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Togawa Sakiko (GBC) NoobAI V-Pred

Togawa Sakiko (GBC) NoobAI V-Pred

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#Character
#TOGAWA SAKIKO

Read the contents below before use.

Trigger word and usage guide are listed below.

ABOUT THE MODEL


Togawa Sakiko from BanG Dream! Ave Mujica

20250918v1

Trained on NoobAI-XL V-pred 1.0
It’s just an experiment, and the results are still quite unstable.

Features

  • 1+ outfits

  • GBC Anime Style

Issues

  • When the face becomes blurry, consider using ADetailer to fix it.

  • When the output becomes blurry, consider using Hire.fx to tix it.

  • Looks like NoobAI sometimes triggers censoring unexpectedly. Try adding “blank censor, mosaic censoring, censored, bar censor,” to the negative prompt — it might help.

TRIGGER WORDS


All trigger words are based on full body, you can modify them as needed.

Example

You could find the example prompts from my showcase.

My prompts are basically composed in the order of [character traits] + [clothing] + [customize content] + [background], and you can delete or modify them as needed.

Gown

togawasakiko, silver hair, blunt bangs, twintails, black hair ribbon, yellow eyes, red and black gown, black lace gloves, black pantyhose, black boots, 

USAGE GUIDE


Tips

I recommend using SDXL's original resolution first and then pairing it with ADetailer to fix the face. To achieve better visual results, I recommend setting Upscale value to at least 1.4x or higher.

Requirement

Checkpoints: NoobAI-XL V-pred 1.0

Recommended Tools: Forge

Sample: Euler

CFG: 3~5.5

Recommended weight: 1~0.6

Hires.fix: Recommended Upscale value is around 1.2~2.0, denoising strength is 0.1~0.2.

Recommended size: 7681344, 8321216, 8961156, 10241024, 1344768, 12168

32, 1156896

If blurriness appears on the face, please use ADetailer to fix it. The recommended denoising strength is 0.1~0.4.


I’ve set the gallery moderation of this post to “R”, so may not appear on this page

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2025-09-18
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Tipo
LORA
Data di pubblicazione
2025-09-18
Modello Base
NoobAI
Parola Chiave
togawasakiko
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Model Source: civitai

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