afaik people are using mps with better results. it requires pytorch nightly versions atm. think i saw someone say they generated a 512x image in 30 sec, but it was probably the top end m1.
10 minutes was still wild tho since it was literally just cpu. idk enough about the low level hardware stuff but my understanding is software optimizations alone in pytorch, tf, etc are having major benefits for apple silicon

oh interesting i didn’t even know stablediffusion / pytorch supported mps

i have the M1 Max 24 core 32GB might be worth an install

yeah that makes sense yeah i don’t know much about low level hardware stuff either

oh yeah, definitely look into it then.
I think Apple has been pushing for better support from tensor flow and PyTorch etc for a while idk
But the latest nightly versions of pytorch support mps. I think there’s an issue in the compvis sd gh repo with pretty simple instructions now

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it goes without saying that dalle2 will generally give better results with less effort, but you can’t really compare prompts between models besides simple ones like an astronaut riding a horse

when I first tried de after months of midjourney I was comparing prompt for prompt and was really underwhelmed

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does 1 credit = 1 picture?

f***, shouldve specified with one hand eating cheesburger, with other holding the handlbars. he looks like a gorgon

yep. Sorry if that wasn’t clear

drop $4 bro 👀

considering it

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yeah I now see Apple added pytorch support for mps in June nice had no idea I could do fast pytorch ML workloads

found the issue and steps, ty

yeah i will install it soon, i have my gaming pc running a local web server at the moment so i haven’t thought much about it but it would be nice to have a way to run it away from home

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