I think I saw 3.20.6 as requirement somewhere
I think I saw 3.20.6 as requirement somewhere
RYea strange
AThink you mean 3.10.6. I was able to run A1111 on 3.10.10 on RunPod, haven't tried Kohya... but clearly different requirements for Linux and Windows 
RYea sorry, 3.10.6
P3.10.6 works for both a1111 and kohya
Pbut for some reason all training is now worse quality compared to a couple of days ago
Pboth runpod and local machine gave same results
ZDoes lion not work with lora in dreambooth? cause the results I got look nothing like my model
AWhat did you set the learning rate to?
Z5e-7
Zand 3e-7 for tenc
Zi'm doing lora extended
AWas it overtrained? Usually the LR for Lion is 1e-7
Zi don't think so, typically overtrained it looks burnt I thought.
Zi've been trying to train a model of my wife for ages now, and I get close, but never really there. I've followed every video I've come across, but still can't get it perfect
Yhelp !! this error on dreambooth 1111 i'ts new (again ) PermissionError: [WinError 5] Accès refusé: 'C:\Users\UTILIS~1\AppData\Local\Temp\tmp8_yihns4\text_encoder\model.safetensors'
PI'm unable to have both python 3.10.6 and 3.10.9, when I try to install 3.10.9 it is asking to upgrade from 3.10.6
AGitHub
pyenv for Windows. pyenv is a simple python version management tool. It lets you easily switch between multiple versions of Python. It's simple, unobtrusive, and follows the UNIX tradition ...
Fvery easy. each one have their own venv
Fi think they improve significantly because i train on 768x1024
Fi did a training for @eggbom
Fand you cant believe what raw quality we get
Fwith just
Fphoto of ohwx man
Feven no negatives
Fyes but they may bleed. likely to bleed if they are same class
Fnot yet. too many stuff i have to process :d
Fhi welcome
Fdelete that file and restart
P@Dr. Furkan GözükaraI have noticed that the quality of training on kohya is worse recently, is it the same for you?
Fi am using older commit :d
Fi also updated readme file
Fshared in my video description
Pthe latest commit works for me
Fworks but dont learn
Fno errors :d
Pit learns!
Fweird didnt learn for me
Fi even opened a topic
Fbut i did a fresh install
Fdidnt use older venv
Pdid you use torch 2 or 1?
Fi think torch 1
Ptorch 2 worked for me, using rtx 3090
Fi should retest
Pif you could, try to use like a one week old commit and compare it to the most recent commit
Fi used my video commit
Palso this is not just local machine but even runpod also worse training quality
Yok i'm deleting it and i figure how to upgrade khoya and create a dreambooth with it but it create only one model and i seek a way to doing like automatic 1111 : multiple models so i can fiond wich one is not too much trained
AInteresting LR for Adan Dadaptation Optimizer
