) faster. However the message shouldn't pop up every time, this has been fixed in 1.38.2. If you still want Pytorch you can enable it in the installer and it should work.
LTSM
2022-07-25 18:50:29 +0000 UTCI believe the early access installers are not as complete as releases - they seem to skip necessary framework installation. The result is, it works right after installation, and is guaranteed to fail after an OS restart.
rocketraccooon
2022-07-25 18:38:47 +0000 UTCEvery single time I update and/or launch the app I get the Python error thrown. I can't see where/how to fix this. Any suggestions?
Glen McBride
2022-07-24 23:34:46 +0000 UTCI had to downgrade to 1.38.0. The update couldn't recognize PNG files exported from a colab I'm using called IllusTrip3D that were then upscaled with RealESRGAN.
2022-07-23 05:52:55 +0000 UTCUnfortunately I could not fix the issue with a re-install. In fact my antivirus even flagged it as ransomware and deleted the exe which was annoying, since it's never happened before.
Jake
2022-07-22 08:53:58 +0000 UTCWill do, thanks!
Jake
2022-07-21 23:39:21 +0000 UTCUse RIFE NCNN, it should be faster and FPS limiting works (just not in the VS implemention)
LTSM
2022-07-21 23:09:30 +0000 UTCI use RIFE-CUDA because FPS limiting doesn't work with NCNN-VS atm. I always use H265 with NVENC. Perhaps when installing something went awry, I'll try to reinstall it later and see if the issue persists. The most evident part is that when It starts to interpolate, it starts at below 1 FPS and rises up to about 4-5, where it's usually 9-10 from the start.
Jake
2022-07-21 23:02:13 +0000 UTCWhat AI are you using? RIFE-NCNN-VS? I have not changed anything about the executable itself since 1.38.0. Maybe you switched to a slower codec and now you're CPU-bottlenecked?
LTSM
2022-07-21 22:45:53 +0000 UTCIt's definitely on the right GPU, after re-installing 1.38.0 the issue is fixed. It was simply not utilizing my GPU or CPU much at all, 12900k/3090. Might just be a bug, I used the same settings.
Jake
2022-07-21 22:19:43 +0000 UTCDo you have an integrated GPU? Maybe it's now running on the wrong GPU since it previously would use the default one?
LTSM
2022-07-21 21:59:39 +0000 UTCQuestion, after the update my interpolation speeds have drastically lowered with my GPU and CPU both spiking like this, not sure why. https://gyazo.com/ae92da73ae2b255e77325dc65c90d73f
Jake
2022-07-21 21:43:25 +0000 UTCShouldn't be too hard, I just haven't look into it much yet. Probably next month.
LTSM
2022-07-21 08:50:43 +0000 UTCThanks for the update. Do you know when FPS limiting will be fixed with RIFE-NCNN-VS?
Jake
2022-07-21 08:46:47 +0000 UTC