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Generate Your Own Fantasy Bandit Characters

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Elderly Bandit Portrait in Dark Fantasy Style
Elderly Bandit Portrait in Dark Fantasy Style
2 years ago

Dark Fantasy elderly male medieval rugged bandit thug, head and shoulders portrait, 8k resolution concept art portrait by Greg Rutkowski, Ar...

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

Stable Diffusion 1.5Stable Diffusion 1.5

#fantasy#man#portrait#open-prompt-gang
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Résumé de Création par Vincent

Elderly Bandit Portrait in Dark Fantasy Style

A detailed portrait of an elderly, rugged bandit in a dark fantasy setting. The image is rendered with dynamic lighting and intricate details in a hyperrealistic digital art style.

Créé par Connor Neary le Jun 11, 2023 en utilisant le modèle générateur d'images AI Stable Diffusion 1.5.


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Paramètres de Création

Prompts textuels
Dark Fantasy elderly male medieval rugged bandit thug, head and shoulders portrait, 8k resolution concept art portrait by Greg Rutkowski, Artgerm, WLOP, Alphonse Mucha dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine 5 volumetric lighting ...
Weight: 3
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: -3
intricate details, HDR, beautifully shot, hyperrealistic, sharp focus, 64 megapixels, perfect composition, high contrast, cinematic, atmospheric, moody
Weight: 1
Hyperrealistic, splash art, concept art, mid shot, intricately detailed, color depth, dramatic, 2/3 face angle, side light, colorful background
Weight: 1
Close-up portrait, color portrait, Linkedin profile picture, professional portrait photography by Martin Schoeller, by Mark Mann, by Steve McCurry, bokeh, studio lighting, canon lens, shot on dslr, 64 megapixels, sharp focus
Weight: 1
Modèle
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Résolution initiale

Thumb

Rapport d'aspect

1:1

Durée d'exécution

Short

Poids de l'invite globale

80%

Poids du bruit

30%

Méthode d'échantillonnage

K_LMS


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