Owing to the lack of decent instructions for DAE I’ve been setting up some useful help pages. The web site is still a bit of a work in progress - easily fixed…
I’ve just finished installation instructions for CUDA + cuDNN for Win7+10
I installed the GPU version on my Win 10 machine, but don’t see how to start it. I only see the regular DAE CPU version. Did I have to uninstall the regular version first?
Thanks.
I have been following what you said to do on your website. After installing Cuda, I clicked to install the first patch. I adds files to a tmp folder and then I briefly see a flash of the NVIDIA Installer window and it goes away. I thought wow a quick install. But when I go to install patch 2 I get the image attached.
Do I need to worry about that? Just keep installing the patches?
Thanks! It works.
The GPU version seems faster when rendering, but definitely hangs with other portion that were a lot faster previously. Like when “Art is created” message is up there.
This is using an RTX 2080.
I can’t private message on here yet. Do you have a Discord where you and other people chat about this stuff at all?
You can PM here, just click on my Avatar. You can also leave comments on my website, if you want a Discord that’s https://discord.gg/DVjXwSf8h7 (there’s only me on it ATM as I have nothing big to discuss…)
RTX 2080 - plenty of cores so processing should be nippy.
I imagine you’ve got 8Gb in the thing (possibly more 6+ is usual with 8 the norm)
Here’s a gotcha. The GPU is very good at doing all the Math but you’ve gotta transfer the image to the GPU to start with (which takes time). Once it’s there the only memory the GPU can see is it’s own, essentially it’s a separate computer with 8G of memory.
AI takes a LOT of memory, if you look at server offerings (e.g. AWS etc) you can get stupid amounts of dedicated GPU RAM (128Gb, not a problem Sir - please empty your bank account into ours…)
When processing AI it creates a large number of variations of the images of various sizes then does some fancy tricks which results in your end image. The memory used here can get seriously demanding very quickly.
At some point the GPU will run out of memory (DAE responds to this by crashing and not telling you anyting’s wrong). Eventually you’ll work out its broken and kill it off / reboot.
Your PC has way more memory than your GPU - installing both the GPU + CPU versions is something worth doing. For big images that the GPU barfs at just run them thru the CPU version - it’ll take longer but it’ll get there in the end.
For setting up for the GPU version of DAE can I use the latest version of the Cuda Toolkit? This is now version 11, which is supposed to be backwardly compatable. Thanks - Mike