Zing-0.5: Toward Playable Worlds with Real-Time Joint Action and Text Control
Zing-0.5 is a released 5B autoregressive world model enabling real-time keyboard and text control at 24 FPS for roughly $0.009 per stream-minute.
Zing-0.5 is a 5B autoregressive world model designed for playability, combining magnitude-aware keyboard inputs with temporally aligned text instructions in jointly annotated videos. It uses event-scale supervision via distribution-matching distillation from a segment-level teacher and four-step generation with context-preserving streaming for real-time 832x480 inference at 24 FPS. The model scores 81.0 overall and 88.5 consistency across 158 WBench Navigation cases, and the weights, inference code, and Zing-SGLang serving implementation are publicly released.
- Unified action and text conditioning for navigation and event control.
- Block-level causal student distilled from segment-level teacher.
- Estimated server cost about USD 0.009 per stream-minute.
- Demo shows text-directed event change during continued navigation.
Full article175 words · extracted from huggingface.co · click to collapse
We introduce Zing-0.5, a 5B autoregressive world model designed for playability: users can explore generated worlds, influence unfolding events, and respond to the resulting feedback through joint keyboard and online text control. Our approach brings together three technical contributions: (1) Unified action and text conditioning, combining magnitude-aware keyboard inputs with temporally aligned text instructions and jointly annotated videos to learn navigation and event control within the same sequence; (2) Event-scale supervision for incremental generation, using a segment-level teacher trained on connected multi-prompt videos to supervise a block-level causal student through distribution-matching distillation; and (3) Low-cost real-time interaction, combining four-step generation with context-preserving streaming to support 832 x 480 inference at 24 FPS at an estimated server rental cost of approximately USD 0.009 per stream-minute. Zing-0.5 achieves an overall score of 81.0 and a consistency score of 88.5 across 158 WBench Navigation cases. A joint-control demonstration shows a text-directed event change during continued navigation without restarting generation. We release the model weights, inference code, and Zing-SGLang serving implementation to support further work on playable generated worlds.
Text extracted automatically; images, tables and formatting may be missing. Original: https://huggingface.co/papers/2609.17909