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Candy Metropolis: A Dreamlike Pastel Fantasy Landscape
Candy Metropolis: A Dreamlike Pastel Fantasy Landscape
2 years ago

A insanely detailed fantastical dreamy fairy beautiful heavenly landscape painting of a city, featuring an otherworldly metropolis made enti...

Creado hace 2 years ago · 0 comentarios· 0 Me gusta

Juggernaut XL v7

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Resumen de creación por Vincent

Candy Metropolis: A Dreamlike Pastel Fantasy Landscape

A striking picture of a fantastical candy metropolis with sugar spires and gingerbread houses. The pastel-colored city is bathed in warm light, creating a whimsical and dreamy surreal landscape painting.

Creado por Note Score Production el May 15, 2024 usando el modelo generador de imágenes de IA Juggernaut XL v7.


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Configuraciones de Creación

Prompts de texto
A insanely detailed fantastical dreamy fairy beautiful heavenly landscape painting of a city, featuring an otherworldly metropolis made entirely of pastel colored candy, where sugar spires and gingerbread houses tower over streets lined with lollipop lampposts and candy cane trees.
Weight: 1.3
The sky is a swirl of cotton candy clouds, and the city is bathed in a warm, ethereal light. Colors: pastel pink, blue, purple, yellow, green; Genres: fantasy, surreal; Styles: painterly, dreamlike; Techniques: use of texture and layering; Light settings: warm and ethereal;
Weight: 0.5
Descriptive terms: whimsical, dreamy, enchanted, candy-coated, sugary;Artists: Yoshitaka Amano, Brian Froud, Hayao Miyazaki, Bao Pham, and Camille Rose Garcia. 8K 3D, Unreal Engine 5, CGSociety, trending on Artstation, 8K resolution
Weight: 1.2
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
Juggernaut XL v7
CKPT

Juggernaut XL v7

Resolución inicial

Medium

Relación de aspecto

1:1

Tiempo de ejecución

Long

Peso global del Prompt

90%

Peso del Refinador

50%

Peso del Ruido

30%

Método de muestreo

K_DPMPP_2M


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