File size: 974 Bytes
1ba389d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 |
# This is an example extension for custom training. It is great for experimenting with new ideas.
from toolkit.extension import Extension
# This is for generic training (LoRA, Dreambooth, FineTuning)
class SDTrainerExtension(Extension):
# uid must be unique, it is how the extension is identified
uid = "sd_trainer"
# name is the name of the extension for printing
name = "SD Trainer"
# This is where your process class is loaded
# keep your imports in here so they don't slow down the rest of the program
@classmethod
def get_process(cls):
# import your process class here so it is only loaded when needed and return it
from .SDTrainer import SDTrainer
return SDTrainer
# for backwards compatability
class TextualInversionTrainer(SDTrainerExtension):
uid = "textual_inversion_trainer"
AI_TOOLKIT_EXTENSIONS = [
# you can put a list of extensions here
SDTrainerExtension, TextualInversionTrainer
]
|