Model Information

Tsutsukakushi Tsukiko (筒隠月子) - The "Hentai" Prince and the Stony Cat (変態王子と笑わない猫) | LoRa - Image 1
Tsutsukakushi Tsukiko (筒隠月子) - The "Hentai" Prince and the Stony Cat (変態王子と笑わない猫) | LoRa - Image 2
Tsutsukakushi Tsukiko (筒隠月子) - The "Hentai" Prince and the Stony Cat (変態王子と笑わない猫) | LoRa - Image 3
Tsutsukakushi Tsukiko (筒隠月子) - The "Hentai" Prince and the Stony Cat (変態王子と笑わない猫) | LoRa - Image 4
Tsutsukakushi Tsukiko (筒隠月子) - The "Hentai" Prince and the Stony Cat (変態王子と笑わない猫) | LoRa - Image 5

Description

Lora for Tsutsukakushi Tsukiko from the The "Hentai" Prince and the Stony Cat anime.

Trained on anime screencaps using Illustrious-XL v0.1. No fanart or other official art was included in the dataset.

Basic prompt for canon outfit: 1girl, solo, tsutsukakushi tsukiko, blue eyes, one side up, uniform, white shirt, plaid skirt, yellow ribbon

Add anime screencap and/or anime coloring to prompt if the image starts to divert from an anime style or if you want a stronger anime look.

My examples use DOMKU01 (version: v1) checkpoint and unaestheticXL | Negative TI(version: _cbp62) negative embedding that can both be found on CivitAI: DOMKU01 & unaestheticXL. They were generated using vanilla Auto1111 without any edits so you should be able to use the prompts after verifying that the LoRa and negative embedding names match what you have saved locally. You don't need to use this checkpoint/embedding, but if you use a different mix then you should follow the recommended guidance (boilerplate prompts/CFG/Steps) that they provide.

Use low CFG (3+) for softer image with less saturated colors.
Use high CFG for more saturated colors & more emphasis on prompt.

Example using CFG of 3:

Tsutsukakushi Tsukiko (筒隠月子) - The Same example using CFG of 7:

Tsutsukakushi Tsukiko (筒隠月子) - The Not recommended, but you can also prompt for yokodera youto with: 1boy, yokodera youto, brown eyes

Tsutsukakushi Tsukiko (筒隠月子) - The "Hentai" Prince and the Stony Cat (変態王子と笑わない猫) | LoRa

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Model Details

Type
Model Addon
Subtype
LoRA
Created
Updated
June 24, 2026

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