vllm-project/vllm-omni
A framework for efficient model inference with omni-modality models
Python6.8K stars1.7K forks+71 today
Topics
#diffusion#inference#model-serving#pytorch#transformer#audio-generation#image-generation#multimodal#video-generation#world-model
What it does
vLLM-Omni is a Python framework that extends the capabilities of vLLM to support efficient inference and serving for omni-modality models, including text, image, video, and audio data. It matters because it enables developers to work with multi-modal AI more effectively.
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Tracking
- Last trending
- 2026-04-25
Creator kit
Hook
🚀 Dive into the future of omni-modality model inference with vLLM-Omni, now supporting text, image, video & audio data processing! #vllmOmni
Content angles
- How to set up and use vLLM-Omni for efficient multimodal AI
- A deep dive into the architecture of vLLM-Omni
- Comparing vLLM-Omni with other multi-modal frameworks
Who should care
AI researchers, developers working on multi-modal models, data scientists interested in omni-modality processing