From bf67a5dcf44c3dbd88d1913478d4e02477915f33 Mon Sep 17 00:00:00 2001
From: Aarni Koskela <akx@iki.fi>
Date: Mon, 29 May 2023 10:38:51 +0300
Subject: Upscaler.load_model: don't return None, just use exceptions

---
 modules/esrgan_model.py | 14 ++++++--------
 1 file changed, 6 insertions(+), 8 deletions(-)

(limited to 'modules/esrgan_model.py')

diff --git a/modules/esrgan_model.py b/modules/esrgan_model.py
index a20e8d91..02a1727d 100644
--- a/modules/esrgan_model.py
+++ b/modules/esrgan_model.py
@@ -1,4 +1,4 @@
-import os
+import sys
 
 import numpy as np
 import torch
@@ -6,9 +6,8 @@ from PIL import Image
 
 import modules.esrgan_model_arch as arch
 from modules import modelloader, images, devices
-from modules.upscaler import Upscaler, UpscalerData
 from modules.shared import opts
-
+from modules.upscaler import Upscaler, UpscalerData
 
 
 def mod2normal(state_dict):
@@ -142,8 +141,10 @@ class UpscalerESRGAN(Upscaler):
             self.scalers.append(scaler_data)
 
     def do_upscale(self, img, selected_model):
-        model = self.load_model(selected_model)
-        if model is None:
+        try:
+            model = self.load_model(selected_model)
+        except Exception as e:
+            print(f"Unable to load ESRGAN model {selected_model}: {e}", file=sys.stderr)
             return img
         model.to(devices.device_esrgan)
         img = esrgan_upscale(model, img)
@@ -159,9 +160,6 @@ class UpscalerESRGAN(Upscaler):
             )
         else:
             filename = path
-        if not os.path.exists(filename) or filename is None:
-            print(f"Unable to load {self.model_path} from {filename}")
-            return None
 
         state_dict = torch.load(filename, map_location='cpu' if devices.device_esrgan.type == 'mps' else None)
 
-- 
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