vLLM团队推出首个“全模态”推理框架vLLM-Omni，将文本、图像、音频、视频的统一生成从概念验证变为可落地的代码。该框架采用解耦流水线架构，包括模态编码器（如ViT、Whisper）、LLM核心（沿用vLLM自回归引擎）和模态生成器（如DiT、Stable Diffusion），支持多模态输入与输出。开发者可通过GitHub和ReadTheDocs获取，并立即pip安装使用。
vLLM团队推出vLLM-Omni推理框架，支持文本、图像、音频和视频等多模态输入输出，旨在简化多模态推理过程，为新一代全模态模型提供强大支持。
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