attempt to fix flake8 lint errors

invokeai/app/invocations/latent.py

@@ -34,7 +34,6 @@ from invokeai.app.util.step_callback import stable_diffusion_step_callback
 from invokeai.backend.model_manager import BaseModelType, ModelType, SilenceWarnings
 
 from ...backend.model_manager.lora import ModelPatcher
-from ...backend.model_manager.models import BaseModelType
 from ...backend.model_manager.seamless import set_seamless
 from ...backend.stable_diffusion import PipelineIntermediateState
 from ...backend.stable_diffusion.diffusers_pipeline import (

invokeai/app/services/events.py

@@ -3,7 +3,7 @@
 from typing import Any, Optional
 
 from invokeai.app.models.image import ProgressImage
-from invokeai.app.services.model_manager_service import BaseModelType, ModelInfo, ModelType, SubModelType
+from invokeai.app.services.model_manager_service import ModelInfo, SubModelType
 from invokeai.app.util.misc import get_timestamp
 from invokeai.backend.model_manager.download import DownloadJobBase
 from invokeai.backend.util.logging import InvokeAILogger

invokeai/app/services/invocation_services.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) and the InvokeAI Team
 from __future__ import annotations
 
-from typing import TYPE_CHECKING, Optional
+from typing import TYPE_CHECKING
 
 if TYPE_CHECKING:
     from logging import Logger

invokeai/backend/model_manager/__init__.py

@@ -15,7 +15,7 @@ from .config import (  # noqa F401
 )
 from .install import ModelInstall, ModelInstallJob  # noqa F401
 from .loader import ModelInfo, ModelLoad  # noqa F401
-from .lora import ModelPatcher, ONNXModelPatcher
+from .lora import ModelPatcher, ONNXModelPatcher  # noqa F401
 from .models import OPENAPI_MODEL_CONFIGS, read_checkpoint_meta  # noqa F401
 from .probe import InvalidModelException, ModelProbe, ModelProbeInfo  # noqa F401
 from .search import ModelSearch  # noqa F401

invokeai/backend/model_manager/loader.py

@@ -226,7 +226,6 @@ class ModelLoad(ModelLoadBase):
         model_path, is_submodel_override = self._get_model_path(model_config, submodel_type)
 
         if is_submodel_override:
-            model_type = submodel_type
             submodel_type = None
 
         model_class = self._get_implementation(model_config.base_model, model_config.model_type)

invokeai/backend/model_manager/merge.py

@@ -18,7 +18,6 @@ import invokeai.backend.util.logging as logger
 from invokeai.app.services.config import InvokeAIAppConfig
 
 from . import ModelConfigBase, ModelConfigStore, ModelInstall, ModelType
-from .probe import ModelProbe, ModelProbeInfo
 
 
 class MergeInterpolationMethod(str, Enum):

invokeai/backend/model_manager/models/sdxl.py

@@ -1,16 +1,13 @@
 import json
 import os
 from enum import Enum
-from pathlib import Path
-from typing import Literal, Optional, Union
+from typing import Literal
 
 from omegaconf import OmegaConf
-from pydantic import Field
 
-from ..config import CheckpointConfig, MainCheckpointConfig, MainDiffusersConfig
+from ..config import MainDiffusersConfig
 from .base import (
     BaseModelType,
-    DiffusersModel,
     InvalidModelException,
     ModelConfigBase,
     ModelType,

invokeai/backend/model_manager/models/stable_diffusion.py

@@ -2,7 +2,7 @@ import json
 import os
 from enum import Enum
 from pathlib import Path
-from typing import Literal, Optional, Union
+from typing import Literal, Optional
 
 from diffusers import StableDiffusionInpaintPipeline, StableDiffusionPipeline
 from omegaconf import OmegaConf

invokeai/backend/model_manager/probe.py

@@ -8,7 +8,6 @@ its base type, model type, format and variant.
 
 import json
 from abc import ABC, abstractmethod
-from dataclasses import dataclass
 from pathlib import Path
 from typing import Callable, Optional
 

scripts/convert_models_config_to_3.2.py

@@ -12,7 +12,6 @@ These will mostly be empty after conversion, but will be populated
 when new models are downloaded from HuggingFace or Civitae.
 """
 import argparse
-import sys
 from pathlib import Path
 
 from omegaconf import OmegaConf

tests/test_model_manager.py

@@ -3,7 +3,7 @@ from pathlib import Path
 import pytest
 
 from invokeai.app.services.config import InvokeAIAppConfig
-from invokeai.backend import BaseModelType, ModelConfigStore, ModelType, SubModelType
+from invokeai.backend import SubModelType
 from invokeai.backend.model_manager import ModelLoad
 
 BASIC_MODEL_NAME = "sdxl-base-1-0"