OpenVDN 发布 VDN-Minimax-H3 以实现更快的视频生成

作者 PulseAugur 编辑部 · [2 个来源] · 2026-09-02 05:03

OpenVDN 发布了 VDN-Minimax-H3 (VDN-H3)，这是一个开源视频生成模型，它利用混合注意力架构来实现更快的推理。该模型可以在八个 B200 GPU 上以 11.23 秒的速度生成一个 14.4 秒的视频片段，显著加快了视频创作速度。VDN-H3 基于 MiniMax H3 构建，并包含即插即用 LoRA 适配器，便于集成，模型权重和训练代码均公开可用。 AI

影响通过一款提供近乎实时性能的新开源模型，加速视频生成工作流程。

排序理由一款具有性能声明的新视频生成模型的开源发布。[lever_c_demoted from frontier_release: ic=2 ai=1.0]

在 Hugging Face Trending Models 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Significant; 一款具有性能声明的新视频生成模型的开源发布。[lever_c_demoted from frontier_release: ic=2 ai=1.0]
Source corroboration: 2 independent sources; Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics: model release, product; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 57 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [2]

Hugging Face Trending Models TIER_1 (ET) · OpenVDN · 2026-09-02 05:03

OpenVDN/vdn-minimax-h3

text-to-video · 0 downloads · 73 likes
r/StableDiffusion TIER_2 Bahasa(ID) · /u/BassNet · 2026-09-03 00:51

OpenVDN/vdn-minimax-h3 · Hugging Face

<table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1w5sosg/openvdnvdnminimaxh3_hugging_face/"> <img alt="OpenVDN/vdn-minimax-h3 · Hugging Face" src="https://external-preview.redd.it/-cYI_1LDg3Aln8qIAvkA5ziIVVGHZ867Ie0XvPZNYdg.png?width=640&crop=smart&…

本文如何被排名

报道来源 [2]

OpenVDN/vdn-minimax-h3

OpenVDN/vdn-minimax-h3 · Hugging Face

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