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@@ -195,7 +195,7 @@ <h1 class="f3 fw1 athelas mt0 lh-title">
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-          Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this <strong><a href="https://kolors.kuaishou.com/">technical report</a></strong>.
+          Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this <strong><a href="https://github.com/Kwai-Kolors/Kolors/blob/master/imgs/Kolors_paper.pdf">technical report</a></strong>.
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           <a href="/post/post-2/" class="ba b--moon-gray bg-light-gray br2 color-inherit dib f7 hover-bg-moon-gray link mt2 ph2 pv1">read more</a>
 

index.xml

@@ -13,7 +13,7 @@
       <link>https://Kwai-Kolors.github.io/post/post-2/</link>
       <pubDate>Fri, 21 Jun 2024 11:00:59 -0400</pubDate>
       <guid>https://Kwai-Kolors.github.io/post/post-2/</guid>
-      <description>Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this &lt;strong&gt;&lt;a href=&#34;https://kolors.kuaishou.com/&#34;&gt;technical report&lt;/a&gt;&lt;/strong&gt;.</description>
+      <description>Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this &lt;strong&gt;&lt;a href=&#34;https://github.com/Kwai-Kolors/Kolors/blob/master/imgs/Kolors_paper.pdf&#34;&gt;technical report&lt;/a&gt;&lt;/strong&gt;.</description>
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       <title>Learning Multi-dimensional Human Preference for Text-to-Image Generation (CVPR-2024)</title>

post/index.html

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-      Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this <strong><a href="https://kolors.kuaishou.com/">technical report</a></strong>.
+      Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this <strong><a href="https://github.com/Kwai-Kolors/Kolors/blob/master/imgs/Kolors_paper.pdf">technical report</a></strong>.
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post/index.xml

@@ -13,7 +13,7 @@
       <link>https://Kwai-Kolors.github.io/post/post-2/</link>
       <pubDate>Fri, 21 Jun 2024 11:00:59 -0400</pubDate>
       <guid>https://Kwai-Kolors.github.io/post/post-2/</guid>
-      <description>Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this &lt;strong&gt;&lt;a href=&#34;https://kolors.kuaishou.com/&#34;&gt;technical report&lt;/a&gt;&lt;/strong&gt;.</description>
+      <description>Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this &lt;strong&gt;&lt;a href=&#34;https://github.com/Kwai-Kolors/Kolors/blob/master/imgs/Kolors_paper.pdf&#34;&gt;technical report&lt;/a&gt;&lt;/strong&gt;.</description>
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     <item>
       <title>Learning Multi-dimensional Human Preference for Text-to-Image Generation (CVPR-2024)</title>

post/post-2/index.html

@@ -197,7 +197,7 @@ <h1 class="f1 athelas mt3 mb1">Kolors: Effective Training of Diffusion Model for
 <p><img alt="header" src="/images/post-2/post-2.png">
 <br><br></p>
 <h2 id="-introduction">📖 Introduction</h2>
-<p><strong>Kolors</strong> is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this <strong><a href="https://kolors.kuaishou.com/">technical report</a></strong>.
+<p><strong>Kolors</strong> is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this <strong><a href="https://github.com/Kwai-Kolors/Kolors/blob/master/imgs/Kolors_paper.pdf">technical report</a></strong>.
 <br><br></p>
 <h2 id="-evaluation">📊 Evaluation</h2>
 <p>We have collected a comprehensive text-to-image evaluation dataset named KolorsPrompts to compare Kolors with other state-of-the-art open-source and proprietary text-to-image models. KolorsPrompts includes over 1,000 prompts across 14 catagories and 12 evaluation dimensions. The evaluation process incorporates both human and machine assessments. In relevant benchmark evaluations, Kolors demonstrated highly competitive performance, achieving industry-leading standards.
@@ -300,7 +300,7 @@ <h3 id="machine-assessment">Machine Assessment</h3>
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-<p>For more experimental results and details, please refer to our <span style="color: red;"><a href="/">technical report</a></span>.
+<p>For more experimental results and details, please refer to our <span style="color: red;"><a href="https://github.com/Kwai-Kolors/Kolors/blob/master/imgs/Kolors_paper.pdf">technical report</a></span>.
 <br><br></p>
 <h2 id="-visualization">🎥 Visualization</h2>
 <p><strong>High-Quality Portraits</strong></p>

tags/index.html

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-      Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this <strong><a href="https://kolors.kuaishou.com/">technical report</a></strong>.
+      Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this <strong><a href="https://github.com/Kwai-Kolors/Kolors/blob/master/imgs/Kolors_paper.pdf">technical report</a></strong>.
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     <div class="nested-links f5 lh-copy nested-copy-line-height">
-      Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this <strong><a href="https://kolors.kuaishou.com/">technical report</a></strong>.
+      Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this <strong><a href="https://github.com/Kwai-Kolors/Kolors/blob/master/imgs/Kolors_paper.pdf">technical report</a></strong>.
     </div>
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tags/text-to-image/index.html

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       </a>
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     <div class="nested-links f5 lh-copy nested-copy-line-height">
-      Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this <strong><a href="https://kolors.kuaishou.com/">technical report</a></strong>.
+      Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this <strong><a href="https://github.com/Kwai-Kolors/Kolors/blob/master/imgs/Kolors_paper.pdf">technical report</a></strong>.
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tags/text-to-image/index.xml

@@ -13,7 +13,7 @@
       <link>https://Kwai-Kolors.github.io/post/post-2/</link>
       <pubDate>Fri, 21 Jun 2024 11:00:59 -0400</pubDate>
       <guid>https://Kwai-Kolors.github.io/post/post-2/</guid>
-      <description>Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this &lt;strong&gt;&lt;a href=&#34;https://kolors.kuaishou.com/&#34;&gt;technical report&lt;/a&gt;&lt;/strong&gt;.</description>
+      <description>Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this &lt;strong&gt;&lt;a href=&#34;https://github.com/Kwai-Kolors/Kolors/blob/master/imgs/Kolors_paper.pdf&#34;&gt;technical report&lt;/a&gt;&lt;/strong&gt;.</description>
     </item>
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       <title>Learning Multi-dimensional Human Preference for Text-to-Image Generation (CVPR-2024)</title>

tags/u-net/index.html

@@ -164,7 +164,7 @@ <h1 class="f3 near-black">
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     <div class="nested-links f5 lh-copy nested-copy-line-height">
-      Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this <strong><a href="https://kolors.kuaishou.com/">technical report</a></strong>.
+      Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this <strong><a href="https://github.com/Kwai-Kolors/Kolors/blob/master/imgs/Kolors_paper.pdf">technical report</a></strong>.
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tags/u-net/index.xml

@@ -13,7 +13,7 @@
       <link>https://Kwai-Kolors.github.io/post/post-2/</link>
       <pubDate>Fri, 21 Jun 2024 11:00:59 -0400</pubDate>
       <guid>https://Kwai-Kolors.github.io/post/post-2/</guid>
-      <description>Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this &lt;strong&gt;&lt;a href=&#34;https://kolors.kuaishou.com/&#34;&gt;technical report&lt;/a&gt;&lt;/strong&gt;.</description>
+      <description>Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this &lt;strong&gt;&lt;a href=&#34;https://github.com/Kwai-Kolors/Kolors/blob/master/imgs/Kolors_paper.pdf&#34;&gt;technical report&lt;/a&gt;&lt;/strong&gt;.</description>
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