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3 years ago
Human Impact
Créé 3 years ago · 8 commentaires· 0 j'aime
SDXL 1.0
this was an experiment using a paragraph from an article by author Mpho Kuhlmann in a publication called Sunday Standard about human beauty, makeup, fashion, etc. Interesting where AI took that idea. Looks like a political statement or Armageddon! Dim the lights, cue Steven Tyler! "I Don't Want to Miss a Thing."
Prompt: Human beings have always coveted beautiful objects, but the desire to look good has spawned trillion Pula (sic. DOLLAR?) industries, inspired scientific researches and redefined race politics. High definition. photo realism. Deep depth of field. Dramatic lighting
Résumé de création par Vincent
Apocalyptic Armageddon: Photorealistic Political Statement i...
This image shows a post-apocalyptic scene with strong political undertones. The high-definition photorealistic rendering features dramatic lighting, deep color, and intricate details as digital art.
Créé par Wagawoman le Aug 18, 2023 en utilisant le modèle générateur d'images AI SDXL 1.0.
8 Commentaires
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Just Yaksa @Yaksa
Wow this is amazing!!!
2023-09-05T23:12:46.281ZReply
I like experimenting with prompts this way too. It worked out well! Sometimes I find they work better when I give them a Start Image that reminds me of the paragraph
![[deleted]](https://images.nightcafe.studio//assets/profile.png?tr=w-320,c-at_max)
Paramètres de Création
- Style prédéfini
NightCafe
- Prompts textuels
- Human beings have always coveted beautiful objects, but the desire to look good has spawned trillion Pula industries, inspired scientific researches and redefined race politics. High definition. photo realism. Deep depth of field. Dramatic lightingWeight: 1detailed matte painting, deep color, fantastical, intricate detail, splash screen, complementary colors, fantasy concept art, 8k resolution trending on Artstation Unreal Engine 5Weight: 0.9
- Modèle
CKPT- Résolution initiale
Medium
- Rapport d'aspect
1:1
- Durée d'exécution
Short
- Poids de l'invite globale
50%
- Poids du bruit
50%
- Méthode d'échantillonnage
K_DPMPP_2M
