description: <h3 id="heading-42">Based on the training with animagineXLV3_v30, generate a 3D model image of Karin for sale on the booth.</h3><p>Recommended weight: It is suggested to use 0.9. In the XYZ graph, a weight of 0.9 results in fewer visual errors and finer lines. Since the dataset mostly consists of default clothing, using 0.9 helps alleviate some issues related to insufficient generalization.</p><p>The dataset is trained with a resolution of 1152x1152, comprising 63 images.</p><p>Trigger phrase: vrchat karin</p><p>The labeling method involves removing the character's distinctive features.</p><p></p><p>Update：The Simplify version reduces the file size to 28MB, resulting in a slight decrease in generated quality, but potentially reducing the probability of generating incorrect images.Recommended weight:  1.</p><p></p><p>==========================================================</p><p></p><h2 id="heading-123">基于animagineXLV3_v30训练，生成Booth上售卖的3D模型Karin图像。</h2><h2 id="heading-124"></h2><p>推荐权重：推荐0.9,在xyz图可以看到权重为0.9时画面错误更少,线条更精细。因为数据集几乎全部都是默认衣服，所以使用0.9可以缓解一点泛化不够的问题。</p><p>数据集以1152*1152分辨率进行训练，有63张。</p><p>触发词：vrchat karin</p><p>打标方式是删除人物形象特征。</p><p></p><p>更新：v1.0_simplify版本缩减文件大小到28mb，生成质量有些许下降，但生成错误图片的概率可能更小。推荐权重：1。</p>
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