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Fantasy Girl in Lilac Hues: A Magical Painting
Fantasy Girl in Lilac Hues: A Magical Painting
3 years ago

Crystabel

Creado hace 3 years ago · 6 comentarios· 0 Me gusta

Stable Diffusion 2.0Stable Diffusion 2.0

#forestdwellers#collaborativeart#magicalnature#boutoo#open-prompt-gang
A beautiful forest dweller
Massive thanks to @MyDarkling for sharing her Vivien
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Resumen de Creación por Vincent

Fantasy Girl in Lilac Hues: A Magical Painting

A striking picture of a fantasy girl with flowing hair in shades of purple. The image is a magical painting with soft, muted colors, reminiscent of art nouveau and surrealist styles.

Creado por Bou el Mar 13, 2023 usando el modelo generador de imágenes de IA Stable Diffusion 2.0.


6 comentarios

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This is awesome Bou! Love the face and hair, and such beautiful adornments! Lovely results. 🙂💗
2023-05-20T09:17:12.922ZReply
💜
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Configuraciones de Creación

Prompts de texto
@MyDarkling creation, if evolving please leave the prompts open for others too 🥰
Magical fantasy painting in soft and muted colors of a beautiful girl with big wild wavy fluid hair in hues of lilac lavender and purple, dressed in diaphanous silver leaf shimmer; by artist "Tran Nguyen" Chris Mars and Jasmine Becket-Griffith and Tim Burton
Weight: 1
Alphonse Mucha, Amanda Sage, Dan Mumford, Studio Ghibli, hyperdetailed Jim Burns Josephine Wall Kelly Freas, enchanted, picturesque, mighty, glorious, detailed full body shot grand, mysterious, wondrous, sci-fi, misty, dark, colorful, complex outstanding, detailed, heterochromic, metallic, synthetic, ...
Weight: 1
Post apocalyptic wonderland
Weight: 0.7
@MyDarkling @Boutoo
ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft
Weight: -0.3
Modelo
Stable Diffusion 2.0
CKPT

Stable Diffusion 2.0

Resolución inicial

Low

Relación de aspecto

3:4

Tiempo de ejecución

Short

Peso global del Prompt

80%

Peso del Ruido

80%

Método de muestreo

K_HEUN


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