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Make your own Pride Portrait with AI

Celebrate diversity! Create your own unique and stunning pride portraits with our easy and free AI image generator.

Rainbow Wonder Woman Portrait in Digital Art Style
Rainbow Wonder Woman Portrait in Digital Art Style
3 years ago

pride portrait 2

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

Stable Diffusion 1.5Stable Diffusion 1.52x

#trans#rainbow#lgbt#lgbtq#portrait
it's Rainbows day and there's no LGBTQIA+ portraits trending yet?? hold my beer!
s/o to @JonathanKennedy for help with the starter image <3
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Résumé de Création par Vincent

Rainbow Wonder Woman Portrait in Digital Art Style

A vibrant portrait of a genderless Wonder Woman with short hair, set against a rainbow splash background. This digital artwork features high-fashion makeup, glitter accents and bold, flamboyant colors.

Créé par Laura Nadia le Jan 14, 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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Love it! 🫶🏳️‍🌈
2023-01-25T02:20:34.339ZReply
View replies (1)

Paramètres de Création

Prompts textuels
waist up transgender portrait, genderless Wonder Woman, stylish short hair, high-fashion Wonder Woman makeup, rainbow 🌈 🌈 🌈 color splash background 8k resolution concept art, hyperdetailed Splash art Unreal Engine 5 volumetric lighting
Weight: 1
androgenous androgynous gender-bending gender-neutral gender-nonconforming transgender, neon aquas, glitter silver paint spatter, bright gold corner light leak, rainbow glitter layers, fantasy mural art
Weight: 0.8
epic rainbow 🌈🏳️‍🌈 gay pride high-fashion flamboyant
Weight: 0.2
ugly, tiling, poorly drawn face, out of frame, disfigured, deformed, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft, bloody
Weight: -0.3
masterfully curated subject by Marie Høeg, Bolette Berg, Jean Frédéric Bazille, William-Adolphe Bouguereau. a masterpiece, award-winning
Weight: 0.2
Modèle
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Résolution initiale

Low

Rapport d'aspect

1:1

Durée d'exécution

Medium

Poids de l'invite globale

80%

Poids du bruit

20%

Méthode d'échantillonnage

K_LMS


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