<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Consistency Model - 标签 - mywebsite</title><link>https://steven-yl.github.io/mywebsite/tags/consistency-model/</link><description>Consistency Model - 标签 - mywebsite</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>steven@gmail.com (Steven)</managingEditor><webMaster>steven@gmail.com (Steven)</webMaster><copyright>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</copyright><lastBuildDate>Fri, 27 Feb 2026 00:00:00 +0800</lastBuildDate><atom:link href="https://steven-yl.github.io/mywebsite/tags/consistency-model/" rel="self" type="application/rss+xml"/><item><title>Consistency Model</title><link>https://steven-yl.github.io/mywebsite/consistency-model/</link><pubDate>Fri, 27 Feb 2026 00:00:00 +0800</pubDate><author><name>Steven</name><uri>https://github.com/steven-yl</uri></author><guid>https://steven-yl.github.io/mywebsite/consistency-model/</guid><description><![CDATA[<div class="featured-image">
                <img src="/mywebsite/posts/images/consistency-model.webp" referrerpolicy="no-referrer">
            </div><p>Consistency Model 技术文档（原理 + 自洽性 + 蒸馏/直接训练 + 采样 + 对比）</p>
<p>本文档为正式技术规格文档，系统介绍 Consistency Model 的核心思想、自洽性定义、两种训练范式（Consistency Distillation / Consistency Training）、一步与多步采样，以及与扩散模型、MeanFlow 的对比。</p>]]></description></item></channel></rss>