Hi, thanks for your good model, the result is surprising!
My question is about :
- Training way
It looks you train it under dreambooth. But as I think your dataset is very large, it has potion, shield, sword and so on.
How you set the instance prompt and class prompt? And did you train with a prior-preserving loss?
sorry, somehow really missed this question. in case this still helps anyone:
I used Dreambooth (JoePenna repo). Dataset was 118 images. instance token is just "fantassified", class is "icon". I did use prior-preservation but I don't remember anymore how many reg images were used. probably 1000.
Amazing work! Does 118 images were all potion?