diff --git a/vllm/model_executor/models/llava.py b/vllm/model_executor/models/llava.py
index e83dfd320bb6..0c0d8e109c92 100644
--- a/vllm/model_executor/models/llava.py
+++ b/vllm/model_executor/models/llava.py
@@ -783,15 +783,19 @@ def get_multimodal_embeddings(self, **kwargs) -> Optional[NestedTensors]:
         if image_input is None:
             return None
         vision_embeddings = self._process_image_input(image_input)
-        if kwargs.get("v0_path", False):
+
+        if kwargs.get("v0_path", False) or \
+            image_input.get("feat_is_patch") is None or \
+                image_input.get("embed_is_patch") is None:
+            # The path is used for pixtral (V0 only) and llava (V0/V1)
             return vision_embeddings
-        else:
-            nested_emb = [
-                self._get_mm_embeds(*args) for args in zip(
-                    vision_embeddings, image_input["feat_is_patch"],
-                    image_input["num_crops"], image_input["embed_is_patch"])
-            ]
-            return flatten_2d_lists(nested_emb)
+
+        nested_emb = [
+            self._get_mm_embeds(*args) for args in zip(
+                vision_embeddings, image_input["feat_is_patch"],
+                image_input["num_crops"], image_input["embed_is_patch"])
+        ]
+        return flatten_2d_lists(nested_emb)
 
     def get_input_embeddings(
         self,