if your training takes 15 your dataset is too small
if 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
Pdownload it from huggingface
Pthen move it into your models folder
GThanks, will try that
P
Pinside models you will see Stable-diffusion
Pput it in there
AOkay thank you!
Hcant anyone help me :(
Prealistic vision v1.3
Blip caption photos
batch size 2
LoRA type - Standard
training parameters:
Train Batch size - 2
Epoch - 1
Save every N epoch - 1
caption Extension - .txt
mixed precision - save precision - bf16
number of CPU threads per core - 8
Seed - 1234
cache latent - Check
learning rate - 0.0002
LR Scheduler - constant
LR warmup - 0
Optimizer - AdamW8bit
Text Encoder Learning Rate - 0.00005
Unet learning rate - 0.00008
Network Rank - 128
Network Alpha - 64
Max Rexolution - 768,768
Stop text encoder training - 0
Enable buckets - Check
Advance Settings - Default
Use xformers - Check
Blip caption photos
batch size 2
LoRA type - Standard
training parameters:
Train Batch size - 2
Epoch - 1
Save every N epoch - 1
caption Extension - .txt
mixed precision - save precision - bf16
number of CPU threads per core - 8
Seed - 1234
cache latent - Check
learning rate - 0.0002
LR Scheduler - constant
LR warmup - 0
Optimizer - AdamW8bit
Text Encoder Learning Rate - 0.00005
Unet learning rate - 0.00008
Network Rank - 128
Network Alpha - 64
Max Rexolution - 768,768
Stop text encoder training - 0
Enable buckets - Check
Advance Settings - Default
Use xformers - Check
Pthese were the training settings I used
TCan i see ur original photo?
Pwhich original photo? my dataset?
TYes
TJust few or maybe 2
Tim curios
P
Pand with captions