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Generate weregoat witches in a mystic forest

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Weregoat Witch in Mystic Forest: Digital Art
Weregoat Witch in Mystic Forest: Digital Art
3 years ago

monstrous weregoat witch walking down the magenta glowing path in the mystic forest

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

Stable Diffusion 1.5Stable Diffusion 1.5

based on prompt from /creation/iDYCInDzplpgRXqwtAzB by Dream Catcher @thelordofnothingness
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Resumen de creación por Vincent

Weregoat Witch in Mystic Forest: Digital Art

A striking picture of a monstrous weregoat witch on a glowing path. This ultra-detailed digital artwork features contrasting colors, dynamic lighting and a rich color palette in a dark fantasy aesthetic.

Creado por Marek Lame el Jun 23, 2023 usando el modelo generador de imágenes de IA Stable Diffusion 1.5.


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Configuraciones de Creación

Prompts de texto
monstrous weregoat witch walking down the magenta glowing path in the mystic forest, UHD, masterpiece, highres, intricately detailed, glow, shadows, tanned skin, deep blue colors, pink and blue color palette, contrasting colors, high quality, sharp focus, ultra-realist, hyperrealistic
Weight: 1
High Gothic Horror Towering Monstrous Nightmarish Weregoat by Bernie Wrightson in a dark black and White Forest under an Eclipse
Weight: 1
a masterpiece, 8k resolution, dark fantasy concept art, by Greg Rutkowski, dynamic lighting, hyperdetailed, intricately detailed, Splash screen art, trending on Artstation, deep color, Unreal Engine, volumetric lighting, Alphonse Mucha, Jordan Grimmer, purple and yellow complementary colours
Weight: 0.5
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, extra fingers, extra arm, extra legs, lowres, signature, cut off, draft
Weight: -0.5
Modelo
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Resolución inicial

Thumb

Relación de aspecto

1:1

Tiempo de ejecución

Short

Peso global del Prompt

50%

Peso del Ruido

60%

Método de muestreo

K_LMS


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