Generate Your Own Waterfall Mountain Art
Create your own breathtaking mountain and waterfall landscapes with our free AI image generator!
4 years ago
Waterfell Mountain, by Alexander Jansson, Dariusz Zawadzki, Zdzisław Beksiński, Gustave Doré, Greg Rutkowski, Winslow Homer, and John Kensett
Créé 4 years ago · 0 commentaire· 0 j'aime
Coherent
Résumé de Création par Vincent
Waterfell Mountain: Hyperrealistic Digital Matte Painting
A detailed digital painting of Waterfell Mountain with a surreal and unsettling atmosphere. The image employs vibrant colors and geometric elements to create a strange, magical, and cosmic landscape.
Créé par Swift le May 26, 2022 en utilisant le modèle générateur d'images AI Coherent.
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Paramètres de Création
- Prompts textuels
- Waterfell Mountain, by Alexander Jansson, Dariusz Zawadzki, Zdzisław Beksiński, Gustave Doré, Greg Rutkowski, Winslow Homer, and John KensettWeight: 1Waterfell MountainWeight: 1Hyper detailed digital matte painting, concept art, hyperrealism, Cinema 4D, 8k resolution, 64 megapixels, coherent, bokeh, CGSociety, ZBrush Central, behance HD, hypermaximalist, a masterpiece, 4K, trending on ArtstationWeight: 0.8particles, cel-shaded, depthWeight: 0.1film noir, neon, mist, colourful, beautifulWeight: 0.2water, bright, sunny, unsettling, mysterious, strange, odd, weird, fantasy, magic, spells, incantation, geometric, mandala, celestial, chaotic, cosmic, by Stephan Martiniere and Alexander FedosavWeight: 0.3vapor twilight tornadic thunderstorm synesthesia sunshine rays sunny spiraling serene seascape radiant psychedelic mysterious noctilucent parallax photorealistic polished geometric elemental beautiful colorful elaborate shinyWeight: 0.7by David A. Hardy, Victor Moscoso, Bill Melendez, Johannes Voss, Anna MillWeight: 0.3faces, hair, human, skin, eyes, people,Weight: -1blur, blurry, undeveloped, noisy, watermark, scratches, messy, paint flecks, dirty, unclear, too sharp, underexposedWeight: -1
- Modèle
CKPT- Résolution initiale
Medium
- Rapport d'aspect
1:1
- Poids de l'invite globale
50%
- Poids de l'image de départ
50%
- Poids du bruit
50%
- Amélioration de la précision
Aucun
