[Fix] Fixing the multi-images error for llava-onevision (#1205)

examples/runtime/llava_onevision/http_llava_onevision_test.py

@@ -78,6 +78,51 @@ def image_stream_request_test(client):
     print("-" * 30)
 
 
+def multi_image_stream_request_test(client):
+    print(
+        "----------------------Multi-Images Stream Request Test----------------------"
+    )
+    stream_request = client.chat.completions.create(
+        model="default",
+        messages=[
+            {
+                "role": "user",
+                "content": [
+                    {
+                        "type": "image_url",
+                        "image_url": {
+                            "url": "https://raw.githubusercontent.com/sgl-project/sglang/main/assets/logo.png"
+                        },
+                    },
+                    {
+                        "type": "image_url",
+                        "image_url": {
+                            "url": "https://raw.githubusercontent.com/sgl-project/sglang/main/test/lang/example_image.png"
+                        },
+                    },
+                    {
+                        "type": "text",
+                        "text": "I have shown you two images. Please describe the two images to me.",
+                    },
+                ],
+            },
+        ],
+        temperature=0.7,
+        max_tokens=1024,
+        stream=True,
+    )
+    stream_response = ""
+
+    for chunk in stream_request:
+        if chunk.choices[0].delta.content is not None:
+            content = chunk.choices[0].delta.content
+            stream_response += content
+            sys.stdout.write(content)
+            sys.stdout.flush()
+
+    print("-" * 30)
+
+
 def video_stream_request_test(client, video_path):
     print("------------------------Video Stream Request Test----------------------")
     messages = prepare_video_messages(video_path)
@@ -209,6 +254,7 @@ def main():
     client = create_openai_client("http://127.0.0.1:30000/v1")
 
     image_stream_request_test(client)
+    multi_image_stream_request_test(client)
     video_stream_request_test(client, video_path)
     image_speed_test(client)
     video_speed_test(client, video_path)

python/sglang/srt/managers/tokenizer_manager.py

@@ -744,7 +744,9 @@ def get_pixel_values(
                     image,
                     tuple(int(x * 255) for x in processor.image_processor.image_mean),
                 )
-                pixel_values = processor.image_processor(image)["pixel_values"][0]
+                pixel_values = processor.image_processor(image.convert("RGB"))[
+                    "pixel_values"
+                ][0]
             elif image_aspect_ratio == "anyres" or "anyres_max" in image_aspect_ratio:
                 pixel_values = process_anyres_image(
                     image, processor.image_processor, image_grid_pinpoints

test/srt/test_vision_openai_server.py

@@ -74,6 +74,48 @@ class TestOpenAIVisionServer(unittest.TestCase):
         assert response.usage.completion_tokens > 0
         assert response.usage.total_tokens > 0
 
+    def test_mult_images_chat_completion(self):
+        client = openai.Client(api_key=self.api_key, base_url=self.base_url)
+
+        response = client.chat.completions.create(
+            model="default",
+            messages=[
+                {
+                    "role": "user",
+                    "content": [
+                        {
+                            "type": "image_url",
+                            "image_url": {
+                                "url": "https://raw.githubusercontent.com/sgl-project/sglang/main/assets/logo.png"
+                            },
+                        },
+                        {
+                            "type": "image_url",
+                            "image_url": {
+                                "url": "https://raw.githubusercontent.com/sgl-project/sglang/main/test/lang/example_image.png"
+                            },
+                        },
+                        {
+                            "type": "text",
+                            "text": "I have shown you two images. Please describe the two images to me.",
+                        },
+                    ],
+                },
+            ],
+            temperature=0,
+        )
+
+        assert response.choices[0].message.role == "assistant"
+        text = response.choices[0].message.content
+        assert isinstance(text, str)
+        assert "man" in text or "cab" in text, text
+        assert "logo" in text, text
+        assert response.id
+        assert response.created
+        assert response.usage.prompt_tokens > 0
+        assert response.usage.completion_tokens > 0
+        assert response.usage.total_tokens > 0
+
     def prepare_video_messages(self, video_path):
         max_frames_num = 32
         vr = VideoReader(video_path, ctx=cpu(0))