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4 years ago
Lonely Mecha Explores the Barren Landscape of Chernobyl
Créé 4 years ago · 4 commentaires· 0 j'aime
Coherent
Résumé de création par Vincent
Mecha Robot Explores Barren Chernobyl in Hyperrealism
This image shows a lone mecha robot exploring a desolate Chernobyl landscape. It features cybernetic enhancements, intricate details, and volumetric lighting, rendered as hyperrealistic digital art.
Créé par byrnyngman le Jun 13, 2022 en utilisant le modèle générateur d'images AI Coherent.
4 Commentaires
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Clarinet @clarinet
<gawks more> 🤯🏆
2022-06-13T01:09:10.549ZReply
Paramètres de Création
- Prompts textuels
- Lonely Mecha Explores the Barren Landscape of ChernobylWeight: 1cybernetically enhanced raven concept, by Roberto Aizenberg, Zdzisław Beksiński, Brian Despain, Peter Gric and Gurmukh BhasinWeight: 13d render Cry Engine Hyperrealism Ambient Occlusion Light Rays Volumetric LightingWeight: 1trending on Artstation Unreal Engine 3D shading shadow depth steampunk engine 3D shading volumetric lighting rendered in Blender shadow depth CryEngineWeight: 0.7robotic parts, ver.ka mecha robot controlled by artificial intelligence, rivetsWeight: 0.8Hyper detailed digital matte painting, concept art, hyperrealism, Cinema 4D, 8k resolution, 64 megapixels, coherent, CGSociety, ZBrush Central, behance HD, hypermaximalist, a masterpiece, 4KWeight: 0.9cel-shaded, depth, particles photoillustrationWeight: 0.1film noir, neon, beautiful, deep colors, bright, amazing, gorgeous, wonderfulWeight: 0.6AppGameKit, Art of Illusion, Artrift, CryEngine, finalRender, Flickr, IMAX, Polycount, r/Art, rendered in Blender, shadow depth, Sketchfab, Sketchlab, Substance Designer, VRay, Unreal EngineWeight: 0.9blur, blurry, undeveloped, noisy, watermark, scratches, messy, paint flecks, dirty, unclear, too sharp, underexposed, too darkWeight: -1hair, human, skin, eyes, people, colourful, unbalanced, undeveloped, high contrast, bokehWeight: -1
- Modèle
CKPT- Résolution initiale
Medium
- Rapport d'aspect
1:1
- Poids de l'invite globale
90%
- Poids de l'image de départ
90%
- Poids du bruit
30%
- Amélioration de la précision
Extra
