Generate Your Own Nazgul Images
Unleash your inner darkness! Create your own terrifying Nazgul images with our free AI generator.
2 years ago
NAZGUL
Créé 2 years ago · 3 commentaires· 0 j'aime
Juggernaut XL v8
Résumé de Création par Vincent
Black Rider of Mordor in Detailed Matte Painting
A dramatic image of a black rider on horseback in a mountainous landscape. The rider, cloaked and hooded, wields a black sword in this detailed, fantastical matte painting.
Créé par Superbear le Feb 24, 2024 en utilisant le modèle générateur d'images AI Juggernaut XL v8.
3 Commentaires
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[Deleted]
2024-03-04T09:36:37.605ZReply
Thank you very much for playing! Entries were amazing this time, so congrats!
Feel free to check the prompt tutorial I wrote: https://auraia.wixsite.com/aia1/post/prompt-guide ↗️
Anyways, a new "No theme!" challenge is already running, so see you there!
Hello everyone!
What a great challenge today...great works, many of us awarded more 5/5s than ever before. And our congratulations to the winners and participants, who numbered almost 150.
The quality was really very high. Situations are constantly changing, but our chatroom seems to be holding up well.
See you today at the usual time for another round!
Peace and Love,
Naturx & Doublecrash
Paramètres de Création
- Prompts textuels
- ¨Black Rider¨riding ¨NAZGUL¨black hoodded clock, black sword, mountains of Mordor. Lord of the Rings. https://lotr.fandom.comWeight: 1detailed matte painting, deep color, fantastical, intricate detail, splash screen, complementary colors, fantasy concept art, 8k resolution trending on Artstation Unreal Engine 5,Bokeh, concept art, art by Argus, Borris Vallejo, Greg Rutkowski, Luis Royo, art germWeight: 0.9wings, 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, draftWeight: -3
- Modèle
CKPT- Résolution initiale
Medium
- Rapport d'aspect
1:1
- Durée d'exécution
Short
- Poids de l'invite globale
70%
- Poids de l'affineur
10%
- Méthode d'échantillonnage
K_HEUN
