fix attempt for HG error 2

app.py

@@ -100,7 +100,6 @@ def add_extra_model_paths() -> None:
 add_comfyui_directory_to_sys_path()
 add_extra_model_paths()
 
-
 def import_custom_nodes() -> None:
     """Find all custom nodes in the custom_nodes folder and add those node objects to NODE_CLASS_MAPPINGS
     This function sets up a new asyncio event loop, initializes the PromptServer,
@@ -122,18 +121,20 @@ def import_custom_nodes() -> None:
     # Initializing custom nodes
     init_extra_nodes()
 
+# Initialize nodes before using them
+import_custom_nodes()
 
+# Now import and use NODE_CLASS_MAPPINGS
 from nodes import NODE_CLASS_MAPPINGS
 
-intconstant = NODE_CLASS_MAPPINGS["INTConstant"]()
-dualcliploader = NODE_CLASS_MAPPINGS["DualCLIPLoader"]()
+try:
+    intconstant = NODE_CLASS_MAPPINGS["INTConstant"]()
+    dualcliploader = NODE_CLASS_MAPPINGS["DualCLIPLoader"]()
+except KeyError as e:
+    print(f"Error: Could not find node {e} in NODE_CLASS_MAPPINGS")
+    print("Available nodes:", list(NODE_CLASS_MAPPINGS.keys()))
+    raise
 
-#To be added to `model_loaders` as it loads a model
-dualcliploader_357 = dualcliploader.load_clip(
-    clip_name1="t5/t5xxl_fp16.safetensors",
-    clip_name2="clip_l.safetensors",
-    type="flux",
-)
 cr_clip_input_switch = NODE_CLASS_MAPPINGS["CR Clip Input Switch"]()
 cliptextencode = NODE_CLASS_MAPPINGS["CLIPTextEncode"]()
 loadimage = NODE_CLASS_MAPPINGS["LoadImage"]()
@@ -168,7 +169,7 @@ downloadandloaddepthanythingv2model_437 = (
 instructpixtopixconditioning = NODE_CLASS_MAPPINGS[
     "InstructPixToPixConditioning"
 ]()
-text_multiline_454 = text_multiline.text_multiline(text="FLUX_Redux")
+text_multiline_454 = NODE_CLASS_MAPPINGS["Text Multiline"].text_multiline(text="FLUX_Redux")
 clipvisionloader = NODE_CLASS_MAPPINGS["CLIPVisionLoader"]()
 
 #To be added to `model_loaders` as it loads a model
@@ -197,7 +198,11 @@ saveimage = NODE_CLASS_MAPPINGS["SaveImage"]()
 imagecrop = NODE_CLASS_MAPPINGS["ImageCrop+"]()
 
 #Add all the models that load a safetensors file
-model_loaders = [dualcliploader_357, vaeloader_359, unetloader_358, clipvisionloader_438, stylemodelloader_441, downloadandloaddepthanythingv2model_437]
+model_loaders = [dualcliploader.load_clip(
+    clip_name1="t5/t5xxl_fp16.safetensors",
+    clip_name2="clip_l.safetensors",
+    type="flux",
+), vaeloader_359, unetloader_358, clipvisionloader_438, stylemodelloader_441, downloadandloaddepthanythingv2model_437]
 
 # Check which models are valid and how to best load them
 valid_models = [
@@ -211,7 +216,6 @@ model_management.load_models_gpu(valid_models)
 
 @spaces.GPU(duration=60)
 def generate_image(prompt, structure_image, style_image, depth_strength, style_strength):
-    import_custom_nodes()
     with torch.inference_mode():
         
         intconstant_83 = intconstant.get_value(value=1024)
@@ -220,8 +224,16 @@ def generate_image(prompt, structure_image, style_image, depth_strength, style_s
 
         cr_clip_input_switch_319 = cr_clip_input_switch.switch(
             Input=1,
-            clip1=get_value_at_index(dualcliploader_357, 0),
-            clip2=get_value_at_index(dualcliploader_357, 0),
+            clip1=get_value_at_index(dualcliploader.load_clip(
+                clip_name1="t5/t5xxl_fp16.safetensors",
+                clip_name2="clip_l.safetensors",
+                type="flux",
+            ), 0),
+            clip2=get_value_at_index(dualcliploader.load_clip(
+                clip_name1="t5/t5xxl_fp16.safetensors",
+                clip_name2="clip_l.safetensors",
+                type="flux",
+            ), 0),
         )
 
         cliptextencode_174 = cliptextencode.encode(