Can't you just use 3.10.9 for both?
Can't you just use 3.10.9 for both?
PI can try but this should not be needed because of venv folder
RThere's a workaround m. A weird one Sr Furkan helped me with. 1) setup 3.10.9, set env path. Install Kohya. 2) make copy of 3.10.9, uninstall original one. The problem is when you install Python system wide it basically wipes parts of the precious phthon install. Has worked for me. Have auto1111 running with 3.10.6 set as system wide Python. Then give 3.10.9 in env path for Kohya startups
RI recommend you become familiar with environment paths. The doctor discusses it on one of his videos about python
RAuto1111 is pretty strict about 3.10.6
AAh, wonder why A1111 and Kohya are like that on Windows but not Linux, strange
RI 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