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Comment by qayxc | Hacker News Reader

The results look very impressive. The prompting however, is a bit weird - there's suspiciously many samples with an "8k"-suffix, presumably to get more photorealistic results? I really don't like that kind of stuff, when prompting becomes more like reciting sacred incantations instead of actual descriptions of what you want.

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"8k HD" was a prompt engineering trick from the VQGAN + CLIP and Stable Diffusion 1.X era, since they did indeed have an impact in getting photorealism as CLIP's text encoder is funny like that. When Stable Diffusion 2.X was released with a new text encoder, it broke all these tricks and people were upset.

Here's a fun demo of the impact of prompt engineering tricks back in the VQGAN + CLIP days: https://imgur.com/a/SnSIQRu

Odd to see the same trick work on a completely new text encoder though.

Prompting has always been an esoteric technological spell full of "unreal engine 5" and "8k uhd cinematic"

Hyper realistic. Kodak candid shot. Kodachrome. Stomach ache. Grotesque. Smoked meats

Large fries, chocolate shake?

Coming from SD prompting, you quickly get used to tons of different terms to maximize the quality of your output, and not straightfoward to know which one is a signal and which is a noise. It all depends on the training data.

you dont have to do that stuff, you just start doing it because someone else got a better result than you

also it is very easy for software to concatenate strings for you behind the scenes before sending it to the model

> you dont have to do that stuff, you just start doing it because someone else got a better result than you

This is the point where humans possibly 'hallucinate' ;)

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