modelos/Negfeet improve feet quality - V2

Negfeet improve feet quality - V2

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7/2/2024
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1:59:12 AM
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A femboy character with multicoloured short wavy hair, pink and white shades, wearing sunglasses and a light grey blouse, blue short shorts, glowing pink halo, digital white and cyan wings, smiling and looking at viewer.
Hyper-realistic photo of a beautiful woman with brown almond-shaped eyes, smiling, wearing a caramel-colored sweater vest with zigzag hair part.
Smiling woman wearing a white knitted sweater and winter hat standing outdoors with snowy mountains and village in Black Forest, Bavaria.
A smiling woman wearing a red metallic outfit and black tunic stands confidently in front of a volcanic lava flow with fire and snow around.
Photorealistic portrait of a woman in pink pajamas sitting against a graffiti-covered yellow and blue bedroom wall with cinematic lighting.
Close-up portrait of a realistic young woman with green eyes and detailed clothing, set against a softly focused bustling city street background with neon signs.
Portrait of a Dutch girl with perfect straight blonde hair, wearing a school uniform with a pink sweater vest and pleated skirt, leaning against a graffiti-covered wall.
Photorealistic portrait of a woman with blonde hair and green eyes wearing a denim shirt, set against a desert background with rocky formations.
An anime character with long red hair, and a blue outfit, kneeling with a determined expression. AI generated image using Stable Diffusion.
AI generated image of a woman in an elegant dress standing on a beach at sunset using stable diffusion.
Portrait of a beautiful woman with dark hair, wearing a red vintage lace dress and an ornate choker necklace. AI generated image using stable diffusion.
AI generated image using stable diffusion showing a cosplay waitress in an anime style, dressed in a blue maid outfit with white apron and fishnet stockings, standing in a diner.

Prompts Negativos Recomendados

NegfeetV2

naked

Parámetros Recomendados

samplers

DDIM, Euler a

steps

20 - 30

cfg

7

resolution

512x512

other models

CounterfeitV30_v30 (17277fbe68), beautifulRealistic_brav5 (ac68270450), AOM3_orangemixs (d124fc18f0), braBeautifulRealistic_v40 (9c03252bea)

Parámetros Recomendados de Alta Resolución

upscaler

None

upscale

1.5 - 2

steps

12

denoising strength

0.4 - 0.45

Consejos

Use weight 1.5 or higher for better results without losing image quality.

NegfeetV2 can be used as the only negative embedding to improve image quality.

This embedding is especially effective for improving feet and legs in various models.

Aspectos Destacados de la Versión

+ Now you can use weight 1.5 or higher without loss image quality.

+ Enhanced ability to prevent bad feet and legs, try higher weight.

+ Reduced affection to some model's original style.

+ Improved image quality, now you can just use NegfeetV2 as a only one negative embedding.

- May perform worse than Negfeet at some seed.

NegfeetV2 is out! The discription as below:

+ Now you can use weight 1.5 or higher without loss image quality.

+ Enhanced ability to prevent bad feet and legs, try higher weight.

+ Reduced affection to some model's original style.

+ Improved image quality, now you can just use NegfeetV2 as a only one negative embedding.

- May perform worse than Negfeet at some seed.

Use this negative embedding to get much better feet and legs in several models!

This is a negative embedding, so please put NegfeetV2 inside negtive prompt.

This model is trained with hundreads of images with bad feet and bad legs for dozens of hours by 3090. Also I trained some steps with supervision.

To publish photos generated with this embedding, I hope to mention this page to make more people see!

用这个负面嵌套在多种模型中获得显著更好的腿脚质量!

我使用了数百张错误的腿脚图片,在3090上训练了几十个小时,并且加入了一部分有我在屏幕前监督的训练。

如果要发布使用此模型生成的图片,我希望提及此发布页,让更多人看到!

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Detalles del Modelo

Tipo de modelo

TextualInversion

Modelo base

SD 1.5

Versión del modelo

V2

Hash del modelo

df90b1ff66

Palabras entrenadas

NegfeetV2

Creador

Discusión

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Imágenes por Negfeet improve feet quality - V2

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