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Olmec Mayan Jungle Cityscape: Hyperreal Digital Painting
Olmec Mayan Jungle Cityscape: Hyperreal Digital Painting
4 years ago

Jungle lost city

Créé 4 years ago · 1 commentaire· 0 j'aime

Coherent2x

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Résumé de création par Vincent

Olmec Mayan Jungle Cityscape: Hyperreal Digital Painting

A surreal cityscape blending Olmec and Mayan motifs within a dense jungle setting. The digital painting features hyperrealistic details, geometric elements, and a psychedelic color palette, creating a dreamlike atmosphere.

Créé par Vey Telmo le Jun 12, 2022 en utilisant le modèle générateur d'images AI Coherent.


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2022-06-19T02:41:05.850ZReply

Paramètres de Création

Prompts textuels
An Olmec face cityscape skyscrapers that is beautifully detailed painting of the mayan temple face in the jungle, by Roberto Aizenberg, Zdzisław Beksiński, Thomas Kinkade, Peter Gric and Dan Mumford
Weight: 1
Olmec forested cityscapes made of flowers Face Mayan temple face in the jungle cityscape skyscrapers
Weight: 1
Olmec forest Cityscape skyscrapers made of flowers and vines in a geometric, parallax
Weight: 0.8
Hyper detailed digital matte painting, concept art, hyperrealism, Cinema 4D, 8k resolution, 64 megapixels, coherent, bokeh, CGSociety, ZBrush Central, behance HD, hypermaximalist, a masterpiece, 4K
Weight: 0.9
cel-shaded, depth, particles
Weight: 0.1
film noir, neon, beautiful, deep colors, bright, amazing, gorgeous, wonderful, psychedelic
Weight: 0.8
cosmic, magic, spells, sparks, by Stephan Martiniere, Gustave Doré and Alexander Fedosav
Weight: 0.7
AppGameKit, Art of Illusion, Artrift, CryEngine, finalRender, Flickr, IMAX, Polycount, r/Art, rendered in Blender, shadow depth, Sketchfab, Sketchlab, Substance Designer, VRay, Unreal Engine
Weight: 0.5
blur, blurry, undeveloped, noisy, watermark, scratches, messy, paint flecks, dirty, unclear, too sharp, underexposed, too dark
Weight: -1
faces, hair, human, skin, eyes, people, colourful, deformed
Weight: -1
Modèle
Coherent
CKPT

Coherent

Résolution initiale

Low

Rapport d'aspect

4:3

Poids de l'invite globale

90%

Poids de l'image de départ

60%

Poids du bruit

60%

Amélioration de la précision

Standard


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