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2 years ago
Jesus laughing
Creado hace 2 years ago · 2 comentarios· 0 Me gusta
SDXL 1.0
Resumen de Creación por Vincent
Jesus Laughing: Detailed Matte Painting
This image shows a joyful depiction of Jesus laughing. Rendered with intricate detail and deep colors, the image evokes fantasy concept art with complementary colors in 8k resolution.
Creado por Etaine el Mar 1, 2024 usando el modelo generador de imágenes de IA SDXL 1.0.
2 comentarios
Únete a la conversación
Coco Lasticot @Cocolasticot
Being obliged to work within the constraints of Nightcafé, I wasn't able to pass on all the information some people would have liked. I'll try to do so here.
To review the completed challenge, click here :
To join the chatroom and sign up for the new challenge, click here :
And the open prompt images you can use as inspiration are here :
2024-03-11T07:54:43.378ZReply
On the whole, the latest challenge was a success. Many thanks to the participants who submitted a design (almost 700) and to those who voted for the designs (almost 450). Almost all the artworks were magnificent, and the challenge ended without a single bug !
For those who want to continue the adventure, please don't leave the chatroom: I've renamed it to expand the challenge possibilities: it's now the "Emotions" challenge.
For the next game, the theme is "Mischievous faces". Please feel free to join us. For those of you who find the theme a little daunting, in the challenge instructions I've linked you to some sample open prompt images for inspiration.
I wish you all much joy in your Nightcafé experience,
Your humble servant,
Coco
Configuraciones de Creación
- Estilo de preajuste
NightCafe
- Prompts de texto
- Jesus laughingWeight: 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
- Modelo
CKPT- 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
