And how much do they cost? And how do you like them?

14 points
*

All mine are with Bing, it’s free but you only get 15 full speed image generations a day. After that they take a few minutes per prompt.

I dislike that it has restrictions so I can’t make the fully unhinged pictures I would like 😂

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1 point

Yeah, that is what I use too, but the limitations kind of suck.

I need a Nic Cage Wolf man picture in my life, but Bing blocks celebrity prompts.

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12 points

I use stable diffusion with automatic1111’s webui ran locally with an AMD GPU. I use the card for gaming and encoding too, so the cost for just AI is basically free. The webui is excellent, and I learn about new things it can do every time I use it. Setting it up took some time, but nothing beyond what I am familiar with. I do loathe that so much data science/AI stuff is python based, because python’s dependency management is an unruly beast, but oh well.

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2 points
*

because python’s dependency management is an unruly beast

Note that Automatic1111 is, by default, set up to run in a venv – a sort of little isolated Python install – so it won’t smack into the system packages, at any rate.

I think that the current version of Automatic1111 – I’m running off the dev branch – also pulled down the appropriate ROCm pytorch that AMD wants into its little venv, but I’m pretty sure that I recall needing to manually install that some months back, on an older version of Automatic1111. Other than that, I don’t think that I had to do anything significant with Python packages; there’s just a script that one runs to launch the package, and it also automatically downloads anything it needs the first time.

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1 point

by default, set up to run in a venv

It does, but since I’m running inside a container, I disable that behavior, and run it as a user package. Some extensions also require additional libraries, but they don’t pull the correct ROCm dependencies and I have to modify part of the install scripts to manually define the correct versions.

The main webui code is excellent, even if sometimes the documention is out of step because of how fast everything moves. Its the extensions that are not always to the same level of quality that make fiddling with python dependencies a bit of extra work.

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1 point

You use it on Linux? I have used it in Windows (6700xt) and it is slow af (2 it/s or even in s/it range), apparently it should be a lot faster in Linux but haven’t tested it.

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3 points
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I run it in a container on a NixOS host yes, eventually I’ll learn how to do it in a flake but my nix skills aren’t quite there yet. EDIT: I use a 6900xt, and some quick runs I did give me roughly 10 it/s. Which feels reasonably fast, only a couple seconds per image.

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3 points

I recognize that those are words and numbers…

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6 points

Stable diffusion. 1.5 on my own PC (with an old GTX 970), as it gets too old to run SD XL, I use getimg.ai which is uses XL and a selection XL based models. The reason why I use this one is what I can buy credits without a subscription. I am fine paying 10€ every so and on but less keen to pay 10 a month, just for a fun toy)

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2 points

Where can I find some well-explained step by step instructions for running an AI directly on my Mac?

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3 points

I use that package https://easydiffusion.github.io/

If you’re geek enough to be here you should find how to use it, might require a couple of evening tweaking

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6 points

I’m using Bing Image Creator mostly. It’s powered by DALL-E 3.

I’ve used https://www.craiyon.com/ for one because I purposely wanted it to be crappy.

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5 points

I just use bing cuz im a dweeb and its free and easy

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2 points

You say dweeb like it’s a bad thing

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1 point

🤭

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