<h2 id="heading-4236">这个模型可以生成具有3D渲染质感的女孩~</h2><h2 id="heading-4237"><span style="color:rgb(34, 139, 230)">This model can generate girls with 3D rendering style~</span></h2><h3 id="heading-71"><a target="_blank" rel="ugc" href="https://civarchive.com/posts/357586"><u><span style="color:#e64980">配合lora的一些样图</span></u></a></h3><h3 id="heading-72"><a target="_blank" rel="ugc" href="https://civarchive.com/posts/357586"><u><span style="color:#e64980">Additional lora examples</span></u></a></h3><h3 id="heading-4238">一些食用建议：</h3><h3 id="heading-4239"><span style="color:rgb(34, 139, 230)">Some tips:</span></h3><ul><li><p><span style="color:rgb(37, 38, 43)">我使用的负面提示词:</span></p><p><span style="color:rgb(34, 139, 230)">The negative prompts i used:</span></p></li></ul><pre><code>(worst quality:2), (low quality:2), (normal quality:2), lowres</code></pre><ul><li><p>推荐的采样器：</p><p><span style="color:rgb(34, 139, 230)">RECOMMENDED samplers：</span><br /><em><span style="color:rgb(37, 38, 43)">DPM++ 2M Karras, DPM++ SDE Karras, DPM++ 2M SDE Karras</span></em></p><p></p></li><li><p>推荐的插件：</p><p><span style="color:rgb(34, 139, 230)">RECOMMENDED extensions:</span></p></li></ul><p><a target="_blank" rel="ugc" href="https://github.com/mcmonkeyprojects/sd-dynamic-thresholding"><strong>sd-dynamic-thresholding</strong></a><a target="_blank" rel="ugc" href="https://github.com/Bing-su/adetailer"><strong>, adetailer</strong></a></p><p></p><ul><li><p><strong>使用高清修复生成大头照的时候可能会有皮肤细节太多，五官轻微变形和颜色失真的问题，可以使用adetailer或者ControlNet Tile<span style="color:rgb(37, 38, 43)">避免这个问题。</span></strong></p><p><strong><span style="color:rgb(34, 139, 230)">When using highres.fix to generate a close-up of face, there may be problems such as too many skin details, slight deformation of facial features and color distortion. You can use ADetailer or ControlNet Tile to avoid those problems.</span></strong></p></li></ul><h3 id="heading-4240"><br />已知问题</h3><h2 id="heading-4241"><span style="color:rgb(34, 139, 230)">known issues</span></h2><ul><li><p><strong>这个模型有很大倾向生成女孩，即使你的输入没有相关提示词。例如你的提示词本来是关于男人或者环境，但最终结果却是生成女孩。</strong></p><p><strong><span style="color:rgb(34, 139, 230)">This model has a strong tendency to generate girls, even if your input does not have relevant prompts. For example, your prompts were originally about men or the environment, but the final result was the generation of girls.</span></strong></p></li></ul>

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