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Dreamy Pansies Bloom in Enchanted Forest: Hyper-Realism
Dreamy Pansies Bloom in Enchanted Forest: Hyper-Realism
3 years ago

A Insanely detailed matte painting of fantastical dreamy beautiful heavenly Pansy flowers booming on a misty meadow surrounded by a dense en...

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

Stable Diffusion 1.5Stable Diffusion 1.5

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Résumé de Création par Vincent

Dreamy Pansies Bloom in Enchanted Forest: Hyper-Realism

A striking picture of pansies blooming in a misty meadow near an enchanted forest. The image employs hyper-realism and 3D modeling techniques, bathed in a soft, golden light with lavender and rose colors.

Créé par Open-Prompts-4All le Jan 30, 2023 en utilisant le modèle générateur d'images AI Stable Diffusion 1.5.


3 Commentaires

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Anonymous User
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Well made ans so beautiful !
2024-11-17T11:41:41.729ZReply
PRO
Really lovely, so serene.
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Paramètres de Création

Prompts textuels
A Insanely detailed matte painting of fantastical dreamy beautiful heavenly Pansy flowers booming on a misty meadow surrounded by a dense enchanted forest with a picturesque river winding through; the pansies are in full bloom with deep purple, bright yellow and soft pink hues with intricate detailed ...
Weight: 1.7
Genres: Surreal, Magical Realism; Styles: Hyper-realism; Techniques: Matte Painting, 3D modeling; Light settings: a soft golden glow at sunset; Colors: Lavender, Periwinkle, Rose; Descriptive terms: Ethereal, Enchanting, Majestic, Whimsy, Sublime
Weight: 1.6
by Artists: Rob Reynolds, Dave Rapoza, Rafael Grassetti, Gleb Alexandrov, Ryan Church; 8K 3D, CGSociety, Trending on Artstation, 8K resolution
Weight: 1.7
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: -1.7
Modèle
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Résolution initiale

Low

Rapport d'aspect

1:1

Durée d'exécution

Medium

Poids de l'invite globale

90%

Méthode d'échantillonnage

K_HEUN


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