models/veryBadImageNegative - veryBadImageNegative_v13

veryBadImageNegative - veryBadImageNegative_v13

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7/1/2024
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8:10:52 PM
| Comments

Recommended Prompts

(((masterpiece,best quality,official art,extremely detailed CG unity 8k wallpaper))),illustration,landscape,solo,1girl,bishojo,beautiful detailed eyes,Student uniforms

Recommended Negative Prompts

no prompt

Recommended Parameters

samplers

DPM++ 2M Karras

steps

20

cfg

10

resolution

512x512

other models

AOM3A1B_orangemixs (5493a0ec49), viewer-mix_v1.3-vae (0b6ccf3b97)

Recommended Hires (High-Resolution) Parameters

upscaler

Latent, Latent (nearest-exact)

upscale

2

steps

20

denoising strength

0.6

Tips

When using veryBadImageNegative_v1.2, you can reduce some weights to obtain better flexibility. For example: (veryBadImageNegative_v1.2-6400:0.9)

The number of training steps (1600 ~ 6400) represents the number of steps in training. In theory, the more steps, the better the effect.

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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.

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Model Details

Model type

TextualInversion

Base model

SD 1.5

Model version

veryBadImageNegative_v1.3

Model hash

d70463f870

Trained words

verybadimagenegative_v1.3

Creator