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Cats Smoking Hookah: Detailed Digital Art
Cats Smoking Hookah: Detailed Digital Art
4 years ago

Solving fission

Creado hace 4 years ago · 3 comentarios· 0 Me gusta

Stable Diffusion 1.5Stable Diffusion 1.58x

Daily Challenge #68:The Secret Life of Pets

Avatar de Vincent
Resumen de creación por Vincent

Cats Smoking Hookah: Detailed Digital Art

A vibrant and detailed image of cats enjoying hookah and dice games. The artwork features dynamic lighting, intricate details, and a rich color palette, reminiscent of trending digital art.

Creado por Rotheboatqueen el Dec 19, 2022 usando el modelo generador de imágenes de IA Stable Diffusion 1.5.


Imágenes de Progreso

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Fabulous - following!
2023-04-10T09:06:02.510ZReply
Cute🖤

Configuraciones de Creación

Prompts de texto
Cats smoking, cats smoking hookah, super detailed, full color, hyperdetailed, 8k resolution concept art portrait by Greg Rutkowski, Artgerm, WLOP, Alphonse Mucha dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine 5 volumetric lighting
Weight: 1.8
Cats smoking hookah, cats smoking pipes, 8k resolution concept art by Greg Rutkowski dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine 5 volumetric lighting Alphonse Mucha WLOP Jordan Grimmer orange and teal
Weight: 1.5
Cats playing dice 8k resolution concept art by Greg Rutkowski dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine 5 volumetric lighting Alphonse Mucha WLOP Jordan Grimmer orange and teal
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

60%

Peso del Ruido

80%

Método de muestreo

K_LMS


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