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Design a London 'After Humans' AI Image

Create your own post-apocalyptic visions of famous cities. It's free and easy to generate stunning AI images.

Post-Apocalyptic London Reclaimed by Nature
Post-Apocalyptic London Reclaimed by Nature
PRO
3 years ago

London, after humans

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

Stable Diffusion 1.5Stable Diffusion 1.5

#bdlh#london#open-prompt-gang

Daily Challenge #152:A World Without People

a post-apocalypse crumbling London, vines cover ruined Big Ben, city overgrown with vines and wolves in Westminster, insanely detailed dysto...
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Resumen de Creación por Vincent

Post-Apocalyptic London Reclaimed by Nature

This image shows a crumbling, post-apocalyptic London reclaimed by nature. Vines cover Big Ben and wolves roam Westminster in this highly detailed dystopian vision with natural lighting and radiant sunshine.

Creado por Beps el Mar 14, 2023 usando el modelo generador de imágenes de IA Stable Diffusion 1.5.


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Configuraciones de Creación

Prompts de texto
a post-apocalypse crumbling London, vines cover ruined Big Ben, city overgrown with vines and wolves in Westminster, insanely detailed dystopian, natural lighting, centered, sunshine rays, by Greg Rutkowski, Conrad Shaw, by Nick Stath, 8k resolution concept art Unreal Engine
Weight: 1.2
hyperdetailed crumbling Big Ben and eroding Westminster, insanely detailed vibrant nature reclaimed post-apocalyptic London hyperdetailed lavish vines and plants, crumbling buildings, radiant, beautiful, complex, WLOP, a masterpiece, 8k resolution, sharp focus,
Weight: 1.3
fantasy concept art, by Greg Rutkowski, dynamic lighting, hyperdetailed, trending on Artstation, deep color, Unreal Engine, volumetric lighting, Alphonse Mucha, Jordan Grimmer, complementary colours, 8k resolution
Weight: 1.2
people, dark, gloomy, suspense, 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: -0.4
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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