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https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
Refactor logic/small fixes
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parent
160b5d7992
commit
23c22ac933
@ -311,7 +311,7 @@ class ModelManager(object):
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self.models[model_key] = model_class.create_config(**model_config)
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# check config version number and update on disk/RAM if necessary
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self.globals = InvokeAIAppConfig.get_config()
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self.app_config = InvokeAIAppConfig.get_config()
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self.logger = logger
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self.cache = ModelCache(
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max_cache_size=max_cache_size,
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@ -362,6 +362,9 @@ 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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def get_model(
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self,
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model_name: str,
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@ -382,37 +385,21 @@ class ModelManager(object):
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# if model not found try to find it (maybe file just pasted)
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if model_key not in self.models:
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# TODO: find by mask or try rescan?
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path_mask = f"/models/{base_model}/{model_type}/{model_name}*"
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if False: # model_path = next(find_by_mask(path_mask)):
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model_path = None # TODO:
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model_config = model_class.probe_config(model_path)
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self.models[model_key] = model_config
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else:
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self.scan_models_directory(base_model=base_model, model_type=model_type)
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if model_key not in self.models:
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raise Exception(f"Model not found - {model_key}")
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# if it known model check that target path exists (if manualy deleted)
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else:
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# logic repeated twice(in rescan too) any way to optimize?
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model_path = self.globals.root_path / self.models[model_key].path
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if not model_path.exists():
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if model_class.save_to_config:
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self.models[model_key].error = ModelError.NotFound
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raise Exception(f"Files for model \"{model_key}\" not found")
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else:
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self.models.pop(model_key, None)
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raise Exception(f"Model not found - {model_key}")
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# reset model errors?
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model_config = self.models[model_key]
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model_path = self.app_config.root_path / model_config.path
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# /models/{base_model}/{model_type}/{name}.ckpt or .safentesors
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# /models/{base_model}/{model_type}/{name}/
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# massage relative paths into absolute ones
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model_path = model_path or self.globals.root_path / model_config.path
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model_config.path = model_path
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if not model_path.exists():
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if model_class.save_to_config:
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self.models[model_key].error = ModelError.NotFound
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raise Exception(f"Files for model \"{model_key}\" not found")
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else:
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self.models.pop(model_key, None)
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raise Exception(f"Model not found - {model_key}")
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# vae/movq override
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# TODO:
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@ -426,7 +413,7 @@ class ModelManager(object):
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# TODO: path
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# TODO: is it accurate to use path as id
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dst_convert_path = self.globals.models_dir / ".cache" / hashlib.md5(str(model_path).encode()).hexdigest()
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dst_convert_path = self._get_model_cache_path(model_path)
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model_path = model_class.convert_if_required(
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base_model=base_model,
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model_path=model_path,
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@ -547,9 +534,12 @@ 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.globals.root_path / model_cfg.path
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model_path = self.app_config.root_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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if model_path.is_relative_to(self.globals.models_path):
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if model_path.is_relative_to(self.app_config.models_path):
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if model_path.is_dir():
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rmtree(str(model_path))
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else:
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@ -576,18 +566,30 @@ class ModelManager(object):
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model_config = model_class.create_config(**model_attributes)
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model_key = self.create_key(model_name, base_model, model_type)
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assert (
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clobber or model_key not in self.models
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), f'attempt to overwrite existing model definition "{model_key}"'
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if clobber or model_key not in self.models:
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raise Exception(f'Attempt to overwrite existing model definition "{model_key}"')
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self.models[model_key] = model_config
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if clobber and model_key in self.cache_keys:
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old_model = self.models.pop(model_key, False)
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if old_model is not None:
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# TODO: if path changed and old_model.path inside models folder should we delete this too?
