base model produces good enough. with custom models they are very biased
base model produces good enough. with custom models they are very biased
Fthat can be reason
TThank you, ill reinstall again
Fcan you try with torch 2?
Mdo i have to uninstall and reinstall
Fno
Factivate venv
Finstall torch 2
M
Mshould i do multi gpu here?
SHi @Furkan Gözükara SECourses I would just like to let you know, I was able to follow the tutorial:
https://www.youtube.com/watch?v=zA4LksIVas8&t=306s
It worked, I trained my model, then I tried to launch i new pod today and it seens something got update because it no longer works anymore. Not even the first git pull on the root, it says something about one of the files, so if I do a git stash it lets me do the pull, but following everything as before don't wor anymore
https://www.youtube.com/watch?v=zA4LksIVas8&t=306s
It worked, I trained my model, then I tried to launch i new pod today and it seens something got update because it no longer works anymore. Not even the first git pull on the root, it says something about one of the files, so if I do a git stash it lets me do the pull, but following everything as before don't wor anymore
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Adoes anybody have the original model of illuminatidiffusion and would like to share it ?
SI realized now it works, but now it launchs using 127.0.01:7860 instead of 0.0.0.0:3000 so the connect via http of the pod does not work and so i have to use the --share arg to be apple to access it
Sis there a way to change the ip it launches, I tried using --port 3000 but it also don't work with the runpod provided url
Z
Zusing kohya following docs video
Fyou dont need to do git pull
Fprobably you didnt kill previous instance
Fno first option
Fface is so high qualty
SOh I see, will try that! Thanks again
ZThanks doc
Zthat's using xformers 2
S@Furkan Gözükara SECourses have u tried using more augments apart from horizontal flip to see if they improve training?
Fwhich ones for example?
Si was thinking this, idk if makes sense using it tho, but there are plenty more https://pytorch.org/vision/stable/generated/torchvision.transforms.RandomErasing.html#torchvision.transforms.RandomErasing
Fi think trying to improve training dataset would have more dramatic effect
Slike randomly grayscale, if its 5% of the times will not affect too much
Syeah i was thinking more in terms of preventing overfitting and still improving if possible
Siam trying random image rotation -45,45 , just for the sake of experimenting
Fthanks let us know the results please
Ssure
Zi did 256 using locon on kohya, seemed to get better results
C@Furkan Gözükara SECourses I'm interested to try and run deep floyd IF locally, I have a 3090 so i should have enough RAM. I thought you had mentioned the possibility of making a video for that?
Fyep it is on my list
Fwith a good ui
CI've read that voicevox is a good opensource AI text-to-voice model but also as far as i can tell its only for japanese at the moment. Is there any equivalent for english that anyone knows about?
Mafter torch 2.o install
M
Fwell maybe kohya ss is not as optimized as sd web ui
Fbecause i know 8 gb vram people using sd web ui lora
Rwhat is the correct way to make an image with two LoRA's: 1) the subject LoRA, training for face accuracy, and 2) an outfit LoRA, training for body and outfit accuracy. In both cases, I am training for unique real object. I suppose I should treat both like you did your suit portraits using LoRA with class images, no prompt. Am I correct to suppose that I should treat both face and outfit the same way? with no captions, using class images? @Furkan Gözükara SECourses @Zono50
Fi think it should be same because you are teaching a subject as you said
Feither a person or a clothing
Mis kohya the only way to train a model well?
Fnot at all
Fthere is dreambooth extension of automatic1111
Fworks great
Mim not big into tech or anything but i need to train models well and have a 370ti
Mokay ill use dreambooth then