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Vibrant Shaolin Warrior Ignites with Realistic Fire
Vibrant Shaolin Warrior Ignites with Realistic Fire
2 years ago

African-Chinese Female Fire Shaolin

Created 2 years ago Ā· 1 commentĀ· 0 likes

Crystal Clear XL

Vincent's Avatar
Creation Summary by Vincent

Vibrant Shaolin Warrior Ignites with Realistic Fire

A cinematic portrait of a powerful African-Chinese female Shaolin warrior, set ablaze with vibrant orange and red hues, captured in stunning 8K resolution with dynamic lighting and intricate detail.

Created by Susan on Jan 4, 2025 using the Crystal Clear XL AI image generator model.


1 Comment

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2025-01-04T00:32:05.676ZReply

Creation Settings

Fix Faces Prompt

"a realistic 18 year old African-Chinese Female Fire Shaolin dressed in a vibrant Orange and Red Shaolin Taoist suit, making fire 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 Cinematic film still, shot on v-raptor XL, film grain, vignette, color graded, post-processed, cinematic ..."
Weight: 1

Creativity

30%

Text Prompts
a realistic 18 year old African-Chinese Female Fire Shaolin dressed in a vibrant Orange and Red Shaolin Taoist suit, making fire
Weight: 1.3
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 Cinematic film still, shot on v-raptor XL, film grain, ...
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
Model
Crystal Clear XL
CKPT

Crystal Clear XL

Initial Resolution

Medium

Aspect Ratio

4:3

Runtime

Long

Overall Prompt Weight

50%

Refiner Weight

50%

Noise Weight

50%

Sampling method

K_DPMPP_2M


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