Generate your own creepy portraits with AI
Create your own creepy and unusual portraits using our free AI image generator. It's easy and fun!
3 years ago
Creepy Aubrey V8
Created 3 years ago · 7 comments· 0 likes
Stable Diffusion 1.5
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
Join the conversation
Lapinator @L4pinator
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.
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, masterpieceWeight: 1head 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 lightingWeight: 0.9
- Model
- Initial Resolution
Thumb
- Aspect Ratio
1:1
- Runtime
Short
- Overall Prompt Weight
70%
- Sampling method
K_LMS
