[Embedding模型][负向] veryBadImageNegative

v1.3

veryBadImageNegative_v1.3使用了新的训练图集，在AOM3和viewer-mix_v1.7中使用时表现较好。
veryBadImageNegative_v1.3 uses a new training atlas and performs well when used in AOM3 and viewer-mix_v1.7.

v1.2
veryBadImageNegative是使用viewer-mix_v1.3生成的特殊图集训练而来的负面嵌入。
所以veryBadImageNegative是viewer-mix_v1.3的专用负面嵌入。

或许在其他的扩散模型中也有不错的效果，但缺乏验证。

veryBadImageNegative is a negative embedding trained from the special atlas generated by viewer-mix_v1.3.
So veryBadImageNegative is the dedicated negative embedding of viewer-mix_v1.3.
It may also have a good effect in other diffusion models, but it lacks verification.

关于v1.2：
增强图像的质量，削弱了风格。
在使用v1.2版本时，可以降低一些权重以获得更好的灵活性。

例如：(veryBadImageNegative_v1.2-6400:0.9)
About v1.2:
Enhance image quality and weaken style.
When using v1.2, you can reduce some weights to obtain better flexibility.
For example: (veryBadImageNegative_v1.2-6400:0.9)

关于v1.0与v1.1的差异：
几乎没有差别，仅用于训练的图集在生成参数有一些微妙的差别。

关于1600~6400的差异：
数字代表了训练步数，理论上步数越多效果越好。

About the difference between v1.0 and v1.1:
There is almost no difference. The atlas used for training only has some subtle differences in the generation parameters.
About the difference between 1600 ~ 6400:
The number represents the number of training steps. In theory, the more steps, the better the effect.