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Self-Aware Machines: Klimt-Inspired Dystopian Art Nouveau
Self-Aware Machines: Klimt-Inspired Dystopian Art Nouveau
2 years ago

"MayanMelt"

Created 2 years ago Β· 2 commentsΒ· 0 likes

Stable Diffusion 2.12x

#weird#experimental

🀘🀑🀘 A piece evolved from one by the user below in the comments, then made from the evolved like second generation,tweaked with MY OWN PROMPT, but I've been spankedfor not leaving the prompt opened so the prompt is now opened.✨πŸͺ„....🫑..... I don't really like looking for prompts if they aren't in the prompt bar when I evolve someone's work which I do very rarely anyway, and if I do it's to get a handle on a style that I would experiment with. So ya, this is that. Open prompt group plug.... Ya... I'm done.πŸ«΅πŸ™„βœŒοΈ

Vincent's Avatar
Creation Summary by Vincent

Self-Aware Machines: Klimt-Inspired Dystopian Art Nouveau

This image depicts self-aware machines in an ornate dystopian landscape. The artwork is rendered with hyperrealistic detail, using imperial colors to create a surreal and dreamlike fantasy scene in an Art Nouveau style.

Created by Dustin Letwin on Jul 8, 2023 using the Stable Diffusion 2.1 AI image generator model.


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You evolved my creation. It says prompts are to be open !!!! So open your prompt when you use my work!

2023-07-08T21:26:41.421ZReply
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Creation Settings

Text Prompts
Alien probe
self aware machines by Gustav Klimt austin osman spare, toyen, caravaggio jean benoit Post-Production, artstation, john salt detailed intricate, dystopian hypermaximalist, dreamlike ornate, hyperrealistic, ethereal 16k surrealistic, spectral, imperial colors, fantastic view, cinematic postprocessing, ...
Weight: 1.5
Post apocalyptic wonderland , by lady in the radiator, H.R. Giger , Giuseppe Arcimboldo, Art Nouveau intricately detailed hyperrealism fantasy imperial colors fantasy imperial colors
Weight: 1.2
Model
Stable Diffusion 2.1
CKPT

Stable Diffusion 2.1

Initial Resolution

Thumb

Aspect Ratio

1:1

Runtime

Short

Overall Prompt Weight

50%

Noise Weight

100%

Sampling method

K_LMS


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