詳細
おすすめ
v3.0
v2.0
Pixie Haircut Era (v1.0)
v0.1 (2010 version)
Emma Watson (JG)

Emma Watson (JG)

153
15
63
#ペルソナ
#女性
#textual inversion
#emma watson
#ハリウッド
#どこ、男
#女優
#有名人
#embedding
#女の子
#real person
#女性
#British
#harry potter
#hermione granger
#Hermione

A commission of @Springbok707.

Emma Watson is a British actress who needs no introduction. For this embedding, the original idea was to capture her 2010 looks, with that famous pixie haircut.

Update: I've now updated the TI to look more like nowadays Emma. Version 3.0 is step 140 of a TI trained on a dataset of 15 images with these settings. It solves mainly some issues with her hair and her eyes present in v2.0.

Curious about my work process? I have summarized it here.

If you want to help me keep creating TIs, please consider buying me a coffee.

Also, I appreciate 5-star ratings if you really like my TIs!

Building a good prompt with my TIs

You're obviously free to experiment, but bear in mind that my TIs are trained with a more or less fixed phrasing, that normally starts with:

"photo of EMBEDDING_NAME, a woman"

So I recommend always starting your prompt like that and then building the rest of the prompt from there. For instance, "photo of (emm4w4ts0n:0.99), a woman as a movie star, modelshoot style, (extremely detailed CG unity 8k wallpaper), photo of the most beautiful artwork in the world, professional majestic oil painting by Ed Blinkey, Atey Ghailan, Studio Ghibli, by Jeremy Mann, Greg Manchess, Antonio Moro, trending on ArtStation, trending on CGSociety, Intricate, High Detail, Sharp focus, dramatic, photorealistic painting art by midjourney and greg rutkowski, (white turtleneck top:1.2), ((movie premiere)), (long skirt), ((standing near a movie theater)), ((paparazzi in the background)), (looking at viewer:1.2), (detailed pupils:1.3), ((closeup portrait:1.1))"

翻訳を表示

評価とレビュー

-- /5
0 件の評価

まだ十分な評価やレビューが集まっていません

J
お知らせ
2023-04-29
モデルを公開
2023-10-09
モデル情報を更新
モデル詳細
タイプ
TextualInversion
投稿日時
2023-10-09
基本モデル
SD 1.5
トリガーワード
emwats0n
コピー
バージョン紹介

140-step TI trained on a dataset of 15 images with these settings.

許可範囲
モデルソース: civitai

1.転載モデルは学習・共有目的のみで使用し、著作権は原作者に帰属します

2.モデルの認証は公式チャンネルでご連絡ください。クリエイターの権利保護に努めています クリックして認証

創作許可範囲
オンライン画像生成
統合
ダウンロード
商用利用の許可範囲
生成された画像は販売または商業目的での使用
モデルの転売やモデル統合後の販売
QR Code
SeaArt Appをダウンロード
モバイルでAI創作の旅を続けよう