diff --git a/inference.py b/inference.py
index 0ea7b65..a550c20 100644
--- a/inference.py
+++ b/inference.py
@@ -58,22 +58,12 @@ class BiMVFIModel:
         img0 = frame0.to(device)
         img1 = frame1.to(device)
 
-        _, _, h, w = img0.shape
-        if h >= 2160:
-            pyr_level = 7
-        elif h >= 1080:
-            pyr_level = 6
-        elif h >= 540:
-            pyr_level = 5
-        else:
-            pyr_level = self.pyr_level
-
         time_step_tensor = torch.tensor([time_step], device=device).view(1, 1, 1, 1)
 
         result_dict = self.model(
             img0=img0, img1=img1,
             time_step=time_step_tensor,
-            pyr_level=pyr_level,
+            pyr_level=self.pyr_level,
         )
 
         interp = result_dict["imgt_pred"]
diff --git a/nodes.py b/nodes.py
index da5d233..4f325a9 100644
--- a/nodes.py
+++ b/nodes.py
@@ -59,7 +59,7 @@ class LoadBIMVFIModel:
                 }),
                 "pyr_level": ("INT", {
                     "default": 3, "min": 3, "max": 7, "step": 1,
-                    "tooltip": "Pyramid levels for coarse-to-fine processing. Only used for <540p. Higher res auto-selects: 540p=5, 1080p=6, 4K=7. More levels = captures larger motion but slower.",
+                    "tooltip": "Pyramid levels for coarse-to-fine processing. More levels = captures larger motion but slower. Recommended: 3-5 for <540p, 5-6 for 1080p, 6-7 for 4K.",
                 }),
             }
         }