Correct check of model_index.json file

pipeline_loader.py

@@ -20,10 +20,11 @@ def get_pipeline(model_path):
         # Try to load config to determine if it's text-conditional
         try:
             config, _ = DiffusionPipeline.load_config(model_path)
-            components = config.get("components", {})
+            has_text_encoder = "text_encoder" in config
         except Exception:
-            components = {}
-        if "text_encoder" in components or "text_encoder" in str(components):
+            print(f"Warning: Could not load config: {e}")
+            has_text_encoder = False
+        if has_text_encoder:
             # Use the local pipeline file for custom_pipeline
             pipe = DiffusionPipeline.from_pretrained(
                 model_path,