diff --git a/fastdeploy/worker/gpu_model_runner.py b/fastdeploy/worker/gpu_model_runner.py
index 2dfe1021c..af567cba1 100644
--- a/fastdeploy/worker/gpu_model_runner.py
+++ b/fastdeploy/worker/gpu_model_runner.py
@@ -1594,6 +1594,10 @@ class GPUModelRunner(ModelRunnerBase):
         In FastDeploy, almost all input tensors have a buffer. So, just keep the buffer clean when replaying the CUDA graph with the padded batch.
         """
         # In init_attention_metadata, the decode buffer has already been cleared
+
+        # To adapt to CUDA Graph, keep the forward pass at the maximum batch size.
+        if self.use_cudagraph:
+            self.forward_meta.seq_lens_this_time = self.seq_lens_this_time_buffer
         return
 
     def _init_image_preprocess(self) -> None: