Design Your Own Fantasy Characters with AI
Create your own fantasy character art with AI. It's free and easy!
Hamalith Swanflight, Leaf Guard Champion
Created 2 years ago · 0 comments· 0 likes
Stable Diffusion 1.5
Younger brother to Cylithera Swanflight. Assigned to protect his older sister in their adventure company days. He has risen up the ranks of the Leaf Guard of the Nightsong Woods. Currently working with Knight-Captain Kelric Bladesong on Foreign Affairs. A warrior of great reknown, known for his mastery of battle.
Fierce Elf Warrior Portrait in Hyperrealistic Style
A hyperrealistic portrait of a striking elven warrior with white hair and grey eyes. The warrior is depicted with intricate glowing skin and detailed elven chain armour in a fantasy setting.
Created by Allen Brown on Oct 1, 2023 using the Stable Diffusion 1.5 AI image generator model.
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Creation Settings
- Text Prompts
- Stunning portrait of handsome male elf, white hair, grey eyes, by Rebecca Yanovskaya, by Sandra Chevrier, greg rutkowski, hyperdetailed; incredible composition; dynamic lighting; meticulously composed, 16k resolution, masterpiece, Reflections, texture, light and shadow, fantasy concept art, intense, ...Weight: 3detailed matte painting, deep color, fantastical, intricate detail, splash screen, complementary colors, fantasy concept art, 8k resolution trending on Artstation Unreal Engine 5Weight: 3ugly, 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, draft, card art, watermarkWeight: -3Insanely detailed photograph of An elaborate and fierce (elven warrior) with intricate glowing skin, intricate elven chain armour, intricate face and hyperdetailed painting by Ismail Inceoglu Huang Guangjian and Dan Witz CGSociety ZBrush Central fantasy art album cover art 4K 64 megapixels 8K resolution ...Weight: 3
- Model
- Initial Resolution
Low
- Aspect Ratio
1:1
- Runtime
Short
- Overall Prompt Weight
80%
- Noise Weight
30%
- Sampling method
K_LMS
