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Generate Medieval Queens with AI

Create your own medieval queens or other historical figures with our free AI image generator. It's easy and fun!

Medieval Queen Coronation in a Digital Art Style
Medieval Queen Coronation in a Digital Art Style
3 years ago

Red dress Medieval queen coronation ceremony scene, anatomically precise beautiful woman's hand with 5 fingers, Epic cinematic brilliant st...

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

Medieval Queen Coronation in a Digital Art Style

A digital painting depicts a medieval queen's coronation, showcasing a woman's hand. The artwork features dynamic lighting, intricate details, and a vibrant color palette in a maximalist style.

Créé par Axaliaa le Feb 15, 2023 en utilisant le modèle générateur d'images AI Stable Diffusion 1.5.


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Paramètres de Création

Prompts textuels
Red dress Medieval queen coronation ceremony scene, anatomically precise beautiful woman's hand with 5 fingers, Epic cinematic brilliant stunning intricate meticulously detailed dramatic atmospheric maximalist digital matte painting
Weight: 1
head and shoulders and full body portrait, 8k resolution concept art portrait by Greg Rutkowski, Artgerm, WLOP, Alphonse Mucha dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine 5 volumetric lighting
Weight: 0.7
Pixar, Disney, concept art, 3d digital art, Maya 3D, ZBrush Central 3D shading, bright colored background, radial gradient background, cinematic, Reimagined by industrial light and magic, 4k resolution post processing
Weight: 0.2
ugly, tiling, poorly drawn hands, missing fingers, extra fingers, 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: -2.2
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

80%

Méthode d'échantillonnage

K_LMS


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