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Sinister Woman in Pond, Art Nouveau Style
Sinister Woman in Pond, Art Nouveau Style
4 years ago

Most Epic Fail

Creado hace 4 years ago · 2 comentarios· 0 Me gusta

Stable Diffusion 1.5Stable Diffusion 1.5

Gave me a good laugh so I thought I would share
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Resumen de Creación por Vincent

Sinister Woman in Pond, Art Nouveau Style

This image shows a sinister woman in a pond at night under moonlight. Skulls and water lilies surround her in this macabre yet alluring scene, rendered with dramatic lighting and intricate detail in an Art Nouveau style.

Creado por SunDame el Dec 23, 2022 usando el modelo generador de imágenes de IA Stable Diffusion 1.5.


2 comentarios

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Anonymous User
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wow its just like an alarm that sees whos looking throug it :P
2022-12-25T21:08:27.728ZReply
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Configuraciones de Creación

Prompts de texto
Beautiful sinister woman deep in a pond at night by moonlight, portrait, woman floating in water, water lily, weeping willow, horror, human skulls, creepy, alluring, bright-eyed, macabre, rippling water, nighttime night, uncanny, pool, dripping water, in water,
Weight: 1
Professional photography, canon lens, shot on dslr 64 megapixels sharp focus, portrait and scene, scene, living mist, moon light, Epic, stunning intricate meticulously detailed dramatic atmospheric, dark, realistic chiaroscuro, fantasy photo shoot, Alphonse mucha
Weight: 1
head and torso portrait and background scene, 8k resolution fantasy concept art, Alphonse Mucha dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine 5, scene
Weight: 1
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, face out of frame, cross-eyed,
Weight: -0.4
Modelo
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Resolución inicial

Low

Relación de aspecto

1:1

Tiempo de ejecución

Short

Peso global del Prompt

70%

Peso del Ruido

70%

Método de muestreo

K_LMS


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