<p>本模型有三个国家的语言介绍</p><p>中文，英语，日文</p><p>This model has language introductions for three countries</p><p>Chinese, English, Japanese</p><p>このモデルには3つの国の言語が紹介されています</p><p>中国語、英語、日本語</p><h1><strong>=========================</strong></h1><h1 id="loconnoobai-xl-vperd-1.0-version"><strong>本LoCon模型以NoobAI-XL-Vperd-1.0-Version作为基础模型。因而它可以在相关的再训练模型中产生意想不到的效果。</strong></h1><h1 id="aiainai3&quot;&quot;"><strong>基于我自身的AI风格化样例与相关的AI图片进行的再训练，以带给各位一种类似NAI3的“富有光泽与细节”的效果。</strong><br /></h1><h2 id="loconlycorisloratags0.1-1.50.6-1.2checkpointlora"><strong>模型采用了Locon的Lycoris网络算法来提升了模型稳定性以及鲁棒性，便于与其他lora模型进行融合，而不会造成过多的tags污染。</strong><br /><strong>参数推荐：权重可以在0.1-1.5以内随意调控</strong><span style="color:rgb(64, 192, 87)"><strong>（推荐权重在0.6-1.2）</strong></span><strong>，具体效果依据于您希望的效果以及您所选用的Checkpoint对于Lora模型的兼容度。</strong></h2><p></p><h3><span style="color:rgb(76, 110, 245)"><strong>模型参数：</strong></span></h3><h3 id="network_dim-128"><span style="color:rgb(76, 110, 245)"><strong>network_dim 128</strong></span></h3><h3 id="network_alpha-64"><span style="color:rgb(76, 110, 245)"><strong>network_alpha 64</strong></span></h3><h3 id="conv_dim-32"><span style="color:rgb(76, 110, 245)"><strong>conv_dim 32</strong></span></h3><h3 id="conv_alpha-16"><span style="color:rgb(76, 110, 245)"><strong>conv_alpha 16</strong></span></h3><p></p><h1 id="selfsupply_up3"><span style="color:rgb(250, 82, 82)"><strong>触发词：Selfsupply_UP3</strong></span></h1><p></p><h1><span style="color:rgb(250, 176, 5)"><strong>祝玩的开心！</strong></span></h1><h1>——————————————————</h1><h1 id="this-locon-model-is-based-on-noobai-xl-vperd-1.0-version.-therefore-it-can-produce-unexpected-effects-in-related-retraining-models.based-on-my-own-ai-stylized-examples-and-related-ai-images-i-retrained-to-bring-you-a-&quot;glossy-and-detailed&quot;-effect-similar-to-nai3."><strong>This LoCon model is based on NoobAI-XL-Vperd-1.0-Version. Therefore, it can produce unexpected effects in related retraining models.<br />Based on my own AI stylized examples and related AI images, I retrained to bring you a "glossy and detailed" effect similar to NAI3.</strong></h1><p></p><h2 id="the-model-adopts-locon's-lycoris-network-algorithm-to-improve-its-stability-and-robustness-making-it-easy-to-integrate-with-other-lora-models-without-causing-excessive-tag-pollution."><strong>The model adopts Locon's Lycoris network algorithm to improve its stability and robustness, making it easy to integrate with other Lora models without causing excessive tag pollution.</strong></h2><h2 id="parameter-recommendation:-the-weight-can-be-adjusted-freely-within-0.1-1.5-(recommended-weight-is-0.6-1.2)-and-the-specific-effect-depends-on-the-desired-effect-and-the-compatibility-of-the-checkpoint-you-choose-with-the-lora-model."><strong>Parameter recommendation: The weight can be adjusted freely within 0.1-1.5 </strong><span style="color:rgb(64, 192, 87)"><strong>(recommended weight is 0.6-1.2)</strong></span><strong>, and the specific effect depends on the desired effect and the compatibility of the checkpoint you choose with the Lora model.</strong></h2><p></p><h3 id="model-parameters:"><span style="color:rgb(76, 110, 245)"><strong>Model parameters:</strong></span></h3><h3 id="network_dim-128"><span style="color:rgb(76, 110, 245)"><strong>network_dim 128</strong></span></h3><h3 id="network_alpha-64"><span style="color:rgb(76, 110, 245)"><strong>network_alpha 64</strong></span></h3><h3 id="conv_dim-32"><span style="color:rgb(76, 110, 245)"><strong>conv_dim 32</strong></span></h3><h3 id="conv_alpha-16"><span style="color:rgb(76, 110, 245)"><strong>conv_alpha 16</strong></span></h3><p></p><h1 id="trigger-word:-selfsupply_up3"><span style="color:rgb(250, 82, 82)"><strong>Trigger word: Selfsupply_UP3</strong></span></h1><p></p><h1 id="have-fun!"><span style="color:rgb(250, 176, 5)"><strong>Have fun!</strong></span></h1><h1>——————————————————</h1><h1 id="loconnoobai-xl-vperd-1.0-version"><strong>このLoConモデルは、NoobAI-XL-Vperd-1.0-Versionをベースモデルとしています。したがって、関連する再訓練モデルでは予想外の効果を得ることができます。</strong></h1><h1 id="nai-3aiai"><strong>NAI 3のような「光沢とディテールに富んだ」効果をもたらすために、私自身のAIスタイル化サンプルと関連するAIピクチャに基づいて再訓練しました。</strong></h1><p></p><h2 id="loconlycorisloratags"><strong>モデルはLoconのLycorisネットワークアルゴリズムを採用してモデルの安定性とロバスト性を向上させ、他のloraモデルとの融合を容易にし、過剰なtags汚染をもたらすことはない。</strong></h2><h2 id="0.11.50.61.2checkpointlora"><strong>パラメータ推奨：ウェイトは0.1～1.5以内で自由に調整できます</strong><span style="color:rgb(130, 201, 30)"><strong>（推奨ウェイトは0.6～1.2）</strong></span><strong>、具体的な効果はご希望の効果とご使用のCheckpointのLoraモデルへの互換性に基づいています。</strong></h2><p></p><h3><span style="color:rgb(76, 110, 245)"><strong>モデルパラメータ：</strong></span></h3><h3 id="network-_-dim-128"><span style="color:rgb(76, 110, 245)"><strong>network _ dim 128</strong></span></h3><h3 id="network_alpha-64"><span style="color:rgb(76, 110, 245)"><strong>network_alpha 64</strong></span></h3><h3 id="conv_dim-32"><span style="color:rgb(76, 110, 245)"><strong>conv_dim 32</strong></span></h3><h3 id="conv_alpha-16"><span style="color:rgb(76, 110, 245)"><strong>conv_alpha 16</strong></span></h3><p></p><h1 id="selfsupply-_-up-3"><span style="color:rgb(250, 82, 82)"><strong>トリガー：Selfsupply _ UP 3</strong></span></h1><p></p><h1><span style="color:rgb(250, 176, 5)"><strong>楽しんでね！</strong></span></h1><h1><strong>=========================</strong></h1><p></p>

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