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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 görüntüleme • 5 ay önce •via X (Twitter)

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NVIDIA AI profil fotoğrafı

NVIDIA AI5 ay önce

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 profil fotoğrafı

NVIDIA AI5 ay önce

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

Ahmad profil fotoğrafı

Ahmad5 ay önce

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

mr_r0b0t profil fotoğrafı

mr_r0b0t5 ay önce

@SamJWasserman don’t miss this 👀

micmann.eth profil fotoğrafı

micmann.eth5 ay önce

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 profil fotoğrafı

Experiencer Lens5 ay önce

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

Beginnersblog profil fotoğrafı

Beginnersblog5 ay önce

How long can I make a video?

Markets & Mayhem profil fotoğrafı

Markets & Mayhem5 ay önce

Very cool.

Paul Lu profil fotoğrafı

Paul Lu5 ay önce

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 profil fotoğrafı

James Clawn5 ay önce

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

Neha Singh profil fotoğrafı

Neha Singh5 ay önce

Aligned NVFP4 Long Video

Aero - AI & Crypto profil fotoğrafı

Aero - AI & Crypto5 ay önce

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

Subhan Tariq profil fotoğrafı

Subhan Tariq5 ay önce

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 profil fotoğrafı

Shara5 ay önce

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

Naveen profil fotoğrafı

Naveen5 ay önce

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

Alberto Vélez profil fotoğrafı

Alberto Vélez5 ay önce

slop

Sumit Kumar profil fotoğrafı

Sumit Kumar5 ay önce

“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 profil fotoğrafı

Subhan Tariq5 ay önce

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

Geraldo Pena profil fotoğrafı

Geraldo Pena5 ay önce

👏🏻

Alice The Ai Expert profil fotoğrafı

Alice The Ai Expert5 ay önce

Smart systems-level improvement

Shivam Kumar profil fotoğrafı

Shivam Kumar5 ay önce

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

DrSadek 🪶 profil fotoğrafı

DrSadek 🪶5 ay önce

did you guys vibe code this website?

Inflectiv AI ⧉ profil fotoğrafı

Inflectiv AI ⧉5 ay önce

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 profil fotoğrafı

Armin Catovic5 ay önce

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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