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

Emma Watson (JG)

153
15
63
#person
#Perempuan
#textual inversion
#emma watson
#hollywood
#woman
#actress
#celebrity
#embedding
#girls
#real person
#women
#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
Pengumuman
2023-04-29
Memposting model
2023-10-09
Perbarui informasi model
Detail model
Jenis
TextualInversion
Waktu publikasi
2023-10-09
Model Dasar
SD 1.5
Kata Pemicu
emwats0n
Salin
Perkenalan versi

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

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Model Source: civitai

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