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Oceanic Dragon in Flight: Hyperdetailed 3D Rendering
Oceanic Dragon in Flight: Hyperdetailed 3D Rendering
4 years ago

Dragon's roosting grounds

Creado hace 4 years ago · 6 comentarios· 0 Me gusta

Stable Diffusion 1.5Stable Diffusion 1.5

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Resumen de creación por Vincent

Oceanic Dragon in Flight: Hyperdetailed 3D Rendering

A breathtaking view of a dragon soaring above the ocean. The dragon features intricate detailing and is rendered with ultra-sharp focus, creating an awe-inspiring, magical scene with natural lighting and deep shadows as 3D digital art.

Creado por Voidborn_Entity el Feb 2, 2023 usando el modelo generador de imágenes de IA Stable Diffusion 1.5.


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Of three queens blister blaze and burn two shall die and one shall learn if she bows to a fate that is stronger and higher shell have the powers of wings of fire. Five eggs to hatch on a brightest night, Five dragons born to end the fight Darkness will rise to bring the light.
2023-02-02T20:30:35.154ZReply
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Configuraciones de Creación

Prompts de texto
Dragon Flying over an Ocean, An Oceanic Dragon, Beautifully intricate Detailing, Hyper detailed, Ultra Sharp focus, 16k resolution, Anime Key Visual Stars, sparkles, magical, mystical, beautiful, nature, onibi, natural lighting, deep shadows, 3D shading, awe-inspiring, Focal point centered
Weight: 1
3D Shading and Depth, oil painting by James Gurney 8k resolution holographic astral cosmic illustration mixed media by Pablo Amaringo sinister by Greg Rutkowski ethereal fantasy hyperdetailed mist Thomas Kinkade trending on Artstation Unreal Engine 3D shading shadow depth horror Gustave Doré Greg Rutkowski ...
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
Weight: -0.3
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%

Método de muestreo

K_LMS


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