详情
推荐
v3.0
v2.0
Pixie Haircut Era (v1.0)
v0.1 (2010 version)
Emma Watson (JG)

Emma Watson (JG)

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15
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#人物
#女性
#textual inversion
#emma watson
#好莱坞
#伙计在哪里
#演员
#名人
#embedding
#女孩们
#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))"

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J
公告
2023-04-29
发布模型
2023-10-09
更新模型信息
模型详情
类型
TextualInversion
发布时间
2023-10-09
基础模型
SD 1.5
触发词
emwats0n
复制
版本介绍

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

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来源: civitai

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