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2 years ago
Stellar
Creado hace 2 years ago · 8 comentarios· 0 Me gusta
SDXL 1.0
Inspired by @Elenaand
You too participate by writing a word in the word box.🤷♂️💡🗳 ↓
Resumen de creación por Vincent
Fairy Silhouette in Moonlit Impasto Landscape
A striking picture of a moonlit landscape featuring a fairy silhouette. This mixed media artwork uses impasto techniques and double exposure to create depth and a dreamy, iridescent aesthetic.
Creado por Morkai Art el Jun 28, 2024 usando el modelo generador de imágenes de IA SDXL 1.0.
8 comentarios
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Silentone @Silentone
lovely congratulations
2024-07-07T01:19:34.327ZReply
Oooooh, this is stunning!! Congratulations Morkai! 😍😍🥳🥳🥳
Configuraciones de Creación
- Prompts de texto
- Mixed media impasto double exposure : fairy silhouette moonlit landscape Cinematic, Beautiful Lighting, Parallax, 3d, Incredible Depth Beautiful Striking Creative Imaginative Expressive Vibrant Inspiring Captivating Enchanting Exquisite Majestic Dreamy Whimsical Serene Harmonious trending on Artstation ...Weight: 1signature "Distorted anatomy Disproportionate limbs Clashing colors Poorly blended textures Blurry or pixelated elements Crooked lines Distracting backgrounds Overcrowded composition Unbalanced composition Unintentional symmetry Unnatural lighting Low resolution Oversaturated colors Inconsistent style ...Weight: -1.2""Amazing night sky with Milky way and myriad of stars, hyperdetailed, hyperrealism, cinematic, filmic; epic in scope and scale" 16k HDR"Weight: 0.3signature "Uninspired Weak Static Lifeless Drab Timid Simplistic Lacking detail Unrealistic Generic Predictable Trivial Obvious Unsophisticated Common Fire"Weight: -0.8ugly, 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
4:3
- Tiempo de ejecución
Short
- Peso global del Prompt
100%
- Peso del Refinador
50%
- Método de muestreo
K_DPMPP_2M
