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Comment by mfi | Hacker News Reader

Thanks! Depending on how many artworks you've created, it might be difficult to train a GAN network on them (due to overfitting). What you might try is to train one network with a lot of random artworks, then use a Style-transfer network to convert the generated pieces into your style.

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couldn't you use something like style transfer to take your own artwork's style and apply it to the generated art?

Yeah exactly, that's what I meant!

do you have the code for training ? i wasnt able to find it in your repo. That would be so cool!

I left it out as I wanted people to use their own generative art. Here's the implementation I used: https://github.com/taki0112/StyleGAN-Tensorflow

Do you actually want to disseminate your work and have many other people try it? Or is that not actually a goal.

Right now it really feels like this isn't a priority. Which is fine.

But if it is a priority that other people replicate your work, I'm not sure you're making this as easy for people as possible.

My intension is not for people to replicate my work (the trained GAN-network), but rather supply a tutorial over how to build the installation. Then people can add their own generative art/code. It could be ML-generated, or traditional "code-art".

Hey thanks! so just put your pictures and run the python script ? and we can take the model and drop-in replace in yoru code ?

Sorry for the late reply. Yeah, I used that repo to train the NN. Then I modified and reduced the code to only include the generative part, and that is what I added to the Kiosk-code.

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