diff --git a/invokeai/app/invocations/upscale.py b/invokeai/app/invocations/upscale.py
index f320e010e2..9fa208fb31 100644
--- a/invokeai/app/invocations/upscale.py
+++ b/invokeai/app/invocations/upscale.py
@@ -1,5 +1,5 @@
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) & the InvokeAI Team
-from pathlib import Path
+from pathlib import Path, PosixPath
 from typing import Literal, Union, cast
 
 import cv2 as cv
@@ -33,12 +33,12 @@ class RealESRGANInvocation(BaseInvocation):
     )
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
-        image = context.services.images.get_pil_image(self.image.image_name)  # type: ignore
-        models_dir = cast(Path, context.services.configuration.root_dir) / Path("models/")  # type: ignore
+        image = context.services.images.get_pil_image(self.image.image_name)
+        models_path = context.services.configuration.models_path
 
         rrdbnet_model = None
         netscale = None
-        model_path = None
+        esrgan_model_path = None
 
         if self.model_name in [
             "RealESRGAN_x4plus.pth",
@@ -54,13 +54,13 @@ class RealESRGANInvocation(BaseInvocation):
                 scale=4,
             )
             netscale = 4
-        elif self.model_name == "RealESRGAN_x4plus_anime_6B.pth":
+        elif self.model_name in ["RealESRGAN_x4plus_anime_6B.pth"]:
             # x4 RRDBNet model, 6 blocks
             rrdbnet_model = RRDBNet(
                 num_in_ch=3,
                 num_out_ch=3,
                 num_feat=64,
-                num_block=6, # 6 blocks
+                num_block=6,  # 6 blocks
                 num_grow_ch=32,
                 scale=4,
             )
@@ -83,11 +83,11 @@ class RealESRGANInvocation(BaseInvocation):
             context.services.logger.error(msg)
             raise ValueError(msg)
 
-        model_path = Path(f"core/upscaling/realesrgan/{self.model_name}")
+        esrgan_model_path = Path(f"core/upscaling/realesrgan/{self.model_name}")
 
         upsampler = RealESRGANer(
             scale=netscale,
-            model_path=str(models_dir / model_path),
+            model_path=str(models_path / esrgan_model_path),
             model=rrdbnet_model,
             half=False,
         )