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3 years ago
Grown
Créé 3 years ago · 39 commentaires· 0 j'aime
SDXL 1.0
Résumé de Création par Vincent
Overgrown Dystopian Cityscape in Unreal Engine Style
A digital rendering of a ruined city reclaimed by nature. This image depicts a post-apocalyptic urban landscape overrun with lush vegetation in a splash art style.
Créé par Boodle le Dec 1, 2023 en utilisant le modèle générateur d'images AI SDXL 1.0.
39 Commentaires
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Asadullah @asadullah
Great !
2024-02-10T12:44:49.023ZReply
Welcome to the NightCafe! Awesome 🤩Art! Liked and following.
Artist
I’d just like to say a big thank you to all you guys who liked and/or commented (to compliment) on the 5 pieces (of which this is one of) that got me my treasured “Top Hourly” badge earlier today. It’d be an understatement to say I couldn’t have done it without you, because it was 100% due to you awesome people who used precious moments of your NightCafe creating/browsing time, to recognise, support and congratulate me with your interactions that got me it. I hope I can be the quality of ‘creator friend’ to you, that you have clearly to me. I’ve been touched by your kindness today, and it’s something I now realise that I desperately needed, and I will not forget. If possible I am going to thank you all individually, but this one is for you all as a community. One that I am rapidly become enamoured with, and proud to be a part of.
Not bad. I'm probably gonna use that template for an idea I have.
Paramètres de Création
- Prompts textuels
- Dystopian massively Overgrown city covered in vines and moss vegetation, trending on Artstation dynamic lighting Splash art Unreal Engine by Greg Rutkowski Dan MumfordWeight: 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: -1
- Modèle
CKPT- Résolution initiale
Medium
- Rapport d'aspect
1:1
- Durée d'exécution
Long
- Poids de l'invite globale
75%
- Poids de l'affineur
15%
- Méthode d'échantillonnage
K_DPMPP_2M
