Helping an AI Make Art with ArtBreeder - It's Really Good!

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United States Steve's Makerspace
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Published on ● Video Link: https://www.youtube.com/watch?v=9VgmWUEoN_g


Duration: 15:48
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In this video, I look at ArtBreeder, a free-to-use program on the web where you can give direction to an AI and it will create unique art. Start with an image or two, combine them, give them different attributes, and watch the AI go to town. It's pretty amazing (and often weird). It uses generative adversarial networks (machine learning) and was created by Joel Simon with other collaborators.

https://www.artbreeder.com

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From the Site:
"Artbreeder aims to be a new type of creative tool that empowers users creativity by making it easier to collaborate and explore. Originally Ganbreeder, it started as an experiment in using breeding and collaboration as methods of exploring high complexity spaces. Artbreeder is named after the research of Picbreeder which investigated the role of exploration in the optimization process. It is also inspired by an earlier project of mine Facebook Graffiti which demonstrated the creative capacity of crowds. Generative Adversarial Networks are the main technology enabling Artbreeder. Artbreeder uses BigGAN and StyleGAN models. "

Music:
Funk Down (Sting) by MK2 (theme)
Jazz in Paris by Media Right Productions
Rainy Sundays by The 126ers
Crater Laker by The Mini Vandals
Lightning Bugs by Geographer
Unrequited by Asher Fulero
Travel Light by Audionautix
Mirage by Chris Haugen

Travel Light by Audionautix is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/)
Artist: http://audionautix.com/



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Tags:
creative networks
joel simon
generative art
ai art
deep creativity
generative adversarial networks
machine learning
neural networks
nvidia canvas
ai painter
artbreeder
ganbreeder
synthetic media
systems art
algorithmic art
picbreeder
biggan
stylegan
ian strandberg