Stunning AI-Generated Art

Date

source

share

AI generated art is making headlines. In this article, we look at examples of AI art created by the program Stable Diffusion and we discuss what makes them different from human-generated art. Can AI art be true art at all?

AI generating art

There are multiple systems currently on the market that are able to generate art, and you have probably heard some of the names: generative adversarial networks (GANs), Dall-E, or Stable Diffusion. The details of how they work can be hard to understand for the non-AI-engineer; but the basic idea is that these programs are trained on millions of images, so that they learn to associate a particular string of words (“hamster on a beach”) with a particular image content: in this case, a collection of images of hamsters and beaches. When the user enters a prompt to generate an image, the program will then compose an image that contains the partial images that the program has associated with the different parts of the prompt. So, for example, “a camel on a boat, in the style of Dali” will produce an image containing a camel, a boat, and stylistic elements that can be found across the works of Dali. Here’s what this looks like using Dreamstudio.ai, a service using Stable Diffusion to generate the images:

“A camel on a boat in the style of Dali”

One thing that soon becomes apparent is that these systems don’t analyse or understand the grammar of the prompts. They just see that they have some image elements for the words “camel,” “boat” and “Dali” and put these together into a new picture. Whether the camel is “on” or “under” the boat is (mostly?) left to chance. So, for example, the same prompt generates this image, which fits the intent of the query much less:

“A camel on a boat in the style of Dali”

15 examples of AI art created by the program Stable Diffusion. What makes them different from human-generated art? Can AI art be true art at all? 

Beauty

The best-looking images are those where the mind of the observer has no reliable way to critically judge the success of the image generation process. Abstract images and painting styles that obscure the details work best and can create truly stunning output:

“A flower in Picasso style”

Giving the same prompt again does not repeat the image. Instead, a new, unique picture is generated:

“A flower in Picasso style”

A T-Rex in Dali style (my childrens’ idea) also looks great and undoubtedly has the typical “Dali” look to it:

“A t-rex in Dali style”

This Hong Kong skyline in watercolour is striking:

“Hong Kong skyline in watercolor”

And here is another one, specifically asking for a “moody blue” version:

“Hong Kong skyline in moody blue watercolor”

I don’t know about you, but I’d be happy to have this somewhere …

Originally appeared on Daily Philosophy Read More

More
articles

More
news

Book to consider: Memorabilia

by Xenophon An essential text for understanding Socrates, Xenophon’s Memorabilia is the compelling tribute of an affectionate student to his teacher, providing...

What Holds Russia Together?

Endre Sashalimi. Russian Notions of Power and State in a European Perspectives, 1462-1725: Assessing the Significance of Peter’s Regin. Boston:...