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31 lines
974 B
Python
31 lines
974 B
Python
# This is an example extension for custom training. It is great for experimenting with new ideas.
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from toolkit.extension import Extension
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# This is for generic training (LoRA, Dreambooth, FineTuning)
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class SDTrainerExtension(Extension):
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# uid must be unique, it is how the extension is identified
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uid = "sd_trainer"
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# name is the name of the extension for printing
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name = "SD Trainer"
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# This is where your process class is loaded
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# keep your imports in here so they don't slow down the rest of the program
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@classmethod
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def get_process(cls):
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# import your process class here so it is only loaded when needed and return it
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from .SDTrainer import SDTrainer
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return SDTrainer
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# for backwards compatability
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class TextualInversionTrainer(SDTrainerExtension):
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uid = "textual_inversion_trainer"
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AI_TOOLKIT_EXTENSIONS = [
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# you can put a list of extensions here
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SDTrainerExtension, TextualInversionTrainer
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]
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