Create AI images inspired by Carmina Burana
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2 years ago
The Carmina Burana (English translation of the Latin lyrics) as interpreted by SDXL 1.0 -- Fantasy preset (11/40)
Creado hace 2 years ago · 2 comentarios· 0 Me gusta
SDXL 1.0
As always, look at the creation relative to the whole series. While this series in SDXL 1.0 expressed more variation than some of the others, note that every image still manages to conform with elements the shared composition. One reason for the variation might be that I added the standard negative prompt and some style guidance (the same for each image). Every image is a one-take perfect creation but for two examples that are marked.
Resumen de Creación por Vincent
Ethereal Fantasy: Fortune's Changeable Moon in Hyperdetail
This image shows a dreamlike, hyperdetailed scene inspired by ethereal fantasy art. Soft mist and glowing light enhance the composition, reminiscent of a Thomas Kinkade painting. It evokes feelings of vulnerability.
Creado por The Catdad of ElsieCatMC el Mar 17, 2024 usando el modelo generador de imágenes de IA SDXL 1.0.
2 comentarios
Únete a la conversación
Math Girl @Mathgrl
Oohh! My very favorite, so far! Love this...
2024-06-24T05:54:42.759ZReply
Configuraciones de Creación
- Estilo de preajuste
Fantasy
- Prompts de texto
- O Fortune, like the moon you are changeable, ever waxing ever waning; hateful life first oppresses and then soothes playing with mental clarity; poverty and power it melts them like ice. Fate – monstrous and empty, you whirling wheel, you are malevolent, devoid of security and ever fading to nothing, ...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: -0.3ethereal fantasy hyperdetailed mist Thomas KinkadeWeight: 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
