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Stable Diffusion with Core ML on Apple Silicon

machinelearning.apple.com

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Re: Stable Diffusion with Core ML on Apple Silicon

#151

I think it's sad that Apple doesn't even give attribution to any of the authors. If you copy the Bibtex from this site, the Author field is just empty. Their names are also not mentioned anywhere on this site. This site is purely a marketing effort.

This is about an update to macOS and iOS. Are the 'authors' of macOS updates normally credited? Authors are credited on other papers published on this site that aren't just about OS updates.

Re: Stable Diffusion with Core ML on Apple Silicon

#152
post #141

Earlier quoted context omitted.

Not really. You're not responsible for how users use products you distribute. The license is passed along to them, they would be the ones violating it.

Are you an attorney?

No, I'm not. If you have supporting precedent for your position (that a licensor can be held liable for the unpreventable actions of a licensee) I would like to see it.

Re: Stable Diffusion with Core ML on Apple Silicon

#153
While running locally on an M1 Pro is nice, recently I've switched over to a Runpod[0] instance running Stable Diffusion instead. The main reasons being high workloads placed on the laptop degrade the battery faster and it takes ~40s to render a single image. On an A5000 it takes mere seconds to do 40 steps. The cost is around $0.2/hr.

[0] https://runpod.io

Re: Stable Diffusion with Core ML on Apple Silicon

#154

While running locally on an M1 Pro is nice, recently I've switched over to a Runpod[0] instance running Stable Diffusion instead. The main reasons being high workloads placed on the laptop degrade the battery faster and it takes ~40s to render a single image. On an A5000 it takes mere seconds to do 40 steps. The cost is around $0.2/hr. [0] https://runpod.io

can't the battery problem be mitigated if you plug in your Macbook while running Stable Diffusion?

Re: Stable Diffusion with Core ML on Apple Silicon

#155

Earlier quoted context omitted.

Where did you get those instructions from? Is creating a virtual environment necessary if I'm fine with it running on my real system? I assume the environment part is what the "conda" commands on the GitHub repo readme are doing, but finding "conda" to install seems to be its own process. It's not on MacPorts, pip seems to only install a Python package instead of an executable, and getting a package from some other s…

> finding conda to install seems to be its own process brew install miniconda brew comes from: /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" Don't take my word for it, visit https://brew.sh .

I’m still stubbornly using MacPorts. If it ain’t broke…

But given that the entire world of technical documentation assumes all technically-inclined people using Macs are using Homebrew, I’ll probably have to give up and switch over at some point. But not yet.

Re: Stable Diffusion with Core ML on Apple Silicon

#156

Earlier quoted context omitted.

> future artists having their jobs taken by AIs that's simply not going to happen. as in every technological development so far, this is just another tool. 1) artists create the styles out of thin air 2) artists create the images out of thin air 3) computers are just collectors of this data and do not actually originate anything new. they are just very clever copycats. you're looking at an artist tool more than anyth…

4) If computers get good enough at 1) or 2), then there'd be much bigger problems, and essentially all humans will become the starving artists. Also, I'm not so sure that language models like SD, Imagen, GPT-3, PaLM are purely copycats. And I'm not so sure that most human artists are not mostly copycats either. My suspicion is that there's much more overlap between how these models work and what artists do (and how h…

If we manage to create life capable of doing 1) and 2) but also capable of self-improvement and self-design of their intelligence I think what we've just done is created the next step in the universe understanding itself, which is a good thing. Bacteria didn't panic when multi-cellular life evolved. Bacteria is still around, it's just a thriving part of a more complex system.

At some point biological humans will either merge with their technology or stop being the forefront of intelligence in our little corner of the universe. Either of those is perfectly acceptable as far as I am concerned and hopefully one or both of them come to pass. The only way they don't IMO is if we manage to exterminate ourselves first.

Re: Stable Diffusion with Core ML on Apple Silicon

#157

Earlier quoted context omitted.

> future artists having their jobs taken by AIs that's simply not going to happen. as in every technological development so far, this is just another tool. 1) artists create the styles out of thin air 2) artists create the images out of thin air 3) computers are just collectors of this data and do not actually originate anything new. they are just very clever copycats. you're looking at an artist tool more than anyth…

Artist most definitely don't create images/styles out of thin air. No human can creatively create anything out of thin air.

I think humans do in fact create things out of 'thin air' - but only in very, very small pieces. What we consider to be an absolute genius is typically a person who has made one small original thought and applied it to what already exists to make something different.

Re: Stable Diffusion with Core ML on Apple Silicon

#158
post #56

Earlier quoted context omitted.

On the one hand, I appreciate the attempt to bring this stuff into the realm of "double click to run" boneheads like me, but on the other hand, I really despise Electron apps when they're multi-platform, where such use is somewhat understandable if still despicable. For a Mac-only app to use Electron… Why do they hate us so?

I'm baffled by continued hate on Electron. The option isn't between Electron and a lean OS-native application, but between Electron and nothing. I can build an Electron app in under a day with a pretty UI. It would take me several months to get anything sensible that is OS native. And I'm not going to sit down and learn the alternative. So please just say "thank you" to the developers that are sharing free things wit…

I would argue that shipping bad software is worse than shipping no software at all, yes. And it's impossible not to create bad software when you start with "it runs in a web browser, but it's not a web page." I say this as a web developer with over fifteen years of professional experience.

Worst of all is the shamelessness, though. Don't Electron developers feel ashamed when they ship their products? Or have their brains been so muddled by this "JavaScript everywhere" mentality that they don't realize it's bad? Will future generations even know what a native application is anymore?

This program suggests quitting other applications while it runs. Maybe that wouldn't be so necessary if it wasn't using a framework which needs like 2GB of memory before it can draw a window.

I note that my OP hasn't been downvoted into oblivion as most of my critical HN posts are. I think there's at least a significant silent minority who agree with me on this one.

Re: Stable Diffusion with Core ML on Apple Silicon

#159

While running locally on an M1 Pro is nice, recently I've switched over to a Runpod[0] instance running Stable Diffusion instead. The main reasons being high workloads placed on the laptop degrade the battery faster and it takes ~40s to render a single image. On an A5000 it takes mere seconds to do 40 steps. The cost is around $0.2/hr. [0] https://runpod.io

can't the battery problem be mitigated if you plug in your Macbook while running Stable Diffusion?

The laptop body still heats up and over long periods of time this can degrade the battery, I’ve measured a sharp drop in capacity from the device itself.

Re: Stable Diffusion with Core ML on Apple Silicon

#160

Earlier quoted context omitted.

Artist most definitely don't create images/styles out of thin air. No human can creatively create anything out of thin air.

I think humans do in fact create things out of 'thin air' - but only in very, very small pieces. What we consider to be an absolute genius is typically a person who has made one small original thought and applied it to what already exists to make something different.

Creating something novel is not even remotely the same as creating something out of thin air. Even the genius with an original thought only could come by that thought by being informed through their life experiences. Not unlike an AI training set allowing an AI to create something novel.
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