This is a word predictor fed on billions of tokens of text. Because it has been trained on human writing, it makes characteristically human mistakes (including spelling, grammar, and even some phonetic errors).
I was similarly surprised, but it's true. The original text is essentially the exact same (probably a 99.9% overlap) with the exception of a few spelling mistakes or grammar errors. My editing was about as much as you'd get from Microsoft Word, if that.
Absolutely! I was planning on providing this, but wanted to keep the model free of commercial services. There are open-source alternatives out there, though, which I may add support for in the future.
Certainly a good point. Unfortunately, the output size is constrained by the training data (which in this case was ~800x800px). I think it would be kind of a pain to find 14,000 9000x9000 images, though, so I don't know if this will ever be able to fulfill this requirement. ;)
Definitely something I considered while feeding it a tremendous number of famous paintings (Rothko, Pollock, etc). Considering the nature of random seed generation/traversing through latent space, I don't see a strong legal case to be made for infringement. The law has done crazier things, though, so I'll keep an eye on it.
Close! I used anime to test the basic functionality/UI of the site. Transfer learning was in fact done on the FFHQ512 dataset from Nvidia (I figured the complexity of its features was a little higher, which would lend itself well to abstract textures).
This is correct. I agree with many of the commentators below - I could have been clearer. I simply didn't want to pay for a 24/7 GPU to generate on-the-spot (a little short on funds at the moment), instead opting to replace each series of 10,000 paintings once per month. Glad I could provide enjoyment to as many people as I did in the meanwhile!
Correct. This is actually quite doable with word embedding or image classification of a topic, semantic analysis, and then providing those as input to a network like the one I used for 1SecondPainting. I love the future.