File size: 2,260 Bytes
556e709 | 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 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 | # 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
# This is for generic training (LoRA, Dreambooth, FineTuning)
class UITrainerExtension(Extension):
# uid must be unique, it is how the extension is identified
uid = "ui_trainer"
# name is the name of the extension for printing
name = "UI 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 .UITrainer import UITrainer
return UITrainer
# This is a universal trainer that can be from ui or api
class DiffusionTrainerExtension(Extension):
# uid must be unique, it is how the extension is identified
uid = "diffusion_trainer"
# name is the name of the extension for printing
name = "Diffusion 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 .DiffusionTrainer import DiffusionTrainer
return DiffusionTrainer
# for backwards compatability
class TextualInversionTrainer(SDTrainerExtension):
uid = "textual_inversion_trainer"
AI_TOOLKIT_EXTENSIONS = [
# you can put a list of extensions here
SDTrainerExtension,
TextualInversionTrainer,
UITrainerExtension,
DiffusionTrainerExtension,
]
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