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Generate evil student portraits with AI

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Sinister Prep Student in Horror Art Style
Sinister Prep Student in Horror Art Style
3 years ago

close up, african-american prep school guy in school uniform, evil snicker, interior shot, horror style by Goya, Tom Bagshaw, Liz Gael, Jere...

Created 3 years ago · 1 comment· 0 likes

Stable Diffusion 1.5

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Creation Summary by Vincent

Sinister Prep Student in Horror Art Style

A chilling close-up of a prep school student with an unsettling expression. The image is rendered with dark, ambient lighting and deep contrasts, reminiscent of classic horror paintings.

Created by Shakaama on Jun 15, 2023 using the Stable Diffusion 1.5 AI image generator model.


1 Comment

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absolutely wondrous and very disturbing

2023-06-15T16:54:25.561ZReply

Creation Settings

Text Prompts
close up, african-american prep school guy in school uniform, evil snicker, interior shot, horror style by Goya, Tom Bagshaw, Liz Gael, Jeremy Mann, Steven Belledin, Andrew Ferez, Jean Baptiste Monge :: dark, ambient lighting, deep contrast::
Weight: 1
close up, african-american prep school guy in school uniform, evil grin, interior shot, horror style by Goya, Tom Bagshaw, Liz Gael, Jeremy Mann, Steven Belledin, Andrew Ferez, Jean Baptiste Monge :: dark, ambient lighting, deep contrast::
Weight: 1
close up, african-american prep school guy in school uniform, evil grin, interior shot, horror style by Goya, Tom Bagshaw, Liz Gael, Jeremy Mann, Steven Belledin, Andrew Ferez, Jean Baptiste Monge :: dark, ambient lighting, deep contrast::
Weight: 1
school uniform
Weight: 1
evil snicker, evil look, horror atmosphere
Weight: 1
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

80%

Noise Weight

0%

Sampling method

K_LMS


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