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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Key-Locked Rank One Editing for Text-to-Image Personalization · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2305.01644/</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/2305.01644/feed.xml" rel="self" type="application/rss+xml" /><item><title>Key-Locked Rank One Editing for Text-to-Image Personalization — mentioned by Terretta</title><link>https://news.ycombinator.com/item?id=37022044</link><guid isPermaLink="false">urn:hackerpapers:mention:2305.01644:37022044</guid><pubDate>Sun, 06 Aug 2023 14:05:13 GMT</pubDate><description>&lt;p&gt;From the white paper on Arxiv: “This allows runtime-efficient balancing of visual-fidelity and textual-alignment with a single 100KB trained model, which is five orders of magnitude smaller than the current state of the art.” https://arxiv.org/abs/2305.01644 It&amp;#x27;s one of those sentences that if you know what it means, you know what it means. That said, the title needs the word &amp;quot;personalization&amp;quot; inserted before the word model, e.g.: Nvidia intros 100kb text-to-image personalization model called Perfusion&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2305.01644/"&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>Key-Locked Rank One Editing for Text-to-Image Personalization — mentioned by Jackson__</title><link>https://news.ycombinator.com/item?id=36976868</link><guid isPermaLink="false">urn:hackerpapers:mention:2305.01644:36976868</guid><pubDate>Wed, 02 Aug 2023 20:26:58 GMT</pubDate><description>&lt;p&gt;I can&amp;#x27;t figure out if the author is clickbaiting, or honestly does not know that you still need the base diffusion model to use this? &amp;gt;Nvidia&amp;#x27;s new Perfusion image generator Calls it an image generator, when it isn&amp;#x27;t. &amp;gt;In the rapidly evolving landscape of AI art creation tools, Nvidia researchers have introduced an innovative new text-to-image personalization method called Perfusion. A spark of understanding, that it is in fact not an image model on its own. &amp;gt;But it’s not a million-dollar super heavyweight model like its competitors. And immediately fails to comprehend what &amp;quot;personalization…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2305.01644/"&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>Key-Locked Rank One Editing for Text-to-Image Personalization — mentioned by peter_d_sherman</title><link>https://news.ycombinator.com/item?id=36964862</link><guid isPermaLink="false">urn:hackerpapers:mention:2305.01644:36964862</guid><pubDate>Tue, 01 Aug 2023 23:42:59 GMT</pubDate><description>&lt;p&gt;Related: Paper: &amp;quot;Key-Locked Rank One Editing for Text-to-Image Personalization&amp;quot;: https://arxiv.org/pdf/2305.01644.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2305.01644/"&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>
