iPERDance / iPERCore

Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
https://iperdance.github.io/work/impersonator-plus-plus.html
Apache License 2.0
2.42k stars 311 forks source link

Unable to run iPERCore on precompiled and regular #130

Open ThePixelisaThor opened 3 years ago

ThePixelisaThor commented 3 years ago

Hey guys, I've been having lots of trouble running iPRECore on my pc (17-10875H, RTX 2070 maxq, 32 GB ram) I have watched at least 4 different installation guides, at some point it worked for an evening, and then nothing. Here are the logs when running with anaconda the default trump example : logs.txt and here's the logs when running off of the precompiled version : logs2.txt btw the online google collab thing works great but is really slow, that's why I'm stubborn about running it outside a browser

Big thanks in advance !

justinjohn0306 commented 3 years ago

Try increasing the paging file see if that works

On Fri, Sep 17, 2021, 10:41 PM ThePixelisaThor @.***> wrote:

Hey guys, I've been having lots of trouble running iPRECore on my pc (17-10875H, RTX 2070 maxq, 32 GB ram) I have watched at least 4 different installation guides, at some point it worked for an evening, and then nothing. Here are the logs when running with anaconda the default trump example : logs.txt https://github.com/iPERDance/iPERCore/files/7187296/logs.txt and here's the logs when running off of the precompiled version : logs2.txt https://github.com/iPERDance/iPERCore/files/7187301/logs2.txt btw the online google collab thing works great but is really slow, that's why I'm stubborn about running it outside a browser

Big thanks in advance !

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ThePixelisaThor commented 3 years ago

I already increased it because I was getting paging errors

StevenLiuWen commented 3 years ago

Try to compile it from the source instead of using the precompiled windows version. Since the precompiled windows version is complied in a Titan-XP device with Cuda compute architecture 50, which is incompatible with other Nvidia-GPU and Cuda versions.