Update app_lora1.py

app_lora1.py

@@ -103,28 +103,8 @@ def get_pipeline(script_name):
         "__file__": script_name,
         "__name__": "__main__",
 
-        # Core
+        # Minimal required globals
         "torch": torch,
-
-        # Diffusers
-        "DiffusionPipeline": DiffusionPipeline,
-
-        # Z-Image specific (imported lazily)
-        "ZImagePipeline": __import__(
-            "diffusers.pipelines.z_image.pipeline_z_image",
-            fromlist=["ZImagePipeline"],
-        ).ZImagePipeline,
-
-        "ZImageTransformer2DModel": __import__(
-            "diffusers.models.transformers.z_image_transformer_2d",
-            fromlist=["ZImageTransformer2DModel"],
-        ).ZImageTransformer2DModel,
-
-        # Quantization helpers
-        "GGUFQuantizationConfig": __import__(
-            "diffusers.quantizers.gguf",
-            fromlist=["GGUFQuantizationConfig"],
-        ).GGUFQuantizationConfig,
     }
 
     try:
@@ -134,7 +114,10 @@ def get_pipeline(script_name):
         raise RuntimeError(f"Pipeline build failed for {script_name}") from e
 
     if "pipe" not in namespace:
-        raise RuntimeError(f"{script_name} did not define `pipe`")
+        raise RuntimeError(
+            f"{script_name} did not define `pipe`.\n"
+            f"Each script MUST assign a variable named `pipe`."
+        )
 
     PIPELINES[script_name] = namespace["pipe"]
     log(f"✅ Pipeline ready: {script_name}")