Arting

Flowers

Part of what excites me about generative AI LLMs and GANs is the back-and-forth between language and representation. I’ve lately been playing more with MidJourney and Deep Dream Generator and a local install of Stable Diffusion, and using them to extend my art-hobby tinkering with Adobe Photoshop and Corel Painter. I enjoy abstract and non-figurative art, and I find thinking through the links between language and representation and abstraction—how to represent abstraction in words—scratches a pleasurable itch. And I like making pretty stuff. The images below started from a composited photo I’d made from two visits to Patrick Dougherty’s stickworks installations in Northampton MA in the 2000s and in Washington DC in the 2010s.

twisted bundles of vines and sticks
1600×1200 version

I’d originally used the above image for texture, to apply its look of bundled and twisted vines and twigs to other visual elements. The fun surprises came from running it through some of the technologies above and asking the machine to describe the image in language, editing the language, and then asking the machine to visualize what was represented in language. Thinking of this cycle as taking place over time opens up possibilities for metaphor and irony: I’ll sometimes apply a description from later in the process to an earlier image, or apply an earlier description to an image rendered later—so there’s a purposeful mismatch between linguistic and visual representation.

artistic image of a floral bouquet, oriented left
3600 x 2700 3MB version

Rendering those mismatches as a series of individual layers, tracing them in Corel Painter’s various representations of natural media, and then compositing them in Photoshop got me to the above image. After producing that image, I took each of the individual layers, flipped them horizontally; re-ran them through Deep Dream Generator and Stable Diffusion, re-rendered them in Painter, and composited them again in Photoshop.

artistic image of a floral bouquet, oriented right
3600 x 2700 3MB version

Stuck Writing, Gone Arting

MacBook, iPad, Apple Pencil, Adobe Photoshop, Corel Painter, Deep Dream Generator; about 60 quicksaved versions, with multiple iterations each: Generative Neural Networks (GNNs) as prototypers or zero-draft engines help efficiently automate iterative discovery. “Annotated Redaction” seems like an appropriate title, though I suppose more cheeky ones are possible.

semi-abstract painting of a heavily annotated and redacted print book
Annotated Redaction 1 (5 MB large, 2 MB medium)
semi-abstract painting of a heavily annotated and redacted print book
Annotated Redaction 2 (5 MB large, 2 MB medium)
semi-abstract painting of a heavily annotated and redacted print book
Annotated Redaction 3 (5 MB large, 2 MB medium)

I’m kinda proud of these—if you’d like a lossless full-resolution (~20 MB) version of any, drop me a line.

Gallery Post

When I’ve felt stuck with writing, I’ve sometimes tried to make art. My tastes run more to the semi-abstract and non-figurative, so that’s what I often end up doing. I’m a longtime fan of the natural media app Painter, and my production cycle goes back and forth between Photoshop and Painter (I use a tablet and stylus), with frequently saved iterations then cycling through Deep Dream Generator and back again into Painter and Photoshop. It tends to be a process of discovery: I seldom know what it’s going to come out as when I start (the derivation from Rodin’s Burghers of Calais is an obvious exception), and simply follow the lines or patterns as I iterate, usually over several dozen versions. I’m sure my deuteranopia shows in my color selection, and I’m fine with that. The files linked below (click to embiggen) are a little less than half the size of the originals (about 40 inches wide at 150 dpi).

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