NOTE: every version has a slightly different trigger word. This one was retrained on a much larger dataset of about 100 images with with greater variety.

(Yes, the model was originally designed for women wearing sexy shirts but I had gotten better results with underwear so I pivoted towards that.)

Most of my testing of this model revolves around the following settings so this would be a good place to start:

Recommended Settings

Model: SD 1.5, Hassan Blend, or F222

VAE: vae-ft-mse-840000-ema-pruned.ckpt

Hypernetwork: None

Starter Prompt: woman, perfect face, standing, t-shirt, panties, feet, shirtp5, bedroom

(Note, at a bare minimum, you'll want to mention the following 2: woman, shirtp5)

Negative prompt: small eyes, eyes closed, long legs

(It seems the images I trained the model on had people with smaller than average eyes but putting these in the negative prompt seems to help a lot. And depending on your dimensions, the legs may sometimes come out unnaturally long so include "long legs" in your negative prompt if that's the case.)

Height: 1024

Width: 512

Sampler: Euler A

Steps: 20

CFG: 10 (though anything above 7 seems to work fine)

Restore Faces: On (makes a huge difference)

Highres Fix: On, Denoising = 0.5

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