as in dif batches for each control net seperately
as in dif batches for each control net seperately
Fyes there was a pull request and it had worked for me,
Fwow lora super memorized the background and clothing interestingly
Fi will test with captions
Fdreambooth had much better flexibility
Zdid u upload the video yet? never heard of kaggle before
Zyeah i've had much better success with captions, without, my model was burn after 2 epochs
Fstill processing
Fkaggle is even better than colab
Fye i am testing git captions
Fhere lora vs dreambooth
Zi usually do mine like this
Fi will show in a minute
Z
Zafter i do blip captions, run the following command - sed -i 's/a man/jrch/g' *.txt and replace man with woman or whatever i want, and jrch with ohwx
Rwhat are you using here?
Zauto1111 with stable-diffusion-webui-ux
Fok here lora vs dreambooth let me know your thoughts . this one lora
Fthis one dreambooth
F
Fthe training dataset was all taken same day same clothing same bg :d
Fi am also doing a new training with included captions
Roh i see. Havent tried ux yet. reg auto1111 seems ok still. worth using for training in your opinion?
Ftraining dataset
KGetting this ERROR after starting training,
" UserWarning:
also says, " Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the
To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. "
and then cache never loads , remains at 0%
" UserWarning:
huggingface_hubalso says, " Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the
HF_HUB_DISABLE_SYMLINKS_WARNINGTo support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. "
and then cache never loads , remains at 0%
Fso you should run your python as administrator
Fare you in admin account?
KYes, i am in admin
Repoch 3 looks like the sweet spot
Fwhat do you see when you open a cmd and type python
Fthanks. i will use these examples for another script hopefully in next video
Fusing AI to sort most similar images to training set 
Fcurrently doing another lora training with captions
Rthat would be super nice
Fye no one has done it before
KCan i send you the whole syntax?? this is the complete log @Furkan Gözükara SECourses
message.txt8.88KB
Z
ZI'm like a beastie boy/ nasa reject
Ri got really good results for outfit concept training with LoRA mutiple dataset subfolders. I would love to see how to integrate LorRA/Dreambooth integration with LoRA for concept, in the same prompt
Rthis looks amazing. can you explain your workflow?
RIs it combo of dreambooth and LoRA?
Zwell i used to struggle and try to make lora models for like hours and hours, and realized you only generally need like between 1000-3000 steps depending on image count of course
R1000-3000 for a low number like 10?
Rsample images?
Zuse regularization images, i'm using the ones doc made up for man
Rand are you using base model for training? or something else?
Zclass images per instance i only do like 5, if i do too many, it never looks like the subject, if i do none, than it burns too quick
Zusing realisticvisionv20
Zbiggest thing when doing captions is to just use the instance prompt, if you use the class prompt, it seems to get confused, so i run this command in my caption folder - sed -i 's/a man/jrch/g' *.txt - replace man with class prompt and jrch with instance prompt
Rinteresting. i am also going for photorealism, I've had some pretty interesting results prompting (without my training models) with Dreamlike Photorealism, but not sure, maybe too biased for baking with training... but i will maybe try realisticvision20
Zand i do 5 sample instance imag4es
