• Home
  • Technology
  • Gaming
  • Entertainment
  • World & Business
  • Science
  • Sports
  • AI
HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
    • HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
    • Home
    • Technology
    • Gaming
    • Entertainment
    • World & Business
    • Science
    • Sports
    • AI
    AI
    Announcement

    LongLive-Plug paper: Once-for-All Distillation for Video Generation

    A post links to the paper’s Hugging Face page and includes a video link.

    AK
    SH
    YC
    3 Sources, ,

    TLDR

    A post shares LongLive-Plug, a paper titled “Once-for-All Distillation for Video Generation,” with links to its Hugging Face page and a video.

    Combined views

    8.7K

    3 Sources, first seen 14h ago

    45 likes

    Combined views

    8.7K

    3 Sources, first seen 14h ago

    45 likes
    14h ago
    first seen 14h ago
    8 comments
    23 saves
    9 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    Featured Source
    8 comments
    23 saves
    9 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    Today's Rank

    —

    Not ranked yet

    Today's Rank

    —

    Not ranked yet

    3 Sources

    @yukangchen_🚀 Introducing LongLive-Plug: train one plug-and-play acceleration LoRA, then reuse it across 54 downstream video tasks—from world models and robotics to video editing—without re-distilling every model. Open source, with support for any models based on MiniMax-H3 or Wan 5B/14B. 🔗 https://nvlabs.github.io/LongLive/LongLive-Plug/
    @_akhaliqLongLive-Plug Once-for-All Distillation for Video Generation paper: https://huggingface.co/papers/2609.38154
    @songhan_mitRT @yukangchen_: 🚀 Introducing LongLive-Plug: train one plug-and-play acceleration LoRA, then reuse it across 54 downstream video tasks—fro…

    3 Sources

    @yukangchen_🚀 Introducing LongLive-Plug: train one plug-and-play acceleration LoRA, then reuse it across 54 downstream video tasks—from world models and robotics to video editing—without re-distilling every model. Open source, with support for any models based on MiniMax-H3 or Wan 5B/14B. 🔗 https://nvlabs.github.io/LongLive/LongLive-Plug/
    @_akhaliqLongLive-Plug Once-for-All Distillation for Video Generation paper: https://huggingface.co/papers/2609.38154
    @songhan_mitRT @yukangchen_: 🚀 Introducing LongLive-Plug: train one plug-and-play acceleration LoRA, then reuse it across 54 downstream video tasks—fro…