got it, I was thinking it was the opposite, thanks.
got it, I was thinking it was the opposite, thanks.
Fi see. ye it may be confusing. you are welcome
Fmaybe i should tier like SS S A 
Nlol. the military uses the same tiers (tier 1 is best), but it's always been confusing to me, because what happens when you improve tier 1? move to tier 0? lol
Aso for 83 images - what should i set epoch to?
Fwell i think max 200
Fand save frequent epochs
Fbecause depending on your dataset
Fit may get overtrained
Aok - tried 200 before but seemed low quality - will restart again
Fwhat are you training?
Afaces
Fif still was low quality either dataset is not good
Fdifferent person?=
Asame face
NWhen using regularization image sets, can I just use the set for the resolution I use all the time? I almost never render at 512x for example, always 1024 or higher. Or should I still use all the sets?
Fok then your dataset either not good
For you made mistake
ISir please make a tutorial on how to do masked training
Fuse same resolution as your training images
Fyep it is in production
Fthat is why i researched
Fsadly people didnt even upvote
FReddit
Explore this post and more from the StableDiffusion community
IThank you sir will waiting fir the release
NI thought because OneTrainer allows different resolutions, it would be the same for regularization images. I'm not to that part of the tutorial yet lol.
Fwell there are 2 sceneraios
Feither they get full resized
For resized into buckets
Fdepending on your setup
Fif you manually set all equal size
II did upvote
Fyou get more control
Fi prefer 1024x1024
Fthank you
NJust for clarification, your regularization images are mostly of people of color, and I'm training an east Asian and white person mostly. The ethnicity of the people in the regularization images don't have an effect on the training, right? Regularization images are for help with poses?
Edit: just looked at the latest folder of regularization images and it's a really good mix of different ethnicities, so I guess you can ignore this question, lol.
Edit: just looked at the latest folder of regularization images and it's a really good mix of different ethnicities, so I guess you can ignore this question, lol.
Fwell as much as deverse better
Fyes i tried to collect from every nation
NYou did a great job.
NI honestly don't know where you get the energy and drive to do all these things. It must have taken forever just to gather all those images!
Fi am full time spending on these right now so patreon support is my almost whole revenue
so patreon support is my almost whole revenue
Ki gotchuu 
K2 upvotes fromf both my accs 
None from me, as well lol
N@Dr. Furkan Gözükara Maybe every time you make a new post on reddit, you send out a server-wide note and ask people to upvote it?
Fnah this is fine. nevermind reddit :d
NWith an RTX 4070 12gb, training 1024x at float16 using your tier1sdxl 10gb config, do you know a rough estimate of how long it would take to train using 25 images? Just a ballpark figure. I'm wondering if I should I set it and leave the house to run errands for a few hours, or if I should set it and leave it to run overnight.
Fyou can calculate
Fwhat is your second / it
NAround 3.6 to 3.9