Generate historical battle images with AI
Create your own historical battle scenes with our free AI image generator. It's easy and fun!
4 years ago
Manzikert 1071 II
Créé 4 years ago · 0 commentaire· 0 j'aime
Stable Diffusion 1.56x
In the Midst of Battle
Résumé de création par Vincent
Epic Battle of Manzikert in Neoclassical Style
A vivid image capturing the intensity of the Battle of Manzikert. The scene evokes neoclassical art with dramatic lighting, rich colors, and detailed figures conveying the chaos of medieval warfare.
Créé par Nikosec AIART le Jan 15, 2023 en utilisant le modèle générateur d'images AI Stable Diffusion 1.5.
Images de Progression
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Paramètres de Création
- Prompts textuels
- Create a painting in the style of Jacques-Louis David, depicting the historic Battle of Manzikert in the Middle Ages. The painting should capture the intense and dramatic nature of the battle, with a focus on the heroism and bravery of the soldiers who fought.Weight: 1Use rich and bold colors, inspired by the grandeur of the Middle Ages and the neoclassical style of Jacques-Louis David. Incorporate elements of chiaroscuro, the use of light and dark to create a sense of drama, to convey the tension and chaos of the battle.Weight: 1The figures of the warriors, horses and weapons should be detailed and realistic, but also use dynamic and expressive poses, to convey the emotion and movement of the battle. The background could be an idealized landscape, with a sense of vastness, to give a sense of the scale of the battle.Weight: 1Epic cinematic brilliant stunning intricate meticulously detailed dramatic atmospheric maximalist digital matte painting, Detailed Render, eyecandy, Breathtaking, 8k resolution, Incredibly detailed; vibrant colours; ambient light; HyperRealistic HyperDetailed 16k 8k HD DSLR; polished; photorealisticWeight: 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
- Modèle
- Résolution initiale
Thumb
- Rapport d'aspect
1:1
- Durée d'exécution
Long
- Poids de l'invite globale
90%
- Poids du bruit
10%
- Méthode d'échantillonnage
K_LMS
