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Generate Portraits of Graceful Women with AI

Create your own portraits of graceful women with our free AI image generator. It's easy and fun!

Elegant Woman Portrait in Detailed Matte Painting Style
Elegant Woman Portrait in Detailed Matte Painting Style
PRO
3 years ago

Portrait of a graceful young woman

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

Stable Diffusion 1.5Stable Diffusion 1.52x

#portrait#beauty#female#girl#pastel
NC, please add the ability to customise the appearance of the previews! Horizontal and vertical artwork looks just awful in the feed!
#open-prompt-gang You can use my artwork and prompts as you wish. [My best artwork:]
[My Custom Prompt Library:]
[Other collections] Portraits of girls:
Portraits of Mighty Warriors:
Animals:
Artwork in horror style:
Cities/Landscapes:
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Resumen de Creación por Vincent

Elegant Woman Portrait in Detailed Matte Painting Style

This image shows a graceful young woman in a detailed portrait. The artwork features dynamic lighting, hyperdetailed textures, and volumetric lighting, rendered in a maximalist style.

Creado por Shuru el May 4, 2023 usando el modelo generador de imágenes de IA Stable Diffusion 1.5.


Imágenes de Progreso

3 comentarios

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Anonymous User
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PRO
Magnificent !
2023-06-02T12:30:37.971ZReply
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Configuraciones de Creación

Prompts de texto
Portrait of a graceful young woman by Serge Marshennikov, by Sergey Musin, by Serge Birault:: 8k resolution concept art, detailed matte painting, dynamic lighting, hyperdetailed, maximalist intricately detailed, trending on Artstation, Unreal Engine 5, Unity 3D, CryEngine, IMAX, Octane Render, finalRender, ...
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

9:16

Tiempo de ejecución

Short

Peso global del Prompt

50%

Peso del Ruido

30%

Método de muestreo

K_LMS


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