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[SDXL&Pony] dressing socks / adjusting legwear / sock pull / 靴下履き / 靴下直し

451
3.2k
5.2k
148
Updated: May 17, 2024
posessocks
Verified:
SafeTensor
Type
LoRA
Stats
2,537
5,090
Reviews
Published
May 17, 2024
Base Model
Pony
Usage Tips
Strength: 1
Trigger Words
dressing socks, adjusting legwear
Hash
AutoV2
4CD0805C8E
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Diamond Poses Badge
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ayasesuki

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

靴下を履かせるLoRAです。立ちながら、座りながらどちらも可能。

トリガーワードは dressing socks, adjusting legwear です。

重みは1.0推奨。下げると途端にポーズが崩れます。

ポーズの関係上女性でスカートを履かせている場合高確率でパンツが見えてしまいます。健全絵を作る場合はネガティブに underwear, panties を入れ、見たい場合はポジティブに入れて下さい。立ちながら履かせたい場合は standing, standing on one leg, ass, leaning forward, leg up 辺りを、座って履かせたい場合は sitting, leg up, sock pull, foreshortening 辺りから適当に入れると良いと思います。足先を強調したい場合は soles, toes もどうぞ。

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

LoRA to put on socks. Both standing and sitting are possible.

Trigger words are dressing socks, adjusting legwear.

Weight 1.0 recommended. The pose will be instantly broken when lowered.

If the pose is of a woman wearing a skirt, there is a high probability that her pants will be visible. If you want to make a healthy picture, put “underwear” or “panties” in the negative, but if you want to see them, put them in the positive. If you want the woman to wear the skirt while standing, put standing, standing on one leg, ass, leaning forward, leg up, or if you want her to wear the skirt while sitting, put sitting, leg up, sock pull, foreshortening, or whatever is appropriate. If you want to emphasize the toes, you can use soles, soles, soles, soles. If you want to emphasize the toes, you can also use soles and toes.

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.