diff --git a/vllm_omni/diffusion/models/qwen_image/qwen_image_transformer.py b/vllm_omni/diffusion/models/qwen_image/qwen_image_transformer.py
index a3cc6cbbb67..5f2b8c68a23 100644
--- a/vllm_omni/diffusion/models/qwen_image/qwen_image_transformer.py
+++ b/vllm_omni/diffusion/models/qwen_image/qwen_image_transformer.py
@@ -1,8 +1,8 @@
 # SPDX-License-Identifier: Apache-2.0
 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 
-import functools
 from collections.abc import Iterable
+from functools import lru_cache
 from math import prod
 from typing import Any
 
@@ -249,7 +249,7 @@ def forward(self, video_fhw, txt_seq_lens, device):
 
         return vid_freqs, txt_freqs
 
-    @functools.cache
+    @lru_cache(maxsize=16)
     def _compute_video_freqs(self, frame, height, width, idx=0):
         seq_lens = frame * height * width
         freqs_pos = self.pos_freqs.split([x // 2 for x in self.axes_dim], dim=1)
@@ -268,7 +268,7 @@ def _compute_video_freqs(self, frame, height, width, idx=0):
         freqs = torch.cat([freqs_frame, freqs_height, freqs_width], dim=-1).reshape(seq_lens, -1)
         return freqs.clone().contiguous()
 
-    @functools.cache
+    @lru_cache(maxsize=16)
     def _compute_condition_freqs(self, frame, height, width):
         seq_lens = frame * height * width
         freqs_pos = self.pos_freqs.split([x // 2 for x in self.axes_dim], dim=1)
@@ -311,7 +311,6 @@ def __init__(self, theta: int, axes_dim: list[int], scale_rope=False):
             ],
             dim=1,
         )
-        self.rope_cache = {}
 
         # DO NOT USING REGISTER BUFFER HERE, IT WILL CAUSE COMPLEX NUMBERS LOSE ITS IMAGINARY PART
         self.scale_rope = scale_rope
@@ -349,14 +348,7 @@ def forward(self, video_fhw, txt_seq_lens, device):
         max_vid_index = 0
         for idx, fhw in enumerate(video_fhw):
             frame, height, width = fhw
-            rope_key = f"{idx}_{height}_{width}"
-
-            if not torch.compiler.is_compiling():
-                if rope_key not in self.rope_cache:
-                    self.rope_cache[rope_key] = self._compute_video_freqs(frame, height, width, idx)
-                video_freq = self.rope_cache[rope_key]
-            else:
-                video_freq = self._compute_video_freqs(frame, height, width, idx)
+            video_freq = self._compute_video_freqs(frame, height, width, idx)
             video_freq = video_freq.to(device)
             vid_freqs.append(video_freq)
 
@@ -371,7 +363,7 @@ def forward(self, video_fhw, txt_seq_lens, device):
 
         return vid_freqs, txt_freqs
 
-    @functools.cache
+    @lru_cache(maxsize=16)
     def _compute_video_freqs(self, frame, height, width, idx=0):
         seq_lens = frame * height * width
         freqs_pos = self.pos_freqs.split([x // 2 for x in self.axes_dim], dim=1)