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Ominous Portrait of Aubrey Plaza in Digital Art Style
Ominous Portrait of Aubrey Plaza in Digital Art Style
3 years ago

Creepy Aubrey V8

Created 3 years ago · 7 comments· 0 likes

Stable Diffusion 1.5

Vincent's Avatar
Creation Summary by Vincent

Ominous Portrait of Aubrey Plaza in Digital Art Style

This image shows a hyperdetailed portrait of Aubrey Plaza with magical reflective lighting. The portrait is rich with chromatic aberration and volumetric lighting in a digital art style.

Created by groovymovie on Dec 5, 2022 using the Stable Diffusion 1.5 AI image generator model.


7 Comments

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When you know what you want, try to describe it, the add some artists that look like they fit what you want to achieve in terms of style (studies :

), and then add basic modifiers. Then it's a game of trials and errors

2022-12-05T18:07:41.353ZReply

Ok, well, I think there are many way to improve from here... First is to know what you're going for. Hoping for top hourly is a big feat and maybe not as easy as you think. First, learn to build prompt depending on what you want your end result to look like and get rid of the presets if you want to use one complex as this one that I guess you didn't create yourself.

Very nice! I like it….So what specifically would you like me to critique.

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Creation Settings

Preset Style

Artistic Portrait

Text Prompts
ominous portrait of Aubrey Plaza, Hyperdetailed, Lisa Frank, Intricately detailed, chromatic aberration, volumetric lighting, 32k HD rendering, reflective lighting, Magical, Beautiful, mesmerizing, 8k resolution concept art, trending on artstation, digital, masterpiece
Weight: 1
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

70%

Sampling method

K_LMS


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