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Generate engagement portraits with AI

Create your own romantic engagement portraits with our free AI image generator. It's easy and fun!

Two Girls Kissing: Hyperdetailed Digital Art Portrait
Two Girls Kissing: Hyperdetailed Digital Art Portrait
3 years ago

Engagement ring ; two girls kissing ; head and shoulders portrait, 8k resolution concept art portrait by Greg Rutkowski, Artgerm, WLOP, Alph...

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

Stable Diffusion 1.5Stable Diffusion 1.5

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Resumen de Creación por Vincent

Two Girls Kissing: Hyperdetailed Digital Art Portrait

This image shows two women kissing, rendered as highly detailed digital art. The portrait features dynamic lighting, intricate details and a vibrant color palette, reminiscent of neo-impressionism.

Creado por Ramequin el Mar 19, 2023 usando el modelo generador de imágenes de IA Stable Diffusion 1.5.


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Configuraciones de Creación

Prompts de texto
Engagement ring ; two girls kissing ; 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
Engagement ring ; two girls kissing ; neo-impressionism expressionist style oil painting, smooth post-impressionist impasto acrylic painting, thick layers of colourful textured paint
Weight: 0.5
Engagement ring ; two girls kissing ; 8k resolution concept art by Greg Rutkowski dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine 5 volumetric lighting Alphonse Mucha WLOP Jordan Grimmer orange and teal
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

1:1

Tiempo de ejecución

Short

Peso global del Prompt

50%

Método de muestreo

K_LMS


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