New Tools for Text-to-Image Generation

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Title : New Tools for Text-to-Image Generation
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New Tools for Text-to-Image Generation

Generating an image from a line of text using digital tools has been possible for the last few years. Tools are mostly free, and the results keep getting more interesting.

The images can be hauntingly surrealistic, such as this one, which was generated by the phrase “when the wind blows.” 

Image courtesy The Big Sleep (source@advadnoun on Twitter)

It's a little blurry and out of focus, with tendrils of downy fluff waving in dim light. It seems more like a photograph than a painting, but really it's a new category of image, made by computer software drawing from big data sets. 

Lately people's imaginations have been captured by tools such as VQ-GAN and CLIP.



Prompt: “a face like an M.C. Escher drawing” from The Big Sleep (source: @advadnoun on Twitter)

Some of the results are compelling and intriguing, seemingly intelligent in a weird non-human way, as if you're looking into an alien's mind. Is that a face on its side, an eye, a nose, a mouth? Are those textures fingerprints? 

Prompt: “The Yellow Smoke That Rubs Its Muzzle On The Window-Panes” 
from VQ-GAN+CLIP (source: @RiversHaveWings on Twitter)

Each solution has a visual logic of theme and variation that's carried throughout the image. It's certainly not random. 

Prompt: “A Series Of Tubes” from VQ-GAN+CLIP (source@RiversHaveWings on Twitter)

Many of the images from this system have a surrealistic patchwork appearance resembling Cubism, where extracted fragments are juxtaposed across the picture plane, but the 3D space doesn't make sense as a real scene.


(source: @ak92501 on Twitter)

Some of the creativity of this enterprise derives from the odd juxtapositions of the words in the prompts. The results are often effective with long prompts. The phrase for the image above is “view from on top of a mountain where you can see a village below at night with the lights on landscape painting trending on artstation | vray”  

In recent weeks, people writing prompts realized you can get the system to yield a more detailed style if you say "trending on artstation."  

I expect that with time the results will be accepted alongside human efforts, beginning perhaps with categories like motel art, Twitter avatars, and corporate clip art. Soon enough they will take their place alongside Instagram painters and photographers. 

As a viewer, I'm not quite sure how to respond emotionally to an artistic looking product that didn't pass through a human consciousness.

As an artist, I'm not worried about my job. Maybe it's a vain hope, but I feel like people will always want to see images made by a human hand and filtered through a human brain.
--
Thanks, Chris!
Resources to learn more:
• Twitter account "Images.AI"  which plays with these natural language prompts and some of the same tools.
• Link to UC Berkeley blog post: Alien Dreams: An Emerging Art Scene


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