do you have a link to the LORA training config also?
do you have a link to the LORA training config also?
Fye but it is far from being very good
BOk great thanks, I'll try your dreambooth extract method also
BWhat settings do you reccomend when extracting the LORA?
Ftry
F128x128
F192x192
F256x256
BOk thanks
BDo you recommend BF16 as the "save precision" for a 3090?
AHey, I'm a total SD beginner, just installed SD on Kaggle following the tutorial.
I'm looking for guidance on what learning path to choose, which tutorials to follow.
My goal is to create specific kind of content: anthropomorphic animals, specifically animals in music bands
Hope you can point me in the right direction.
I'm looking for guidance on what learning path to choose, which tutorials to follow.
My goal is to create specific kind of content: anthropomorphic animals, specifically animals in music bands
Hope you can point me in the right direction.
R@Dr. Furkan Gözükara having some trouble with retinaface installation. it doesnt seem to like Python 3.10.11 but it was fine yesterday?
Rtried
pip install tensorflow==2.5.0
pip install retinaface==1.1.1
pip install tensorflow==2.5.0
pip install retinaface==1.1.1
Rand
pip install tensorflow==2.1.0
pip install retinaface==0.0.6Rbut getting
ERROR: Could not find a version that satisfies the requirement tensorflow==2.5.0Rtried different versions of tensorflow
Fyes
Fmuch better working than fp16
Rauto-cropper works fine
Fi would try to learn kaggle first
Roh
Rmaybe i need to uninstall first tensorflow
Rthen reinstall the older version?
Fi would try fresh install
Ri have deleted the venv and tried a few times
Rstrangely though I am getting
(venv) D:\auto-resize>pip uninstall tensorflow
WARNING: Skipping tensorflow as it is not installed.
(venv) D:\auto-resize>pip uninstall tensorflow
WARNING: Skipping tensorflow as it is not installed.
Rtensorflow doesnt even seem installed
Ri dont understand why it wont install in my environment. it was working fine
Rok i am going to redownload your script again though i dont see how anything could have changed
Fstill using python 3.10 right?
R3.10.11
Fduring install do you get any error?
Fye this is correct
R(venv) D:\auto-resize>pip install tensorflow==2.4.1
ERROR: Could not find a version that satisfies the requirement tensorflow==2.4.1 (from versions: 2.8.0rc1, 2.8.0, 2.8.1, 2.8.2, 2.8.3, 2.8.4, 2.9.0rc0, 2.9.0rc1, 2.9.0rc2, 2.9.0, 2.9.1, 2.9.2, 2.9.3, 2.10.0rc0, 2.10.0rc1, 2.10.0rc2, 2.10.0rc3, 2.10.0, 2.10.1, 2.11.0rc0, 2.11.0rc1, 2.11.0rc2, 2.11.0, 2.11.1, 2.12.0rc0, 2.12.0rc1, 2.12.0, 2.12.1, 2.13.0rc0, 2.13.0rc1, 2.13.0rc2, 2.13.0, 2.13.1, 2.14.0rc0, 2.14.0rc1, 2.14.0, 2.14.1, 2.15.0rc0, 2.15.0rc1, 2.15.0)
ERROR: No matching distribution found for tensorflow==2.4.1
[notice] A new release of pip is available: 23.0.1 -> 23.3.2
[notice] To update, run: python.exe -m pip install --upgrade pip
(venv) D:\auto-resize>python --version
Python 3.10.11
ERROR: Could not find a version that satisfies the requirement tensorflow==2.4.1 (from versions: 2.8.0rc1, 2.8.0, 2.8.1, 2.8.2, 2.8.3, 2.8.4, 2.9.0rc0, 2.9.0rc1, 2.9.0rc2, 2.9.0, 2.9.1, 2.9.2, 2.9.3, 2.10.0rc0, 2.10.0rc1, 2.10.0rc2, 2.10.0rc3, 2.10.0, 2.10.1, 2.11.0rc0, 2.11.0rc1, 2.11.0rc2, 2.11.0, 2.11.1, 2.12.0rc0, 2.12.0rc1, 2.12.0, 2.12.1, 2.13.0rc0, 2.13.0rc1, 2.13.0rc2, 2.13.0, 2.13.1, 2.14.0rc0, 2.14.0rc1, 2.14.0, 2.14.1, 2.15.0rc0, 2.15.0rc1, 2.15.0)
ERROR: No matching distribution found for tensorflow==2.4.1
[notice] A new release of pip is available: 23.0.1 -> 23.3.2
[notice] To update, run: python.exe -m pip install --upgrade pip
(venv) D:\auto-resize>python --version
Python 3.10.11
Rdont know what to do
Rok wait
Rthink i know
Rthis is the correct install.bat with tensorflow==2.10
Rgot it
Ri got cropper install confused with resizer
Rdifferent tensorflow
AThanks, can you share what should be the couple of next steps?
Rstill not working
Rok working i think lol
KWhich one is latest?
KAh there
SSDXL has two text encoders. I see the latest training config on patreon is training both of them. How does this work when prompting? Particularly when using the
sdxl_gen_img script from kohya? I see in diffusers people leverage both of the text encoders by actually sending in two prompts (and optionally two negative prompts). I'm guessing that using just a single prompt will only leverage one of the text encoders?Fwatching my kaggle all tutorials