diff --git a/comfy_extras/nodes_agp.py b/comfy_extras/nodes_apg.py
similarity index 70%
rename from comfy_extras/nodes_agp.py
rename to comfy_extras/nodes_apg.py
index 5441147c0..2d70808da 100644
--- a/comfy_extras/nodes_agp.py
+++ b/comfy_extras/nodes_apg.py
@@ -6,15 +6,15 @@ def project(v0, v1):
     v0_orthogonal = v0 - v0_parallel
     return v0_parallel, v0_orthogonal
 
-class AGP:
+class APG:
     @classmethod
     def INPUT_TYPES(s):
         return {
             "required": {
                 "model": ("MODEL",),
-                "eta": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
-                "norm_threshold": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 50.0, "step": 0.1}),
-                "momentum": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01}),
+                "eta": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01, "tooltip": "Controls the scale of the parallel guidance vector. Default CFG behavior at a setting of 1."}),
+                "norm_threshold": ("FLOAT", {"default": 5.0, "min": 0.0, "max": 50.0, "step": 0.1, "tooltip": "Normalize guidance vector to this value, normalization disable at a setting of 0."}),
+                "momentum": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip":"Controls a running average of guidance during diffusion, disabled at a setting of 0."}),
             }
         }
     RETURN_TYPES = ("MODEL",)
@@ -23,20 +23,21 @@ class AGP:
 
     def patch(self, model, eta, norm_threshold, momentum):
         running_avg = 0
-        prev_shape = None
-        
+        prev_sigma = None
+
         def pre_cfg_function(args):
-            nonlocal running_avg, prev_shape
+            nonlocal running_avg, prev_sigma
             
             cond = args["conds_out"][0]
             uncond = args["conds_out"][1]
+            sigma = args["sigma"][0]
+
+            if prev_sigma is not None and sigma > prev_sigma:
+                running_avg = 0
+            prev_sigma = sigma
             
             guidance = cond - uncond
             
-            if prev_shape is not None and guidance.shape != prev_shape:
-                running_avg = 0
-            prev_shape = guidance.shape
-            
             if momentum > 0:
                 if not torch.is_tensor(running_avg):
                     running_avg = guidance
@@ -64,9 +65,9 @@ class AGP:
         return (m,)
 
 NODE_CLASS_MAPPINGS = {
-    "AGP": AGP,
+    "APG": APG,
 }
 
 NODE_DISPLAY_NAME_MAPPINGS = {
-    "AGP": "Adaptive Gradient Projection",
+    "APG": "Adaptive Projected Guidance",
 }
\ No newline at end of file
diff --git a/nodes.py b/nodes.py
index 1b0c538d4..bd34b3b13 100644
--- a/nodes.py
+++ b/nodes.py
@@ -2261,7 +2261,7 @@ def init_builtin_extra_nodes():
         "nodes_optimalsteps.py",
         "nodes_hidream.py",
         "nodes_fresca.py",
-        "nodes_agp.py",
+        "nodes_apg.py",
         "nodes_preview_any.py",
         "nodes_ace.py",
     ]