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[chore] Move the rest of wikimedia url to S3 (#28921)

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Signed-off-by: Kevin H. Luu <khluu000@gmail.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
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Kevin H. Luu 2025-11-18 09:44:18 -08:00 committed by GitHub
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2
docs/features/multimodal_inputs.md
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@ -483,7 +483,7 @@ Then, you can use the OpenAI client as follows:
) )
# Single-image input inference # Single-image input inference
image_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" image_url = "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
chat_response = client.chat.completions.create( chat_response = client.chat.completions.create(
model="microsoft/Phi-3.5-vision-instruct", model="microsoft/Phi-3.5-vision-instruct",

2
docs/serving/openai_compatible_server.md
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@ -293,7 +293,7 @@ and passing a list of `messages` in the request. Refer to the examples below for
base_url="http://localhost:8000/v1", base_url="http://localhost:8000/v1",
api_key="EMPTY", api_key="EMPTY",
) )
image_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" image_url = "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
response = create_chat_embeddings( response = create_chat_embeddings(
client, client,

4
examples/offline_inference/vision_language_pooling.py
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@ -266,7 +266,7 @@ def get_query(modality: QueryModality):
return ImageQuery( return ImageQuery(
modality="image", modality="image",
image=fetch_image( image=fetch_image(
"https://upload.wikimedia.org/wikipedia/commons/thumb/4/47/American_Eskimo_Dog.jpg/360px-American_Eskimo_Dog.jpg" # noqa: E501 "https://vllm-public-assets.s3.us-west-2.amazonaws.com/multimodal_asset/eskimo.jpg" # noqa: E501
), ),
) )
@ -275,7 +275,7 @@ def get_query(modality: QueryModality):
modality="text+image", modality="text+image",
text="A cat standing in the snow.", text="A cat standing in the snow.",
image=fetch_image( image=fetch_image(
"https://upload.wikimedia.org/wikipedia/commons/thumb/b/b6/Felis_catus-cat_on_snow.jpg/179px-Felis_catus-cat_on_snow.jpg" # noqa: E501 "https://vllm-public-assets.s3.us-west-2.amazonaws.com/multimodal_asset/cat_snow.jpg" # noqa: E501
), ),
) )

2
examples/online_serving/openai_chat_completion_client_for_multimodal.py
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@ -66,7 +66,7 @@ def run_text_only(model: str, max_completion_tokens: int) -> None:
# Single-image input inference # Single-image input inference
def run_single_image(model: str, max_completion_tokens: int) -> None: def run_single_image(model: str, max_completion_tokens: int) -> None:
## Use image url in the payload ## Use image url in the payload
image_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" image_url = "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
chat_completion_from_url = client.chat.completions.create( chat_completion_from_url = client.chat.completions.create(
messages=[ messages=[
{ {

2
examples/online_serving/pooling/openai_chat_embedding_client_for_multimodal.py
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@ -21,7 +21,7 @@ from PIL import Image
openai_api_key = "EMPTY" openai_api_key = "EMPTY"
openai_api_base = "http://localhost:8000/v1" openai_api_base = "http://localhost:8000/v1"
image_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" image_url = "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
def create_chat_embeddings( def create_chat_embeddings(

8
tests/entrypoints/openai/test_vision.py
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@ -17,10 +17,10 @@ MAXIMUM_IMAGES = 2
# Test different image extensions (JPG/PNG) and formats (gray/RGB/RGBA) # Test different image extensions (JPG/PNG) and formats (gray/RGB/RGBA)
TEST_IMAGE_ASSETS = [ TEST_IMAGE_ASSETS = [
"2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", # "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" "2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", # "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
"Grayscale_8bits_palette_sample_image.png", # "https://upload.wikimedia.org/wikipedia/commons/f/fa/Grayscale_8bits_palette_sample_image.png", "Grayscale_8bits_palette_sample_image.png", # "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/Grayscale_8bits_palette_sample_image.png",
"1280px-Venn_diagram_rgb.svg.png", # "https://upload.wikimedia.org/wikipedia/commons/thumb/9/91/Venn_diagram_rgb.svg/1280px-Venn_diagram_rgb.svg.png", "1280px-Venn_diagram_rgb.svg.png", # "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/1280px-Venn_diagram_rgb.svg.png",
"RGBA_comp.png", # "https://upload.wikimedia.org/wikipedia/commons/0/0b/RGBA_comp.png", "RGBA_comp.png", # "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/RGBA_comp.png",
] ]
EXPECTED_MM_BEAM_SEARCH_RES = [ EXPECTED_MM_BEAM_SEARCH_RES = [

