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Generate Your Own Images of 'All That Remains'
Create your own evocative images of loss and resilience with our free AI image generator. It's easy and inspiring!
2 years ago
All That Remains
Creado hace 2 years ago · 7 comentarios· 0 Me gusta
SDXL 1.01.5xClarity 1.5x
Resumen de creación por Vincent
Impressionistic Robot in Ruined City with Flower
This image shows a desolate scene with a humanoid robot sitting on the ground in a ruined city. The robot holds a flower in its hand, rendered with soft, impressionistic brushstrokes and pastel colors.
Creado por Xyloto el Nov 11, 2024 usando el modelo generador de imágenes de IA SDXL 1.0.
7 comentarios
Únete a la conversación
Neil Leder @shrink57
Stunning and powerful image 💖💖💖
2024-11-24T21:40:50.665ZReply
Artist
Humans created robots and they lived peaceful together. But as days and years went by, robots became more advanced. Soon they became self-aware, aware that the humans are using them. Using them likes mindless slaves to do whatever they want. So the robots started to rebel and form a rebellion. Planning to fight for their rights, which could led to war. But a one of its kind prototype robot (developed to resist super high levels of radiation) didn't want to go to war. It knew that war would only bring death and destruction to both sides.
Configuraciones de Creación
- Modelo
CKPT- Imagen inicial
- Escalar Prompt
- a soft, impressionistic portrait of a lonely human like futuristic robot setting on the ground and holding a flower in a destroyed city with realistic features, using gentle brushstrokes and a pastel color palette
- Creatividad
30%
Configuración de la creación original
- Prompts de texto
- a soft, impressionistic portrait of a lonely human like futuristic robot setting on the ground and holding a flower in a destroyed city with realistic features, using gentle brushstrokes and a pastel color paletteWeight: 1
- Modelo
CKPT- Resolución inicial
Medium
- Relación de aspecto
1:1
- Tiempo de ejecución
Long
- Peso global del Prompt
50%
- Peso del Refinador
50%
- Método de muestreo
K_DPMPP_2M
