VRChat Kon

Based on the animagineXLV3_v30 training, generate images of the 3D model Kon sold on Booth.

Recommended weight: 0.7 or 0.9 is recommended. The higher the value, the more the image style leans towards rendering, and the more fixed the character's appearance becomes. 0.7 is a more balanced value, resulting in a 2D image style. You can refer to the example image xyz.

The dataset is trained at a resolution of 11521152 with 60 images.

Trigger words: 'vrchat kon' for the original character, and 'vrchat kon clothes' for the original clothing. If the default clothing is too difficult to , it can be placed in the reverse prompt words.

The labeling method involves character features + quality table + style table.

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基于animagineXLV3_v30训练，生成Booth上售卖的3D模型Kon图像。

推荐权重：推荐0.7或0.9。数值越高图像风格越偏向渲染，而且形象越固定。0.7是一个比较均衡的数值，会有2D图像风格。可以参考例图的xyz。

数据集以11521152分辨率进行训练，有60张。

触发词：vrchat kon，触发原始衣服用 vrchat kon clothes，如果默认衣服太难去除可以放在反向提示词里。

打标方式是删除人物形象特征+质量表+画风表。