The trigger word is: shirtp5
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 ???? shirts but I had gotten better results with ????????? 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 ???? 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
