Trigger words explaination

ataleftin: the person on the left penetrating urethra in ass to ass position

atarightin: the person on the right penetrating urethra in ass to ass position

rsbdownin: the person back to viewer with urethra being penetrated

rsfdownin: the person facing viewer with urethra being penetrated

leftin: the person on the left penetrating urethra

povin: pov penetrating urethra

rightin: the person on the right penetrating urethra

rsfupin: the person facing viewer penetrating urethra in reverse cowgirl position

upin: the person on top penetrating urethra in cowgirl position

downin: the person on back penetrating urethra in cowgirl position

tuckedleftin: the person on the left penetrating urethra on tucked penis

tuckedrightin: the person the right penetrating urethra on tucked penis

Ver NOOB V-PRED V2 EQ

Trained with improved parameters based on NOOB V-PRED EQ VAE exprimental version: https://civarchive.com/models/1858821/noobai-v-pred-10-with-eq-vae

In this version, I subdivided the trigger words for more accurate generate. 12 triggerwords set. See the examples first.

Ver Noob V-PRED V1

Trained based on NOOB E-PRED V1.0 with OneTrainer. See about this version for training details. Change keywords in this version. See the examples for details.

Pros:

• Better artstyle and trigger words response.

Cons:

• Still a lots of trails needed

• Frequent distortions of anatomy.

Ver Noob Exprimental

Trained based on NOOB E-PRED V0.75

Pros:

• Better artstyle.

Cons:

• Less sensitive to trigger words compared to previous versions.

• Frequent distortions of anatomy.

Ver1.5 Updated

Four views set. Divided to penetrating and penetrated to prevent the twisted penis. However not sensitive to trigger words still. Also the x-ray prompt.

Used regularization techniques to reduce the influence on art style.

Some keywords may lead to overbaking, in which case decrease the trigger word weight or Lora weight.

Introduction

A Pony based LyCORIS to generate the concept Urethral intercourse. Three trigger words set. See the examples first.

Pros

• Concept generation

Cons

• Not responsive to trigger words, you need to upweight it or roll for it times to times

• Many trials needed

• Strong influence on art style

• Only side view supported, back view etc will result in chaos

Training details

See about the version.