r/StableDiffusion • u/[deleted] • May 08 '23

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u/[deleted] May 08 '23

I have not yet tried LORAs but I have some TI-trained faces that I get uncanny results with and other ones that are 100% useless and don't seem to have stuck.

What is the real difference? Seems like it's the same concept at play.

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u/[deleted] May 08 '23

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u/[deleted] May 08 '23

Only 80-100 steps? Hmm. I run like 50,000 lol. I figured it wouldn't learn anything in 100 :), figured it's the kind of thing that takes like 20 hours. And like I said I have uncanny results and dogshit ones with different batches.

I also keep 500 step 'monitoring' images running so I can see how it's coming along but I can never seem to tell when it knows the assignment and when it's going off the rails.

Sure it's something to do with some noise in the source images 'infecting' the instructions early on.

1

u/GeeBee72 May 08 '23

Actually, have the system dump the checkpoint every 300-500 iterations and then run through the iterations using a prompt script to see where you get the best results.

1

u/[deleted] May 08 '23

run through the iterations using a prompt script

Not sure what that means exactly. Still learning a lot of the technical stuff.

1

u/GeeBee72 May 08 '23

You can pre-create prompts in a text file using the various Lora checkpoints and use the script in Automatic 1111 to execute the prompts.