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Create Your Own AI Vision of the Future
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2 years ago
The Future We Imagine - AI’s Vision of Tomorrow
Creado hace 2 years ago · 2 comentarios· 0 Me gusta
Virtual Utopia XL
Concept: Let an AI generate its vision of the future, trained on news articles, scientific research, cultural trends, and visionary art. The result could be both utopian and dystopian, giving viewers a multi-dimensional look at what AI “thinks” lies ahead, based on human data and collective hopes and fears.
Resumen de creación por Vincent
Futuristic AI Hybrid Cityscape in Cyberpunk Style
A striking picture of a human-AI hybrid in a sprawling, neon-lit cityscape. Advanced technology and towering robots fill the scene, rendered with volumetric effects in deep blues and oranges, as hyper-realistic digital art.
Creado por PiratePete el Nov 14, 2024 usando el modelo generador de imágenes de IA Virtual Utopia XL.
2 comentarios
Únete a la conversación
Letmein @Letmein
Strong one! Following!
2024-11-14T06:29:22.460ZReply
Configuraciones de Creación
- Estilo de preajuste
NightCafe
- Prompts de texto
- Concept: Let an AI generate its vision of the future, trained on news articles, scientific research, cultural trends, and visionary art. The result could be both utopian and dystopian, giving viewers a multi-dimensional look at what AI “thinks” lies ahead, based on human data and collective hopes and ...Weight: 1detailed matte painting, deep color, fantastical, intricate detail, splash screen, complementary colors, fantasy concept art, 8k resolution trending on Artstation Unreal Engine 5Weight: 0.9
- Prompt revisado
- Cinematic concept art. Medium shot. Human and AI hybrid in a sprawling futuristic city with towering skyscrapers and advanced technology. Low-angle camera. Volumetric mist and light effects. Neon-lit skyscrapers reflecting in wet pavement. Towering humanoid robots in the distant background. Glowing blue ...
- Modelo
- Resolución inicial
Medium
- Relación de aspecto
1:1
- Tiempo de ejecución
Short
- Peso global del Prompt
50%
- Peso del Refinador
50%
- Método de muestreo
K_DPMPP_2M
