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Comment on AI Generated QR Codes with Stable Diffusion and ControlNet

I’m torn. The images look cool and it’s amazing they can do that, but I sure hope it didn’t become trendy to make QR codes that are hard to recognize and can only be read in ideal conditions.

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shasta@lemm.ee ⁨1⁩ ⁨year⁩ ago
I have a QR code framed and hanging on the wall in my foyer for guest wifi access. I am definitely going to artsy it up like this so it looks nicer on my wall. People who want wifi will ask and I’ll just tell them to scan that picture. They’re usually impressed by that now; I’m excited to see how they react when they don’t even recognize that it’s a QR code.

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- Petter1@lemm.ee ⁨1⁩ ⁨year⁩ ago
  Now I have to do this as well 😂 what a great idea
  
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Imgonnatrythis@sh.itjust.works ⁨1⁩ ⁨year⁩ ago
Will be a lot less ugly when we are all wearing Google glass type lenses that can just detect these on the fly.

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mojo@lemm.ee ⁨1⁩ ⁨year⁩ ago
Probably not, as the person who wants them to be scanned probably wants them to be easy to be recognized so it gets scanned. The incentive is still to make it clearly recognizable.

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- theoretiker@feddit.de ⁨1⁩ ⁨year⁩ ago
  it can be recognizable as a qr code, but still fail to scan for an app. Moreover, because you are using much of the redundancy of the qr code, you have to limit the amount of information in it. That’s why the working ones that you find on the internet only have shortened URLs they point to. It doesn’t work for more complicated information.
  
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