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https://github.com/invoke-ai/InvokeAI
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modest refactoring
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@ -423,7 +423,7 @@ class ModelManager(object):
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return (model_name, base_model, model_type)
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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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return self.resolve_model_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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@ -456,7 +456,7 @@ class ModelManager(object):
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raise ModelNotFoundException(f"Model not found - {model_key}")
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model_config = self.models[model_key]
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model_path = self.app_config.models_path / model_config.path
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model_path = self.resolve_model_path(model_config.path)
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if not model_path.exists():
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if model_class.save_to_config:
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@ -623,7 +623,7 @@ class ModelManager(object):
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self.cache.uncache_model(cache_id)
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# if model inside invoke models folder - delete files
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model_path = self.app_config.models_path / model_cfg.path
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model_path = self.resolve_model_path(model_cfg.path)
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cache_path = self._get_model_cache_path(model_path)
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if cache_path.exists():
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rmtree(str(cache_path))
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@ -782,7 +782,7 @@ class ModelManager(object):
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**submodel,
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)
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checkpoint_path = self.app_config.root_path / info["path"]
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old_diffusers_path = self.app_config.models_path / model.location
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old_diffusers_path = self.resolve_model_path(model.location)
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new_diffusers_path = (
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dest_directory or self.app_config.models_path / base_model.value / model_type.value
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) / model_name
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@ -810,6 +810,9 @@ class ModelManager(object):
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return result
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def resolve_model_path(self, path: str) -> Path:
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return self.app_config.models_path / path
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def search_models(self, search_folder):
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self.logger.info(f"Finding Models In: {search_folder}")
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models_folder_ckpt = Path(search_folder).glob("**/*.ckpt")
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