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Alicia Viewstroem (Kangoku Senkan 2) PonyXL /NoobAI Eps Illustrious / V-pred / SD 1.5

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Verified:

SafeTensor

Type

LoRA

Stats

830

3.7k

1.1k

Reviews

Published

Jan 12, 2025

Base Model

NoobAI

Usage Tips

Strength: 1

Trigger Words

Alicia Viewstroem,1girl, mature female,
blonde hair, long hair, red eyes, lipstick,
gem, red short dress, center opening, red gloves, red thigh boots, black cape, bodystocking,
torn dress, torn clothes, torn bodystocking
white one-piece swimsuit, slingshot swimsuit

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Enigmata's Avatar

Enigmata

Alicia Viewstroem from Kangoku Senkan 2 is on Pony, NoobAI-XL (Illustrious) and SD1.5 now!

For NoobAI-XL V-pred:

Check my guide about V-pred image generating!

The best model to use V-pred is Cyberfix! But pure NoobAI-XL V-pred is also good.

For Illustrious mixes and NoobAI-XL Epsilon: use NoobAI-Xl Epsilon (especially mixes based on NoobAI-XL Epsilon!).

Guide about NoobAI-XL Epsilon.

PonyXL / NoobAI-XL and SD 1.5 tags:

Main apperance:

Alicia Viewstroem,1girl, mature female,
blonde hair, long hair, red eyes, lipstick,

Battle outfit:
gem, red short dress, center opening, red gloves, red thigh boots, black cape, bodystocking,

optional: torn dress, torn clothes, torn bodystocking

Swimsuit:

white one-piece swimsuit, slingshot swimsuit

NoobAI-XL quality settings:

Put "masterpiece, best quality, good quality" in positive and put "low quality, worst quality" in negative.

Use euler, cfg 4-5. Don't use higher CFG!

If you have over-constrasted picture and cfg 4-5 didn't help you can try to put in negative "colorful".

More in my articles.

PonyDiffusion v6 (XL) settings:

Style settings (very important):

score_9, score_8_up, score_7_up, score_6_up, score_5_up,

Negative prompt (recommended):

dutch angle, censored, mosaic censoring, jpeg artifacts, muscular

Upscaler / adetailer settings:

Hires.fix: Upscaler foolhardy_remacri (download and put in "ESRGAN" folder in "models" if you are using automatic1111 or forge).

Hires steps: 16-18

Denoising strength: 0.3

Adetailer: denoising strength 0.3. Detection model confident threshhold: 0.7-0.8.

Best sampling method is euler / euler a, 25-40 sampling steps, You don't need any DPM++

Don't forget to like LoRA model :3

https://tensor.art/u/604375505701151021