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Miniature Aquarium in Mason Jar, Hyperdetailed Digital Art
Miniature Aquarium in Mason Jar, Hyperdetailed Digital Art
PRO
3 years ago

Eco-things

Created 3 years ago Ā· 2 commentsĀ· 0 likes

Stable Diffusion 1.5Stable Diffusion 1.5

#wood#strange#vegetal
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Creation Summary by Vincent

Miniature Aquarium in Mason Jar, Hyperdetailed Digital Art

This image shows a miniature aquarium inside a mason jar in a forest. Microscopic jellyfish and other creatures inhabit the scene, rendered as highly detailed digital art with diffused lighting in split-complementary colors.

Created by SteAl on Feb 9, 2023 using the Stable Diffusion 1.5 AI image generator model.


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PRO
Adoro!! So cute 🄰
2023-02-24T15:11:40.504ZReply
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Creation Settings

Text Prompts
Hyperdetailed "mini acquarium in a mason" in the woods, Lilliputian, some microscopic jellyfish inside, ribbon-like leaf, sand: by Tatsuya Tanaka, Julieta la Valle and Slincachu, Pixar, macro, scale model technique, digital art diffuse light silver polaroid 4K 64 megapixels 8K resolution
Weight: 1
Hyperdetailed microscopic friendly bugs-like creatures in the wood, tardigrades, Beautiful irrealistic Japanese art by Ismail Inceoglu: Jeff Koons: Erin Hanson: Pixar: professional photography, natural lighting, volumetric lighting maximalist photoillustration: marton bobzert: 8k resolution concept ...
Weight: 1.4
Surrealist composition, macro by Carlo Galliani, Ronnie Gaubert, Dale Chihuly, and Ernst Haeckel. , moonlight background, glass art, clear environment, meticulously detailed, Split-complementary colors, hyper-realistic, anna ditman, tom bagshaw, Josephine Wall, gustave dore, accurate anatomy, smooth, ...
Weight: 1.1
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

16:9

Runtime

Short

Overall Prompt Weight

70%

Sampling method

K_LMS


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