d8ahazard

> > > > Yeah sorry but this doesn't work for a bunch of people, exactly why is uncertain but it's OOM on my 3080 10GB with 64GB of RAM....

> Perhaps you could integrate those changes… allow to run on 8gb apparently: https://www.reddit.com/r/StableDiffusion/comments/xzbc2h/guide_for_dreambooth_with_8gb_vram_under_windows/?utm_source=share&utm_medium=ios_app&utm_name=iossmf > […](#) > On Mon, Oct 10, 2022 at 4:30 AM devilismyfriend ***@***.***> wrote: Yeah sorry...

> OK... I see what you are talking about.. the issue is that the activation can't be done using the python script... and this is what is causing the issue....

> I see. On my side I am stuck trying to make it work manually... until I can do that even the UI won't work. I have done all the...

The good news: I can make it work on an 8GB GPU now, from the UI.  The bad news: It's abysmally slow, seemingly more so than when I run...

> The latest version fail as soon as I hit train with: > > ``` > return torch.cuda.is_available() > [Previous line repeated 983 more times] > RecursionError: maximum recursion depth...

> Hummm... to pass the --medvram I need to use python launch --medvram... and this is what gives the cuda error. > > I usually just run bash webui.sh to...

> OK, I sorted out my --,edvram issue. Now, when I try training I get: > > ``` > Starting Dreambooth training... > Launching training on CPU. > ***** Running...

> OK... launching it like that worked for one step then killed itself: > > ``` > Starting Dreambooth training... > Launching training on CPU. > ***** Running training *****...

> But even it this worked… at 54sec per steps this would be a no go… Hey, Rome wasn't built in a day, and something is better than nothing. Did...