your dataset is bad :d
your dataset is bad :d
Fif you need random person
Fyou dont need to train person
FWhats bad about it?
Fbut how about the size of the bottle in relation to the hand?
JNot hifi images
JAnd as Doc says, "unwanted noise" on the dataset, like people
Fmake your dataset has relative sizes matching to person holding it in your dataset
FSorry Doc I got confused with this so you think I can include people holding the bottle
Fdo you mean relative sizes to other objects right? no to people
Fno people, people is noise
Fdistant shot of the product
Fso the proportoion size of the product
Fis like same as person holding it
Fgot it
FDoc I'm getting this error no Massedcompute
F
FUsing the 48GB_GPU_28200MB_6.4_second_it_Tier_1
FI noticed the FLux option is gone
Ffrom the model selection
Fwhat am I missing?
F
Fcould it be because I rented a 48g GPU and used the 48g config file
FNope same thing maybe I'm using an depricated config file?
Ddoes MassedCompute only offer Linux? I need a Windows cloud host
FTryed a bunch of different config files, even updated
message.txt16.69KB
Fstill nothing
Fcurrently linux
Fi told them windows as well
Fthey said they may add
Fdid you use my installer file on massed compute to update kohya
Finto accurate version?
Fno you didnt
Fit is using train_db.py
Fplease follow tutorial dont skip it
FYouTubeSECourses
If you want to train FLUX with maximum possible quality, this is the tutorial looking for. In this comprehensive tutorial, you will learn how to install Kohya GUI and use it to fully Fine-Tune / DreamBooth FLUX model. After that how to use SwarmUI to compare generated checkpoints / models and find the very best one to generate most amazing image...
F1:13:49 Massed Compute (cheap private cloud training) part of the tutorial starts with how to install Kohya GUI for FLUX training
Xokay, btw can we add extra network arguments in kohya?
Fyes
Xwhere? I couldn't find
Fcheck gui
Fthere are additonal arguments
MCan some check whether these inputs are crt
MThe generated image has up normal eyes
Fwell dont expect great results with 512 training
Fyou can inpaint face for some improvements
MOk whether the params are crt
Fi only have params for sd 1.5 dreambooth and sdxl dreambooth
Fthey are shared on patreon and you can see in this tutorial
FYouTubeSECourses
In this tutorial, I am going to show you how to install OneTrainer from scratch on your computer and do a Stable Diffusion SDXL (Full Fine-Tuning 10.3 GB VRAM) and SD 1.5 (Full Fine-Tuning 7GB VRAM) based models training on your computer and also do the same training on a very cheap cloud machine from MassedCompute if you don't have such compute...
M