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Generate your own Viking warrior portraits

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Viking Warrior Portrait in Dark Fantasy Style
Viking Warrior Portrait in Dark Fantasy Style
a year ago

Dark fantasy male attractive viking warrior with ginger hair, head and shoulders portrait, 8k resolution concept art portrait by Greg Rutkow...

Created 3 years ago Β· 2 commentsΒ· 0 likes

Stable Diffusion 1.5

#fantasy#man#viking#portrait#open-prompt-gang
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Creation Summary by Vincent

Viking Warrior Portrait in Dark Fantasy Style

A detailed portrait of a ginger-haired Viking warrior. This striking image features dynamic lighting, intricate details, and rich color depth, reminiscent of fantasy concept art.

Created by Connor Neary on Jun 9, 2023 using the Stable Diffusion 1.5 AI image generator model.


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2024-08-16T23:44:06.642ZReply

Creation Settings

Text Prompts
Dark fantasy male attractive viking warrior with ginger hair, head and shoulders portrait, 8k resolution concept art portrait by Greg Rutkowski, Artgerm, WLOP, Alphonse Mucha dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine 5 volumetric ...
Weight: 3
ugly, 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
Weight: -3
intricate details, HDR, beautifully shot, hyperrealistic, sharp focus, 64 megapixels, perfect composition, high contrast, cinematic, atmospheric, moody
Weight: 2
Close-up portrait, color portrait, Linkedin profile picture, professional portrait photography by Martin Schoeller, by Mark Mann, by Steve McCurry, bokeh, studio lighting, canon lens, shot on dslr, 64 megapixels, sharp focus
Weight: 1
Hyperrealistic, splash art, concept art, mid shot, intricately detailed, color depth, dramatic, 2/3 face angle, side light, colorful background
Weight: 1
Model
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Initial Resolution

Thumb

Aspect Ratio

1:1

Runtime

Short

Overall Prompt Weight

80%

Noise Weight

40%

Sampling method

K_LMS


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