NVIDIA's LongLive-Plug: Distill Once, Deploy Training-Free Across 54 Downstream Video Models
nvidia · hf · 2026-09-30
NVIDIA introduces LongLive-Plug, a once-for-all distillation framework for video diffusion models that trains reusable capabilities—single-pass CFG, few-step sampling, and long-context error correction—as LoRA adapters on a base model. The adapters deploy training-free to compatible downstream models, even those adding conditioning branches or expanded output channels. The approach is validated on 54 downstream models across three backbone families and eight task categories, including world modeling, robotics, editing, and multimodal generation, eliminating per-target retraining.
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