vLLM-Omni links real-time image generation and asynchronous video generation on SageMaker
AWS published a September 28 workflow for image and video generation with vLLM-Omni on Amazon SageMaker AI. Two endpoints are deployed from the same Deep Learning Container: FLUX.2-klein-4B runs as a real-time image endpoint, while Wan2.1-VACE-1.3B runs asynchronously for video. The generated still image and a motion prompt are submitted to the video endpoint, and the resulting MP4 is stored in Amazon S3, with an optional Streamlit interface for demonstration. The shared container simplifies framework packaging, but production teams still need separate capacity, queue, timeout, moderation, content-rights, retention, and idle-cost controls for the real-time and asynchronous stages, plus traceability from every final video back to its prompts and source asset.
