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手岛nari/teshima nari.GBC(GirlBandCry原案)

I was utterly captivated by Teshima-sensei's linework and color separation, so I trained it right away. A weight around 0.9 is sufficient, but there’s no guarantee it will perform well on models other than the...

KindLoConBase modelAnimaVersionBgrade

Model source

Kind
LoCon
File size
87.6 MB
Base model
Anima
Version
vAnimaA1.0
Updated
Oct 12, 2026
Downloads
58
Source
Civitai

Source description

实在对手岛老师的线条色差爱不释手了,随即就训练了!权重0.9左右足够,不保证在V预测模型以外的模型上有好的效果。

I was utterly captivated by Teshima-sensei's linework and color separation, so I trained it right away. A weight around 0.9 is sufficient, but there’s no guarantee it will perform well on models other than the V-prediction model.

手島先生の線画と色差の表現にすっかり魅了され、すぐに訓練を始めました。ウェイトはおおよそ0.9で十分ですが、V予測モデル以外のモデルで良い結果が得られるとは限りません。

Sources

1 source
CivitaiPrimaryVersion 3226872
civitai.com/models/1858665

Verified Aug 14

Model artifacts

1 artifact

TeshimaGBC_AnimaA.safetensors

safetensors · BF16 · 87.6 MB · SHA-256 c082e4723bd2…a35b · Civitai

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Source excerpts

1 excerpt

Source context: 445 downloads · Type LoCon · Base model Anima