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Vibrant Mountain Landscape in Spring, Hyperrealistic Fantasy...
Vibrant Mountain Landscape in Spring, Hyperrealistic Fantasy...
4 years ago

a beautiful landscape, mountains,cliffs, peaks, forest, valley, rivers,lakes, rocks, trees,sunshine, aerial view, long exposure,golden hour,...

Creado hace 4 years ago · 2 comentarios· 0 Me gusta

Stable Diffusion 1.5Stable Diffusion 1.5

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Resumen de Creación por Vincent

Vibrant Mountain Landscape in Spring, Hyperrealistic Fantasy...

This image shows a brightly colored springtime landscape featuring mountains, cliffs, and a forest valley, rendered with hyperrealistic detail and an aerial perspective, in a fantasy art style.

Creado por greatday4everyone el Jan 3, 2023 usando el modelo generador de imágenes de IA Stable Diffusion 1.5.


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2023-01-03T00:51:11.183ZReply

Configuraciones de Creación

Prompts de texto
a beautiful landscape, mountains,cliffs, peaks, forest, valley, rivers,lakes, rocks, trees,sunshine, aerial view, long exposure,golden hour, brightly-colored,spring. by Caspar David Friedrich ,Thomas Kinkade, Greg Rutkowski
Weight: 1
with a beautiful hyper realistic detailled matte painting of a mountain path at the bottom of a grassy canyon that lead to a temple of life, by John Howe and Moebius and Bastien Lecouffe Deharme and Andreas Rocha, trending on artstation, barometric projection,
Weight: 1
focal featured on cgsociety, aerial view, wide angle landscape, ISO 100, f/32, fantasy art, 8k, by geof darrow, David Noren, jordan grimmer, tyler edlin breathtaking artwork by Naoto Hattori Jean Baptiste monge, Brian Kesinger, James Jean, Jeremy Mann
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

9:16

Tiempo de ejecución

Short

Peso global del Prompt

90%

Peso del Ruido

30%

Método de muestreo

K_LMS


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