![]() ![]() Special thanks to Jonathan Fly for many tips and encouragements. ![]() If anyone is interested in picking up where this work left off, or would like access to the model, please reach out or come drop by the Webamp Discord server. Bagi temen-temen penggemar winamp sebagi pemutar musik di PC/laptop, saya akan share skin untuk winamp agar tampilan winamp temen-temen lebih keren, sehingga temen-temen tidak bosan atau jenuh saat memutar musik di komputer temen-temen. Periodic screenshots of a single seed over the course of training the model:įor a narrative of my experience generating these, check out this Twitter thread. While I didn't feel like the results were interesting enough to merit that next step, they were still pretty interesting, so I thought I'd share them here. ![]() My original thought was that if the model was able to generate interesting enough looking Winamp skin screenshots, I would start over and try to train a model which would generate the actual Winamp skin sprite sheets, that way it could generate novel, usable Winamp skins. These are surplus EC2 instances where you get a cheaper price in exchange for the possibility that your instance will get reclaimed arbitrarily. Instead, I followed this helpful tutorial which gave clear instructions on how to do StyleGAN training on AWS "spot instances". I don't have a computer that has a serious GPU so I wasn't able to do the training locally. A while ago I used the large collection of Winamp skin screenshots I created as part of the Winamp Skin Museum to train a StyleGAN2 machine learning model to generate Winamp skin screenshots. ![]()
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