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Mysterious Ruins Trapped in Net: Digital Matte Painting
Mysterious Ruins Trapped in Net: Digital Matte Painting
4 years ago

Ancient ruins caught in a fishing net, by Alexander Jansson, Dariusz Zawadzki, Zdzisław Beksiński, Gustave Doré and Greg Rutkowski

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

Coherent2x

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Résumé de Création par Vincent

Mysterious Ruins Trapped in Net: Digital Matte Painting

A surreal image showing ancient ruins entangled in a fishing net. The scene is rendered in a dark, unsettling style with hyperrealistic details, creating a mysterious and ominous atmosphere.

Créé par dirtyTitan le Jun 7, 2022 en utilisant le modèle générateur d'images AI Coherent.


Images de Progression

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Beautiful colors
2022-06-07T07:00:10.547ZReply

Creation Settings

Prompts textuels
Ancient ruins caught in a fishing net, by Alexander Jansson, Dariusz Zawadzki, Zdzisław Beksiński, Gustave Doré and Greg Rutkowski
Weight: 1
Ancient ruins caught in a fishing net
Weight: 1
Hyper detailed digital matte painting, concept art, hyperrealism, 16k resolution, Cinema 4D, 8k resolution, coherent, CGSociety, ZBrush Central, behance HD, a masterpiece
Weight: 0.9
particles, cel-shaded, depth
Weight: 0.1
film noir, neon, colourful, beautiful, deep colors, bright, bokeh, hypermaximalist
Weight: 0.4
horror, creepy, unsettling, dark, disturbing, mysterious, strange, odd, weird, sinister, ominous, scary, magic, spells, incantation, geometric, mandala, celestial, cosmic, by Stephan Martiniere 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: 0.8
blur, blurry, undeveloped, noisy, watermark, scratches, messy
Weight: -1
Realistic diorama of gamedev competition octopus and robot hi-tech by Steven Belledin, Daarken, and Anato Finnstark
Weight: 1
Modèle
Coherent
CKPT

Coherent

Résolution initiale

Thumb

Rapport d'aspect

4:3

Poids de l'invite globale

90%

Poids de l'image de départ

90%

Poids du bruit

20%

Amélioration de la précision

Extra


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