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Long video generation is a systems problem. Introducing LongLive-2.0 from NVIDIA Research: an end-to-end NVFP4 training and inference system for long video generation. Low-precision deployment often relies on post-training quantization, creating a gap between how models are trained and how they run. LongLive-2.0 aligns NVFP4-aware training, distillation, and W4A4... show more

NVIDIA AI

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60,715 次观看 • 5 个月前 •via X (Twitter)

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24 条评论

NVIDIA AI 的头像

NVIDIA AI5 个月前

A closer look at LongLive-2.0: • Generates long video at 720p • Preserves subject and background consistency across multi-shot sequences • Able to switch prompts at chunk boundaries

NVIDIA AI 的头像

NVIDIA AI5 个月前

You can find the full project including paper, code, models, and demos here:

Ahmad 的头像

Ahmad5 个月前

Niceee, new toy for me to play with on the GPUs over the weekend :D

mr_r0b0t 的头像

mr_r0b0t5 个月前

@SamJWasserman don’t miss this 👀

micmann.eth 的头像

micmann.eth5 个月前

This is the part most people miss with video AI: the bottleneck is not just model quality, it is inference cost and memory. NVFP4-aware training matters if it makes longer generation practical in real production workflows.

Experiencer Lens 的头像

Experiencer Lens5 个月前

@grok explain this to me. Is this a new AI model?

Beginnersblog 的头像

Beginnersblog5 个月前

How long can I make a video?

Markets & Mayhem 的头像

Markets & Mayhem5 个月前

Very cool.

Paul Lu 的头像

Paul Lu5 个月前

Useful framing long video is now a full-stack inference problem. The hard product layer is keeping control latency and review stable as context grows not just generating a nicer first clip.

James Clawn 的头像

James Clawn5 个月前

What happens to low-precision deployment once the workflow leaves the happy case? That is usually where small assumptions start compounding.

Neha Singh 的头像

Neha Singh5 个月前

Aligned NVFP4 Long Video

Aero - AI & Crypto 的头像

Aero - AI & Crypto5 个月前

Image Generation already is agentic. We need video to become agentic. That's a system.

Subhan Tariq 的头像

Subhan Tariq5 个月前

the AI industry really went from “can it generate 3 seconds” to optimizing end-to-end infrastructure for movie-length outputs in like 14 months

Shara 的头像

Shara5 个月前

Long video generation as a systems problem with LongLive-2.0 NVFP4 training is the infrastructure story

Naveen 的头像

Naveen5 个月前

Love how you're tackling long video generation as a systems problem, NVIDIA Research is crushing it with LongLive-2.0

Alberto Vélez 的头像

Alberto Vélez5 个月前

slop

Sumit Kumar 的头像

Sumit Kumar5 个月前

“Long video generation is a systems problem” is such an important framing. A lot of progress now is less about bigger models and more about optimizing the entire training → inference pipeline efficiently.

Subhan Tariq 的头像

Subhan Tariq5 个月前

“long video generation is a systems problem” is researcher code for “the GPUs were fighting for their lives”

Geraldo Pena 的头像

Geraldo Pena5 个月前

👏🏻

Alice The Ai Expert 的头像

Alice The Ai Expert5 个月前

Smart systems-level improvement

Shivam Kumar 的头像

Shivam Kumar5 个月前

Benchmark of LTX 2.3 Video with native audio generation model in DGX Spark System

DrSadek 🪶 的头像

DrSadek 🪶5 个月前

did you guys vibe code this website?

Inflectiv AI ⧉ 的头像

Inflectiv AI ⧉5 个月前

This advancement from NVIDIA Research solves key challenges in creating longer AI videos. It aligns training and inference in low-precision formats to achieve better speed and memory efficiency.

Armin Catovic 的头像

Armin Catovic5 个月前

What’s a “long video”? 10 seconds? 30 seconds? Minutes?

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🚀 Excited to release LongLive 2.0! 🎬 An end-to-end infrastructure for long video generation, with FP4 and parallelism at the core of both training and inference. ⚡45.7 FPS generation speed on 5B model⚡ ✨ LongLive 2.0 supports real-video training, few-step distillation, multi-shot training/inference, sequence-parallel acceleration, NVFP4 KV cache, and async VAE decoding deployment. 🧩 To our knowledge, this is the first open-source 4-bit long video generation infra that covers both training and inference. 🙌 Welcome to check it out, try it, and share feedback! 🔗 Code: 📰 Paper: 🎥 Demo: #LongVideoGeneration #VideoGeneration #Realtime #AIInfra #EfficientAI #FP4 #Parallel #NVIDIA

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