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Hyperrealistic Wonderland Painting with Lush Forest

greatday4everyone @aihobbyist

4 years ago

Insanely detailed hyperrealistic painting of a wonderland. appearance: A lush and vibrant landscape with a vibrant blue sky and bright suns...

Criado 4 years ago · 0 comentário· 0 curtida

Stable Diffusion 1.5

#greatday4every1 #wonderland #beautiful #landscape

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Resumo da criação por Vincent

Hyperrealistic Wonderland Painting with Lush Forest

A hyperrealistic painting of a vibrant wonderland landscape. The fantasy scene includes a lush forest, wildflowers, mountains, and a sparkling river in rich, pastel colors. The artwork has an ethereal, dreamlike quality.

Criado por greatday4everyone em Feb 7, 2023 usando o modelo Stable Diffusion 1.5 gerador de imagens AI.

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Configurações de Criação

Prompts de texto: Insanely detailed hyperrealistic painting of a wonderland. appearance: A lush and vibrant landscape with a vibrant blue sky and bright sunshine, with a gentle breeze that blows through a dense forest of trees. In the foreground, an array of wildflowers bloom in full color, with a clear, sparkling river ...
Weight: 1
In the distance, towering mountains rise, with a misty waterfall cascading down its cliffs; environment: Lush and vivid with a blend of light and shadow; Genres: Fantasy, Surrealism; Styles: Hyperrealistic; Techniques: Airbrush, Glazing, Detail-oriented; Lights: Bright and Vibrant, Sunlight;
Weight: 1
Colors: Rich and Vibrant, Pastel Tones; Descriptive terms: Ethereal, Dreamlike, Majestic, Lush, Serene; by Artists: Matt Sutton, Ryan Church, Tran Nguyen, Jock Mooney, Mark Podwal; 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
Resolução inicial: Thumb
Proporção: 1:1
Tempo de execução: Short
Peso Geral do Prompt: 100%
Peso do Ruído: 0%
Método de amostragem: K_LMS