English(EN) Speed up video ref by dumping it with split sigmas

StableDiffusion用户分享加速视频生成技术

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-29 18:33

一位Reddit用户分享了一种在StableDiffusion中通过修改潜在放大工作流程来加速视频生成的技术。该方法涉及使用视频参考进行初始低分辨率步骤，然后切换到高分辨率阶段而不使用视频参考。据报道，这种方法在显著减少处理时间和VRAM使用量的同时，保留了原始视频的大部分运动。 AI

影响该方法为StableDiffusion用户提供了一种实用的优化方案，有望减少视频生成任务所需的计算资源和时间。

排序理由针对特定软件产品的用户分享技术。

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 10 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 针对特定软件产品的用户分享技术。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: product, infra; 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: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

r/StableDiffusion TIER_2 English(EN) · /u/MysteriousPepper8908 · 2026-08-29 18:33

通过拆分 sigma 加速视频参考

<div class="md"><p>I've been using ref2v for a while but just started using video reference. As I'm sure you all know, it takes a long time and gets up to 4000+ s/it for me at higher resolutions because it gets too large for my VRAM. So, to fix that, I altered my l…