Is it typical that it looks slightly foggy with this style or is that just a random thing in this ex
Is it typical that it looks slightly foggy with this style or is that just a random thing in this example?
JThe repair was unsuccessful.
I think I'll strate with a fresh version. To make every mistake again
I think I'll strate with a fresh version. To make every mistake again
Fi think random
Fusually best solution :d
JDoes torch 2 only improve performance or also quality?
If only performanc, then I would leave it out for now. I have enough power that that wouldn't be too bad.
If only performanc, then I would leave it out for now. I have enough power that that wouldn't be too bad.
Fonly performance atm i believe
Fit is still in development
Jthanks
Fmodel file posted on patreon for anyone interested in
Zwhat are the two packages we need to upgrade in stable diffusion for faster processing? can we not just pip install --upgrade then the package names?
Ztransformers and can't remember the other one
Fwell you need pre compiled wheel
Fso you cant just execute install command not yet
Zis there any prompt to activate face restoration?
FHi! I´m learning how to train models following this tutorials. I´m training my first one and in the preview output there are 4 images the first one is super random, nightmarish, the second one looks like the person I´m trying to model and then there are two graphics that I don´t understand and don´t know how to real:
F
FIs this common?
SHi I am having all sorts of problems so i decided to try and make an embed because it seemed easier but they are all coming out like they were painted by a madman. Is this normal?
FI read somewhere that the latest Dreambooth is just broken, no matter what you do, what parameters you adjust the results would be nightmarish
FIt´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
FWhat´s an embed?
SAn embed is a way of training that, according to my research, allows you to make a model based on one of the models (say, 1.5) and then you can use that face in any model that is based on 1.5.
So it would allow one to put the character they trained into a lot of things. Unless they look like claymation horrors from hell's basement.
So it would allow one to put the character they trained into a lot of things. Unless they look like claymation horrors from hell's basement.
FHo yes! That´s what I´m doing!
FI´m starting to get interesting results FINALLY!!!
Sdoes "interesting" mean melted abomination? Cause if so, me too!
SThe Doc has a video on training a LORA but he never mentions an embed so maybe it's trash?
FI think that "Save your Model Frequency" Is a very important value, I did just that, the memory usage goes crazy because at the end of the training you have lots of models. I assumed as a noob that the more the code works on a model the better it gets but that´s not the case, I think its called overtraining so... I ended with 10 versions of a model and apparently the third one is working very good, the fourth one gives bad results the fifth one very bad results and so on...
FNo! realistic results!
Spfft, if that's what you're going for, I suppose. But it's blurry nonsense for me! LET'S GO!
FHo! no, I he mentions that LORA is more difficult so I´m starting with embed 1.5
F
Syour pic looks more like my subject than mine does
Sthat is dope
FPROMT: painting of p3p34gu1L4r by rembrandt, high resolution. 8 k 3 d render trending on art station 4k intricate artwork masterpiece digital painting concept illustration greg rutkowski beeple alphonse mucha cinematic lighting atmospheric light glow octane unreal engine photorealistic hyperrealism photography complex detailed matte print fantasy style atmosphere surreal portrait canon eos c 300 ƒ 1 5 0 mm f 2 - 6 sony alpha n
Fhahaha
FTry this:
I think that "Save your Model Frequency" Is a very important value, I did just that, the memory usage goes crazy because at the end of the training you have lots of models. I assumed as a noob that the more the code works on a model the better it gets but that´s not the case, I think its called overtraining so... I ended with 10 versions of a model and apparently the third one is working very good, the fourth one gives bad results the fifth one very bad results and so on...
I think that "Save your Model Frequency" Is a very important value, I did just that, the memory usage goes crazy because at the end of the training you have lots of models. I assumed as a noob that the more the code works on a model the better it gets but that´s not the case, I think its called overtraining so... I ended with 10 versions of a model and apparently the third one is working very good, the fourth one gives bad results the fifth one very bad results and so on...
SI am saving every 50 steps so i have like a million, each worse than the next!
S
Fdamn!
FI know how frustrating that is, believe me... I spent 4 days watching nightmarish distorted monsters until now
FHow many photos are you using?
S18
S19?
Fthats a good number I think
SI am sure my settings are wrong
Ssooo many buttons
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