Image-Text-to-Text
Transformers
Safetensors
diffusionvl_qwenvl
text-generation
diffusion
vision-language
qwen2.5-vl
conversational
custom_code
Instructions to use hustvl/DiffusionVL-Qwen2.5VL-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hustvl/DiffusionVL-Qwen2.5VL-3B 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-3B", 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-3B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use hustvl/DiffusionVL-Qwen2.5VL-3B 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-3B" # 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-3B", "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-3B
- SGLang
How to use hustvl/DiffusionVL-Qwen2.5VL-3B 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-3B" \ --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-3B", "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-3B" \ --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-3B", "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-3B with Docker Model Runner:
docker model run hf.co/hustvl/DiffusionVL-Qwen2.5VL-3B
Add pipeline tag and library name
#1
by nielsr HF Staff - opened
This PR improves the model card by adding the library_name: transformers and pipeline_tag: image-text-to-text to the metadata.
The library_name will enable the "Use in Transformers" widget on the model page, providing a quick code snippet for users. The pipeline_tag will ensure the model is correctly categorized on the Hugging Face Hub, making it easier for users to discover models performing similar tasks.
Please review and merge this PR if everything looks good.
xiazhi changed pull request status to merged