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Post-Apocalyptic City Street Painting in Unreal Engine
Post-Apocalyptic City Street Painting in Unreal Engine
3 years ago

Post-apocalyptic street

Created 3 years ago · 0 comments· 0 likes

Stable Diffusion 1.56x

#postapocalyptic

Daily Challenge #152:A World Without People

Vincent's Avatar
Creation Summary by Vincent

Post-Apocalyptic City Street Painting in Unreal Engine

A detailed image of a derelict city street reclaimed by nature. The scene evokes urban decay with photorealistic rendering, muted colors, and volumetric lighting to enhance the dystopian atmosphere.

Created by 9no on Mar 14, 2023 using the Stable Diffusion 1.5 AI image generator model.


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Creation Settings

Text Prompts
A hyper-detailed painting of a post-apocalyptic city street, showcasing the crumbling rusty concrete, overgrown with vegetation, the dimly lit and eerie atmosphere, and the sense of abandonment and despair. By J.A.W. Cooper, Eric White, David Palumbo, Dave Rapoza and Simon Stålenhag.
Weight: 1
Suitable for the genres of dystopian, post-apocalyptic, and urban decay. Best painted using techniques of photorealism, hyperrealism, and urban sketching. Colors should be muted, dark, and gritty.
Weight: 1
The best design tools for this image would be 3D shading, 3Delight, 3DEXCITE, 3ds Max, AppGameKit, Art of Illusion, Artrift, AutoCAD, Behance HD, Cinema 4D, CryEngine, Doodle Addicts, finalRender, Horde3D, IMAX, LightWave 3D, Mandelbulber3d, Octane Render, pixiv, Polycount,
Weight: 1
rendered in Blender, shadow depth, Sketchfab, Sketchlab, Substance Designer, Unity 3D, Unreal Engine, Unreal Engine 5, Unsplash, volumetric lighting, VRay, ZBrush, ZBrush Central. 8K 3D, Unreal Engine, CGSociety, trending on Artstation.
Weight: 1
ugly, tiling, poorly drawn cars, 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

50%

Sampling method

K_LMS


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