You have brain damage.

As I understand it (please, correct me if I’m wrong), aren’t gallery posts global? From what little I know, a named gallery (default is “public”) can be any name. That name becomes the identifier for that gallery. This means that anyone may use that same name and access that gallery from their own generator. If they’re public like that, how would this removal power work. Since you would affectively have the right to remove gallery images that don’t actually belong to the generator?

Well, I did see an em-dash in there…

Anyway, I do understand the sentiment. It’s not very fun being left in the dark, especially when we’re not even given a chance to participate.

Of course it isn’t a coincidence. That is the entire point of the training! Training will literally improve the output quality as it is fed more data on different styles, celebrities, artists, etc. this model does not include everything, and that was for a reason. The dev is attempting to run this model on very limited resources, so they loaded the base model (not to mention, many of the popular/new models are deliberately excluding data on celebs for fear of lawsuits). So, it’s going to need training because it needs to be very carefully trained in order to keep memory and GPU usage down.

So, no, you are not going to make the hardware work faster.

Ah, thanks. People have been so angry about the new model lately. I’m just trying to get this information out there.

What do you mean? It’s useful information.

I’m willing to bet the training data for those tags simply hasn’t completed and/or hasn’t started yet.

Quote from the notes you can find by clicking the little link that appears when you are generating an image:

This new image model is still training. It’s currently worse than the previous one at some things. It’ll steadily improve in quality and gain new knowledge over the next few months.

MONTHS

Training takes a long time and a lot of the GPU power on the hardware this model runs on (part of the speed issue). It is getting better as more training data completes, but please be patient.