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Emma Watson as Warrior Princess: Detailed Fantasy Art
Emma Watson as Warrior Princess: Detailed Fantasy Art
3 years ago

Head snap

Created 3 years ago · 3 comments· 0 likes

Stable Diffusion 1.58x

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Creation Summary by Vincent

Emma Watson as Warrior Princess: Detailed Fantasy Art

A hyperdetailed portrait of Emma Watson as a warrior princess. This digital art features intricate details, dynamic lighting, and a blend of realistic and fantasy elements in black and white.

Created by originaldigga on Feb 1, 2023 using the Stable Diffusion 1.5 AI image generator model.


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3 Comments

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wow, i love the hair

2023-02-01T11:45:54.918ZReply
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Creation Settings

Text Prompts
full body portrait, Emma Watson as badass warrior princess, sweet smile, pretty clothing, intricately detailed, fantasy, airy, hyperdetailed, wet brush, wet canvas, stunning splash art by Ross Tran, Muyang Xu, and Guodong Zhao incredibly detailed face, intense eyes,
Weight: 1
8k resolution concept art by Steve Argyle, Artgerm, Hyper-Realistic, Maximalist, Hyper-Detailed, RTX, Ray Tracing, WLOP, Alphonse Mucha dynamic lighting hyperdetailed intricately detailed Splash art trending on Artstation triadic colours Unreal Engine 5 volumetric lighting, realistic
Weight: 1
acrylic ink, aquarelle, by Jean Baptiste Monge, Hergé, Erin Hanson, Arthur Rackham, cinematic intricately designed, Intricate digital detail; 16K Octane Render photorealism sharp focus clear contrast beautiful light shadows.
Weight: 0.9
black and white Speedpaint with large brush strokes by Junji Ito, Robert Oxley, Ismail Inceoglu, Kaluta, richard anderson, paint splatter, a masterpiece, 8k resolution, trending on artstation, horror, terrifying, highly detailed intricate
Weight: 0.7
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
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Initial Resolution

Thumb

Aspect Ratio

1:1

Runtime

Short

Overall Prompt Weight

70%

Noise Weight

70%

Sampling method

K_LMS


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