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Create classical Chinese landscape art with AI

Evoke the serene beauty of classical Chinese art. It's free and easy to create your own evocative landscapes.

Lizard Tea Set in Dark Fantasy Garden
Lizard Tea Set in Dark Fantasy Garden
4 years ago

Thinking of Xin in South Pavilion on a Summer's Day

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

Stable Diffusion 1.5Stable Diffusion 1.5

#chinese#poetry#garden#alone
The glow on western mountains quickly sets, The moon is climbing over the eastern lake. My hair loose, I enjoy the evening cool, I lie in peace before the open window. The wind spreads lotus scent all through the air, The sound of dripping bamboo dew is clear. Although I'd like to fetch my qin and play, To my regret, there is no-one to hear. So touched by this, I think of my old friend, Throughout the night, I'm troubled by my dreams. --- Meng Haoran (689- 740 AD)
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Résumé de création par Vincent

Lizard Tea Set in Dark Fantasy Garden

A detailed image of a lizard tea set in a Chinese garden. The scene features dynamic lighting and intricate details, rendered with deep colors and a dark fantasy aesthetic.

Créé par Mantooth Gage le Mar 21, 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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Cool piece and welcome!
2023-03-26T05:15:38.189ZReply
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Paramètres de Création

Prompts textuels
lizard tea set, a masterpiece, 8k resolution, dark fantasy concept art, by Greg Rutkowski, dynamic lighting, hyperdetailed, intricately detailed, Splash screen art, trending on Artstation, deep color, Unreal Engine, volumetric lighting, Alphonse Mucha, Jordan Grimmer, purple and yellow complementary ...
Weight: 2.7
single frame Professional photography, bokeh, natural lighting, canon lens, shot on dslr 64 megapixels sharp focus
Weight: 1
chinese garden
Weight: 1.6
lizards, scales, salamander, newt, snake, gila monster, komodo dragon
Weight: 0.5
Modèle
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Résolution initiale

Thumb

Rapport d'aspect

4:3

Durée d'exécution

Short

Poids de l'invite globale

90%

Méthode d'échantillonnage

K_LMS


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