WARNING: If you're scared of creepy things or clowns, run for your life!
Creepy Robot Clowns is a collection of 20 unique 1 of 1 NFT art pieces generated by artificial intelligence and machine learning.
After a lot of experimentation and trial and error, a large batch of images were created by detailed text prompts using Disco Diffusion v4.1 on Google Colab.
When I discovered the artificial intelligence art generator, I was pretty blown away! I was immediately addicted to see what the outcomes would be.
The technology is best understood by computer scientists and programmers, but it uses PyTorch which is a framework built on top of the Python programming language.
The best way I can describe it is that it uses diffusion modeling which generates noise. From there, CLIP behaves like a teacher evaluating the output referencing a large library of images aka machine learning. Please tell me if I’m wrong. 🙂
All of the generated images in the series were then handpicked, given minor edits, like cropping and color balancing, for visual consistency.
Even though each image was generated with artificial intelligence, they each seemed to take on their own unique organic personalities.
The images were then minted on Artano which was an NFT marketplace built on the Cardano blockchain.
If you’re not sure what NFTs are, check out my article: What In The Heck Is NFT or Crypto Art?
What are your thoughts on artificial intelligence art?
Thanks for reading!
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About The Author
With over 20 years in digital media and marketing, Daniel Travers leads Redideo Studio, a San Diego creative agency. His expertise covers digital marketing, website design, video production, and creative services.
Blending his formal art and design training with new technologies, he continually explores innovative ways to boost client campaigns.
Daniel has worked with major brands like iHeartMedia, Disney, Lexus, and more.
He holds a BFA in Photo New Media from the Kansas City Art Institute and an AAS in Graphic Communications from St. Louis Community College.
Find Daniel on: LinkedIn | MuckRack | ArtStation | DeviantArt | Reddit | PWP
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