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Queen of Swords: Tarot Card in Digital Art
Queen of Swords: Tarot Card in Digital Art
4 years ago

Cradle of Mankind

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

Stable Diffusion 1.5Stable Diffusion 1.511.4x

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Résumé de création par Vincent

Queen of Swords: Tarot Card in Digital Art

A stunning depiction of the Queen of Swords tarot card. The image features perfect symmetry, fluid gradients, intricate details, and a rainbow dust effect. It's rendered as photorealistic digital art.

Créé par Quiet Volcano le Dec 18, 2022 en utilisant le modèle générateur d'images AI Stable Diffusion 1.5.


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14 Commentaires

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Anonymous User
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nice!
2022-12-19T20:31:01.232ZReply
View replies (1)
It looks wonderful, I love the misty background :)
Imagine cradling humanity in your arms, with no knowledge of the monster you had created…

Paramètres de Création

Prompts textuels
(Queen of Swords tarot card merge) perfect symmetry. Greg Rutkowski, Minjae Lee, Ana Paula Hoppe, Teis Albers, Armando Mesias, fluid acrylic graceful gradients, intricate octane render, 8k 3D depth, portrait of a god
Weight: 3
James Jean, Peter Mohrbacher, Kaluta, PixIV, accurate features, incredibly detailed, rainbow dust, WLOP, beautiful gorgeous
Weight: 3
Photorealism, lifelike, amazing depth, glowing, serene, ominous, moody beautiful strange detailed painting 8k resolution deviantart trending on Artstation concept art digital illustration surrealism HDR Unreal Engine Ukiyo-e
Weight: 3
Art of Illusion, Artrift, finalRender, Flickr, IMAX, Polycount, shadow depth, Sketchfab, Sketchlab, Substance Designer, VRay, depth of field, subtractive lighting, panorama, 3DEXCITE, 3Delight, 3D shading
Weight: 3
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: -3
Modèle
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Résolution initiale

Low

Rapport d'aspect

3:4

Durée d'exécution

Long

Poids de l'invite globale

80%

Méthode d'échantillonnage

K_LMS


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