| 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](https://huggingface.co/Crosstyan/BPModel/blob/main/NMFSAN/README.md) so you can have different styles | |
| ### Native training | |
| Trained with [Kohya trainer](https://github.com/Linaqruf/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* | |
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| ### LoRA embedding | |
| Please refer to [LoRA Training Guide](https://rentry.org/lora_train) | |
| - training of text encoder turned on | |
| - network dimension 128 | |
| - learning rate 1e-4 | |
| - batch size 6 | |
| - clip skip 2 | |
| - number of training steps 7520 (20 epochs) | |
| *Examples* | |
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