Generate fiery rain scenes with AI
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3 years ago
Set fire to the Rain
Creado hace 3 years ago · 6 comentarios· 0 Me gusta
SDXL 1.0 + 4 addons7.8x
Resumen de creación por Vincent
Fiery Rain Collage in Surreal Glitchcore Style
A vibrant, surreal double exposure collage of rain ablaze against a starry night sky. Silhouette art elements and glitchcore effects enhance this fantasy illustration in a hyperdetailed style.
Creado por Artificial Artistry el Mar 28, 2024 usando el modelo generador de imágenes de IA SDXL 1.0 + 4 addons.
Imágenes de Progreso
6 comentarios
Únete a la conversación
Denise Fulks @DFArtist1
Very Cool!
2024-04-03T01:15:44.714ZReply
Thank you so so much for taking part, your creation is incredible!!
And thank you all who came back to vote!! We have an Absolute beautiful winner, congratulations @Mindful THE KB
Amazing entries everyone, well done to all who placed, the new one is up ready in this same room, please folks, let's see some new work, no entering same image over and over, I will reject them, you all have brand new amazing artwork, let's see it 😍😍😍😍
Results for this one are here if you wanna go show love to the winners and fellow creators
See you in the next one
🖤💀DaRkLiNg💀🖤
Configuraciones de Creación
- Prompts de texto
- Set fire to the Rain , macabre, made of stars on a starry night double exposure collage art illustration, silhouette art, moon, fantasy, stars, hdr, vibrant, surrealism, glitchcore, hyperdetailed, hypermaximalist illustration by Meg Chikhani, Victo Ngai, Rlon, Andreas Lie, Android Jones <lora:Macabre:1.0> ...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: -0.3
- Modelo
CKPT- Modelos complementarios
LoRA
adansito
LoRA
NightCafe Studio
LoRA
Miko
LoRA
Christopher Exben- Resolución inicial
Medium
- Relación de aspecto
1:1
- Tiempo de ejecución
Short
- Peso global del Prompt
35%
- Peso del Ruido
0%
- Método de muestreo
K_DPMPP_2M
