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Generate Your Own Pride Portraits with AI

Create your own unique Pride portraits with our AI image generator. It's free and easy!

Rainbow Portrait in High-Fashion Gender-Neutral Style
Rainbow Portrait in High-Fashion Gender-Neutral Style
4 years ago

pride portrait 4

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

Stable Diffusion 1.5Stable Diffusion 1.5

#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
Avatar de Vincent
Résumé de création par Vincent

Rainbow Portrait in High-Fashion Gender-Neutral Style

A vibrant portrait of a genderless human with rainbow hair and makeup against a splash background. This striking image features fantasy mural art with glitter accents and neon lighting, creating a modern, gender-neutral aesthetic.

Créé par Laura Nadia le Jan 14, 2023 en utilisant le modèle générateur d'images AI Stable Diffusion 1.5.


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Paramètres de Création

Prompts textuels
waist up transgender portrait, genderless human, stylish short hair, high-fashion rainbow hair and 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 drag queen cross-dress unisex lesbian pansexual LGBT LGBTQ asexual
Weight: 0.5
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: -1
masterfully curated subject by Marie Høeg, Bolette Berg, Jean Frédéric Bazille, William-Adolphe Bouguereau. a masterpiece, award-winning
Weight: 0.5
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

50%

Méthode d'échantillonnage

K_HEUN


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