Generate your own dance images with AI
Create your own images of captivating dances with our free AI image generator. It's easy and fun!
2 years ago
The Dance
Creado hace 2 years ago · 3 comentarios· 0 Me gusta
SDXL 1.0
A boy dances in a town square
Resumen de Creación por Vincent
Excited Boy Dancing in Medieval Anime Style
A vibrant anime-style image of a boy joyfully dancing. The artwork captures the essence of medieval times with colorful and intricate details, reminiscent of Garmash's style.
Creado por Hesione el Jun 20, 2024 usando el modelo generador de imágenes de IA SDXL 1.0.
3 comentarios
Únete a la conversación
Little Rainbow @Little_Rainbow
Thank you everyone for taking the time and effort in joining my challenge “Just for Gaining Love 💞 #2” 🤗 All your creations were AMAZING in the eyes 👀 of the beholder!!
Congratulations to the winners!
🥇Richcruise Liu @Hold2046
🥇Doomfrog @Doomfrog
🥉Lu @luadoce1
🥉Lalwen @Little-Lady-Lalwen
Well done, everyone! Don’t forget to spread some love for your favorite creations. 💞
Let's do it again and gain more love, shall we?? ☺️
2026-01-12T08:20:42.145ZReply
💫 Kudos for joining Clean Sweep!
If challenges aren’t entered through the invitation link, they eventually fade out — and this one did too.
Fresh challenges always bring new chances to shine. 🌿
Challenges known — not for what you can post, but for what you can’t. Most aim to be the biggest — I aim to have the best one.
💫 Ars Lumina — Art rises from truth, holding fast to the good.
Configuraciones de Creación
- Prompts de texto
- medieval, excited boy brother throwing his arms in the air, Michael Garmash, anime, beautiful colorful complex detailedWeight: 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- 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
