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Generate Retro Sci-Fi Line Art with AI

Make your own retro-futuristic line art illustrations with our free AI image generator. It's easy and fun!

Botanical Wonders: A Moebius-Style Line Art Illustration
Botanical Wonders: A Moebius-Style Line Art Illustration
3 years ago

Create a vibrant, line art illustration in the style of Retro-SF, depicting an organic vegetation. Let your colors flow freely as you bring t...

Créé 3 years ago · 1 commentaire· 0 j'aime

Stable Diffusion 2.1Stable Diffusion 2.12x

#mysticalsf#fantasyart#sciencefiction#lineart#retro-universes
B3X73-IRL_RL, Mystical SF Illustrations : This series of illustrations explores the mesmerizing blend of mysticism and science fiction. Journey through futuristic cities and encounter mythical creatures in these enchanting artworks that ignite your imagination.
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Résumé de Création par Vincent

Botanical Wonders: A Moebius-Style Line Art Illustration

A vibrant line art illustration shows organic vegetation in a surreal botanical world. The image is a detailed matte painting with deep, complementary colors in a fantastical style.

Créé par IRL le May 14, 2023 en utilisant le modèle générateur d'images AI Stable Diffusion 2.1.


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Anonymous User
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That's dope
2023-05-14T09:23:16.376ZReply

Creation Settings

Style prédéfini

NightCafe

Prompts textuels
Create a vibrant, line art illustration in the style of Moebius, depicting an organic vegetation. Let your colors flow freely as you bring to life a surreal world of botanical wonders.
Weight: 1
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: -0.3
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 2.1
CKPT

Stable Diffusion 2.1

Résolution initiale

Thumb

Rapport d'aspect

1:1

Durée d'exécution

Short

Poids de l'invite globale

50%

Méthode d'échantillonnage

K_LMS


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