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Generate Images of Dancers On Top Of The World

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Ballet Dancer in Glitch Art Landscape
Ballet Dancer in Glitch Art Landscape
2 years ago

Dancing On Top Of The World

Créé 2 years ago · 8 commentaires· 0 j'aime

SDXL 1.0Clarity 1x

Daily Challenge #679:No-Theme Thursday

@Shooflower inspired by your lovely art!!
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Résumé de Création par Vincent

Ballet Dancer in Glitch Art Landscape

A dramatic image of a ballet dancer in a mountain valley at night. The scene features elements of glitch art, oil painting techniques, and surreal double exposure effects, with a dark, mysterious atmosphere.

Créé par P-Jo le Aug 13, 2024 en utilisant le modèle générateur d'images AI SDXL 1.0.


Images de Progression

8 Comments

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Anonymous User
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2024-09-02T13:48:04.274ZReply
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Hi everyone, thanks for submitting your art into the ‘Moon’ Challenge. Thanks so much for sharing your great ideas and artwork! Thank you for voting too! I will congratulate the winners 🏆 shortly. Hope to see you next time around, so cheerio for now 🤗

Creation Settings

Modèle
Clarity Upscaler
CKPT

Clarity Upscaler

Image de départ
Dancing On Top Of The World
Agrandir Prompt
"the melody of dust" black backdrop sinister beautiful composition scenic mountain valley night black fog double exposure scene black cloud superimposed image jeremy mann ballet dancer extreme contrast detailed dark color dim color oil blend painting mysterious glitch art nouveau dendritic hdr oil brush ...
Créativité

70%

Paramètres de création originale

Prompts textuels
"the melody of dust" black backdrop sinister beautiful composition scenic mountain valley night black fog double exposure scene black cloud superimposed image jeremy mann ballet dancer extreme contrast detailed dark color dim color oil blend painting mysterious glitch art nouveau dendritic hdr oil brush ...
Weight: 1
Modèle
SDXL 1.0
CKPT
Modèles Addon
Clarity Upscaler
WFLOW
Résolution initiale

Medium

Rapport d'aspect

1:1

Durée d'exécution

Short

Poids de l'invite globale

50%

Poids de l'affineur

50%

Poids du bruit

50%

Méthode d'échantillonnage

K_DPMPP_2M


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