this post was submitted on 06 Jul 2023
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Stable Diffusion
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Nice answer! Is there a number of concepts, to your knowledge/experience, where a LORA no longer works? For instance, if I want to make a model that understands all car brands and types, assuming that the base model doesn't of course, would a LORA still be sensible here?
Most LORAs I find have a more specialized narrow focus, and I don't know if I would just start with multiple LORAs dealing with individual concepts (a LORA for a "1931 Minerva 8 AL Rollston Convertible Sedan", a LORA for a "Maybach SW 42, 1939", etc.) or if I should try and generate one LORA to ~~rule~~ know them all...
It would definitely be unwieldy to make LORAs that were so obsessively granular, but it comes down to how specific you want the output to be. It's probably pretty easy to make a Porsche LORA that will spit out credible Porsche silhouettes, but if you want accurate and detailed 911 Turbo S models you have to train it just on those. More accurate means less flexible; you have to pick your poison.
If you want an omni-functional thing then you really want to make your own checkpoint... But LORA are still a potentially good way to approach that because you can merge LORAs into a model, and you can merge LORAs into each other. I have no idea how you do that, but the functionality is there.
My plan is (eventually) to do exactly that with my own niche area of interest, build a model but do it in discrete chunks. So start out with one specific LORA for one specific garment that I have a particular interest in, get that to work well, then make others, then when I have enough that it's tiresome to sort through start merging them together.
That said... I am not an expert, not even slightly.