#Iteration80 is an exploration in generative art using a Generative Adversarial Network (GAN). 

At its core, a GAN is made of a Generator and a Discriminator. The Generator creates images out of random noise trying to fool the Discriminator into thinking that what it creates is real. Every iteration, each failed attempt, creates a unique piece of art, that helps us re-discover the world as we know it, through the eyes and mind of Artificial Intelligence.

Every artwork was created using VQGan+CLIP (model by sflckr) or Diffusion and then upscaled to super-resolution using the ESRGan architecture (models by twittman and nmkd).

Check out my work at https://hicetnunc.art/iteration80