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Create Your Own Greek Mythology Scenes with AI
Transform your imagination into stunning images of Mount Olympus and other Greek mythological landscapes, all for free and with ease.
3 years ago
Mount Olympus
Creado hace 3 years ago · 164 comentarios· 0 Me gusta·🪙💰💸🤑💵 100
SDXL 1.06x
Resumen de creación por Vincent
Epic Olympus City in a Hyperdetailed Fantasy Style
A breathtaking view of the mythical Mount Olympus. This stunning image showcases a hyperdetailed fantasy city with Greek architecture, cascading waterfalls, and dramatic lighting in vibrant colors.
Creado por Nate River el Aug 22, 2023 usando el modelo generador de imágenes de IA SDXL 1.0.
Imágenes de Progreso
164 comentarios
Únete a la conversación
P_A_D @PrincipianteArteDigitale
seguito
2024-02-03T16:01:10.018ZReply
Nice work! 😍👏🏽 How about this challenge: I'm hosting a "Flying Castles, Towns, Cities etc." challenge: . You may join in if you are interested 😊 (Sorry if I've already sent you an invitation...)
Configuraciones de Creación
- Prompts de texto
- Epic detailed centered Olympus city with Greek-style marble columns and buildings surrounded by clouds!!!! Crystal-clear waterfalls!!!! maximalist hyperdetailed fantasy masterwork by Kim Jung Gi, Yoshitaka Amano, Android Jones, Jeremy Mann, masterpiece, vibrant triadic colors, ambient occlusion, dramatic ...Weight: 3Liz Gael, bad anatomy, poorly drawn hands, poorly drawn face, Empty Background, Watermark, Signature, Text, amateur blurred blurry body out of frame border cut off deformed disfigured draft extra limbs frame grainy out of frame poorly drawn face poorly drawn feet poorly drawn hands signature tiling ugly ...Weight: -1ugly, 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: -0.3
- Modelo
CKPT- Resolución inicial
Medium
- Relación de aspecto
4:3
- Tiempo de ejecución
Short
- Peso global del Prompt
90%
- Peso del Ruido
70%
- Método de muestreo
K_DPMPP_2M
