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Create Your Own Gypsy Vanner Horse Images

Create your own beautiful Gypsy Vanner horse images with our free and easy AI image generator. It's fun and fast!

Majestic Gypsy Cob Horse in Pre-Raphaelite Style
Majestic Gypsy Cob Horse in Pre-Raphaelite Style
PRO
4 years ago

Beautiful Gypsy Vanner

Créé 4 years ago · 14 commentaires· 0 j'aime

Stable Diffusion 1.5Stable Diffusion 1.52x

Avatar de Vincent
Résumé de création par Vincent

Majestic Gypsy Cob Horse in Pre-Raphaelite Style

A striking picture of a Gypsy Cob horse with a long flowing mane, detailed feathering, and clear eyes. The horse is set against a detailed background in a cinematic style with dramatic lighting.

Créé par lawrencelot le Feb 20, 2023 en utilisant le modèle générateur d'images AI Stable Diffusion 1.5.


14 Commentaires

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Anonymous User
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The female one is really good :)
2023-03-05T14:09:08.564ZReply
View replies (1)
These are beautiful,... Well except for the old and sad one. I judt wanna hug him..
PRO
Cool!

Paramètres de Création

Prompts textuels
full screen masterpiece beautiful mocha brown Gypsy Cob horse with elaborately designed mane by edgar maxence and caravaggio and michael whelan and delacroix style, lighting, sharp focus, hyperdetailed, unreal 5, volumetric lighting, pre-raphaelite, oil on canvas, detailed background, comic book style, ...
Weight: 1
accurate anatomy, long flowing hair, perfect features, elegantly muscular, clear detailed eyes, well composed balanced composition, golden ratio, rembrandt lighting, epic, sense of scale, octane render, textured illustration, trending on artstation, masterpiece
Weight: 1
dramatic lighting, establishing shot, 8k resolution, beautiful horse breed, accurate anatomy, perfect hair, perfect feathering, clear detailed eyes, golden ratio, dramatic lighting, paint texture, low aperture, insanely detailed, charlie bowater, tom bagshaw, octane render, unreal engine, illustration, ...
Weight: 0.4
Modèle
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Résolution initiale

Low

Rapport d'aspect

3:4

Durée d'exécution

Short

Poids de l'invite globale

80%

Méthode d'échantillonnage

K_LMS


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