zlacker

I'm curious why all of these tools seem to be almost tailored toward making meme images?

The kind of early 2010's, over the top description of something that's ridiculous

>>syspec+(OP)
These things can make any image you can define in terms of a corpus of other images. That was true at lower resolution five years ago.

To the extent that they get used for making bored ape images or whatever meme du juor, it says much more about the kind of pictures people want to see.

I personally find the weird deep dreaming dogs with spikes coming out of their heads more mathematically interesting, but I can understand why that doesn’t sell as well.

>>syspec+(OP)
My hunch is that they aren't tailored toward ridiculous images exactly, but if they demonstrated "a woman sitting in a chair reading", it would be really hard to tell if the result was a small modification of an image in the training data. If they demonstrate "A snake made out of corn", I have less concern about the model having a very close training example.