This folder contains models trained for the two characters oyama mahiro and oyama mihari.
Trigger words are
- oyama mahiro
- oyama mihari
To get anime style you can add aniscreen
At this point I feel like having oyama in the trigger is probably a bad idea because it seems to cause more character blending.
Dataset
Total size 338
screenshots 127
- Mahiro: 51
- Mihari: 46
- Mahiro + Mihari: 30
fanart 92
- Mahiro: 68
- Mihari: 8
- Mahiro + Mihari: 16
Regularization 119
For training the following repeat is used
- 1 for Mahiro and reg
- 2 for Mihari
- 4 for Mahiro + Mihari
Base model
LoRA
Please refer to LoRA Training Guide
- training of text encoder turned on
- network dimension 64
- learning rate scheduler constant
- learning rate 1e-4 and 1e-5 (two separate runs)
- batch size 7
- clip skip 2
- number of training epochs 45
Comparaison
learning rate 1e-4
learning rate 1e-5
Normally with 2 repeats and 45 epochs we should have perfectly learned the character with dreambooth (using typically lr=1e-6), but here with lr=1e-5 it does not seem to work very well. lr=1e-4 produces quite correct results but there is a risk of overfitting.
Examples
