54 lines
2.2 KiB
Python
54 lines
2.2 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
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class ExtractJob(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.extract_model_path = self.get_conf('extract_model', required=True)
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self.extract_model = None
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self.output_folder = self.get_conf('output_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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if 'process' not in self.config:
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raise ValueError('config file is invalid. Missing "config.process" key')
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if len(self.config['process']) == 0:
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raise ValueError('config file is invalid. "config.process" must be a list of processes')
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# add the processes
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self.process = []
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for i, process in enumerate(self.config['process']):
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if 'type' not in process:
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raise ValueError(f'config file is invalid. Missing "config.process[{i}].type" key')
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if process['type'] == 'locon':
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from jobs.process import LoconExtractProcess
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self.process.append(LoconExtractProcess(i, self, process))
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else:
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raise ValueError(f'config file is invalid. Unknown process type: {process["type"]}')
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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 models for extraction")
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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(f" - Loading extract model: {self.extract_model_path}")
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self.extract_model = load_models_from_stable_diffusion_checkpoint(self.is_v2, self.extract_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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