This comprehensive video tutorial equips you with the knowledge to train a high-quality real-life LoRA model. Discover step-by-step techniques for breathtaking AI portraits.
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Links:
Running Stable Diffusion on RunPod: https://runpod.io?ref=jden1933
Best Way to Use LoRA (LoRA + ADetailer Face Swap): • Best Way to Use LoRA (LoRA + ADetaile...
Kohya Github Page: https://github.com/bmaltais/kohya_ss
Training Base Model Download: https://huggingface.co/runwayml/stabl...
Online Cropping Tool: https://www.birme.net/?target_width=5...
How to Crop Training Images: • Text Inversion: The easiest way to tr...
A1111's Tagger extension: https://github.com/toriato/stable-dif...
How to Captioning: • Text Inversion: The easiest way to tr...
Dataset Tag Editor: https://github.com/toshiaki1729/stabl...
Optimizer Extra Arguments:
When opting for DAdaptAdam, you'll need to configure it with specific arguments: --optimizer_args "decouple=True" "weight_decay=0.01" "betas=0.9,0.999"
For Adafactor, the recommended arguments are: --optimizer_args "relative_step=True" "scale_parameter=True" "warmup_init=True"
Time Stamps
0:00 Intro
1:02 LoRA Training Flow
1:46 Principles Behind LoRA Training
3:46 LoRA Training Preparation
6:10 Understanding Core LoRA Training Parameters
13:36 Advanced LoRA Training Parameter Adjustments
18:44 Monitoring the Training Process
20:23 Finding the Best LoRA Model