8
tests/entrypoints/pooling/openai/test_vision_embedding.py
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@ -19,10 +19,10 @@ assert vlm2vec_jinja_path.exists()
# Test different image extensions (JPG/PNG) and formats (gray/RGB/RGBA) # Test different image extensions (JPG/PNG) and formats (gray/RGB/RGBA)
TEST_IMAGE_ASSETS = [ TEST_IMAGE_ASSETS = [
"2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", # "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" "2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", # "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
"Grayscale_8bits_palette_sample_image.png", # "https://upload.wikimedia.org/wikipedia/commons/f/fa/Grayscale_8bits_palette_sample_image.png", "Grayscale_8bits_palette_sample_image.png", # "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/Grayscale_8bits_palette_sample_image.png",
"1280px-Venn_diagram_rgb.svg.png", # "https://upload.wikimedia.org/wikipedia/commons/thumb/9/91/Venn_diagram_rgb.svg/1280px-Venn_diagram_rgb.svg.png", "1280px-Venn_diagram_rgb.svg.png", # "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/1280px-Venn_diagram_rgb.svg.png",
"RGBA_comp.png", # "https://upload.wikimedia.org/wikipedia/commons/0/0b/RGBA_comp.png", "RGBA_comp.png", # "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/RGBA_comp.png",
] ]

2
tests/models/language/pooling/test_mm_classifier_conversion.py
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@ -75,7 +75,7 @@ def test_gemma_multimodal(
{ {
"type": "image_url", "type": "image_url",
"image_url": { "image_url": {
"url": "https://upload.wikimedia.org/wikipedia/commons/c/c6/Set_of_fourteen_side_chairs_MET_DP110780.jpg" "url": "https://vllm-public-assets.s3.us-west-2.amazonaws.com/multimodal_asset/red_chair.jpg"
}, },
}, },
{"type": "text", "text": "A fine 19th century piece of furniture."}, {"type": "text", "text": "A fine 19th century piece of furniture."},

8
tests/multimodal/test_utils.py
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@ -16,10 +16,10 @@ from vllm.multimodal.utils import MediaConnector, argsort_mm_positions
# Test different image extensions (JPG/PNG) and formats (gray/RGB/RGBA) # Test different image extensions (JPG/PNG) and formats (gray/RGB/RGBA)
TEST_IMAGE_ASSETS = [ TEST_IMAGE_ASSETS = [
"2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", # "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" "2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", # "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
"Grayscale_8bits_palette_sample_image.png", # "https://upload.wikimedia.org/wikipedia/commons/f/fa/Grayscale_8bits_palette_sample_image.png", "Grayscale_8bits_palette_sample_image.png", # "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/Grayscale_8bits_palette_sample_image.png",
"1280px-Venn_diagram_rgb.svg.png", # "https://upload.wikimedia.org/wikipedia/commons/thumb/9/91/Venn_diagram_rgb.svg/1280px-Venn_diagram_rgb.svg.png", "1280px-Venn_diagram_rgb.svg.png", # "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/1280px-Venn_diagram_rgb.svg.png",
"RGBA_comp.png", # "https://upload.wikimedia.org/wikipedia/commons/0/0b/RGBA_comp.png", "RGBA_comp.png", # "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/RGBA_comp.png",
] ]
TEST_VIDEO_URLS = [ TEST_VIDEO_URLS = [

2
tests/utils.py
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@ -676,7 +676,7 @@ def compare_all_settings(
results += _test_image_text( results += _test_image_text(
client, client,
model, model,
"https://upload.wikimedia.org/wikipedia/commons/0/0b/RGBA_comp.png", "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/RGBA_comp.png",
) )
elif method == "encode": elif method == "encode":
results += _test_embeddings(client, model, prompt) results += _test_embeddings(client, model, prompt)

8
tests/v1/entrypoints/openai/serving_responses/test_image.py
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@ -15,10 +15,10 @@ MODEL_NAME = "Qwen/Qwen2.5-VL-3B-Instruct"
MAXIMUM_IMAGES = 2 MAXIMUM_IMAGES = 2
# Test different image extensions (JPG/PNG) and formats (gray/RGB/RGBA) # Test different image extensions (JPG/PNG) and formats (gray/RGB/RGBA)
TEST_IMAGE_ASSETS = [ TEST_IMAGE_ASSETS = [
"2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", # "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" "2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", # "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
"Grayscale_8bits_palette_sample_image.png", # "https://upload.wikimedia.org/wikipedia/commons/f/fa/Grayscale_8bits_palette_sample_image.png", "Grayscale_8bits_palette_sample_image.png", # "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/Grayscale_8bits_palette_sample_image.png",
"1280px-Venn_diagram_rgb.svg.png", # "https://upload.wikimedia.org/wikipedia/commons/thumb/9/91/Venn_diagram_rgb.svg/1280px-Venn_diagram_rgb.svg.png", "1280px-Venn_diagram_rgb.svg.png", # "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/1280px-Venn_diagram_rgb.svg.png",
"RGBA_comp.png", # "https://upload.wikimedia.org/wikipedia/commons/0/0b/RGBA_comp.png", "RGBA_comp.png", # "https://vllm-public-assets.s3.us-west-2.amazonaws.com/vision_model_images/RGBA_comp.png",
] ]