fix: replace bare except with specific exception types

Replace bare except clauses with specific exception types in:
- comfy/sd.py: VAE.spacial_compression_decode/encode and temporal_compression_decode
- comfy/sd1_clip.py: token_weights and load_embed functions
- comfy/weight_adapter/lora.py: LoRAAdapter.load

This ensures that:
- Only relevant exceptions are caught (not SystemExit, KeyboardInterrupt)
- Debugging is easier as unexpected errors will propagate
- Follows Python best practices for exception handling

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
 
 

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']

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)