I think people know by now how to tell if an image of a person is AI-generated. Count the fingers, count the knuckles, check the pupils, yadda yadda. I've seen several posts circulating about what to look for. However, I think people are a LOT less educated about backgrounds, and about the specific distinctions between human error and AI error. So that's what I'm going to cover.
Now, don't feel bad if you've reblogged or liked any of the images I'm about to show you guys. This is just what's crossed my blog, so it's what I have to work with. (Actually, thanks for providing the examples!)
I also generated a few images from crAIyon purely for demonstrational purposes, because I didn't have anything on-hand to show my thoughts.
Firstly — Keep in mind that AI has a difficult time replicating "simple" styles. Think colorless line-drawings, cartoony pieces with thick lines, and pixel art.
Why is this? Well, when a human makes art, we're more prone to under-detailing by mistake than over-detailing, because adding detail in the first place place is more effort. A skilled artist should be good able to capture an idea with minimal, evocative shape language.
But when an AI makes art, it is the opposite. An AI doesn't understand what it's looking at, not in the way that you or I do. All it can do is search for and replicate patterns in the noise of pixels. As a result, it is prone to mushing together features in ways that a human artist . . . wouldn't intentionally think to do.
It also over-details, replicating what it knows over and over again because it doesn't know when it's supposed to stop. Blank spaces can confuse it! It likes having detail to work with! Detail Is Data!
Again, this is why we count fingers.
These general principles still apply when we're looking at styles that an AI is better equipped to imitate. So . . .
Secondly — AI's tendency to over-render details makes it easier for it to pick up heavily detailed styles, especially if the style will still hold up when certain details are indistinct or merge together unexpectedly.
Scrutinize images that utilize a painterly, heavily-rendered, or photo-realistic style. Such as this one.
Thirdly — An AI piece that looks pretty good from a distance falls apart up close.
The above image looks almost like a photograph, but there is architecture here that you wouldn't find in a real room, and mistakes that you wouldn't find in the work of an artist that is THIS good at rendering. Or most beginner artists, even.
Can you see what falls apart here? Hint; we're counting fingers again.
Check the window panes. Isn't the angle that they all meet up at a little off? Why are the panes sized so inconsistently? Why doesn't the view outside of them all line up into a cohesive background?
Count the furniture legs. Why does the farther-back case have a third leg? Why does the leg on the closer case vanish so strangely behind the flowery details?
Examine the curtain(?) fabric at the top of the window. What on earth IS that frilly stuff?
Another mistake that AI will make is drawing lines and merging details that a human artist would never think of as connected. See the lines crawling up the walls? See how some of the flower petals glop together at hard angles in some places? Yeah, that's what I'm talking about.
You can see more strange architecture in the outdoor setting of this image.
A lot of the AI's mistakes are almost art nouveau! We recognize that buildings are consistently angular, for stability reasons. An AI does not. (Also look at the trees in the background, and how they tend to warp and distort around the outline of the treehouse. They kinda melt into each other at some points. It's wild.)
Fourthly — An AI will replicate any carelessness that was introduced into its original data set.
Obviously, this means that AIs will make fake watermarks, but everybody already knows that. What I need you guys to look out for is something else. It's called artifacting.
Artifacting is defined as "the introduction of a visible or audible anomaly during the processing or transmission of digital data." To put it in layman's terms, you know how an image gets crunchy and pixelated if you save it as a jpg? Yeah. That. An AI with lots of crusty, crunchy jpgs fed into it will produce crunchy images.
Look at the floor at the bottom of our original example image;
See the speckles all along the glass panels, table legs, and flowers in shadow? Artifacted to hell and back! This shit is crunchier than my spine after spending half a day hunched over my laptop.
Again, legitimate art and photography may have artifacting too just because of file formatting reasons. But most artists don't intentionally artifact their own images, and furthermore, the artifacting will not be baked into the very composition of the image itself. The speckles will instead gather most notably on flat colors at the border of different color patches and/or outlines.
Cronchy memes; funny. Cronchy AI art; shitty jpg art theft caught red-handed.
That's probably all the lessons I can impart in one post. Class dismissed! As homework a bonus, consider these two sister images to our original flower room. Can you spot any signs of AI generation?
@wolven-writer I hope this helps!
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