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Generate Abandoned Ruins with AI

Create your own images of abandoned places reclaimed by nature using our free AI image generator!

Abandoned Architecture Reclaimed by Nature in Photorealistic...
Abandoned Architecture Reclaimed by Nature in Photorealistic...
3 years ago

Abandoned Architecture deteriorate ruin, reclaimed by nature vegitation vines, domed structure large holes dilapidated condition, broken win...

Créé 3 years ago · 0 commentaire· 0 j'aime

Stable Diffusion 1.5Stable Diffusion 1.5

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Résumé de création par Vincent

Abandoned Architecture Reclaimed by Nature in Photorealistic...

A detailed image of abandoned architecture being reclaimed by nature. The dilapidated building features broken windows and a domed structure, bathed in dramatic lighting with a hyperrealistic, photorealistic rendering.

Créé par Peregrine Falconer le Apr 14, 2023 en utilisant le modèle générateur d'images AI Stable Diffusion 1.5.


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Paramètres de Création

Prompts textuels
Abandoned Architecture deteriorate ruin, reclaimed by nature vegitation vines, domed structure large holes dilapidated condition, broken windows stained glass, dirty Creepy building haunted, blue nightlight rimlit dramatic lighting, mysterious, sinister somber, ultra-detailed, golden ratio composition, ...
Weight: 1
Abandoned architecture hyperdetailed SATURATED COLOR sunshine beams photorealistic 4k 8k 16k sharp focus hole in the clouds shinning through hole in church, trending on Artstation contrast shading shadow depth, inspired by Frank Lloyd Wright, digital painting, concept art, sharp focus, illustration, ...
Weight: 1
photorealistic Epic Abandoned Buildings, ruins skeleton frame HIGH CONTRAST, holes broken unfinished rough dirty detailed matte painting, deep color, fantastical, intricate detail, complementary colors, fantasy concept art, 4k 8k 16k resolution HDR trending on Artstation, 3D Game Cinematic, 3D Graphics, ...
Weight: 1
Modèle
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Résolution initiale

Thumb

Rapport d'aspect

1:1

Durée d'exécution

Short

Poids de l'invite globale

40%

Poids du bruit

30%

Méthode d'échantillonnage

K_LMS


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