diff --git a/nodes.py b/nodes.py
index f7a4278..16d39d6 100644
--- a/nodes.py
+++ b/nodes.py
@@ -302,6 +302,7 @@ class DynamiCrafterBatchInterpolation:
                     ], {
                         "default": 'auto'
                     }),
+            "cut_near_keyframes": ("INT", {"default": 0, "min": 0, "max": 5, "step": 1}),
             },
         }
 
@@ -310,7 +311,7 @@ class DynamiCrafterBatchInterpolation:
     FUNCTION = "process"
     CATEGORY = "DynamiCrafterWrapper"
 
-    def process(self, model, images, prompt, cfg, steps, eta, seed, fs, keep_model_loaded, frames, vae_dtype):
+    def process(self, model, images, prompt, cfg, steps, eta, seed, fs, keep_model_loaded, frames, vae_dtype, cut_near_keyframes):
         assert images.shape[0] > 1, "DynamiCrafterBatchInterpolation needs at least 2 images"
         device = mm.get_torch_device()
         mm.unload_all_models()
@@ -453,6 +454,17 @@ class DynamiCrafterBatchInterpolation:
                 out_video = F.interpolate(out_video.permute(0, 3, 1, 2), size=(orig_H, orig_W), mode="bicubic")
                 out_video = video.permute(0, 2, 3, 1)
 
+            # should we trim middle keyframes?
+            if cut_near_keyframes > 0:
+                already_deleted = 0
+                for i in range(len(images) - 2):
+                    old_size = out_video.shape[0]
+                    keyframe_index = (i + 1) * frames - already_deleted
+                    start_index = keyframe_index - (cut_near_keyframes // 2)
+                    end_index = start_index + cut_near_keyframes
+                    out_video = torch.cat([out_video[:start_index], out_video[end_index:]], dim=0)
+                    already_deleted += old_size - out_video.shape[0]
+
             last_image = out_video[-1].unsqueeze(0)
             return (out_video, last_image)