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Handsome Latino Model Portrait in Unreal Engine Style
Handsome Latino Model Portrait in Unreal Engine Style
3 years ago

Latino clean-shaven young androgynous, large rear, toned back muscles, handsome pretty beautiful model unbuttoned revealing shirtless, buff...

Criado 3 years ago · 0 comentário· 0 curtida

Stable Diffusion 1.5Stable Diffusion 1.5

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Resumo da Criação por Vincent

Handsome Latino Model Portrait in Unreal Engine Style

This image shows a full body portrait of a muscular, androgynous Latino model with a tanned complexion. The digital art features dynamic lighting, intricate details, and triadic colors.

Criado por Blach Blach em Mar 1, 2023 usando o modelo Stable Diffusion 1.5 gerador de imagens AI.


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Configurações de Criação

Prompts de texto
Latino clean-shaven young androgynous, large rear, toned back muscles, handsome pretty beautiful model unbuttoned revealing shirtless, buff chest, smiling bright charming, slim beautiful attractive, "full view", toned torso, strong legs, thick arms, feet, masculine muscular strong powerful ripped athletic ...
Weight: 2
full body portrait, 8k resolution concept art portrait by Greg Rutkowski, Artgerm, WLOP, Alphonse Mucha dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine 5 volumetric lighting
Weight: 1
head and shoulders portrait, 8k resolution concept art portrait by Greg Rutkowski, Artgerm, WLOP, Alphonse Mucha dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine 5 volumetric lighting
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, poorly drawn eyes, malformed, mutilated, distorted
Weight: -3
Modelo
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Resolução inicial

Thumb

Proporção

1:1

Tempo de execução

Short

Peso Geral do Prompt

50%

Peso do Ruído

70%

Método de amostragem

K_LMS


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