diff --git a/inference_realesrgan.py b/inference_realesrgan.py
index 819a1b1..09f2815 100644
--- a/inference_realesrgan.py
+++ b/inference_realesrgan.py
@@ -94,7 +94,7 @@ def main():
                 _, _, output = face_enhancer.enhance(img, has_aligned=False, only_center_face=False, paste_back=True)
             else:
                 output, _ = upsampler.enhance(img, outscale=args.outscale)
-        except Exception as error:
+        except RuntimeError as error:
             print('Error', error)
             print('If you encounter CUDA out of memory, try to set --tile with a smaller number.')
         else:
diff --git a/realesrgan/data/realesrgan_dataset.py b/realesrgan/data/realesrgan_dataset.py
index e4c1109..4cf2d9e 100644
--- a/realesrgan/data/realesrgan_dataset.py
+++ b/realesrgan/data/realesrgan_dataset.py
@@ -92,7 +92,7 @@ class RealESRGANDataset(data.Dataset):
         while retry > 0:
             try:
                 img_bytes = self.file_client.get(gt_path, 'gt')
-            except Exception as e:
+            except (IOError, OSError) as e:
                 logger = get_root_logger()
                 logger.warn(f'File client error: {e}, remaining retry times: {retry - 1}')
                 # change another file to read
diff --git a/realesrgan/utils.py b/realesrgan/utils.py
index 802d391..8dad829 100644
--- a/realesrgan/utils.py
+++ b/realesrgan/utils.py
@@ -128,7 +128,7 @@ class RealESRGANer():
                 try:
                     with torch.no_grad():
                         output_tile = self.model(input_tile)
-                except Exception as error:
+                except RuntimeError as error:
                     print('Error', error)
                 print(f'\tTile {tile_idx}/{tiles_x * tiles_y}')
 
diff --git a/scripts/generate_meta_info.py b/scripts/generate_meta_info.py
index 51d028a..9c3b7a3 100644
--- a/scripts/generate_meta_info.py
+++ b/scripts/generate_meta_info.py
@@ -14,7 +14,7 @@ def main(args):
                 # read the image once for check, as some images may have errors
                 try:
                     img = cv2.imread(img_path)
-                except Exception as error:
+                except (IOError, OSError) as error:
                     print(f'Read {img_path} error: {error}')
                     status = False
                 if img is None: