NightCafe AI Art
Crear

Generate your own dog images with AI

Create your own adorable dog images with our free AI image generator. It's fun and easy!

Dog by Pond in Forest, Painterly Style
Dog by Pond in Forest, Painterly Style
a year ago

The Dog

Creado hace a year ago · 1 comentario· 0 Me gusta

Crystal Clear XL1.5xClarity 1.5x

#open-prompt-gang#dog
Avatar de Vincent
Resumen de creación por Vincent

Dog by Pond in Forest, Painterly Style

This image shows a dog sitting near a pond, surrounded by a dense forest. The scene is illuminated by twilight sun rays, rendered in a detailed, painterly style.

Creado por randomart el May 12, 2025 usando el modelo generador de imágenes de IA Crystal Clear XL.


1 comentario

Únete a la conversación

Anonymous User
Sort: Most recent
Thank you so so much for participating in my challenge! 💕 Your creation is amazing and I hope you had fun! 😊 Here is my next challenge:
I would be very happy if you would also support my smaller challenge :)
Please only reply if you have questions, because I can't answer to all of your messages. Thank you :)
2025-05-26T09:55:38.687ZReply

Configuraciones de Creación

Modelo
Clarity Upscaler
CKPT

Clarity Upscaler

Imagen inicial
The Dog
Escalar Prompt
Dog next to pond in dense forest, twilight sun rays, Pascale Campion, Thomas W Schaller, Ismail Inceoglu, Jasmine Becket-Griffith
Creatividad

75%

Configuración de la creación original

Prompts de texto
Dog next to pond in dense forest, twilight sun rays, Pascale Campion, Thomas W Schaller, Ismail Inceoglu, Jasmine Becket-Griffith
Weight: 1
Monochromatic || monochrome || 2D || Low Quality || text logos || watermarks || signatures || out of frame || jpeg artifacts || ugly || poorly drawn || extra limbs || extra_hands || extra feet || backward limbs || extra fingers || extra toes || unrealistic, incorrect, bad anatomy || cut off body pieces ...
Weight: -0.9
Modelo
Resolución inicial

Medium

Relación de aspecto

4:3

Tiempo de ejecución

Short

Peso global del Prompt

65%

Peso del Refinador

15%

Método de muestreo

K_DPMPP_2M