Machine learning expert Yannick Kilcher has created an app that generates images in the style of the Bored Ape Yacht Club (BAYC) NFT collection.
The system is based on generative adversarial neural networks (GANs). Kilcher examined a BAYC collection of 10,000 images and trained the NVIDIA StyleGAN2 algorithm on the collected dataset.
The finished system produces “bored monkeys” that are completely unique and interchangeable, the developer said.
However, Kilcher acknowledged that images don’t always come out perfect.
“The quality of my system is not very good, artifacts are often visible,” he said.
The developer added that his colleagues Cyril Zakka and Nathan Cooper Jones created similar tools with better results.
You’ve probably heard of exclusive #NFTs like the Bored Ape Yacht Club that sell for thousands of dollars… I had a bit of free time this week so I trained a small AI model to generate entirely new ones with a bit of help from @PDillis and @karlhabashy. pic.twitter.com/eD2L8rVPwu
— Cyril Zakka (@cyrilzakka) November 25, 2021
Recall that in April, an unknown person hacked the Instagram account of the Bored Ape Yacht Club project.
Earlier, OpenAI introduced the second version of the DALL-E text description image generator.
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