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3 years ago
Elegance Line
Creado hace 3 years ago · 6 comentarios· 0 Me gusta
SDXL 1.07.8x
Dear Community, I have had the idea for some time that my figures will be exclusively modest, completely covered and always wearing the headscarf and long robes or long skirts. Some of them will also be face-covered. I have not yet managed to get a clear opinion. So I thought I would stop posting for a while and get an opinion with a survey. Make a comment with "Covered" if you want it to be exclusively modest from now on. Comment with "mixed" if you want the mix to continue. If the majority votes for covered, after the poll all figures will be covered complett forever! I am curious about your opinions and wait until there are 20 comments...
Best wishes and many thanks to all who vote! ❤🙏
Resumen de Creación por Vincent
German Woman in Hijab and Wedding Dress, Digital Art
This image features a strikingly beautiful woman in a hijab and wedding dress. The digital art showcases intricate details, professional photography techniques, and a cinematic feel with volumetric lighting.
Creado por NovaleesPortraits el Aug 20, 2023 usando el modelo generador de imágenes de IA SDXL 1.0.
Imágenes de Progreso
6 comentarios
Únete a la conversación
Livia @Reali-Livia
Love !
2023-08-27T16:17:38.697ZReply
Such a beautiful face... and the lace is nicely done!
The lace is awesome!!!!!!!!!!!!!!!!!! such detail!!! Love her! ❤❤❤❤❤
Configuraciones de Creación
- Prompts de texto
- A hyperrealistic beautiful german woman age 20s, wearing hijab and beautiful wedding dress, exotic, stunning, well lit, extremely detailed, intricate, delicate, eye catching, studio shoot, portrait, cinematic, fractal art, isometric, digital art, smog, 3d render, octane render, volumetrics, greg rutkowski, ...Weight: 1Professional photography, bokeh, natural lighting, canon lens, shot on dslr 64 megapixels sharp focusWeight: 0.9
- Modelo
CKPT- Resolución inicial
Medium
- Relación de aspecto
1:1
- Tiempo de ejecución
Short
- Peso global del Prompt
90%
- Peso del Ruido
10%
- Método de muestreo
K_DPMPP_2M
