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veryBadImageNegativev1.3 uses a new training atlas and performs well when used in AOM3 and viewer-mixv1.7 .
Modellquelle
Quellenbeschreibung
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 .
Quellen
1 QuelleModellartefakte
1 Artefaktverybadimagenegative_v1.3.pt
pt · FP16 · FULL · 30,9 KB · SHA-256 d70463f87042…b143 · Civitai
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2 AuszügeSource context: 253446 downloads · Type TextualInversion · Base model SD 1.5
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.
Source context: 251821 downloads · Type TextualInversion · Base model SD 1.5
