Nude female frontals Generative Model Instruction

Nude female frontals Model called “Nudify XL”. Shapely breasts with small nipples. Strips away layers of embedded censorship in models.

⬇️ read the instructions ⬇️

What it is

• This is a LoRA that I use in text2img to get better NUDE FRONTALS.
• It alters the body shape, particularly the breasts.
• It’s best at weights under <1 with accompanying keywords.
• The data set is a collection of fully nude adult women.

What it is not

• The dataset is all naked women with no faces. Any effect on clothing, men, flat chests, or faces is unintended. Funny, but unintended.
• While appreciated for the exposure – using this for fully clothed women defeats the purpose.
• It only works when you include it in the prompt (saddened I must tell you this).
• It does not bias towards asians. I just like generating them. There are no dark skinned women in the data set unfortunately, but I’m not averse to making a version for this.

Installation:

1. Download the file
2. Place it in models\Lora folder (webui)

Usage:

You can also add it to the prompt by clicking “lora” tab in automatic1111:

You can also type it into the prompt, but it will not work if you make a single typo.
ex <lora:nudify:0.5>

The XL model requires the XL base / XL base with VAE model. It doesn’t seem to work with the refiner, or anything else.

Adjust the weights. 0.1 - 1.0

Tips:

• This is a fairly strong LORA best used in conjunction with low weights and other keywords like “naked”, “topless”. Work to get your image close to NSFW first, then add this to push it over the line.
• 0.5 weight is pretty good for most purposes.
• Very high weights can cause the face to crop out.
• Adding “small breast” or “huge breast” keywords can add more size variation, keeping the shape.
• Adding stubborn loras or conflicting terms (e.g. “shirt”) to the prompt can burn the image.
• Base SD models are stubborn and don’t like to be made NSFW. Expect clothes, blurred nipples. Try different weights and add more keywords!
• A Variational Autoencoder (VAE) is a type of generative machine learning model that is used to learn a compressed representation of data.

Rody

AI-lover, is a full-time researcher and journalist for our website.

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