AI art generated by VQGAN + CLIP

coldplay chris martin concert comic unreal engine

love peace joy kindness artstationHQ

Greta Thunberg climate change campaigner

leta ai in berlin

life architect

mott macdonald artstationHQ

algorithm, google, cloud, deep learning, machine learning
In this blue image above, the keywords were suggested by Leta (GPT-3), so it is effectively AI generating AI images!

Technical details

GANs (Generative Adversarial Networks) are systems where two neural networks are pitted against one another: a generator which synthesizes images or data, and a discriminator which scores how plausible the results are. The system feeds back on itself to incrementally improve its score.

CLIP (Contrastive Language-Image Pre-training) is a companion third neural network which finds images based on natural language descriptions, which are what’s initially fed into the VQGAN.

VQGAN: Vector Quantized Generative Adversarial Network
Released by Katherine Crowson @RiversHaveWings and Ryan Murdoch @advadnoun in Apr/2021.

CLIP: Contrastive Language-Image Pre-training
Released by OpenAI in Jan/2021.

Seed: 42
Image size: 600×600

Please do not over-use this platform, as it is a small instance with a queue already!