resolve more flake8 problems

invokeai/app/services/config/__init__.py

@@ -2,7 +2,7 @@
 Init file for InvokeAI configure package
 """
 
-from .invokeai_config import (
+from .invokeai_config import (  # noqa F401
     InvokeAIAppConfig,
     get_invokeai_config,
 )

invokeai/app/services/config/base.py

@@ -230,10 +230,10 @@ def int_or_float_or_str(value: str) -> Union[int, float, str]:
     """
     try:
         return int(value)
-    except:
+    except Exception as e:  # noqa F841
         pass
     try:
         return float(value)
-    except:
+    except Exception as e: # noqa F841
         pass
     return str(value)

invokeai/app/services/config/invokeai_config.py

@@ -249,7 +249,7 @@ class InvokeAIAppConfig(InvokeAISettings):
     attention_type      : Literal[tuple(["auto", "normal", "xformers", "sliced", "torch-sdp"])] = Field(default="auto", description="Attention type", category="Generation", )
     attention_slice_size: Literal[tuple(["auto", "balanced", "max", 1, 2, 3, 4, 5, 6, 7, 8])] = Field(default="auto", description='Slice size, valid when attention_type=="sliced"', category="Generation", )
     force_tiled_decode: bool = Field(default=False, description="Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty)", category="Generation",)
-    
+
     # DEPRECATED FIELDS - STILL HERE IN ORDER TO OBTAN VALUES FROM PRE-3.1 CONFIG FILES
     always_use_cpu      : bool = Field(default=False, description="If true, use the CPU for rendering even if a GPU is available.", category='Memory/Performance')
     free_gpu_mem        : Optional[bool] = Field(default=None, description="If true, purge model from GPU after each generation.", category='Memory/Performance')