⚡ Ends Midnight Tomorrow: Save 50% ⚡ Get 6 months FREE →
Alle besten KI-Modelle an einem Ort
Nano Banana, GPT Image, Flux, Seedream, Seedance und mehr. Versuchen Sie es jetzt kostenlos!
2 years ago
Badger, inspired by Robert Bateman
Erstellt vor 2 years ago · 1 kommentar· 0 Likes
Real Cartoon XL v4
Kreationsübersicht von Vincent
Wildlife Scene in Earthy Tones as Impressionist Painting
This image depicts a serene badger in a forest setting. The artwork captures the essence of a traditional Robert Bateman-style wildlife painting with warm, earthy tones and a focus on natural textures.
Erstellt von Relaxing Kiwi am Dec 11, 2024 unter Verwendung des Real Cartoon XL v4 KI-Bildgenerator-Modells.
1 Kommentar
An der Unterhaltung teilnehmen
Kelli Benjamin-Limae Creations @Limae11
Wow! Thank you all so much for entering in my Animal challenge letter B, I really loved seeing all of the different animals, Special congratulations 🎉🎉🎊🎊 to 🥇1st place @Jwil73 🥈2nd @Little-Lady-Lalwen and a 3 way tie for 3rd!!🥉 @BetsyBea @Shadowin @WinterWitch thats awesome!!! I give everyone likes and 💝!!!! I do want to give a special shout out to @AevalKitten @KissNoAi and @GrandmaM for their lovely entries of animals I have never heard of, very cool!!! 🦋🐦⬛🐻
🐈⬛🐈🐛🐈⬛🐈🐛 Next up in the Animal Alphabet Room is the Letter ©️C 🐛🐛🐛🐛🐛🐛🐛🐛🐛 Stay in the same chat as I will use the same room for the rest of the alphabet, next challenge will be in the chat soon, in the meantime 👀 check out my fun celebration challenge if you haven't yet
2024-12-15T07:22:38.609ZReply
Kreationseinstellungen
- Text-Prompts
- Badger, inspired by Robert BatemanWeight: 1poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, bad anatomy, watermark, signature, cut off, low contrast, underexposed, overexposed, bad art, beginner, amateur, distorted face, bad qualityWeight: -0.3
- Modell
- Anfangsauflösung
Medium
- Seitenverhältnis
1:1
- Laufzeit
Short
- Gesamt-Prompt-Gewicht
50%
- Verfeinerungsgewicht
50%
- Abtastmethode
K_DPMPP_2M
