diff --git a/mmdeploy/apis/pytorch2onnx.py b/mmdeploy/apis/pytorch2onnx.py
index 9f8e91f368..63bcb6a963 100644
--- a/mmdeploy/apis/pytorch2onnx.py
+++ b/mmdeploy/apis/pytorch2onnx.py
@@ -14,6 +14,7 @@ def torch2onnx(img: Any,
                deploy_cfg: Union[str, mmengine.Config],
                model_cfg: Union[str, mmengine.Config],
                model_checkpoint: Optional[str] = None,
+               append_input: list = None,
                device: str = 'cuda:0'):
     """Convert PyTorch model to ONNX model.
 
@@ -42,6 +43,7 @@ def torch2onnx(img: Any,
         model_cfg (str | mmengine.Config): Model config file or Config object.
         model_checkpoint (str): A checkpoint path of PyTorch model,
             defaults to `None`.
+        append_input (list): Additional inputs other than images, suitable for multimodal models such as text features of Grounded DINO.
         device (str): A string specifying device type, defaults to 'cuda:0'.
     """
 
@@ -68,6 +70,10 @@ def torch2onnx(img: Any,
 
     if isinstance(model_inputs, list) and len(model_inputs) == 1:
         model_inputs = model_inputs[0]
+    if isinstance(append_input, list):
+        temp = [model_inputs]
+        temp.extend(append_input)
+        model_inputs = temp
     data_samples = data['data_samples']
     input_metas = {'data_samples': data_samples, 'mode': 'predict'}