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Design your own toxic world images with AI

Create your own visions of dystopian worlds. It's free and easy to generate unique AI images with our generator.

Post-Apocalyptic Slums: Nature's Revenge in Heavy Metal Styl...
Post-Apocalyptic Slums: Nature's Revenge in Heavy Metal Styl...
3 years ago

A toxic world where both sides lost.

Created 3 years ago Β· 0 commentsΒ· 0 likes

Stable Diffusion 1.52x

#tree

Thanks @prettysleepyart for base prompt! Sharing is caring. Please continue to keep open and check out my other creations if you like what you see πŸ™

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Creation Summary by Vincent

Post-Apocalyptic Slums: Nature's Revenge in Heavy Metal Styl...

A striking picture of a post-apocalyptic cityscape overtaken by nature. This highly detailed digital artwork showcases trees reclaiming urban ruins in a style reminiscent of heavy metal album covers.

Created by David Gotet on Feb 18, 2023 using the Stable Diffusion 1.5 AI image generator model.


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Creation Settings

Text Prompts
toxic bold illustration, in the style of insanity, medieval slums massively huge mysterious deformation trees rises high above the post-apocalypse slums, city-whirl of frightening deadly dystopia creation trees, in the style of heavy metal cover art showing the astounding true glory of Adobe Photoshop ...
Weight: 1.9
in the style of Adam Paquette, Raymond Swanland, Axel TΓΆrneman, Paul Delvaux, mΓΆbius, steve burg, trending on Artstation, hyperdetailed 8k resolution, cartoon-art, stars, Adam Paquette, complementary deep colors, killer-amazing on artstation, best-selling on artstation
Weight: 1.7
Illustrated Gaelic tree FolkArt symmetrical dystopia, complementary color, of line work, generative ornate intricately bold line-work lines running parallel Twisting And turning,
Weight: 1
Nature rising and winning the war against humanity and taking over the buildings. Trees and branches are all over the ruins.
Weight: 1
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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