however, beware of latest nvidia driver update. it slow down my SD to terrible speed
however, beware of latest nvidia driver update. it slow down my SD to terrible speed
▲i had to roll back driver
▲there's plenty of models on hugginface or civitAI
Fis fine here
▲runned your code
had to choose "yes" to tons of question on uninstall
reinstalled
still not working
i dunno what to do anymore
had to choose "yes" to tons of question on uninstall
reinstalled
still not working
i dunno what to do anymore
AHow did it go?
▲not only, now my stable diffusion runs at 1/its
▲i guess i shut off my computer for today and go to ride my bycicle in nature
SHey Guys!
Do you recommend any good tips, workflows or strategies on how to create specific graphic novel framing and images? Not on an amateur level, just creating some random comic images, but with specific camera framing and characters with specific facial expressions, etc?
If you have any ideas or material to recommend, that would be very helpful. Thanks!
Do you recommend any good tips, workflows or strategies on how to create specific graphic novel framing and images? Not on an amateur level, just creating some random comic images, but with specific camera framing and characters with specific facial expressions, etc?
If you have any ideas or material to recommend, that would be very helpful. Thanks!
EHey there guys, anyone here facing any issues where you have already uploaded pre-set classification images but Dreambooth starts to create a batch of new images? It shouldn't be happening as the process itself is so slow.
AThat happens when your directory to the classification images is incorrect
ACheck that you never made a tying error when entering it
F@Dr. Furkan Gözükara haven't you find that training a face on realistic vision model is usually a very bad idea? i don't know if i'm doing it wrong, etc. but my results are horrible always
Fit asked password to connect jupyter i did a new installation :d
Fi am working on a new workflow
Fgenerated over 8k 768x1024 class images. trying to remove nsfw automatically haha
Fon realistic vision?
Fuse the nsfw filter that roop repo has added recently
Fi found a nice .net library
Fmaking chatgpt work haha
Fi installed it on runpod yesterday.
Fskip install on auto1111 begining and also use latest auto1111
FxD
Fwow huge diff
Fi love c# :d
Ffailed to move this 
EWell, I just used 'copy path' and paste it after giving the /
So, that shouldn't be happening :sad:
So, that shouldn't be happening :sad:
Fthat's not nsfw
Fi will share dataset on patreon
Fi know :d
Fbut abomination
FFthat's why i think regularization images is a bad idea
Falmost half is nswf lol
Fwhy you didn't include "nsfw" in the negative prompt? lmao
Fneed to do some clearing
Fcould have work maybe :d
Fthis is 768x1024 so have some repeating problem
Fyou could use sd 2.1 to generate them
FFsd 2.1
Fvery interestingly this model is putting a noise color to images
F
F
Fthis exists in majority
F
Fbut the variety of the model excellent
Finteresting fp32 version dont have that
MCan you create an advanced dreambooth video for classification.
I know the video with ohwx man.
I mean a new one where it learns "jumping man mid air towards a hanging rope on the moon" kind of thing.
So how it not only learns a new dataset like a face and adapt the rest it, but also a whole new situation where the rest of dataset can adapt to - while learning multiple new keywords at the same time(is that even possible?).
And the last thing is classification images - if I have a "jumping man towards a hanging rope" - image(like indiana jones) can I create a textfile with the same name as the image, with the keywords for that image? if yes, how do i tell sd to use that textfile - and many other files too(maybe even classification by folder structure? /jumping/man/rope/indianajones001.jpg).
Can I only train the same keywords, so like only "jumping man towards a hanging rope" or can I also mix it with images of only "jumping man", "rope", "jumping man on on the moon"...
I hope the explanation is clear enough. Because I was struggling to find pictures for a situation and in detail classify it (do I use ohwx jumping man, or use the full description for that photo).
To know and understand this would boost my ability to use sd 100x better
I know the video with ohwx man.
I mean a new one where it learns "jumping man mid air towards a hanging rope on the moon" kind of thing.
So how it not only learns a new dataset like a face and adapt the rest it, but also a whole new situation where the rest of dataset can adapt to - while learning multiple new keywords at the same time(is that even possible?).
And the last thing is classification images - if I have a "jumping man towards a hanging rope" - image(like indiana jones) can I create a textfile with the same name as the image, with the keywords for that image? if yes, how do i tell sd to use that textfile - and many other files too(maybe even classification by folder structure? /jumping/man/rope/indianajones001.jpg).
Can I only train the same keywords, so like only "jumping man towards a hanging rope" or can I also mix it with images of only "jumping man", "rope", "jumping man on on the moon"...
I hope the explanation is clear enough. Because I was struggling to find pictures for a situation and in detail classify it (do I use ohwx jumping man, or use the full description for that photo).
To know and understand this would boost my ability to use sd 100x better
Fthose are limited by the 512 px model
Fdistant shots
