Making Visual Art with GANs: Week 1 – Testing RunwayML

After getting set up in RunwayML I trained my first image of a black and white scene of ducks. I trained it on the Picasso model.

input – picasso model

output – picasso model

I was really excited to train different models on this photograph of the Jersey Devil at Lucille’s in New Jersey, especially the MUNIT model. I thought a menacing figure comprised of flowers would be a fun experiment. First I trained with two different models (sketch model & picasso) before changing the “style” function number for tons of variation on the MUNIT model.

input – for all following output images trained on different models

output- photo sketch model

output – picasso model

output – picasso model

output – munit model for subsequent images

After working with the MUNIT model I wanted to train a color photograph, so I used this beach sunset image to train the subsequent images.

input – for following output images

OUTPUT – KANDINSKY style transfer

output – cubist style transfer

output – hokusai style transfer

output – wu guanzho style transfer

I really loved what the Hokusai style transfer looked like and wanted to train it on this photograph of a lake at Cedar Bridge Tavern in New Jersey. It looks like the darkest areas of the image turned into just blurred light so in the future I would adjust the brightness to try and avoid that effect with this model.

input – hokusai style transfer

output – hokusai style transfer