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https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
if models.yaml doesn't exist, rebuild it
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parent
f4aa28bee0
commit
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@ -258,9 +258,7 @@ class ModelManagerService(ModelManagerServiceBase):
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config_file = config.model_conf_path
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else:
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config_file = config.root_dir / "configs/models.yaml"
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if not config_file.exists():
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raise IOError(f"The file {config_file} could not be found.")
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logger.debug(f'config file={config_file}')
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device = torch.device(choose_torch_device())
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@ -231,6 +231,7 @@ from __future__ import annotations
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import os
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import hashlib
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import textwrap
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import yaml
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from dataclasses import dataclass
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from pathlib import Path
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from typing import Optional, List, Tuple, Union, Dict, Set, Callable, types
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@ -314,6 +315,9 @@ class ModelManager(object):
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self.config_path = None
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if isinstance(config, (str, Path)):
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self.config_path = Path(config)
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if not self.config_path.exists():
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logger.warning(f'The file {self.config_path} was not found. Initializing a new file')
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self.initialize_model_config(self.config_path)
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config = OmegaConf.load(self.config_path)
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elif not isinstance(config, DictConfig):
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@ -386,6 +390,16 @@ class ModelManager(object):
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def _get_model_cache_path(self, model_path):
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return self.app_config.models_path / ".cache" / hashlib.md5(str(model_path).encode()).hexdigest()
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@classmethod
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def initialize_model_config(cls, config_path: Path):
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"""Create empty config file"""
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with open(config_path,'w') as yaml_file:
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yaml_file.write(yaml.dump({'__metadata__':
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{'version':'3.0.0'}
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}
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)
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)
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def get_model(
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self,
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model_name: str,
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