Generate Your Own Vault Portraits with AI
Create your own mysterious portraits and vault scenes with our free AI image generator. It's easy and fun!
4 years ago
The Vault │2│ The Portraits: #347
Créé 4 years ago · 40 commentaires· 0 j'aime
Stable Diffusion 2.12x
Please credit me or keep your prompts open when you use my prompts, thank you! 🙏
This creation is part of the Vault collections. Most of the creations in these collections will be only published for a limited amount of time. However, you will be able to find all creations in the following collections:
The Vault │1│ The Cute and the Fantastic
The Vault │2│ The Portraits
The Vault │3│ The Dark
The Vault │4│ The Rest
Résumé de création par Vincent
Medieval Knight Portrait in Textured Speedpaint Style
A detailed portrait of a medieval knight at a tournament. The artwork is textured and painted with large, rough brushstrokes in an oil on canvas style, with paint splatter effects.
Créé par Gazelli le Apr 4, 2023 en utilisant le modèle générateur d'images AI Stable Diffusion 2.1.
40 Commentaires
Rejoindre la conversation
KI-Hobby @Patrick89
🔥🔥
2023-05-03T20:45:26.672ZReply
Basically straight from Dark Souls! Soooo cool!! 😍😍🖤🖤🖤
Wow epic creation, I love his armor 🔥🔥🔥🖤🖤🖤
You just earned yourself another follower my friends!
![[deleted]](https://images.nightcafe.studio//assets/profile.png?tr=w-320,c-at_max)
Paramètres de Création
- Prompts textuels
- "centered detailed portrait of Medieval Knight at tournament", textured Speedpaint on dark paper with large rough brush strokes and paint splatter by Jeremy Mann, Carne Griffiths, Junji Ito, Robert Oxley, Ismail Inceoglu, masterpiece, trending on artstation, particles, oil on canvas, highly detailed ...Weight: 1sword, 3d render, ugly, Liz Gael, watermark, signature, cut off, draft, logo, frame, framed, letterbox, text, bad anatomy, poorly drawn hands, poorly drawn feet, poorly drawn face, extra limbs, mutation, body out of frame, extra digits, extra handsWeight: -1
- Modèle
- Résolution initiale
Low
- Rapport d'aspect
3:4
- Durée d'exécution
Short
- Poids de l'invite globale
70%
- Poids du bruit
50%
- Méthode d'échantillonnage
K_DPMPP_2M
