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Generate Your Own Chibi Fire Owls

Create your own adorable fire owls with our AI image generator. It's free and easy to use!

Detailed Chibi Red Fire Owl Portrait
Detailed Chibi Red Fire Owl Portrait
3 years ago

overdetailed portrait of a chibi fluffy red fire owl; Michael Kaluta, Aleksandr Kuskov, Christophe Heughe, Adobe After Effects, Post-Product...

Créé 3 years ago · 4 commentaires· 0 j'aime

Stable Diffusion 1.5Stable Diffusion 1.5

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Résumé de création par Vincent

Detailed Chibi Red Fire Owl Portrait

A striking portrait of a fluffy red fire owl rendered in incredible detail. This image evokes elements of gouache painting, calligraphy and photo illustration with volumetric lighting.

Créé par CristinaCoach le Jun 1, 2023 en utilisant le modèle générateur d'images AI Stable Diffusion 1.5.


4 Commentaires

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Anonymous User
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Beautiful!
2023-06-01T15:55:17.260ZReply
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Paramètres de Création

Style prédéfini

NightCafe

Prompts textuels
overdetailed portrait of a chibi fluffy red fire owl; Michael Kaluta, Aleksandr Kuskov, Christophe Heughe, Adobe After Effects, Post-Production, SFX, detailed, intricate, maximalist, elegant, realistic, super detailed, serene, 16k resolution, 3ds max, vray
Weight: 3
resolution photo realistic masterpiece: by Android Jones : intricately detailed fluid gouache painting: by J Japanese Art: James Jean: Erin Hanson: Dan Mumford : calligraphy: acrylic: watercolor art, professional photography, volumetric lighting maximalist photo illustration: concept art intricately ...
Weight: 2.9
amateur, ugly, flat, cartoon, 2d, drawing; disfigured; bad art; deformed; poorly drawn; extra limbs; dull colours, blurry, boring, sketch, lacklustre, repetitive, cropped, hands, blender, unreal
Weight: -3
detailed matte painting, deep color, fantastical, intricate detail, splash screen, complementary colors, fantasy concept art, 8k resolution trending on Artstation Unreal Engine 5
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

70%

Poids du bruit

80%

Méthode d'échantillonnage

K_LMS


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