The English description is translated below the Japanese one at DeepL.得意げな顔を表すドヤ顔の表情を取らせるLoRAです。トリガーワードは　doyagao　です。重みは1.0推奨。結構座った状態を取りがちなので立たせたい場合は standing を、目をつむらせて恍惚な感じを出す場合は closed eyes を追加して下さい。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This is a LoRA that makes the user take on a doyagao facial expression to show that he/she is good at what he/she does.trigger word : doyagaoA weight of 1.0 is recommended.If you want the robot to stand, please add "standing". If you want the robot to make its eyes glaze over to give an ecstatic look, please add "closed eyes".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.

[SDXL&Pony] doyagao / どや顔 / ドヤ顔 / ドヤァ…

doyagao_Pony_v1.safetensors

Pony v1.0

Animagine v1.0

THIS IS A REPRINT!Go to original author to check their other models or to support them. <hr /> The English description is translated below the Japanese one at DeepL.得意げな顔を表すドヤ顔の表情を取らせるLoRAです。トリガーワードは　doyagao　です。重みは1.0推奨。結構座った状態を取りがちなので立たせたい場合は standing を、目をつむらせて恍惚な感じを出す場合は closed eyes を追加して下さい。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This is a LoRA that makes the user take on a doyagao facial expression to show that he/she is good at what he/she does.trigger word : doyagaoA weight of 1.0 is recommended.If you want the robot to stand, please add "standing". If you want the robot to make its eyes glaze over to give an ecstatic look, please add "closed eyes".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.

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