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Generate your own Guizhou water village images
Create your own beautiful Guizhou water village scenes with our free AI image generator. It's easy!
2 years ago
Beautiful Guizhou water village. Karst mountains. Waterfall. Bridge. River.<lora:Ink Wash Painting:1.0>
Créé 2 years ago · 3 commentaires· 0 j'aime
Ink Wash Painting
Résumé de création par Vincent
Guizhou Water Village: Ink Wash Painting
This image shows a traditional Guizhou water village nestled among karst mountains. A waterfall cascades into a river spanned by a bridge, all rendered in an ink wash painting style.
Créé par Aquaman420 le Jun 7, 2024 en utilisant le modèle générateur d'images AI Ink Wash Painting.
3 Commentaires
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Just_Dutch_Kris @Just_Dutch_Kris
Thank you all for participating in the "Ink Wash Painting" game. All beautiful creations. Some very traditional, others so colorful and several who choose to use my "Ink Wash Painting" LoRa. Thank you for using it.
Congratulations go to our Top 3. Congratulations on your ranking.
Thank you all for participating and I hope to see you all in our next game. Our next game needs some "study", because it is not a well known theme.
Our next game challenge is about a surreal artwork of an imaginary world: The Codex Seraphinianus by Luigi Serafini
Here are a few links: https://en.wikipedia.org/wiki/Codex_Seraphinianus ↗️
https://www.grapheine.com/en/graphic-design-en/codex-seraphinianus-the-most-peculiar-book-in-the-world ↗️
For this challenge I created a LoRa, but it is not yet published.
2024-06-10T10:18:06.515ZReply
Paramètres de Création
- Prompts textuels
- Beautiful Guizhou water village. Karst mountains. Waterfall. Bridge. River.<lora:Ink Wash Painting:1.0>Weight: 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
CKPT- Modèles Addon
LoRA
Just_Dutch_Kris- Résolution initiale
Medium
- Rapport d'aspect
1:1
- Durée d'exécution
Short
- Poids de l'invite globale
50%
- Méthode d'échantillonnage
K_DPMPP_2M
