@citnaj Hi Jason. Thanks so much for DeOldify. It's absolutely amazing. Just to confirm, because it seems like there must be a mistake in the GitHub repo, that DeOldify is released under the MIT license and we can offer a commercialized version?
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wow that’s amazing. will share our version once it’s live. we intend to offer a generous free tier, but if we are able to monetize it reasonably well, we would like to give back to you and deoldify. have you set up donation links?
Oh I appreciate that but no I don't have donation links and I don't intend on that. Good luck!
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if we can monetize well -- still far from certain, of course -- we'll need to revisit this anti-donation position. you deserve something for this wonderful research. :) any tips on first-timers digging into de-oldify?
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I'd say- I have yet to find any sort of image preprocessing that works reliably enough to use in production- so don't bother with that. Higher resolution/higher detailed images == better results, generally. And render_factor 35 is the best default for overall reliability.
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