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Create Seasonal Landscape Art with AI

Explore the beauty of seasonal transitions. Create your own stunning 'Spring to Morning, Fall to Dusk' images with our free AI generator!

Changing Seasons at Ancient Ruins: Manga Style
Changing Seasons at Ancient Ruins: Manga Style
3 years ago

Spring to Morning, Fall to Dusk

Created 3 years ago · 7 comments· 0 likes

Stable Diffusion 1.5

#landscape#open-prompt#daily-challenge

Daily Challenge #137:Seasonal Changes

Vincent's Avatar
Creation Summary by Vincent

Changing Seasons at Ancient Ruins: Manga Style

A manga-style image of ancient ruins split between winter and summer. The artwork features thick ink outlines, vibrant colors, and brushstrokes, reminiscent of anime key visuals.

Created by Eidoloon on Feb 27, 2023 using the Stable Diffusion 1.5 AI image generator model.


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Amazing!

2023-02-27T08:25:01.927ZReply
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Creation Settings

Text Prompts
art by Takehiko Inoue, art by Yusuke Murata, art by Kaoru Mori, Manga, thick outlines, ink, brushstrokes
Weight: 1
Michael Whelan, fantasy book cover, thick ink outlines, vibrant Color, brushstrokes, studio Ghibli, Anime Key Visual, by Makoto Shinkai, Deep Color, Intricate, 8k resolution concept art, Natural Lighting, Beautiful Composition
Weight: 1.6
Oil splash!! Oil stained!!, intricate hyperdetailed fluid gouache illustration by Android Jones: By Ismail Inceoglu and Jean Baptiste mongue: James Jean: Erin Hanson: Dan Mumford: professional photography, natural lighting, volumetric lighting maximalist photoillustration: marton bobzert: 8k resolution ...
Weight: 2
Cinematic ancient ruins, half winter, half summer, changing seasons, winter on left, summer on right
Weight: 3
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

Medium

Overall Prompt Weight

60%

Noise Weight

60%

Sampling method

K_LMS


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