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Ethereal Fantasy Landscape with Colorful Autumnal Trees
Ethereal Fantasy Landscape with Colorful Autumnal Trees
4 years ago

a broadly view of beautiful landscape ethereal fantasy Thomas Kinkade heavenly sunshine beams divine bright soft focus holy in hyperdetailed...

Créé 4 years ago · 2 commentaires· 0 j'aime

Stable Diffusion 1.5Stable Diffusion 1.5

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Résumé de création par Vincent

Ethereal Fantasy Landscape with Colorful Autumnal Trees

A stunning vista of a colorful, misty mountain range under a radiant sky. This digital painting showcases rolling hills and lush forests in vibrant autumnal hues, rendered in a hyperdetailed style.

Créé par greatday4everyone le Dec 26, 2022 en utilisant le modèle générateur d'images AI Stable Diffusion 1.5.


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2022-12-26T23:35:10.787ZReply
Gorgeous scenery

Paramètres de Création

Prompts textuels
a broadly view of beautiful landscape ethereal fantasy Thomas Kinkade heavenly sunshine beams divine bright soft focus holy in hyperdetailed thin mist 8k resolution matte painting
Weight: 1
mountains covered by colorful red, orange, yellow, green and purple trees in thin mist extend afar
Weight: 1
hyperdetailed matte painting rolling green hills in mist in a distance under sun shine
Weight: 1
colorful trees with red, orange, green, yellow and purple colors
Weight: 1
hyperdetailed matte painting lush forest of various colorful trees with red and orange and green leaves mixed in bright sun light covered rolling hills
Weight: 1
blue sky decorated by thin fractal colorful clouds in distance
Weight: 1
Oriental landscape
Weight: 1
8K 3D CryEngine Unreal Engine Oriental landscape hyperdetailed matte painting
Weight: 1
ugly, 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, draft
Weight: -0.3
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

30%

Poids du bruit

10%

Méthode d'échantillonnage

K_LMS


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