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Create stunning portraits of young geishas with AI

Easily generate your own detailed portrait images of beautiful young geishas with our free AI image generator

Yolandi Visser Geisha Before Godzilla, Hyperrealistic Digita...
Yolandi Visser Geisha Before Godzilla, Hyperrealistic Digita...
3 years ago

Yolandi Visser, Insanely detailed portrait photography of a majestic hot beautiful skinny athletic muscular young woman geisha wearing skimp...

Created 3 years ago · 0 comments· 0 likes

Stable Diffusion 1.5

Vincent's Avatar
Creation Summary by Vincent

Yolandi Visser Geisha Before Godzilla, Hyperrealistic Digita...

A striking picture of Yolandi Visser as a geisha in a skimpy kimono, standing before Godzilla destroying Tokyo. This hyperrealistic digital art features vibrant colors and dynamic lighting.

Created by Artificial Intelligence Artist on Jan 3, 2023 using the Stable Diffusion 1.5 AI image generator model.


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Creation Settings

Text Prompts
Yolandi Visser, Insanely detailed portrait photography of a majestic hot beautiful skinny athletic muscular young woman geisha wearing skimpy detailed kimono before „Godzilla destroying tokio“, intricate and hyperdetailed painting by Ismail Inceoglu Huang Guangjian and Dan Witz CGSociety ZBrush Central ...
Weight: 3
hyperrealistic hyperdetailed photorealistic :: Intricate, elaborate, Scenic ,16K resolution, sharp focus, Octane render, masterpiece, volumetric lighting, 3d shading, AIA
Weight: 1.6
cybernetically enhanced ragged rough tattered crazy masked enemy Warhammer cybernetically enhanced Intricate elaborate meticulous Incredibly detailed perfect portrait by Luis Royo :: Hyperrealistic hyperdetailed photorealistic :: Gorgeous+Stunning :: (Artgerm), (Guweiz), {Greg Rutkowski}, WLOP, [Leonid ...
Weight: 0.8
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

16:9

Runtime

Medium

Overall Prompt Weight

100%

Noise Weight

100%

Sampling method

K_LMS


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