39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
from toolkit.kohya_model_util import load_models_from_stable_diffusion_checkpoint
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from .BaseJob import BaseJob
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from collections import OrderedDict
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from typing import List
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from jobs.process import BaseExtractProcess, TrainFineTuneProcess
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process_dict = {
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'fine_tine': TrainFineTuneProcess
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}
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class TrainJob(BaseJob):
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process: List[BaseExtractProcess]
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def __init__(self, config: OrderedDict):
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super().__init__(config)
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self.base_model_path = self.get_conf('base_model', required=True)
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self.base_model = None
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self.training_folder = self.get_conf('training_folder', required=True)
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self.is_v2 = self.get_conf('is_v2', False)
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self.device = self.get_conf('device', 'cpu')
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# loads the processes from the config
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self.load_processes(process_dict)
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def run(self):
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super().run()
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# load models
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print(f"Loading base model for training")
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print(f" - Loading base model: {self.base_model_path}")
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self.base_model = load_models_from_stable_diffusion_checkpoint(self.is_v2, self.base_model_path)
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print("")
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print(f"Running {len(self.process)} process{'' if len(self.process) == 1 else 'es'}")
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for process in self.process:
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process.run()
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