better error message

models/pipeline_loader.py

@@ -18,12 +18,10 @@ def get_pipeline(model_path):
     else:
         # Assume it's a Hugging Face Hub model ID
         # Try to load config to determine if it's text-conditional
-        try:
-            config, _ = DiffusionPipeline.load_config(model_path)
-            has_text_encoder = "text_encoder" in config
-        except Exception:
-            print(f"Warning: Could not load config: {e}")
-            has_text_encoder = False
+        print(model_path)
+        config, _ = DiffusionPipeline.load_config(model_path)
+        has_text_encoder = "text_encoder" in config
+            
         if has_text_encoder:
             # Use the local pipeline file for custom_pipeline
             pipe = DiffusionPipeline.from_pretrained(