Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models
Wan-Streamer is a native-streaming, end-to-end interactive foundation model designed for real-time, low-latency, full-duplex audio-visual interaction. It seamlessly models language, audio, and video within a single Transformer using block-causal attention for incremental streaming, without external modules. It achieves ~200ms model-side and ~550ms total interaction latency, enabling sub-second duplex communication.
[2606.25041] Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models
[Submitted on 23 Jun 2026]
Title:Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models
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Abstract:We present Wan-Streamer, a native-streaming, end-to-end interactive foundation model designed from the ground up for real-time, low-latency, full-duplex audio-visual interaction. Wan-Streamer seamlessly models language, audio, and video as both input and output within a single Transformer, where the sequence is represented as interleaved visual, audio, and text input tokens together with visual, audio, and text output tokens, coordinated by block-causal attention for incremental streaming. Unlike cascaded interactive systems that rely on separate VAD, ASR, language, TTS, audio-driven animation, or video-generation modules, Wan-Streamer does not rely on external language, speech, avatar, or video-generation modules: perception, reasoning, generation, response timing, turn management, and cross-modal synchronization are learned jointly within one unified model, reducing pipeline latency and error accumulation. To support natural audio-visual responsiveness, we redesign the entire stack around streamability, including causal encoders, causal decoders, block-causal attention, and low-latency multimodal token scheduling, enabling streaming units as short as 160 ms at 25 fps. Wan-Streamer achieves approximately 200 ms model-side response latency and approximately 550 ms total interaction latency when combined with 350 ms bidirectional network latency, supporting sub-second duplex audio-visual communication. These results position Wan-Streamer as a unified, end-to-end, multimodal interactive foundation model for low-latency streaming interaction.
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Subjects:
Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Graphics (cs.GR); Sound (cs.SD)
Cite as: arXiv:2606.25041 [cs.CV]
(or arXiv:2606.25041v1 [cs.CV] for this version)
https://doi.org/10.48550/arXiv.2606.25041
arXiv-issued DOI via DataCite (pending registration)
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From: Lianghua Huang Dr. [view email] [v1] Tue, 23 Jun 2026 18:01:03 UTC (3,818 KB)
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