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The art of asking nicely

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Re: The art of asking nicely

#43
post #3

VQGAN+CLIP seem to have this dream-like quality where they generate images that are evocative of your prompts but don't actually picture them. I find it fascinating because in some cases it's not as obvious as "lump of white fluffy matter" = "sheep" but it still manages to evoke the prompt into our brains. I'll sometimes get an unrecognizable blob but quickly asking my SO "what is this?" she will get it... unless she…

It's definitely "injective but not bijective" or something like that.

Like I look at the prompt "sheep grazing on a hillside by tim burton". I look at the pic. Brain goes, "yup, that checks out". You wouldn't necessarily derive the domain from the range (preimage attack), but I can readily say, "if I fell asleep after watching Wallace and Gromit - Close Shave, and Nightmare Before Christmas, this is what I would dream".

Re: The art of asking nicely

#44
The infancy period of this technology is fascinating.

Think about computer graphics 15 years ago. Beowulf came out in 2007, and was developed in the preceding years- let's call it 15+ years old. And it was right there in the uncanny valley where it didn't look real, but it looks realistic. It was interesting visually, but my brain told me "this isn't correct".

And now some modern game engines are doing more realistic rendering than that in real-time.

Now look at these generative models. Some state of the art ones with humans helping are pretty convincing, but it's slow work. The more general ones like these are making these wonderfully interesting images that our brains immediately say "That's not correct".

But where will this technology be in another 15 years? I think the possibilities for entertainment are really interesting. Imagine a D&D game where the GM is vocally telling the AI what to generate, then making small tweaks, and the players are seeing the results.

Re: The art of asking nicely

#47
post #21
post #11

For those who only read the comments first, this article is about writing effective prompts for AI image generation

Why effective? This is more of an exploration.

Note that the author indeed asks:

"But the most effective prompt? In terms of producing a realistic but dramatically lit landscape with recognizable mountains and hills and (okay not sheep)?"

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