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3 years ago
Oh, God, No!!!
Créé 3 years ago · 10 commentaires· 0 j'aime
SDXL 1.0
SDXL won't tell me...
Résumé de création par Vincent
Exotic Women on Train in Watercolor Style
This image shows tall women resembling exotic grazing animals swaying gracefully on a train. The artwork has watercolor volumetric lighting, sharp focus, and photorealistic rendering.
Créé par Nick M le Mar 23, 2024 en utilisant le modèle générateur d'images AI SDXL 1.0.
10 Commentaires
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Lupus @Bonampak
Was still laughing hours after ranking! Just 1000 signs:
Many have not told what they asked AI for instead. At least two would have ranked higher, one would have won!
Only 8 out of 28 have opened their prompts. If the intent isn't obvious others cannot laugh as much.
All who followed the 2 rules ranked way below the ones who didn't. This is a game room about laughter, not frustration.
One open prompt reveals, the "fusion" is intentional!
I decided to leave the mysterious no-caption-info ones at voting start, as I loved them. I want to keep it that way. This must not get out of hand for that.
Plus: As usual in all my games, the highest ranking of those who followed the rules most closely, gets to choose the next challenge. That's skipping myself (22nd) Jim B @silverbear1969 on place 25!
Ok, back to laughter, here's the gallery:
Next fail-game:
2024-07-21T17:33:44.356ZReply
Haha, that is disturbing!!! Grandiose! And now we know what you intended: "The girls looked like tall, exotic grazing animals, swaying gracefully". Congratulations for runner-up!
Paramètres de Création
- Prompts textuels
- (The girls looked like tall, exotic grazing animals, swaying gracefully and unconsciously with the movement of the train, their high heels like polished hooves against the gray metal of the car’s floor:1.1) (watercolor volumetric lighting subtractive lighting sharp focus hyperdetailed Unreal Engine 8K ...Weight: 1
- Modèle
CKPT- Résolution initiale
Medium
- Rapport d'aspect
1:1
- Durée d'exécution
Short
- Poids de l'invite globale
50%
- Poids de l'affineur
50%
- Méthode d'échantillonnage
K_DPMPP_2M
