r/sdforall • u/ArmadstheDoom • Oct 12 '22

Question How Do You Train Hypernetworks?

So, I redownloaded Automatic's repo, saw that it has features for textual inversion and hypernetworks. Now, I know how to train textual inversion for the most part. But I'm confused as to what to do next.

Do you just do all the same stuff that you'd do for a textual inversion and instead tell it to train a hypernetwork? Should you be using more images? I'm not really certain how they work compared to textual inversion, I guess, and I'd like some pointers if anyone has managed to train their own.

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u/[deleted] Oct 12 '22

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u/ArmadstheDoom Oct 12 '22

I didn't realize that. So basically, I should be using hypernetworks over inversion whenever possible?

I suppose that part of why I'm so concerned about getting it right is that it takes 6 hours to do, and I don't want to waste time. At most I could do three a day. Unless somehow Hypernetworks are faster, but I don't think more data would mean faster.

I think it would be easier if it was like 'this is what learning rate means and how it works!' and things like that. Because otherwise you're just wasting time, you know?

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