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Fiery Haired Character Portrait in Hyperdetailed Style
Fiery Haired Character Portrait in Hyperdetailed Style
3 years ago

Fire

Created 3 years ago Β· 4 commentsΒ· 0 likes

Stable Diffusion 1.5

#fire#flames#open-prompt-gang#open-prompt
Vincent's Avatar
Creation Summary by Vincent

Fiery Haired Character Portrait in Hyperdetailed Style

A digital portrait of a person with hair made of fire and glowing eyes. The image features embers and intense detail, rendered with dynamic lighting and triadic colors in a hyperdetailed style.

Created by ClosingBelle on Apr 29, 2023 using the Stable Diffusion 1.5 AI image generator model.


4 Comments

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Awesome portrait πŸ‘πŸ‘πŸ‘

2023-05-01T16:35:58.663ZReply
View replies (1)
PRO

excellent flames!

Creation Settings

Preset Style

Artistic Portrait

Text Prompts
Hair made of Fire, Flames for hair, glowing eyes, embers, intense detail, character portrait, 8k resolution concept art portrait by Karol Bak, Greg Rutkowski, Artgerm, WLOP, Alphonse Mucha dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colors Unreal Engine ...
Weight: 1.5
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 lighting
Weight: 0.9
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: -0.3
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 lighting
Weight: 0.9
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

50%

Sampling method

K_LMS


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