Generate images of mourning with AI
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Mourning
Creado hace 2 years ago · 2 comentarios· 0 Me gusta
SDXL 1.0
Ethereal Elf Woman Mourning by Moonlit River
A sorrowful, silver-haired elf kneels by a sparkling river under a full moon. The image shows a digital nighttime watercolor illustration with soft pastel colors, in an ethereal fantasy style.
Creado por Krizza el Jun 3, 2024 usando el modelo generador de imágenes de IA SDXL 1.0.
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Configuraciones de Creación
- Prompt de Fix Faces
"Hyperdetailed mythical ethereal silver-haired Elf-woman, kneeling on a boulder, at the bank of a sparkling rocky river at night. Mourning. Sad. Textured water. Full golden moon, beautiful golden glints and sparkles on the water. Dark fantasy. Moody, magical, enchanting. Exquisite face. Luminous. Digital nighttime watercolor Illustration, by Waterhouse, Carne Griffiths, Andrey Bobir, James R Eads. Stylized watercolor art, Intricate, Complex contrast, soft flowery warm pastel colors, ..."
Peso: 1- Creatividad
70%
- Prompts de texto
- Hyperdetailed mythical ethereal silver-haired Elf-woman, kneeling on a boulder, at the bank of a sparkling rocky river at night. Mourning. Sad. Textured water. Full golden moon, beautiful golden glints and sparkles on the water. Dark fantasy. Moody, magical, enchanting. Exquisite face. Luminous.Weight: 1Digital nighttime watercolor Illustration, by Waterhouse, Carne Griffiths, Andrey Bobir, James R Eads. Stylized watercolor art, Intricate, Complex contrast, soft flowery warm pastel colors, wide long shot, perfect masterpiece, ultra-deep background. ethereal fantasy hyperdetailed mist stars full moon ...Weight: 1two moons, 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, draftWeight: -3
- Modelo
CKPT- Resolución inicial
Medium
- Relación de aspecto
1:1
- Tiempo de ejecución
Short
- Peso global del Prompt
50%
- Peso del Refinador
50%
- Peso del Ruido
65%
- Método de muestreo
K_DPMPP_2M
