veryBadImageNegative

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模型描述

v1.3

veryBadImageNegative_v1.3 使用了新的训练图集,在 AOM3 和 viewer-mix_v1.7 中表现良好。

veryBadImageNegative_v1.3 uses a new training atlas and performs well when used in AOM3 and viewer-mix_v1.7.

v1.2

veryBadImageNegative 是基于 viewer-mix_v1.3 生成的特殊图集训练得到的负面嵌入。

因此,veryBadImageNegative 是 viewer-mix_v1.3 专用的负面嵌入。

在其他扩散模型中或许也能取得不错的效果,但尚未经过验证。

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:

提升了图像质量,弱化了风格特征。

使用 v1.2 版本时,可适当降低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:

两者几乎无差别,仅在生成训练图集时的参数存在细微差异。

关于 1600 ~ 6400 的差异:

数字代表训练步数,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.

此模型生成的图像

未找到图像。