diff --git a/comfy/sd.py b/comfy/sd.py
index adcd67767..17f3e5395 100644
--- a/comfy/sd.py
+++ b/comfy/sd.py
@@ -1102,19 +1102,19 @@ class VAE:
     def spacial_compression_decode(self):
         try:
             return self.upscale_ratio[-1]
-        except:
+        except (IndexError, TypeError):
             return self.upscale_ratio
 
     def spacial_compression_encode(self):
         try:
             return self.downscale_ratio[-1]
-        except:
+        except (IndexError, TypeError):
             return self.downscale_ratio
 
     def temporal_compression_decode(self):
         try:
             return round(self.upscale_ratio[0](8192) / 8192)
-        except:
+        except (IndexError, TypeError, AttributeError):
             return None
 
 
diff --git a/comfy/sd1_clip.py b/comfy/sd1_clip.py
index d89550840..3ea4ed48a 100644
--- a/comfy/sd1_clip.py
+++ b/comfy/sd1_clip.py
@@ -358,7 +358,7 @@ def token_weights(string, current_weight):
                 try:
                     weight = float(x[xx+1:])
                     x = x[:xx]
-                except:
+                except ValueError:
                     pass
             out += token_weights(x, weight)
         else:
@@ -425,7 +425,7 @@ def load_embed(embedding_name, embedding_directory, embedding_size, embed_key=No
         try:
             if os.path.commonpath((embed_dir, embed_path)) != embed_dir:
                 continue
-        except:
+        except (ValueError, TypeError):
             continue
         if not os.path.isfile(embed_path):
             extensions = ['.safetensors', '.pt', '.bin']
diff --git a/comfy/weight_adapter/lora.py b/comfy/weight_adapter/lora.py
index 8e1261a12..678bfbebf 100644
--- a/comfy/weight_adapter/lora.py
+++ b/comfy/weight_adapter/lora.py
@@ -205,7 +205,7 @@ class LoRAAdapter(WeightAdapterBase):
                 try:
                     reshape = lora[reshape_name].tolist()
                     loaded_keys.add(reshape_name)
-                except:
+                except (AttributeError, TypeError):
                     pass
             weights = (lora[A_name], lora[B_name], alpha, mid, dora_scale, reshape)
             loaded_keys.add(A_name)