Generate hidden nature scenes with AI
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2 years ago
Hidden Beauty 🌸 🌿 💚
Creado hace 2 years ago · 3 comentarios· 0 Me gusta
Juggernaut XL v5
Dear followers 👑🧕❤
I am currently trying to get closer to the goal of the project. From now on, my characters will consistently have hidden faces. Please motivate and remind me to stick with it. Encourage me to stick with it. That would be a super great support and would give me strength. I would appreciate it so much! 💪👑🧕❤
Best wishes and thank you for your support! 🙏🙏🙏
Resumen de creación por Vincent
Stylish Woman with Facemask in Botanic Garden
This image shows a stylish woman in a hijab and facemask walking through a botanical garden. The digital art is rendered in soft colors with dynamic lighting.
Creado por The Modesty Project el May 21, 2024 usando el modelo generador de imágenes de IA Juggernaut XL v5.
3 comentarios
Únete a la conversación
Pioma @Pioma
🪙 1
yeah, this project is awsome
2024-05-22T18:49:01.393ZReply
Configuraciones de Creación
- Prompts de texto
- (Covered_face:1.3) Head and shoulders portrait of a 30 years old curvy european hijabi stylish woman, hijab, facemask, (fabric_facemask:1.2), friendly, white_loose-modest gown, walking trough a lovley botanic garden, detailed watercolor, ink drawing, pretty, (detailed_oil_guache_melting_painting:1.3), ...Weight: 2.4head 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 lightingWeight: 0.9ugly, 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, ugly eyes, additional legs (uncovered_face:1.3)Weight: -1.8
- Modelo
CKPT- Resolución inicial
Medium
- Relación de aspecto
1:1
- Tiempo de ejecución
Short
- Peso global del Prompt
75%
- Peso del Refinador
50%
- Peso del Ruido
30%
- Método de muestreo
K_DPMPP_2M
