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2 years ago
Honeybear, honey made into a bear, honey+bear, honey fused bear, 🐻 + 🍯, Bear made of Honey
Créé 2 years ago · 2 commentaires· 0 j'aime
DreamShaper v82x
Résumé de Création par Vincent
Honey Bear in Sunny Forest: Digital Matte Painting
A striking picture of a bear formed from honey, standing in a sunlit forest. The digital matte painting aesthetic features soft, warm lighting, pastel colors, and intricate details.
Créé par LilacVenom le Sep 20, 2024 en utilisant le modèle générateur d'images AI DreamShaper v8.
Images de Progression
2 Commentaires
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Ember @Fox_Queen
Thank you all for playing and making this challenge Ultra! Congrats to @Kosh for 1st place, @ThordisAlfstein for 2nd place and @Possiblity for 3rd place! Here is the link to the next one, let's make it up to 300 players for Mega Boost!
2024-10-06T02:05:50.062ZReply
Thanks for participating in the challenge 💖 Congrats to winners 🎉
- 🥇 Winner: NZ9074 @NC9074
- 🥈 Runner up: Superbear @DJBear
- 🥉 Third place: Kingfisher @Eisvogel
- 🥉 Third place: Geetha @GetRed
- 🥉 Third place: Nednut4362 @Nednut4362
- 🥉 Third place: Cobalt Blue @bluecobalt
Join new No theme challenge:
Paramètres de Création
- Prompts textuels
- Honeybear, honey made into a bear, honey+bear, honey fused bear, 🐻 + 🍯, Bear made of HoneyWeight: 1detailed matte painting, deep color, fantastical, intricate detail, splash screen, complementary colors, fantasy concept art, 8k resolution trending on Artstation Unreal Engine 5Weight: 1Pixar, Disney, concept art, 3d digital art, Maya 3D, ZBrush Central 3D shading, bright colored background, radial gradient background, cinematic, Reimagined by industrial light and magic, 4k resolution post processingWeight: 1By artist "anime", 3d anime art, inspired by WLOP, Artstation, #genshinimpact pixiv, extremely detailed, aesthetic, concept art, ultrafine detail, breathtaking, 8k resolution, vray tracingWeight: 1
- Modèle
CKPT- Résolution initiale
Thumb
- Rapport d'aspect
1:1
- Durée d'exécution
Short
- Poids de l'invite globale
50%
- Poids du bruit
50%
- Méthode d'échantillonnage
DDIM
- Image de départ
