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Lhotse Mountain in Rain: Digital Painting with 3D Rendered E...
Lhotse Mountain in Rain: Digital Painting with 3D Rendered E...
4 years ago

Lhotse in a rainy day

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

Stable Diffusion 1.5Stable Diffusion 1.5

#landscape#beautiful#mountain#open-prompt#open-prompt-gang
Thank you.Happy 🐰 year! My best:
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Resumen de creación por Vincent

Lhotse Mountain in Rain: Digital Painting with 3D Rendered E...

A stunning image of Lhotse mountain shrouded in mist on a rainy day. This artwork employs cool analogous colors and 3D shading techniques to capture the sheer cliffs and glaciers in an alpine landscape.

Creado por greatday4everyone el Jan 22, 2023 usando el modelo generador de imágenes de IA Stable Diffusion 1.5.


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Waw amazing
2023-01-22T14:37:51.209ZReply
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Configuraciones de Creación

Prompts de texto
A hyperdetailed painting of Lhotse in a rainy day, showcasing the unique sheer cliffs and steep glaciers that are a defining feature of the mountain, as well as the mist and clouds that can be found throughout the area. By artists WALTER BAIER, GALEN ROWELL, SANDU LIBERMAN, REINHOLD MESSNER and EDWIN ...
Weight: 1
The painting showcases elements of ALPINE ART, LANDSCAPE and ROMANTICISM and draws inspiration from the NEPALESE ART and CULTURAL LANDSCAPE genres.
Weight: 1
Use DIGITAL ART, OIL ON CANVAS, AND PENCIL SKETCH as your mediums and techniques, and 3D SHADING, RENDERED IN BLENDER, AND VRAY as your design tools.
Weight: 1
The colors should be ANALOGOUS COLORS, COOL COLORS, AND ORANGE AND TEAL. The final product should be in 8K 3D,8K RESOLUTION, TRENDING ON ARTSTATION, CGSOCIETY
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

16:9

Tiempo de ejecución

Short

Peso global del Prompt

50%

Método de muestreo

K_LMS


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