Generate Your Own Barbarian Warriors with AI
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2 years ago
The Grizzled Barbarian
Created 2 years ago · 3 comments· 0 likes
SDXL DPO
First successful inPAINting
Creation Summary by Vincent
Grizzled Barbarian in Medieval Matte Painting
A dramatic image of a barbarian warrior in a detailed medieval setting. The artwork features deep shadows and a matte painting style reminiscent of classic fantasy illustrations.
Created by Thoragh on May 15, 2024 using the SDXL DPO AI image generator model.
3 Comments
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Forged Anew @4GDANUthoughtfortheday
That inpainting worked out a treat. Excellent job, Thoragh! 👏
2024-05-17T21:08:17.134ZReply
Thank you for kindly taking part in my "Barbarians" Challenge. Congratulations to our winner, Duke35, our runner up, Lellysaur, and to Vizual with a very worthy third!
Thank you all for your amazing entries and especially all of you good folks who voted and voted positively. Our Success is thanks to you!
Your brilliantly barbarous creation was a pleasure to see and voting on such an excellent and outstandingly imaginative creation made this challenge a difficult but very fun, rewarding and exciting one. Thank you for sharing your passion, imagination and effort with us. Your creativity makes T3 the vibrant and interesting, place it is and I hope you will join us again in the next challenge starting soon.
Regards Forged Anew
Full challenge results available here
Next up: Sci-fi
Creation Settings
- Text Prompts
- deep shadows under the wrist and arm Detailed medieval background. Matte painting Jeff Easley, Tom Wham, and D.A. Trampier.Weight: 1.5(2D || Low Quality || text logos || watermarks || signatures || out of frame || jpeg artifacts || ugly || poorly drawn || extra limbs || extra hands || extra feet || backwards limbs || extra fingers || extra toes || unrealistic, incorrect, bad anatomy || cut off body pieces || strange body positions ...Weight: -1.4
- Model
CKPT- Initial Resolution
Medium
- Aspect Ratio
4:3
- Runtime
Short
- Overall Prompt Weight
35%
- Refiner Weight
50%
- Noise Weight
90%
- Sampling method
K_DPMPP_2M
