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Create stunning portraits of young geishas with AI

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Yolandi Visser Geisha Before Godzilla, Hyperrealistic Digita...
Yolandi Visser Geisha Before Godzilla, Hyperrealistic Digita...
4 years ago

Yolandi Visser, Insanely detailed portrait photography of a majestic hot beautiful skinny athletic muscular young woman geisha wearing skimp...

Creado hace 4 years ago · 0 comentarios· 0 Me gusta

Stable Diffusion 1.5Stable Diffusion 1.5

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Resumen de creación por Vincent

Yolandi Visser Geisha Before Godzilla, Hyperrealistic Digita...

A striking picture of Yolandi Visser as a geisha in a skimpy kimono, standing before Godzilla destroying Tokyo. This hyperrealistic digital art features vibrant colors and dynamic lighting.

Creado por Artificial Intelligence Artist el Jan 3, 2023 usando el modelo generador de imágenes de IA Stable Diffusion 1.5.


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Configuraciones de Creación

Prompts de texto
Yolandi Visser, Insanely detailed portrait photography of a majestic hot beautiful skinny athletic muscular young woman geisha wearing skimpy detailed kimono before „Godzilla destroying tokio“, intricate and hyperdetailed painting by Ismail Inceoglu Huang Guangjian and Dan Witz CGSociety ZBrush Central ...
Weight: 3
hyperrealistic hyperdetailed photorealistic :: Intricate, elaborate, Scenic ,16K resolution, sharp focus, Octane render, masterpiece, volumetric lighting, 3d shading, AIA
Weight: 1.6
cybernetically enhanced ragged rough tattered crazy masked enemy Warhammer cybernetically enhanced Intricate elaborate meticulous Incredibly detailed perfect portrait by Luis Royo :: Hyperrealistic hyperdetailed photorealistic :: Gorgeous+Stunning :: (Artgerm), (Guweiz), {Greg Rutkowski}, WLOP, [Leonid ...
Weight: 0.8
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 1.5
CKPT

Stable Diffusion 1.5

Resolución inicial

Thumb

Relación de aspecto

16:9

Tiempo de ejecución

Medium

Peso global del Prompt

100%

Peso del Ruido

100%

Método de muestreo

K_LMS


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