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45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
import json
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import os
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from jobs import BaseJob
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from toolkit.kohya_model_util import load_models_from_stable_diffusion_checkpoint
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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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from datetime import datetime
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process_dict = {
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'vae': 'TrainVAEProcess',
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'slider': 'TrainSliderProcess',
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'slider_old': 'TrainSliderProcessOld',
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'lora_hack': 'TrainLoRAHack',
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'rescale_sd': 'TrainSDRescaleProcess',
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'esrgan': 'TrainESRGANProcess',
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'reference': 'TrainReferenceProcess',
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}
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class TrainJob(BaseJob):
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def __init__(self, config: OrderedDict):
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super().__init__(config)
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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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# self.gradient_accumulation_steps = self.get_conf('gradient_accumulation_steps', 1)
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# self.mixed_precision = self.get_conf('mixed_precision', False) # fp16
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self.log_dir = self.get_conf('log_dir', None)
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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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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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