FRemember that the photos should be in 512X512 and they need to be very different from each other, different angles, lenses, backgrounds, clothes etc
FYes! Don´t lose hope!
FI have follow this tutorial https://www.youtube.com/watch?v=Bdl-jWR3Ukc&t=3153s 4 times in the last 3 days, from beginning to end, every time a notice something new, so much to learn!
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Sis anyone experienced with lora training here?
FIs there some bug in A1111 dreambooth training where the checkpoints it generates just ignore all the training? it generates samples fine but then try to use the checkpoint to generate images and the model you generate works but just ignores all the training instance tokens completely
For resuming training is broken or something, not sure wth is going on
FI read somewhere that the latest Dreambooth is just broken, no matter what you do, what parameters you adjust the results would be nightmarish
It´s so frustrating! Spent days trying for a model to work and to understand the app but the results are always garbage after hours of waiting
It´s so frustrating! Spent days trying for a model to work and to understand the app but the results are always garbage after hours of waiting
Fhow do you mean garbage?
Fdistorted nightmarish
Fthats not exactly the issue i'm facing, it is training, its generating good samples, but when i try to use the checkpoints in SD to generate images, it ignores the training and just treats it like its the underlying model with no training at all.
Fits not doing a crappy warped version of what i ask it to do, its just ignoring the training altogether
EI got error like this while training hypernetwork:
"A tensor with all NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the "Upcast cross attention layer to float32" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check."
I tried to add --no-half or set the "Upcast cross attention layer to float32" but it wont help. Wheni used --disable-nan-check then error disappeard BUT my samples are all black.
"A tensor with all NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the "Upcast cross attention layer to float32" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check."
I tried to add --no-half or set the "Upcast cross attention layer to float32" but it wont help. Wheni used --disable-nan-check then error disappeard BUT my samples are all black.
Fi did a new train yesterday it worked for me. i didnt generate any previews later did x/y/z
Flatest dreambooth working. i just did train yesterday
Fwhat model you are training sd 2.1?
Eyes
Fyou need to add --no-half
Fthat requires more vram
EYes i know 
I then I have error that I dont have vram 
I thought maybe I can resolve this in another way
I then I have error that I dont have vram I thought maybe I can resolve this in another wayE1.5 requires less vram?
Fyes 1.5 much lesser vram
Ffor example i cant do dreambooth on sd 2.1
Feven on 512 px
EI thought maybe it is because I resized the images from 768 to 512 using tool in automatic1111 and it somehow broke the images but i doubt that is the issue. Ok, I will try 1.5 then, thanks
THello Sd trainiacs. Can somebody share the command line to reset sd repo?
Fwhich version of sd 2.1 you are using 512 or 768
Fwhat you mean by reset?
Fyou can do git pull
E768
Ti got this error Dr. No python found at my directory after i made a dualbooth Os
TNo matter how path the python it wont start
TSo maybe hard reset on repositories will help me
TTo Default sertings
FYou have to use 768 training images
FYou need to set environment variable
FI explained in this video you watched it?
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N@Furkan Gözükara SECourses as I know you have the same grafikcard- a 3060 12gb. I updaed xformers and facing now the problem that everything seems to work until the generation prozess of images just freezes with no error. any ide what the reason is and/or what to do?
FWhat version you are using
Npython: 3.10.6 • torch: 2.0.0+cu118 • xformers: 0.0.17+b6be33a.d20230315
FDoes it work when use older version?
FOr did you try without sample image generation during training
Nlet me say it like this: it worked perfect unteil I started updating xformers 
Nthe freezing occurs not while training
Nbut in normal batch creation
FSo must be a bug in extension I will report
FYou can also downgrade meanwhile
FAnd can you try with 0 sample image during training?