Type | |
Stats | 163 15 5 |
Reviews | (28) |
Published | Mar 25, 2025 |
Base Model | |
Trigger Words | seibu |
Hash | AutoV2 365D6EF978 |
The English description is translated below the Japanese one at DeepL.
日本のプロ野球チーム、埼玉西武ライオンズのユニフォームを着て応援する女性の服装LoRAです。
トリガーワードは seibu です。
重みは0.8で良いですが脱がせたりで効きが悪い場合は胸の文字が崩れますが重みを下げて下さい。
トリガーだけでも問題ないですが baseball, baseball cap, baseball uniform, hat, blue headwear,white shirt, clothes writing, short sleeves 辺りを入れると安定します。素材がほぼ全てホームユニフォームなのでビジターユニフォームや埼玉ユニフォームは基本出せません。一応white shirtの代わりに(blue shirt:2)で胸の文字は本来とは違いますが色はビジターっぽくできます。
Illustrious版はIllustrious-XL 0.1をベースとして学習していますので他のIllustriousマージモデルやNoobマージモデルでも使用できる可能性はありますが検証は行っておりません。
Animagine版はAnimagine XL 3.0をベースとして学習していますが3.1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
This is LoRA, an outfit for a woman cheering in the uniform of the Saitama Seibu Lions, a Japanese professional baseball team.
The trigger word is seibu.
The weight should be 0.8, but if it doesn't work well when the wearer takes off the uniform, please lower the weight, although the text on the chest will be broken.
The trigger word alone is fine, but it would be more stable if you put baseball, baseball cap, baseball uniform, hat, blue headwear,white shirt, clothes writing, short sleeves, and so on. Almost all of the materials are home uniforms, so visitor uniforms and Saitama uniforms cannot be used. Instead of white shirt, you can use (blue shirt:2) to make it look like a visitor's uniform, although the letters on the chest are different from the original.
Illustrious version is based on Illustrious-XL 0.1, so there is a possibility that other Illustrious merge models and Noob merge models can be used, but we have not verified it.
The Animagine version is trained based on Animagine XL 3.0, but we have confirmed that it also works with 3.1. 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.