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Create your own fire and ice phoenix images. It's free, easy, and no account is required!
4 years ago
[fire phoenix| && [ice phoenix| E4
Créé 4 years ago · 2 commentaires· 0 j'aime
Stable Diffusion 1.5
Résumé de création par Vincent
Fire and Ice Phoenix in Dystopian Jungle
This image shows a striking phoenix divided into fire and ice halves. The fire side features orange and teal hues, while the ice side showcases blue and white tones. The background depicts a dystopian city overtaken by jungle.
Créé par Artificial Intelligence Artist le Feb 8, 2023 en utilisant le modèle générateur d'images AI Stable Diffusion 1.5.
2 Commentaires
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Paramètres de Création
- Prompts textuels
- [fire phoenix| && [ice phoenix| before Background [city jungle]Weight: 2[fire phoenix| = highly detailed phoenix bird, fire phoenix, orange and teal, fire, transparent fire, ethereal fantasy hyperdetailed trending on Artstation volumetric lighting 8k resolution concept art Unreal Engine by Greg Rutkowski hyperdetailed intricately detailed volumetric lighting, triadic colors, ...Weight: 1.5[ice phoenix| = highly detailed phoenix bird, ice phoenix, blue and white, ice, transparent ice, ethereal fantasy hyperdetailed trending on Artstation volumetric lighting 8k resolution concept art Unreal Engine by Greg Rutkowski hyperdetailed intricately detailed volumetric lighting, triadic colors, ...Weight: 1.5[city jungle] = dystopia, a beautiful and highly detailed oil painting of an elven temple in the mountains, beautiful vine covered trees, lush plant growth, tall grass, flowers, intricate details, epic scale, insanely complex, rivendell, 8 k, sharp focus, hyper realism, fantasy landscape, psychedelic, ...Weight: 1ugly, 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, not AIAWeight: -3watermark, word, character, sign, logo,Weight: -2.9
- Modèle
- Résolution initiale
Low
- Rapport d'aspect
1:1
- Durée d'exécution
Medium
- Poids de l'invite globale
100%
- Poids du bruit
40%
- Méthode d'échantillonnage
K_LMS
