ChatGPT has no idead about stable diffusion yet. but i am planning an in depth tutorial for this
ChatGPT has no idead about stable diffusion yet. but i am planning an in depth tutorial for this
Fhi. probably they dont support amd right away. there could be way to make it work but i havent tested
Fyou are using latent couple extension? this is something i plan to cover
UYes. I love the feature of defining a mask as it allows. I've not tried regional prompter or whatever it's called, I looked at it and it seemed to be a step backwards in function
UTotal power over generations between latent couple and control net, tho to fully utilize latent couple, requires some skill with Photoshop or similar for precision. The control net segment preprocessor might have some potential too. I've not tried it just considered it.
AI aim finding that I get better training results using
linear as the learning rate scheduler than using constant_with_warmupUPersonally cosine and polynomial have given me good results. Seems to be a matter of just finding settings. There's a write up in discussions for dreambooth on GitHub that has a very thorough fleshing out of how to do your settings according to a formula.
https://github.com/d8ahazard/sd_dreambooth_extension/discussions/547
https://github.com/d8ahazard/sd_dreambooth_extension/discussions/547
GitHub
NEW UPDATE Updated formulas for calculating frame resolutions. Also updates with permissions were carried out in the table with mathematics. The custom lr_scheduler has been moved to a separate doc...
AThanks, any chance you could share your settings with me?
Fnewest xformers is compatiable with torch 2.0.1
FYouTubeSECourses
RunPod: https://bit.ly/RunPodIO. Discord : https://bit.ly/SECoursesDiscord. Web UI DreamBooth got epic update and we tested all new features to find the best settings (10). If I have been of assistance to you and you would like to show your support for my work, please consider becoming a patron on 
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Playlist of...
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ABuy these are all constant_with_warmup aren't they? and polynomial and linear both work better.
U@ashleyk I would not presume to know better than the good doctor.
I am mobile at this time and cannot access my dreambooth settings. The advantage I like of any scheduler on a curve is that it greatly helps with avoiding over fitting. Lots of ways to preserve the model you train on.
I am mobile at this time and cannot access my dreambooth settings. The advantage I like of any scheduler on a curve is that it greatly helps with avoiding over fitting. Lots of ways to preserve the model you train on.
UBut I cannot argue with the doctor's results.
UIt's 6am here and bed time, but as I need to get back into training this weekend, ty for the link. I will definitely watch. I've been bookmarking several of your courses for references.
AThis video is awesome, you definitely need to watch it if you have not already done so
UI plan to. His courses are fantastic. This weekend I have a lot of work I need to get done, so I'll be training to his spec and looking forward to the results
UI am really putting my 3090 TI through the ringer! Wish I had a 4090 but I can't be unhappy with what I do have.
AYeah you are fortunate to have your own GPU, I don't have a GPU so use the cloud for training
D@Furkan Gözükara SECourses I'm trying to do dreambooth training using the Inkpunk model to get the same style but I'm having a few errors. Using 1 x A100 80GB
24 vCPU 125 GB RAM on Runpod.
I installed dreambooth manually, changed the requirements, but when training I get this error:
AssertionError:
from user code:
File "/workspace/venv/lib/python3.10/site-packages/torch/random.py", line 23, in get_rng_state
return default_generator.get_state()
Set torch._dynamo.config.verbose=True for more information
So I tried installing torch torch 1.13 following the steps in https://www.youtube.com/watch?v=zA4LksIVas8&ab_channel=SECourses
pip3 install torch==1.13.1 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
pip uninstall xformers
pip install https://huggingface.co/MonsterMMORPG/SECourses/resolve/main/xformers-0.0.19-cp310-cp310-manylinux2014_x86_64.whl
In dreambooth extension folder: pip install -r requirements.txt
Installed VAE file
Restart pod
fuser -k 3000/tcp
But now when I type Python relauncher.py it won't start:( I get this error: TypeError: expected string or bytes-like object
I've stayed awake many hours trying to solve this but can't. Please help
24 vCPU 125 GB RAM on Runpod.
I installed dreambooth manually, changed the requirements, but when training I get this error:
AssertionError:
from user code:
File "/workspace/venv/lib/python3.10/site-packages/torch/random.py", line 23, in get_rng_state
return default_generator.get_state()
Set torch._dynamo.config.verbose=True for more information
So I tried installing torch torch 1.13 following the steps in https://www.youtube.com/watch?v=zA4LksIVas8&ab_channel=SECourses
pip3 install torch==1.13.1 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
pip uninstall xformers
pip install https://huggingface.co/MonsterMMORPG/SECourses/resolve/main/xformers-0.0.19-cp310-cp310-manylinux2014_x86_64.whl
In dreambooth extension folder: pip install -r requirements.txt
Installed VAE file
Restart pod
fuser -k 3000/tcp
But now when I type Python relauncher.py it won't start:( I get this error: TypeError: expected string or bytes-like object
I've stayed awake many hours trying to solve this but can't. Please help
YouTubeSECourses
RunPod: https://bit.ly/RunPodIO. Discord : https://bit.ly/SECoursesDiscord. How to install latest version of Automatic1111 Web UI and #DreamBooth on #RunPod. If I have been of assistance to you and you would like to show your support for my work, please consider becoming a patron on https://www.patreon.com/SECourses
Playlist of #StableDiffusi...
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Fi also have 3090 ti 
Fpurchased 13900k so i will also compare cpu effect
Fhopefully a video coming for that too
Fso you get error at Python relauncher.py ?
DYes:/
Fif you are our patreon supporter i can do a fresh install for you
DOk I'm patreon supporter now:)
Fty please open google remote desktop
Fi will quickly install
Falso start a fresh runpod instance
Fi train a lot of models, using different dreambooth options and when i want to compare models to get the best one..... it's an impossible task 
Fdepending on seed, cfg, etc... sometimes a model is better at 3.000 steps, other times at 20.000 steps, other times using filewords, other times not using it...
Fdamn it
Fwhat a waste of time
Fi have like 40 models of the same thing and can't decide which ones to delete
Fi also tried using deepface to get the scores but it also depends on many things!
Fwhat is your ultimate aim?
Fmy results are not even consistent, even if i'm using the deterministic option
Ftrying to get a model or two, one for best txt2img, flexible and good quality, and if needed, another for inpainting with insane quality
Fmaybe i shoauldn't be using euler_a to compare? when comparing checkpoints at different steps... they produce very different stuff and it's hard to compare
Ffor example model a 13920 steps produces a totally different image at 17400 steps
Fso it's impossible to compare at what epoch is better, because results are so different
FYou are using same training dataset?
UYeah there's no way you're guessing what cpu I have....
UAnd 64gb more ram in the mail 
U(totally replied to the wrong sentence, oops)
Fyes
Fnice
Fwith deterministic it is suppsed to be same but as you say it is not
Fthere are random parts of training and i think they cant make it deterministic
Fespecially with optimizer if you use
Fit's very hard to compare stuff
