On May 11th 2020 PUFF was born
In the spring of 2020 (before chatGPT and text-to-image models existed) I trained a neural network on around 100 of my hand-drawn monster artworks.
The resulting GAN model could produce endless synthetic monster drawings in an echo of my style.
One of these stood out to me over the others: a pink monster with rabbit ears. I named her PUFF.
Over the next few years, PUFF became a vehicle for exploring the weird edges of AI and creativity — ideas around authorship, style, originality, data ownership, and what it means to ‘create’ something.
The evolution of PUFF:
With the help of the online community, PUFF evolved.
I built a new dataset using beautiful fan-made drawings of her, and trained a new version of the model. An AI trained not on my work, but on people's interpretations of a synthetic character.
This new model could produce infinite versions of PUFF.
PUFF data set images
Synthetic PUFF images
PUFF experiments
Beyond the flat image:
Using newer AI tools, I pushed PUFF into different dimensions — reimagining her across materials, scenes, styles, and more.
The project became a kind of sandbox for testing what’s possible and what is to come in this new AI future.
I started this project as a playful experiment into a new technology, but as AI has become more widespread and controversial, the project has become more charged. I don’t have all the answers, but PUFF has helped me think through and embody some of the issues.