I had the same problem this morning suddenly. Running that line of code fixed it for me
I had the same problem this morning suddenly. Running that line of code fixed it for me
Cwhen I start a new Pod with SD 1.5, there is no Dreambooth now
Eat what point did you run it?
CAt the same point I got the error
Fit was never there. you need to install
CGitHub
A powerful and modular stable diffusion GUI with a graph/nodes interface. - GitHub - comfyanonymous/ComfyUI: A powerful and modular stable diffusion GUI with a graph/nodes interface.
Cyesterday I saw "stable-diffusion-webui-images-browser"
Cwhen I launch SD now, Dreambooth isn't there
C
Fthis is on runpod?
Cyes
Fi doubt. automatic1111 very good
Fthen please do a new install by following this video. but do not skip any part in first 7 minutes
FYouTubeSECourses - Software Engineering Courses
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 
https://www.patreon.com/SECourses
Playlist of...
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Fbeucase it works. i just installed it on another pod
CI've followed the video 5 times this morning lol I have it memorized. Everytime I get the same thing. I see this error when relaunching,
CFile "/workspace/stable-diffusion-webui/extensions/sd_dreambooth_extension/dreambooth/diff_to_sd.py", line 28, in <module>
from dreambooth.dreambooth import shared as shared # noqa
ModuleNotFoundError: No module named 'dreambooth.dreambooth'
from dreambooth.dreambooth import shared as shared # noqa
ModuleNotFoundError: No module named 'dreambooth.dreambooth'
Fyou must be missing a part
F
Fi sent a dm to you
Khey guys, I followed the tutorial for style transfer in control net, I downloaded models, but I dont see them in my preprocessor only in models
K
Kalso the yaml's didnt Dl with the models?
Fdo git pull on the extension
Fit downloads yaml files
Koh alright mb
Khmm I see them now but they still don't work
K
Fshow your all setup
Fand model folders
Fscreenshots
Kcould the problem be I have models folder in different folder?
KI just move yaml?
Fof course problem
Fplease follow video
Kworks now ty
F48 GB card failed
Ftorch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB (GPU 0; 47.54 GiB total capacity; 42.79 GiB already allocated; 133.12 MiB free; 46.06 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
Fgonna test on 80 gb lets see
S
F80 failed too :d
F
HThis do to dataset size ?
Fi think it is due to extension bug
Fi opened a thread
Fbut this machine consumes a lot credits
HThis is why I am looking at an alternative to the extension for training.
I am not good enough with code to keep up with fixes
I am not good enough with code to keep up with fixes
Ftrue
Di have been using stable tuner for on vast or auto1111 on vast for training, currently both repos are broken for my setup
Dcan anyone help me translate the google colab kohya notebook to a jupyter notebook i can run on vast?
HStabletuner is broken? Or cast giving issues?