what does it mean,
what does it mean,
Fthere are 2 venv
F1st is python installation
Cplease dont say, I dont watch your video.
F2nd is
Cyes, 1st is python installation
Fother venv
Fthat can be generated anywhere
Cok
Fsometimes ethan answers are very confusing
Fso with entering venv of
Fstable diffusion scripts
Fbasically we are telling
Fcall the pip exe
Finside there
COK
Fif you dont enter there, it will call the pip of
Fmain python installation
COK
CFor you and Ethan this is all very simple to understand, but you know I am very new. Its not all that easy even if I were to watch a whole video.
I always tell you what I have and have not watched. Just the answers he gives is confusing
I always tell you what I have and have not watched. Just the answers he gives is confusing
Fi know because in video i said if you want to use dev branch
Fbut since he doesnt know that
Fthat becomes conflicting
Cyes
Falso stash is necessary
CI have upvoted
Fif there are modified files
Cand commented on reddit
Fand he is also not aware that
Fthank you so much
C
Fi think looks ok
Fthose could be related to preview generation perhaps?
CThere is alot to learn from the analysis of their graphs Dr. Furkan
C
CProbably something worth learning to use in order to optimize models
Fwell i havent seen anyone very correctly able to extract information from graphs. at best i know that lower loss is better 
CI am running dreambooth now because I want to see if I can replicate Alia checkpoint
CIf I can replicate a model to be identical, then we can scientifically analyze dreambooth data
Fthere are also some randomization on each run
Fespecially very erratic for lora i found
CThere is no such thing as random in computer science
Cnot if you get theoretical math, if I understand it correctly 
Cits not random, but unstable process if I understand it right?
SSir, I was able to train 2 subjects yesterday with 4500 epochs. I also used at least 1000 class images. The results were not very satisfactory. Is it beneficial if I continue training?
Fthere is no true random very correct
Fmore training usually dont get improved
Cmy model was at 22.600 and my hypothesis is that you could theoretically train to infinite given the right tokens
C75 tokens have a lower weight than 1 token
Ccompounded