Ah, finally got Dreambooth working in the Colab.
Ah, finally got Dreambooth working in the Colab.
TWas it Smooth there in colab?
JWell, despite having spent my whole career (I am now retired) as a Systems and Network Engineer I have almost no coding ability, so it could have gone smoother.
JHere was a pretty good output. Took about 15 years off my age, so I approve.
Pat 1.8 im getting "looks like" results. but I'm going for a 1:1
PKohya feels like textual inversion with extra steps and HD usage
PI got a lot of "looks like" with textual inversion. not until I switched to dreambooth did I start getting 1:1
Swhat are your parameters?
Pexactly the same as the video
Sthe video was only for installation
Sif you used 512 photos you failed
Phe ran through a trial run as well
Sshow me your settings
Salso what base model
Pclosed now. I'm going through my dataset.
SI said not to listen to tutorials, the link was only for installing kohya
Plet's move this to DM so we don't clog up the main chat?
Sif your training takes 15 your dataset is too small
Sok
TInteresting
TOn going training on dreambooth. I wanted to cancel my training progress since im seeing better result of my subject in preview image. However, I forgot to check "Generate ckpt file when training is cancelled" but "Genenrate ckpt file when saving during training". Was checked. Im a good to stop the training now? 
Pcheck your stable diffusion models folder
Pyou should see a folder in there named your training model
Pin there you should have a list of ckp files that correspond with the training steps
Pif you have that then you should be good to stop the training and test using those checkpoints
TOh! i forgot lol! Thank for saving my time. Let me check
AHi I have got some strange problems.
AThis time it is the multiple controlnet
AI can't use use it for some reasons
AI can only use it for only 1 controlnet per generation.
AIf I tried to use 2 controlnet in the same time only the first controlnet will be applied.
PI take back what I said about Kohya Lora training. @Steel has shown me the light. Thanks mate, incredible results.
AWhat is your training setting sir? Could you share it here?
THow many images and Learning rate you used? loooks good tho.
P77 images. not cropped. full resolution
Plearning rate 0.0002
Pbut there were a lot of custom settings he walked me through.
PI'll try to compile a .txt file
Pjust testing the Lora now tho
Pchecking the flexibility
Him trying to generate a safetensors file from my lora but it always saves it like a model and it always has 5gb size what im doing wrong can anyone help me?
V@Dr. Furkan Gözükara Hi Dr, I'm truly appreciate for your time and effort. I've learned a lot from your channel & going to implement your tutorial. Just I had a question
Do you think it's better to work on dreambooth by using xformer 0.0.17 nightly or without it ?
Do you think it's better to work on dreambooth by using xformer 0.0.17 nightly or without it ?
VJust forgot to say on SD 1.5 I mean
Vmy second question is I wanted to know have you tried the below format for learning rate field instead of 0.00001 ?
0.05:10,0.02:20,0.01:60,0.005:200,0.002:500,0.001:3000,0.0005
I heard it gets better result but wanted to know your opinion as well
0.05:10,0.02:20,0.01:60,0.005:200,0.002:500,0.001:3000,0.0005
I heard it gets better result but wanted to know your opinion as well
PI'll put together a .txt
Pjust playing around with the lora at the moment
PI've never used a lora before so I'm new to the concept of using one to get accurate results
P
Ppretty insane if you ask me
GHey, I want to add the pruned v1.5 and was wondering how I do this? Do I copy the hugging face url and do wget in stable-diffusion-webui / models?
Padd it to the models folder in your stable diffusion main
