diff --git a/bin/video2x.py b/bin/video2x.py
index b0f46f1..c42ab5d 100755
--- a/bin/video2x.py
+++ b/bin/video2x.py
@@ -108,9 +108,12 @@ def check_memory():
             Avalon.warning('Nvidia-smi not available, skipping available memory check')
             Avalon.warning('If you experience error \"cudaSuccess  out of memory\", try reducing number of threads you\'re using')
         else:
-            # "0" is GPU ID. Both waifu2x drivers use the first GPU available, therefore only 0 makes sense
-            gpu_memory_available = (GPUtil.getGPUs()[0].memoryTotal - GPUtil.getGPUs()[0].memoryUsed) / 1024
-            memory_status.append(('GPU', gpu_memory_available))
+            try:
+                # "0" is GPU ID. Both waifu2x drivers use the first GPU available, therefore only 0 makes sense
+                gpu_memory_available = (GPUtil.getGPUs()[0].memoryTotal - GPUtil.getGPUs()[0].memoryUsed) / 1024
+                memory_status.append(('GPU', gpu_memory_available))
+            except ValueError:
+                pass
 
     # Go though each checkable memory type and check availability
     for memory_type, memory_available in memory_status: