I'm also curious about this (as a researcher myself). It would be nice to know what model is used (or if this is actually novel[0]).

It is also worth mentioning the legal issues of this, and since you are charging(?) for this, you can be in legal jeopardy[1]. The architecture might be under some license and if you tuned a model that might also be under a license (it is worse if these are not under a license!). Most research software is under MIT licenses, but it is starting to become less common. If you trained or tuned an existing model that does not necessitate you release the checkpoint, which let's be honest, that's the secret sauce.

[0] I don't expect this as even most of the research is not novel. There's so much railroading where things build on top of one another. But that is also the nature of how we create things. Not by giant leaps.

[1] lol, open source is stolen all the time. Legal action is really unlikely. But let's admit this is unethical.

Thank you for your professional reminder. Currently, I am using a third-party API directly and haven't paid attention to specific licensing details. Your reminder has brought this to my attention, and I will make sure to address it. Thank you for the heads-up.

Currently, we are using a third-party API directly. Based on my tests, if you enlarge an image repeatedly, the first enlargement might make the image too large, causing the second attempt to fail.