Image-Text-to-Text
Transformers
Safetensors
English
qwen2_5_vl
gui
agent
gui-grounding
reinforcement-learning
conversational
text-generation-inference
Instructions to use InfiX-ai/InfiGUI-G1-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InfiX-ai/InfiGUI-G1-3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="InfiX-ai/InfiGUI-G1-3B") 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 AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("InfiX-ai/InfiGUI-G1-3B") model = AutoModelForImageTextToText.from_pretrained("InfiX-ai/InfiGUI-G1-3B") 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?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use InfiX-ai/InfiGUI-G1-3B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "InfiX-ai/InfiGUI-G1-3B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "InfiX-ai/InfiGUI-G1-3B", "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/InfiX-ai/InfiGUI-G1-3B
- SGLang
How to use InfiX-ai/InfiGUI-G1-3B 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 "InfiX-ai/InfiGUI-G1-3B" \ --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": "InfiX-ai/InfiGUI-G1-3B", "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 "InfiX-ai/InfiGUI-G1-3B" \ --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": "InfiX-ai/InfiGUI-G1-3B", "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 InfiX-ai/InfiGUI-G1-3B with Docker Model Runner:
docker model run hf.co/InfiX-ai/InfiGUI-G1-3B
Improve model card: Add project page link and evaluation section, update citation
#2
by nielsr HF Staff - opened
This PR improves the model card for InfiGUI-G1-3B by:
- Adding a direct link to the project's official website (
https://osatlas.github.io/), which was previously missing, for easier access to resources. - Including the comprehensive "Evaluation" section from the upstream GitHub repository, providing users with instructions and details for reproducing the model's results.
- Correcting the author list in the BibTeX entry for the
InfiGUIAgentpaper to align with the official GitHub repository's citation information.
Please review and merge this PR if everything looks good.
SiriusL changed pull request status to merged