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.

💡Looking for more? Access free posts, premium ComfyUI workflows, and personal support on my Patreon: [ Ссылка ]

Links:

- Running Stable Diffusion on RunPod: [ Ссылка ]
- Best Way to Use LoRA (LoRA + ADetailer Face Swap): [ Ссылка ]
- Kohya Github Page: [ Ссылка ]
- Training Base Model Download: [ Ссылка ]
- Online Cropping Tool: [ Ссылка ]
- How to Crop Training Images: [ Ссылка ]
- A1111's Tagger extension: [ Ссылка ]
- How to Captioning: [ Ссылка ]
- Dataset Tag Editor: [ Ссылка ]
- 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

свернуть