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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LCM-LoRA: A Universal Stable-Diffusion Acceleration Module · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2311.05556/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2311.05556/feed.xml" rel="self" type="application/rss+xml" /><item><title>LCM-LoRA: A Universal Stable-Diffusion Acceleration Module — HN submission</title><link>https://news.ycombinator.com/item?id=38287269</link><guid isPermaLink="false">urn:hackerpapers:submission:2311.05556:38287269</guid><pubDate>Thu, 16 Nov 2023 09:13:47 GMT</pubDate><description>&lt;p&gt;LCM-LoRA: A Universal Stable-Diffusion Acceleration Module&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2311.05556/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>LCM-LoRA: A Universal Stable-Diffusion Acceleration Module — HN submission</title><link>https://news.ycombinator.com/item?id=38275816</link><guid isPermaLink="false">urn:hackerpapers:submission:2311.05556:38275816</guid><pubDate>Wed, 15 Nov 2023 12:04:48 GMT</pubDate><description>&lt;p&gt;LCM-LoRA: A Universal Stable-Diffusion Acceleration Module&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;8 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2311.05556/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>LCM-LoRA: A Universal Stable-Diffusion Acceleration Module — mentioned by vipermu</title><link>https://news.ycombinator.com/item?id=38225719</link><guid isPermaLink="false">urn:hackerpapers:mention:2311.05556:38225719</guid><pubDate>Fri, 10 Nov 2023 22:59:01 GMT</pubDate><description>&lt;p&gt;indeed; we&amp;#x27;re able to make it work with SDXL thanks to a new technique that got released yesterday called LCM-LoRA. with LCM-LoRA you can turn models like SDXL into LCMs without need for training and you can add other style LoRAs like the ones you find on civit.ai in case you&amp;#x27;re interested, here&amp;#x27;s the technical report about LCM-LoRA: https://arxiv.org/abs/2311.05556&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2311.05556/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>LCM-LoRA: A Universal Stable-Diffusion Acceleration Module — mentioned by vipermu</title><link>https://news.ycombinator.com/item?id=38223986</link><guid isPermaLink="false">urn:hackerpapers:mention:2311.05556:38223986</guid><pubDate>Fri, 10 Nov 2023 20:19:46 GMT</pubDate><description>&lt;p&gt;it uses a new technique called &amp;quot;consistency&amp;quot; that lets latent diffusion models to predict images in much fewer steps. some links here: - https://arxiv.org/abs/2310.04378 - https://arxiv.org/abs/2311.05556&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2311.05556/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
