LORA training guide/tutorial so you can understand how to use the important parameters on KohyaSS.

Train in minutes with Dreamlook.AI: https://dreamlook.ai/?via=N4T'>https://dreamlook.ai/?via=N4T
code: "NOT4TALENT"

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Links used in the VIDEO

Folder to JSON Script: https://drive.google.com/drive/folder...

KohyaSS: https://github.com/bmaltais/kohya_ss

Fastest Model training: https://dreamlook.ai

Alpha Rank and Dim post by @AsheJunius https://ashejunius.com/alphaanddime...

Google Colabs for "free" training: https://github.com/camenduru/stabled...
https://colab.research.google.com/git...

Super detailed LORA training guide by: "The Other Lora Rentry Guy" ?: https://rentry.co/59xed3#preamble

BooruDatasetTagManager: https://github.com/starik222/BooruDat...


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0:00 intro
0:10 What we need
0:23 Install KohyaSS
1:38 Thanks to LeFourbe
1:54 What are LORA
2:35 Best Datasets
4:26 How to get the images
5:06 Best Captioning
6:32 Captioning but AI POV
9:38 Captioning Example
11:00 Using BooruDatasetTagmanager
13:10 Training decisions
13:25 Choosing a model
14:02 Folder Structure making
14:32 What Regularization does
15:06 Steps and epochs Explained
16:50 Aprox recommendation
17:00 Ill use 14 steps and 6 epochs
17:32 Creating the folders
18:00 Training Parameters
19:25 Learning Rate Explained
20:40 LR scheduler
21:02 Use AdamW or AdamW8bit
21:30 Network Rank and Alpha
22:10 Resolution and Bucketing
23:10 Advanced Options
24:05 Train AI in minutes (sponsored)
26:10 Test Results
27:23 Thanks for watching :3