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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2307.01952/</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/2307.01952/feed.xml" rel="self" type="application/rss+xml" /><item><title>SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis — mentioned by gwern</title><link>https://news.ycombinator.com/item?id=41603213</link><guid isPermaLink="false">urn:hackerpapers:mention:2307.01952:41603213</guid><pubDate>Fri, 20 Sep 2024 15:56:30 GMT</pubDate><description>&lt;p&gt;It was also solved by the even easier approach of aspect ratio conditioning, where you just pass in the dimensions of the crop to the NN like SDXL: https://arxiv.org/pdf/2307.01952#page=3&amp;amp;org=stability&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2307.01952/"&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>SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis — HN submission</title><link>https://news.ycombinator.com/item?id=38765461</link><guid isPermaLink="false">urn:hackerpapers:submission:2307.01952:38765461</guid><pubDate>Mon, 25 Dec 2023 19:41:00 GMT</pubDate><description>&lt;p&gt;SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2307.01952/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
