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File:X-Y plot of Algorithmically-generated AI art by different deceased painters.png

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Summary

Description

An X/Y plot of algorithmically-generated AI portrait artworks featuring the painting styles of various different dead artists, created using the Stable Diffusion V1-4 AI diffusion model. The artists used for this experiment are Alphonse Mucha (1860 - 1939), Albert Lynch (1860 - 1950), and Sophie Anderson (1823 - 1903). The purpose of this image is to illustrate key fundamentals for the discussion located at Commons:Village pump#AI-generated works.

Procedure/Methodology

All artworks created using a single NVIDIA RTX 3090. Front-end used for the entire generation process is Stable Diffusion web UI created by AUTOMATIC1111.

A batch of 512x768 images were generated with txt2img using the following prompts:

Prompt: art by Alphonse Mucha, young woman in medieval noblewoman outfit, acrylic (painting) sharp focus. cute (((perfect face))) (Evocative pose) Intricate (High detail) ((Sharp)), young maiden. dynamic lighting. (detailed realistic face), detailed pupils

Negative prompt: ((out of frame)) ((extra fingers)) mutated hands, ((poorly drawn hands)) ((poorly drawn face)) (((mutation))) (((deformed))) ((ugly)) blurry, ((bad anatomy)) ((bad proportions)) ((extra limbs)) cloned face, glitchy, (double torso) ((extra arms)) ((extra hands)) ((mangled fingers)) (missing lips) ((ugly face)) ((extra legs)) anime

Settings: Steps: 20, Sampler: Euler a, CFG scale: 5.0, Size: 512x768, Highres. fix, Denoising strength: 0.7, Scale latent

During the generation of this batch, the X/Y plot was generated using the "X/Y plot" txt2img script, along with the following settings:

  • X-axis: Prompt S/R: art by Alphonse Mucha, art by Albert Lynch, art by Sophie Anderson, art by [Alphonse Mucha{{|}}Albert Lynch{{|}}Sophie Anderson], [art by Alphonse Mucha{{|}}art by Albert Lynch{{|}}art by Sophie Anderson], art by Alphonse Mucha AND art by Albert Lynch AND art by Sophie Anderson
  • Y-axis: CFG Scale: 5, 8, 10
This script searches for the first value (in this case "art by Alphonse Mucha") within the prompt, and replaces the string with the subsequent comma-separated values.
Date
Source Own work
Author Benlisquare
Permission
(Reusing this file)
Output images

As the creator of the output images, I release this image under the licence displayed within the template below.

Stable Diffusion AI model

The Stable Diffusion AI model is released under the CreativeML OpenRAIL-M License, which "does not impose any restrictions on reuse, distribution, commercialization, adaptation" as long as the model is not being intentionally used to cause harm to individuals, for instance, to deliberately mislead or deceive, and the authors of the AI models claim no rights over any image outputs generated, as stipulated by the license.

Addendum on datasets used to teach AI neural networks
Artworks generated by Stable Diffusion are algorithmically created based on the AI diffusion model's neural network as a result of learning from various datasets; the algorithm does not use preexisting images from the dataset to create the new image. Ergo, generated artworks cannot be considered derivative works of components from within the original dataset, nor can any coincidental resemblance to any particular artist's drawing style fall foul of de minimis. While an artist can claim copyright over individual works, they cannot claim copyright over mere resemblance over an artistic drawing or painting style. In simpler terms, Vincent van Gogh can claim copyright to The Starry Night, however he cannot claim copyright to a picture of a T-34 tank painted with similar brushstroke styles as Gogh's The Starry Night created by someone else.

Licensing

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attribution share alike
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  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
GNU head Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled GNU Free Documentation License.
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inception

11 October 2022

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Date/TimeThumbnailDimensionsUserComment
current11:30, 11 October 2022Thumbnail for version as of 11:30, 11 October 20223,456 × 2,635 (9.04 MB)Benlisquare{{Information |Description=An X/Y plot of algorithmically-generated AI portrait artworks featuring the painting styles of various different dead artists, created using the [https://github.com/CompVis/stable-diffusion Stable Diffusion V1-4] AI diffusion model. The artists used for this experiment are Alphonse Mucha (1860 - 1939), Albert Lynch (1860 - 1950), and Sophie Anderson (1823 - 1903). The purpose of this image...
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