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ByteDance Seed: native multishot video training and accelerated inference

Contribution grade

Video foundation-model training systems · Human-designed research method or resource

Reference score65,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Jointly trained text-to-video and image-to-video tasks with native multishot support, combining curated caption data, video-specific post-training rewards and multistage inference distillation.

Scientific scope

Jointly trained text-to-video and image-to-video tasks with native multishot support, combining curated caption data, video-specific post-training rewards and multistage inference distillation. Diffusion, RLHF and distillation have predecessors. Acquired delta is documented multishot/task integration, not the later Seedance1.5 native-audio system. Source-specific speed/leaderboard figures are not exported as current or universal results.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Diffusion, RLHF and distillation have predecessors. Acquired delta is documented multishot/task integration, not the later Seedance1.5 native-audio system. Source-specific speed/leaderboard figures are not exported as current or universal results.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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