Update workflows, fix IS_CHANGED

nodes.py

@@ -250,6 +250,7 @@ class ADMD_InitializeTraining:
             [   
                 'Lion',
                 'AdamW',
+                'prodigy'
             ], {
                "default": 'Lion'
             }),
@@ -336,6 +337,14 @@ class ADMD_InitializeTraining:
             if optimization_method == "AdamW":   
                 print("Using AdamW optimizer for training") 
                 optimizer = torch.optim.AdamW
+            elif optimization_method == "Prodigy":
+                try:
+                    import prodigyopt
+                except ImportError:
+                    raise ImportError("Prodigy not installed")
+
+                print(f"use Prodigy optimizer")
+                optimizer = prodigyopt.Prodigy
             else:
                 print("Using Lion optimizer for training")
                 optimizer = Lion
@@ -404,12 +413,7 @@ class ADMD_InitializeTraining:
             lr_scheduler_spatial_list.append(lr_scheduler_spatial)
            
             # Support mixed-precision training
-            if 'scaler' not in globals():
             scaler = torch.cuda.amp.GradScaler()
-                print("initialize scaler")
-            else:
-                scaler.reset()
-                print("reset scaler")
 
         admd_pipeline = {
             "optimizer_temporal": optimizer_temporal,
@@ -584,7 +588,7 @@ class ADMD_DiffusersLoader:
 class ADMD_CheckpointLoader:
     @classmethod
     def IS_CHANGED(s):
-        return ""
+        return float("nan")
     @classmethod
     def INPUT_TYPES(cls):
 
@@ -713,7 +717,7 @@ class ADMD_CheckpointLoader:
 class ADMD_ComfyModelLoader:
     @classmethod
     def IS_CHANGED(s):
-        return ""
+        return float("nan")
     @classmethod
     def INPUT_TYPES(cls):