Design your own Vault Portraits with AI
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3 years ago
The Vault │2│ The Portraits: #352
Créé 3 years ago · 33 commentaires· 0 j'aime
Stable Diffusion 2.0 (768)2x
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
Textured Fire Speedpaint in Photorealistic Style
A vivid painting of fire using dynamic brushstrokes and paint splatters. Volumetric lighting enhances the photorealistic and highly detailed textures in this octane photograph.
Créé par Gazelli le Apr 4, 2023 en utilisant le modèle générateur d'images AI Stable Diffusion 2.0 (768).
33 Commentaires
Rejoindre la conversation
Kolton Roebuck @Kolton
amazing
2023-05-04T18:56:12.249ZReply
Dark Souls again! Soooo cool! 😍😍 I’ll call this the Antelope Fire Knight 🔥🔥
Whoa looks like my P H O E N I X series, very cool :)
Paramètres de Création
- Prompts textuels
- "fire", textured Speedpaint with large rough brush strokes paint splatter by Jeremy Mann, Carne Griffiths, Robert Oxley, Jean Baptiste Monge, Ruan Jia, masterpiece, particles, highly detailed, sharp focus, octane photograph, 16k Octane Render SFX, Behance, volumetric lighting, photorealismWeight: 1ugly, 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: -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, draftWeight: -0.3
- Modèle
- Résolution initiale
Low
- Rapport d'aspect
1:1
- Durée d'exécution
Short
- Poids de l'invite globale
70%
- Poids du bruit
50%
- Méthode d'échantillonnage
K_DPMPP_2M
