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veryBadImageNegative

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191k
6.3m
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Updated: Mar 24, 2023
negativenegative embedding
Verified:
PickleTensor
Type
Embedding
Stats
168,854
6,147,762
Reviews
Published
Mar 19, 2023
Base Model
SD 1.5
Trigger Words
verybadimagenegative_v1.3
Hash
AutoV2
D70463F870
default creator card background decoration
YU
yunleme

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.