Lu-vennv2a4.mp4 Apr 2026

: By using context-causal attention, the model supports efficient long-form generation, making it practical for creating extended visual narratives.

: It facilitates a "director-like" workflow where users can progressively develop content shot-by-shot, using previously generated footage as a reference for the next segment. lu-VEnnv2a4.mp4

According to the research published on arXiv , the key "long features" enabled by this model include: : By using context-causal attention, the model supports

: The model can extend a single shot to minute-long durations by auto-regressively generating 10-second segments that seamlessly connect without visible cuts. : By using context-causal attention

[2503.10589] Long Context Tuning for Video Generation - arXiv