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this post was submitted on 22 Oct 2023
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ITT people who don't understand that generative ML models for imagery take up TB of active memory and TFLOPs of compute to process.
That's wrong. You can do it on your home PC with stable diffusion.
And a lot of those require models that are multiple Gigabytes in size that then need to be loaded into memory and are processed on a high end video card that would generate enough heat to ruin your phones battery if they could somehow shrink it to fit inside a phone. This just isn't feasible on phones yet. Is it technically possible today? Yes, absolutely. Are the tradeoffs worth it? Not for the average person.
“He’s off by multiple orders of magnitude, and he doesn’t even mention the resource that GenAI models require in large amounts (GPU), but he’s not wrong”
You can for example run some upscaling models on your phone just fine (I mentioned the SuperImage app in the photography tips megathread). Yes the most powerful and memory-hungry models will need more RAM than what your phone can offer but it's a bit misleading if Google doesn't say that those are being run on the cloud.