Co-Creating Common Art with the CrAIyon AI
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This slideshow contains a variety of images created using the CrAIyon AI...based on seeding terms. This work asks questions about common art in an age of AI.
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Co-Creating Common Art with the CrAIyon AI
- 1. Co-Creating Common Art with the CrAIyon AI Shalin Hai-Jew August 2022
- 2. Preface • The alcohol ink drip playing series continues but with less of a sense of urgency. (For those who need a fix, here are some AI-created images emulating alcohol ink drip playing art. I did not include one that had a suggestive part to the image. Remember that the AI learns from people.) 2
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- 16. Preface (cont.) • During a recent 3-day academic conference, one of the keynoters mentioned CrAIyon (https://www.craiyon.com/), formerly DALL-E (after Salvador Dali). This AI is now CrAIyon as a mini DALL-E, which learns from a mass training set of images and uses text as an input to create visual art. The fine print says that the free images can only be used for teaching and learning, in terms of the non-commercial access. • When CrAIyon thinks of Dali…it thinks of visual gists. 16
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- 20. Preface (cont.) • Indeed, the idea is to use various textual prompts that are complex and fairly unique to trigger the AI to create cool visuals. This slideshow will show some of the images evoked although I am leery about naming the artists. (The AI picks some of the most notable features of the respective artists, and it almost looks like a send-up of their work sometimes. That is not my intention, of course.) • There are times when I ask for something “photorealistic” and am still shocked at how real-world the contents are. 20
- 21. Preface (cont.) • I have a delight when the AI depicts something that does not exist in the world but could if one were in a machine’s imagination. • A machine “imagination” does not exist, and nor does machine “sentience,” even though both have been part of sci-fi for decades. • The AI seems to be cobbling elements…and it seems to maybe work based off of an overarching simplification of shapes for coherence and then fills in the rest. • In terms of credit, the human mostly only things of the text as the seeding concept…and then maybe engages in light digital cropping…and in some cases more. In my case, I did not do much more. I just am charmed and intrigued. 21
- 22. A Machine and its own Rules A Jigsaw Puzzle Series 22
- 23. The Jigsaw Puzzle Series • I like how the jigsaw puzzle images might suggest a machine that squishes puzzle pieces, so they fit. • It looks like the machine may be changing the rules of the jigsaw puzzle game. • It looks like the machine is dreaming about twisting the cardboard to make a piece fit. • Or perhaps I am reading into the visuals. 23
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- 31. Three Modern Artists • I picked two well-known artists from the 20th century with well- known signature styles and a large body of work each. • Then I added a third who is still living and working in a different medium. 31
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- 56. And Motion? • What is motion in a world without physics? • What does an AI see second hand (based on human tagging…machine tagging)? 56
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- 75. Conclusion • These are all an idea expressed textually, an AI trained on human- created imagery, and outcomes in pixels. 75