This folder contains models trained for the character grass wonder of umamusume. The main goal is to test the difference between native training and lora.
You can prompt with
- GrassWonder
- GrassWonder Toresen Uniform
- GrassWonder Racing Uniform
Dataset
Totat size 376 (no regularization is used)
- Face crop: 149
- Racing uniform: 94
- Toresen uniform: 39
- Other grasswonder images: 94
Base model
NMFSAN so you can have different styles
Native training
Trained with Kohya trainer
- training of text encoder turned on
- learning rate 1e-6
- batch size 1
- clip skip 2
- number of training steps 7520 (20 epochs)
Examples
LoRA
Please refer to LoRA Training Guide
- training of text encoder turned on
- network dimension 128
- learning rate 1e-4
- batch size 6
- clip skip 2
- number of training steps 7520/6 (20 epochs)
Examples
