not if you get theoretical math, if I understand it correctly 🙂
not if you get theoretical math, if I understand it correctly 
Cits not random, but unstable process if I understand it right?
SSir, I was able to train 2 subjects yesterday with 4500 epochs. I also used at least 1000 class images. The results were not very satisfactory. Is it beneficial if I continue training?
Fthere is no true random very correct
Fmore training usually dont get improved
Cmy model was at 22.600 and my hypothesis is that you could theoretically train to infinite given the right tokens
C75 tokens have a lower weight than 1 token
Ccompounded
Fdefinitely
Fthis thing has
Fbetween relationships as well
Fthat is not something
Fthat can be understood
Fmanually
Fit is all about machine learning
Fbigger scheme it works
Cyes
Fwhen you zoom in
Fall you see is bunch of numbers
Cyeah
Fso when you use more prompts during training
Fmore relationships are
Fcompounded
CHow many good images do you have of yourself Dr.Furkan, that are different?
SThank you 
Clike "epic" pictures of yourself
COk, but output
Fye just understood
Fi got quite good
Fafk for a while
Cok
So pick 300 quite good images that are unique and different.
create a model where you use the original 12 images that you used
12 images PLUS the 300 images WITH filewords.
This should not overtrain the model and because of compounded weight it should DECREASE the variation of the loss/average learning rate
So pick 300 quite good images that are unique and different.
create a model where you use the original 12 images that you used
12 images PLUS the 300 images WITH filewords.
This should not overtrain the model and because of compounded weight it should DECREASE the variation of the loss/average learning rate
CYou compound the most at 75 Tokens
CSo theoretically if you scan 300 images with 1 Token and 300 images with 75 tokens the Loss average/ learning rate should go down
CThis I will test now
CBecause actually I think there is replicated results even though there might be some standard deviation currently in the process
NHi again, i followed the instructions of the video. I found them easy although i dont know anything about code. Now, i am not getting the black samples during training but only the sanity sample is related to the subject. The prompt sample is random
Cblack samples?
Cwhat model are you running?
C
Nvenv "F:\Automatic1111 Webui\stable-diffusion-webui\venv\Scripts\Python.exe"
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Commit hash: 602a1864b05075ca4283986e6f5c7d5bce864e11
Installing requirements for Web UI
#######################################################################################################
Initializing Dreambooth
If submitting an issue on github, please provide the below text for debugging purposes:
Python revision: 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Dreambooth revision: c544ee11aee0085a7fbb7fdda65898dea2145f0c
SD-WebUI revision: 602a1864b05075ca4283986e6f5c7d5bce864e11
Checking Dreambooth requirements...
[+] bitsandbytes version 0.35.0 installed.
[+] diffusers version 0.10.2 installed.
[+] transformers version 4.25.1 installed.
[+] xformers version 0.0.14.dev0 installed.
[+] torch version 1.13.1+cu116 installed.
[+] torchvision version 0.14.1+cu116 installed.
#######################################################################################################
Launching Web UI with arguments: --xformers
=================================================================================
You are running xformers 0.0.14.dev.
The program is tested to work with xformers 0.0.16rc425.
To reinstall the desired version, run with commandline flag --reinstall-xformers.
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Commit hash: 602a1864b05075ca4283986e6f5c7d5bce864e11
Installing requirements for Web UI
#######################################################################################################
Initializing Dreambooth
If submitting an issue on github, please provide the below text for debugging purposes:
Python revision: 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Dreambooth revision: c544ee11aee0085a7fbb7fdda65898dea2145f0c
SD-WebUI revision: 602a1864b05075ca4283986e6f5c7d5bce864e11
Checking Dreambooth requirements...
[+] bitsandbytes version 0.35.0 installed.
[+] diffusers version 0.10.2 installed.
[+] transformers version 4.25.1 installed.
[+] xformers version 0.0.14.dev0 installed.
[+] torch version 1.13.1+cu116 installed.
[+] torchvision version 0.14.1+cu116 installed.
#######################################################################################################
Launching Web UI with arguments: --xformers
=================================================================================
You are running xformers 0.0.14.dev.
The program is tested to work with xformers 0.0.16rc425.
To reinstall the desired version, run with commandline flag --reinstall-xformers.
C
CDid you do it like this?
Ni am not having the black samples since i followed the instructions of the vid. But the main samples (prompt) seems random stuff. The sanity prompt looks correct
Nlet me check it
C
Chow is your vram?
NYes, like the video. Step by step
Cshow vram usage
NWait..i think is my fault. Too many hours trying thins and installing, reinstalling..i forgot to write the prompt sample 
NNow it works!