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Smiling Shark Selfie: Renaissance and Digital Art Fusion
Smiling Shark Selfie: Renaissance and Digital Art Fusion
3 years ago

Cheeesee!!

Créé 3 years ago · 5 commentaires· 0 j'aime

Stable Diffusion 1.5Stable Diffusion 1.5

#selfie#shark
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Résumé de Création par Vincent

Smiling Shark Selfie: Renaissance and Digital Art Fusion

A whimsical image of an anthropomorphic shark taking a selfie. The artwork blends Renaissance painting with modern 3D rendering techniques, featuring bright colors, intricate details and cinematic lighting.

Créé par Strigoi77 le Jan 28, 2023 en utilisant le modèle générateur d'images AI Stable Diffusion 1.5.


5 Commentaires

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2023-02-20T03:46:07.287ZReply
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Now the challenge is dead.

Paramètres de Création

Prompts textuels
A smiling shark with arms taking a selfie with a cell phone by Jakob Bogdani and Leonardo Da Vinci, hyperdetailed drawing by Gustave Doré, impossibly intricate art, PIXAR, Tom Bagshaw, Renaissance, laborious clean artwork, epic hyperdetailed line art by Andrew Loomis and Burne Hogarth, Norman Rockwell, ...
Weight: 1
A smiling shark with arms taking a selfie with a cell phone at sea by Jakob Bogdani, detailed painting, deep color, fantastical, intricate detail, splash screen, complementary colors, fantasy concept art, 8k resolution digital illustration, trending on Artstation, Unreal Engine 5
Weight: 0.3
A smiling shark with arms taking a selfie at sea by 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: 0.8
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: -0.9
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

50%

Poids du bruit

70%

Méthode d'échantillonnage

K_LMS


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