Generate your own burning forest images with AI
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4 years ago
forest on fire, by Roberto Aizenberg, Michael Kaluta, Zdzisław Beksiński, Dan Mumford and Thomas Kinkade
Créé 4 years ago · 6 commentaires· 0 j'aime
Coherent
Résumé de création par Vincent
Inferno: Hyperrealistic Forest Fire Digital Painting
A dramatic scene of a forest engulfed in flames. Rendered as hyperrealistic digital art with deep colors, geometric patterns, and cel-shaded effects. The image evokes a dark, glowing, and intricate atmosphere.
Créé par Vey Telmo le Aug 13, 2022 en utilisant le modèle générateur d'images AI Coherent.
6 Commentaires
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Samuel @Mister-Suave
Super
2022-08-14T17:04:40.808ZReply
Follow for Follow? teamwork makes the dream work <3
Paramètres de Création
- Prompts textuels
- forest on fire, by Roberto Aizenberg, Michael Kaluta, Zdzisław Beksiński, Dan Mumford and Thomas KinkadeWeight: 1a beautifully and highly detailed painting of a forest on fire, by Iwan Baan, Studio Ghibli, David Friedrich and Martin Johnsom HeadeWeight: 1higly intricate, sophisticated and complex digital painting, concept art, hyperrealism, Cinema 4D, 8k resolution, 64 megapixels, CGSociety, ZBrush Central, behance HD, hypermaximalist, a masterpiece, parallax, geometricWeight: 0.8cel-shaded, depth, particlesWeight: 0.1deep colors, rainbow, vivid, brilliant, colored, bright, polychromatic, glowing neon, geometric, dark, mist, by Gustave Doré, Lee Madgwick and Gustav KlimtWeight: 0.3Art of Illusion, Artrift, finalRender, Flickr, IMAX, Polycount, r/Art, shadow depth, Sketchfab, Sketchlab, Substance Designer, VRay, depth of field, subtractive lighting, panorama, 3DEXCITE, 3Delight, 3D shadingWeight: 0.6too sharp, underexposed, vague, ambiguous, too dark, faces, hair, human, skin, eyes, people, deformed, bokehWeight: -1disordered, untidy, sloppy, nasty, filthy, blur, blurry, undeveloped, noisy, watermark, scratches, messy, paint flecks, dirty, unclearWeight: -1
- Modèle
CKPT- Résolution initiale
Medium
- Rapport d'aspect
16:9
- Poids de l'invite globale
100%
- Poids de l'image de départ
80%
- Poids du bruit
20%
- Amélioration de la précision
Extra
