description: <p>1.0：</p><p>tigger word:<a target="_blank" rel="ugc" href="https://civitai.com/articles/4584">原神全角色使用指南 Genshin Impact Comprehensive Character Usage Guide 2024.3 | Civitai</a></p><p>玩命跑图中,封面在跑了</p><p>124位角色（含服装），以每个角色200张单人图为目标，最后一共收集到22649张图片。</p><p>Training model: nai</p><p>Inference model: a7b3</p><p>Training resolution: 512*768</p><p>Recommended output resolution: ---</p><p>Recommended model weight: 0.8~1</p><p></p><p></p><p>===</p><p>测试版本，我对SD1.5的大部分知识已经遗忘了 ，因此这个Lora模型可能并不成熟</p><p><strong>Test version. I have forgotten most of the knowledge about SD1.5, so this Lora model may not be mature.</strong></p><p>原神全角色，包含服装共107位。</p><p>触发词/keyword：<a target="_blank" rel="ugc" href="https://civitai.com/articles/4584/pony-xl-genshin-impact-comprehensive-character-usage-guide-20243">https://civitai.com/articles/4584/pony-xl-genshin-impact-comprehensive-character-usage-guide-20243</a></p><p><span style="color:rgb(193, 194, 197)">A total of 107 character folders were effectively trained in this session.</span></p><p><span style="color:rgb(193, 194, 197)">本次训练，在4090上耗费了超过14小时，感谢 </span><a target="_blank" rel="ugc" href="http://nieta.art">nieta.art</a> 支持我的想法。</p><p><span style="color:rgb(193, 194, 197)">如果反馈好，这个系列还会出2.0版本，或者考虑制作其他作品的全角色系列。</span></p><p>本次训练有效的角色文件夹共107个。</p><p>使用<strong>全标训练</strong>，因此，角色的所有特征的还原，需要搭配服装TAG才能还原！</p><p>107位角色（含服装），以每个角色200张单人图为目标，最后一共收集到18k张图片。</p><p></p><p>Genshin Impact has a total of 107 characters, including costumes.</p><p>Special thanks to xianienie for creating the cover!</p><p>This training session took over 48 hours on 4090. Thanks to <a target="_blank" rel="ugc" href="https://neta.art/">Neta</a> for supporting my ideas.</p><p>If the feedback is positive, there will be a 2.0 version of this series, or consider creating a comprehensive character series for other works.</p><p>A total of 107 character folders were effectively trained in this session.</p><p>Since it was trained with full labels, the restoration of all character features requires the use of costume tags for accurate reconstruction.</p><p>For the 107 characters (including costumes), the goal was to collect 200 individual images for each character, resulting in a total of 18k images.</p><p>Training model: NAI</p><p>Recommend model: <strong>MeinaMix or other</strong></p><p>Training resolution: 512*768</p><p>Recommended output resolution: --</p><p></p><p><span style="color:rgb(193, 194, 197)">特别鸣谢：算力赞助 </span><a target="_blank" rel="ugc" href="http://nieta.art">nieta.art</a><span style="color:rgb(193, 194, 197)"> / GPU Sponsor: </span><a target="_blank" rel="ugc" href="https://neta.art/">Neta</a></p><p></p><p></p><p>Discord : <a target="_blank" rel="ugc" href="https://discord.com/invite/CFpyHceF52"><u>https://discord.com/invite/CFpyHceF52</u></a></p><p>Recommended dataset collection and processing tools: <a target="_blank" rel="ugc" href="https://github.com/deepghs/waifuc"><u>https://github.com/deepghs/waifuc</u></a></p><p>Possibly the most user-friendly dataset processing UI currently in use： <a target="_blank" rel="ugc" href="https://github.com/Eugeoter/sd-dataset-"><u>https://github.com/Eugeoter/sd-dataset-</u></a></p><p></p><p>不太会跑SD1.5，手崩了很多...</p>
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tags: anime character girls