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[SDXL&Pony] crime prevention buzzer / 防犯ブザー

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Updated: May 17, 2024
posesstudentshigure uirandoseru
Verified:
SafeTensor
Type
LoRA
Stats
778
128
Reviews
Published
May 15, 2024
Base Model
Pony
Usage Tips
Strength: 0.8
Trigger Words
crime prevention buzzer
Hash
AutoV2
A7EB392E67
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ayasesuki

The English description is translated below the Japanese one at DeepL.

日本の特に女学生が装備している防犯ブザーを持たせるLoRAです。かなり多くの小学校もしくは地域から配布される黄色いブザーが基本的には出現します。ランドセルの肩ベルト部分にある装着箇所に金属ストラップで取り付け、真ん中のボタンを押すもしくは紐を引っ張る事で非常に大きな音を発生させて周囲に助けを呼ぶことで不審者を威嚇する商品です。

トリガーワードは crime prevention buzzer です。

重みは0.8前後推奨。

Animagineは元々学習してあるプロンプトですが形状がおかしいので一番有名な形に矯正させます。手に持たせて相手を威嚇したり、相手を貶めようとブザーを使って脅迫したりみたいな今にも押しそうな状況の場合は holding, looking at viewer, hands up を入れてください。Ponyは crime prevention と警官のような服装が紐づけられていて青い帽子を被りがちなのでネガティブに cap を入れてください。

Animagine版はAnimagine XL 3.1をベースとして学習していますが3.0でも動作は確認しています。それ以外のXLモデルでは正常に機能しない可能性があります。

Pony版はPony Diffusion V6 XLをベースとして学習していますので派生モデルでは正常に機能しない可能性があります。

以下翻訳

It is LoRA that makes them carry the security buzzers that Japanese students, especially female students, are equipped with. The yellow buzzer distributed by quite a few elementary schools or communities basically appears. The buzzer is attached to the shoulder strap of a school bag with a metal strap, and by pushing the button in the middle or pulling the strap, a very loud sound is generated to call for help and intimidate suspicious people.

The trigger word is crime prevention buzzer.

Recommended weight is around 0.8.

The Animagine is a prompt that was originally learned, but the shape is wrong, so we will correct it to the most famous shape. Pony is a crime prevention prompt with a cop-like outfit, so it's negative. Pony is associated with crime prevention and police-like attire, and tends to wear a blue hat, so add “cap” in the negative.

The Animagine version is based on Animagine XL 3.1, but we have confirmed that it works with 3.0 as well. Other XL models may not function properly.

Pony version is trained based on Pony Diffusion V6 XL, so there is a possibility that it does not work properly with derived models.