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How a Stable Diffusion prompt changes its output for the style of 1500 artists

gorgeous.adityashankar.xyz

21–30 of 205 posts

Re: How a Stable Diffusion prompt changes its output for the style of 1500 artists

#23
post #4

Funny that the Bob Ross version just makes them look like Bob Ross. Maybe there are more pictures of Bob Ross in the training set than his actual paintings.

The same thing happens for Vincent van Gogh, and presumably others too.

Not a problem with the Banksy images!

Re: How a Stable Diffusion prompt changes its output for the style of 1500 artists

#24
post #3

Quoted post unavailable.

> What is this list?! No Picasso, Renoir or Vrubel present Comments like this are why people think HN is nothing but a place to receive a shallow dismissal of your efforts. It's a list. Make your own.

“Be the change you want to see in the world” has kept me from posting many unhelpful comments.

Re: How a Stable Diffusion prompt changes its output for the style of 1500 artists

#25
What frustrates me about Stable Diffusion is there doesn't seem to be any documentation as to what artists or vocabulary it understands. Generally people say "look at existing prompts or use various prompt generators" but that doesn't really solve the problem. I don't want to just look at what other people have randomly discovered; I want to know what the program really knows.

Re: How a Stable Diffusion prompt changes its output for the style of 1500 artists

#26

Truly impressive, though it gives me some great fear for all the people whose career is art. This will likely take the pareto to a new height instead of 20/80 maybe even 1/99

Their career isn't art anymore. Just in case anyone needed to see this spelled out. The people making fliers have been replaced by AI prompting overnight. The people doing contemporary fine art with their audience are unaffected.

> The people making fliers have been replaced by AI prompting overnight.

Hmm, no? Do go and try to make a flyer with any of the AI generators. I’m not saying it can’t happen one day, but the current tech is not there.

Re: How a Stable Diffusion prompt changes its output for the style of 1500 artists

#27
post #20

Earlier quoted context omitted.

A good measure for whether you're more of a celebrity or an artist is how much of your face a google-image trained AI thinks belongs in your work.

Well what if the artist has a popular self portrait?

Smoke comes out of the computer, and Captain Kirk notches another victory for humanity.

Re: How a Stable Diffusion prompt changes its output for the style of 1500 artists

#28

What frustrates me about Stable Diffusion is there doesn't seem to be any documentation as to what artists or vocabulary it understands. Generally people say "look at existing prompts or use various prompt generators" but that doesn't really solve the problem. I don't want to just look at what other people have randomly discovered; I want to know what the program really knows.

[deleted]

Re: How a Stable Diffusion prompt changes its output for the style of 1500 artists

#29
post #26

Earlier quoted context omitted.

Their career isn't art anymore. Just in case anyone needed to see this spelled out. The people making fliers have been replaced by AI prompting overnight. The people doing contemporary fine art with their audience are unaffected.

> The people making fliers have been replaced by AI prompting overnight. Hmm, no? Do go and try to make a flyer with any of the AI generators. I’m not saying it can’t happen one day, but the current tech is not there.

Flyers are an extremely low bar that AI sails over.

Re: How a Stable Diffusion prompt changes its output for the style of 1500 artists

#30

What frustrates me about Stable Diffusion is there doesn't seem to be any documentation as to what artists or vocabulary it understands. Generally people say "look at existing prompts or use various prompt generators" but that doesn't really solve the problem. I don't want to just look at what other people have randomly discovered; I want to know what the program really knows.

It's the nature of ML models--nobody is 100% sure what it understands until they try something and get results.

It was given a lot of tagged data: 600 million captioned images from LAION-5B. So if you want to know what it might support, you could try any one of the captions from those 600 million images.

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