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# remove conversion cache as config changed
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old_model_path = self.app_config.root_path / old_model.path
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old_model_cache = self._get_model_cache_path(old_model_path)
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if old_model_cache.exists():
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if old_model_cache.is_dir():
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rmtree(str(old_model_cache))
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else:
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old_model_cache.unlink()
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# remove in-memory cache
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# note: it not garantie to release memory(model can has other references)
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cache_ids = self.cache_keys.pop(model_key, [])
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for cache_id in cache_ids:
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self.cache.uncache_model(cache_id)
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self.models[model_key] = model_config
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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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@ -628,7 +630,7 @@ class ModelManager(object):
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yaml_str = OmegaConf.to_yaml(data_to_save)
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config_file_path = conf_file or self.config_path
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assert config_file_path is not None,'no config file path to write to'
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config_file_path = self.globals.root_dir / config_file_path
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config_file_path = self.app_config.root_path / config_file_path
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tmpfile = os.path.join(os.path.dirname(config_file_path), "new_config.tmp")
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with open(tmpfile, "w", encoding="utf-8") as outfile:
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outfile.write(self.preamble())
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@ -651,16 +653,20 @@ class ModelManager(object):
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"""
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)
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def scan_models_directory(self):
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def scan_models_directory(
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self,
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base_model: Optional[BaseModelType] = None,
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model_type: Optional[ModelType] = None,
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):
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loaded_files = set()
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new_models_found = False
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with Chdir(self.globals.root_path):
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with Chdir(self.app_config.root_path):
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for model_key, model_config in list(self.models.items()):
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model_name, base_model, model_type = self.parse_key(model_key)
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model_path = str(model_config.path)
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if not os.path.exists(model_path):
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model_class = MODEL_CLASSES[base_model][model_type]
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model_name, cur_base_model, cur_model_type = self.parse_key(model_key)
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model_path = self.app_config.root_path / model_config.path
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if not model_path.exists():
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model_class = MODEL_CLASSES[cur_base_model][cur_model_type]
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if model_class.save_to_config:
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model_config.error = ModelError.NotFound
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else:
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@ -668,24 +674,29 @@ class ModelManager(object):
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else:
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loaded_files.add(model_path)
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for base_model in BaseModelType:
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for model_type in ModelType:
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model_class = MODEL_CLASSES[base_model][model_type]
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models_dir = os.path.join(self.globals.models_dir, base_model, model_type)
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for cur_base_model in BaseModelType:
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if base_model is not None and cur_base_model != base_model:
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continue
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if not os.path.exists(models_dir):
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for cur_model_type in ModelType:
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if model_type is not None and cur_model_type != model_type:
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continue
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model_class = MODEL_CLASSES[cur_base_model][cur_model_type]
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models_dir = self.app_config.models_path / cur_base_model.value / cur_model_type.value
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if not models_dir.exists():
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continue # TODO: or create all folders?
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for entry_name in os.listdir(models_dir):
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model_path = os.path.join(models_dir, entry_name)
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for model_path in models_dir.iterdir():
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if model_path not in loaded_files: # TODO: check
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model_path = Path(model_path)
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model_name = model_path.name if model_path.is_dir() else model_path.stem
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model_key = self.create_key(model_name, base_model, model_type)
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model_key = self.create_key(model_name, cur_base_model, cur_model_type)
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if model_key in self.models:
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raise Exception(f"Model with key {model_key} added twice")
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if model_path.is_relative_to(self.app_config.root_path):
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model_path = model_path.relative_to(self.app_config.root_path)
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model_config: ModelConfigBase = model_class.probe_config(str(model_path))
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self.models[model_key] = model_config
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new_models_found = True
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@ -701,18 +712,18 @@ class ModelManager(object):
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'''
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# avoid circular import
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from invokeai.backend.install.model_install_backend import ModelInstall
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installer = ModelInstall(config = self.globals,
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installer = ModelInstall(config = self.app_config,
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model_manager = self)
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installed = set()
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if not self.globals.autoimport_dir:
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if not self.app_config.autoimport_dir:
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return installed
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autodir = self.globals.root_path / self.globals.autoimport_dir
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autodir = self.app_config.root_path / self.app_config.autoimport_dir
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if not (autodir and autodir.exists()):
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return installed
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known_paths = {(self.globals.root_path / x['path']).resolve() for x in self.list_models()}
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known_paths = {(self.app_config.root_path / x['path']).resolve() for x in self.list_models()}
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scanned_dirs = set()
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for root, dirs, files in os.walk(autodir):
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for d in dirs:
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@ -752,7 +763,7 @@ class ModelManager(object):
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from invokeai.backend.install.model_install_backend import ModelInstall
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successfully_installed = set()
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installer = ModelInstall(config = self.globals,
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installer = ModelInstall(config = self.app_config,
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prediction_type_helper = prediction_type_helper,
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model_manager = self)
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for thing in items_to_import:
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