Post-apocalyptic Cityscape Overgrown with Vegetation

Image Description

A detailed scene of a post-apocalyptic city. The dilapidated buildings, overtaken by nature, line both sides of the narrow street. Moss, grass, and vines have engulfed the structures and the ground. Makeshift homes and shelters, made out of repurposed materials, are visible, indicating human habitation amidst the ruins. People stand on the balconies of a multi-story building, observing the street below. A rusted, abandoned vehicle rests among scattered debris and overgrown vegetation. In the background, skyscrapers loom, their facades partially consumed by greenery, with an archway bridge connecting two structures.

Image Styles

photorealism post-apocalyptic environmental art

Image Use Cases

wallpaper design poster design book cover design concept art background for storytelling

Image Contributor

Kate Thompson

I'm the gallery editor at Diffus and I write blogs on topics related to AI art. With expertise in Midjourney, Dalle 3, and Stable Diffusion, I actively contribute to Reddit, Facebook, and Discord communities. I meticulously curate top AI-generated content, ensuring our gallery's excellence.

Disclaimer

Please note that the image provided has been generated by AI using a model uploaded by the user. Diffus offers the cloud-based platform that facilitates the generation process; however, we do not claim ownership of the model nor do we hold the licensing rights to it. Users are responsible for ensuring that their use of this image and the related model complies with the applicable licensing agreements.

Generation Parameters

Prompt

score_9,score_8_up,score_7_up,8k,,ruanyi0723,post-apocalypse,overgrown,moss,people,<lora:0723 post-apocalypse_v1_pony:1>

Negative Prompt

score_6,score_5,score_4,bad anatomy,bad hands,missing fingers,fewer digits,source_furry,source_pony,source_cartoon,3d,blurry,watermark,no humans,

Sampler

Euler a

Model

waiREALCN_v60

CFG Scale

Steps

Seed

1353057328

Image Reviews

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Checkpoints Models

WAIREAL_CN - v60

June 30, 2024

Shorthash: b50bf4831c

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