File:Algorithmically-generated artworks of women in imitation thick brushstroke style.png

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Description

Algorithmically-generated AI artworks consisting of young women wearing modern-day clothing, in imitation thick brushstroke painted style, created using the Stable Diffusion V1-4 AI diffusion model.

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 nine 512x512 images were generated with txt2img using the following prompts:

Prompt: busty young girl, art style of Michael Garmash

Negative prompt: (((deformed))), bad anatomy, disfigured, mutation, mutated, (extra_limb), (ugly), ((((mutated hands and fingers))))

Steps: 50, Sampler: LMS, CFG scale: 7.5

Then, two passes of the SD upscale script using "Real-ESRGAN 4x plus anime 6B" were run within img2img. The first pass used a tile overlap of 64, denoising strength of 0.3, 50 sampling steps with Euler a, and a CFG scale of 7. The second pass used a tile overlap of 128, denoising strength of 0.1, 10 sampling steps with Euler a, and a CFG scale of 7.
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Author Benlisquare
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(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[edit]

I, the copyright holder of this work, hereby publish it under the following licenses:
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
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Under the following conditions:
  • 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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current08:08, 28 September 2022Thumbnail for version as of 08:08, 28 September 20226,144 × 6,144 (29.03 MB)Benlisquare (talk | contribs){{Information |Description=Algorithmically-generated AI artworks consisting of young women wearing modern-day clothing, in imitation thick brushstroke painted style, created using the [https://github.com/CompVis/stable-diffusion Stable Diffusion V1-4] AI diffusion model. ;Procedure/Methodology All artworks created using a single NVIDIA RTX 3090. Front-end used for the entire generation process is [https://github.com/AUTOMATIC1111/stable-diffusion-webui Stable Diffusion web UI] created by [ht...

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