fix flake8 warnings

invokeai/backend/model_manager/__init__.py

@@ -16,4 +16,4 @@ from .config import (  # noqa F401
 from .install import ModelInstall  # noqa F401
 from .probe import ModelProbe, InvalidModelException  # noqa F401
 from .storage import DuplicateModelException  # noqa F401
-from .search import ModelSearch
+from .search import ModelSearch  # noqa F401

invokeai/backend/model_manager/download/base.py

@@ -7,9 +7,8 @@ from abc import ABC, abstractmethod
 from enum import Enum
 from functools import total_ordering
 from pathlib import Path
-from typing import Set, List, Optional, Dict, Callable
-from pydantic import BaseModel, Field, validator, ValidationError
-from pydantic.networks import AnyHttpUrl
+from typing import List, Optional, Callable
+from pydantic import BaseModel, Field
 
 
 class DownloadJobStatus(str, Enum):

invokeai/backend/model_manager/install.py

@@ -278,7 +278,7 @@ class ModelInstall(ModelInstallBase):
             id = self.register(model)
             self._logger.info(f"Registered {model} with id {id}")
             self._installed.add(id)
-        except DuplicateModelException as exc:
+        except DuplicateModelException:
             pass
         return True
 
@@ -287,6 +287,6 @@ class ModelInstall(ModelInstallBase):
             id = self.install(model)
             self._logger.info(f"Installed {model} with id {id}")
             self._installed.add(id)
-        except DuplicateModelException as exc:
+        except DuplicateModelException:
             pass
         return True

invokeai/backend/model_manager/probe.py

@@ -516,7 +516,7 @@ class TextualInversionFolderProbe(FolderProbeBase):
         """Return the ModelBaseType of the HuggingFace-style Textual Inversion Folder."""
         path = self.model / "learned_embeds.bin"
         if not path.exists():
-            raise InvalidModelException(f"This textual inversion folder does not contain a learned_embeds.bin file.")
+            raise InvalidModelException("This textual inversion folder does not contain a learned_embeds.bin file.")
         return TextualInversionCheckpointProbe(path).get_base_type()
 
 

invokeai/backend/model_manager/search.py

@@ -15,14 +15,14 @@ Example usage:
 
   search = ModelSearch(on_model_found=report_it)
   found = search.search('/tmp/models')
-  print(found)   #  list of matching model paths 
+  print(found)   #  list of matching model paths
   print(search.stats)  #  search stats
 ```
 """
 
 import os
 from abc import ABC, abstractmethod
-from typing import Set, Optional, Callable, Union, types
+from typing import Set, Optional, Callable, Union
 from pathlib import Path
 
 from invokeai.backend.util.logging import InvokeAILogger