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Hyperrealistic Portrait of a Stock Flower as Fine Art

greatday4everyone @aihobbyist

3 years ago

Insanely detailed hyperrealistic close-up portrait painting of a beautiful Stock flower in natural state;

Creado hace 3 years ago · 2 comentarios· 0 Me gusta

Stable Diffusion 1.5

#greatday4every1 #stock #flower #closeup #beautiful

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Resumen de Creación por Vincent

Hyperrealistic Portrait of a Stock Flower as Fine Art

A hyperrealistic close-up painting of a Stock flower. The artwork emphasizes the flower's intricate stamen, velvety petals, and graceful appearance. The piece employs oil painting techniques and a soft, warm backlight.

Creado por greatday4everyone el Feb 10, 2023 usando el modelo generador de imágenes de IA Stable Diffusion 1.5.

2 comentarios

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Lucy @artsy

Wow! Following

2023-02-10T21:25:31.266ZReply

Pink bunny @Preppybunny

This is so pretty! Im giving u a follow

2023-02-10T21:04:24.381ZReply

Configuraciones de Creación

Prompts de texto: Insanely detailed hyperrealistic close-up portrait painting of a beautiful Stock flower in natural state;
Weight: 1
appearance: Delicate and graceful, with velvety petals and intricate stamen;
Weight: 1
Genres: Fine Art, Realism;
Weight: 1
Styles: Hyperrealism, Naturalism;
Weight: 1
Techniques: Oil Painting, Dry Brushing, Glazing;
Weight: 1
Light settings: Soft, Warm, Backlight;
Weight: 1
Colors: Soft pink, warm purple, earthy green;
Weight: 1
Descriptive terms: Intricate, Delicate, Graceful, Elegant, Fragile;
Weight: 1
by Artists: Trevor Jenkins, Richard Schmid, Jacob Collins, David Jon Kassan, Chuck Close;
Weight: 1
8K 3D, CGSociety, trending on Artstation, 8K resolution
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: CKPT
Stable Diffusion 1.5
Resolución inicial: Thumb
Relación de aspecto: 1:1
Tiempo de ejecución: Short
Peso global del Prompt: 100%
Peso del Ruido: 0%
Método de muestreo: K_LMS