Instructions to use hustvl/DiffusionVL-Qwen2.5VL-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use hustvl/DiffusionVL-Qwen2.5VL-7B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="hustvl/DiffusionVL-Qwen2.5VL-7B", trust_remote_code=True)
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("hustvl/DiffusionVL-Qwen2.5VL-7B", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use hustvl/DiffusionVL-Qwen2.5VL-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "hustvl/DiffusionVL-Qwen2.5VL-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "hustvl/DiffusionVL-Qwen2.5VL-7B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/hustvl/DiffusionVL-Qwen2.5VL-7B

SGLang

How to use hustvl/DiffusionVL-Qwen2.5VL-7B with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "hustvl/DiffusionVL-Qwen2.5VL-7B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "hustvl/DiffusionVL-Qwen2.5VL-7B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "hustvl/DiffusionVL-Qwen2.5VL-7B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "hustvl/DiffusionVL-Qwen2.5VL-7B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use hustvl/DiffusionVL-Qwen2.5VL-7B with Docker Model Runner:
```
docker model run hf.co/hustvl/DiffusionVL-Qwen2.5VL-7B
```

Add pipeline tag, library name, and Hugging Face paper link

by nielsr HF Staff - opened Dec 18, 2025

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

-1

nielsr

Dec 18, 2025

This PR enhances the model card by:

Adding pipeline_tag: image-text-to-text to improve discoverability on the Hugging Face Hub, as the model takes images and text inputs to generate text.
Adding library_name: transformers to enable the automated "how to use" widget, as evidenced by the provided sample usage code snippet leveraging the transformers library.
Including a direct link to the Hugging Face paper page (https://huggingface.co/papers/2512.15713) for easy access to the associated research on the Hub.

The existing license and tags remain unchanged. The sample usage section is already present and correctly formatted.

Add pipeline tag, library name, and Hugging Face paper linke6d54650

xiazhi changed pull request status to merged Dec 19, 2025

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