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Gas Mask Portrait in Hyperdetailed Art Style
Gas Mask Portrait in Hyperdetailed Art Style
3 years ago

A step back in time | Chapter One ~ Section Three

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

Stable Diffusion 1.5Stable Diffusion 1.5

#story#lore#toxic#gas#warfare
Like with any decision, there were of course people who resisted the IPMC. They wanted to believe that gas masks would protect them. They did not sign up and began working to build underground bunkers to try and survive out of- they weren't going to give up on Earth so easily. They would later evolve into what we now know as Dustkine.
In the year 2027, when the major "Dust Scrappers" gang was formed to resist the IPMC, almost all members were killed by radiation as they refused to remain indoors in high-risk areas. However, they are still around.
This art is part of an effort to develop a universe for a novel I'm trying to write. If you'd like to see more art in this universe, and read some story in the descriptions of the art, please go to the collection "
" to read more. I always love feedback and people engaging with my story or leaving suggestions, so interacting with this collection would mean a lot to me.
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Gas Mask Portrait in Hyperdetailed Art Style

A dramatic portrait of a person wearing a gas mask and holding a gun. The image features dynamic lighting, intricate details, and a color palette that creates a visually striking effect.

Creado por Thatgayfrog el May 10, 2023 usando el modelo generador de imágenes de IA Stable Diffusion 1.5.


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Configuraciones de Creación

Prompts de texto
A person with a gas mask and a gun, head and shoulders portrait, 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
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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