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    <title>Image Generation on Nalar</title>
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    <description>Recent content in Image Generation on Nalar</description>
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      <title>Control Diffusion Generation with Classifier-Free Guidance</title>
      <link>https://nalar.dev/control-diffusion-generation-with-classifier-free-guidance/</link>
      <pubDate>Fri, 11 Sep 2026 00:00:00 +0700</pubDate>
      <guid>https://nalar.dev/control-diffusion-generation-with-classifier-free-guidance/</guid>
      <description>&lt;h1 id=&#34;control-diffusion-generation-with-classifier-free-guidance&#34;&gt;Control Diffusion Generation with Classifier-Free Guidance&lt;/h1&gt;&#xA;&lt;p&gt;A text-conditioned diffusion model can understand a prompt yet still produce a sample that only loosely follows it. Increasing prompt influence can make the requested content more prominent, but pushing too hard can reduce variation or introduce visual artifacts.&lt;/p&gt;&#xA;&lt;p&gt;&lt;strong&gt;Classifier-free guidance (CFG)&lt;/strong&gt; gives diffusion systems a direct control for this trade-off. At each denoising step, the model produces one prediction with the condition and another without it. The sampler combines those predictions so the conditional signal can be strengthened.&lt;/p&gt;</description>
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