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Abstract AI Faces

In this collection I wanted to see what kind of results Artificial Intelligence would produce after learning on various images of abstract faces that are different in art style, expressions and colors schemes. The First Generation was created using StyleGan2 ADA machine learning algorithm that trained on 1980 images for 9 days. The Second generation was created by training 4207 various images of abstract face, that were also mirror on the Y-axis for a total of 8414 images in the dataset, for 10 days. Future generations will be created using various techniques, algorithms, and hardware that become available, while increasing the number of images used for training.

Items
66
  · 
Created
Oct 2021
  · 
Creator earnings
2.5%
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Chain
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  • Seed: 270