File:X-Y plot of algorithmically-generated AI art of office worker demonstrating the use of prompt emphasis.png

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Summary

Description

An X/Y plot of algorithmically-generated AI portrait artworks depicting a female office worker with varying sinister facial expressions, created using a custom merged Stable Diffusion AI diffusion model checkpoint featuring wd-v1-3-full.ckpt merged with F111 and Stable Diffusion V1-5 at 0.5 sigmoid, and then merged with R34_e4 at 0.25 weighted sum. This plot serves to illustrate how emphasis markers work within a text prompt, and how they alter the output of an AI-generated artwork. Square brackets are used for de-emphasis, while parentheses are used for emphasis.

Procedure/Methodology

These images were generated using an NVIDIA RTX 4090; since Ada Lovelace chipsets (using compute capability 8.9, which requires CUDA 11.8) are not fully supported by the pyTorch dependency libraries currently used by Stable Diffusion, I've used a custom build of xformers, along with pyTorch cu116 and cuDNN v8.6, as a temporary workaround. Front-end used for the entire generation process is Stable Diffusion web UI created by AUTOMATIC1111.

A batch of 768x1024 images were generated with txt2img using the following prompts:

Prompt: [[[[[[evil smile]]]]]], acrylic painting, eyeshadow, cute, sharp focus, office lady, business suit, blouse, short skirt, desk, computer, Choker, dynamic lighting, Intricate, High detail, detailed realistic face, Evocative pose, office setting, workplace setting, heels, shy

Negative prompt: ((out of frame)), nipples, nudity, male child deformed (monochrome) b&w (furry) blurry By Antonio Mora Clive Barker Egon Schiele Ernst Ludwig Kirchner By Francis Bacon Frida Kahlo Giuseppe Arcimboldo Jean-Michel Basquiat John Lasseter John Wilhelm Kazuo Umezu Laurie Lipton Naoto Hattori Otto Dix Bridget Bate Tichenor Hannah Hoch

Settings: Steps: 40, Sampler: Euler a, CFG scale: 9, Size: 768x1024, Highres. fix, Denoising strength: 0.7

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: [[[[[[evil smile]]]]]], [[[evil smile]]], [[evil smile]], [evil smile], evil smile, (evil smile), ((evil smile)), (((evil smile))), ((((((evil smile))))))
  • Y-axis: None
This script searches for the first value (in this case "[[[[[[evil smile]]]]]]") within the prompt, and replaces the string with the subsequent comma-separated values.
Date
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Author Benlisquare
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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.
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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

31 October 2022

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File history

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Date/TimeThumbnailDimensionsUserComment
current03:18, 9 August 2023Thumbnail for version as of 03:18, 9 August 20236,912 × 1,168 (6.6 MB)Obscure2020Optimized with OxiPNG and ZopfliPNG.
06:26, 1 November 2022Thumbnail for version as of 06:26, 1 November 20226,912 × 1,168 (7.15 MB)Benlisquareuse SD ft-mse-original VAE which seems to generate eyes better (at the cost of some hands), instead of WD kl-f8-anime2 VAE
03:44, 31 October 2022Thumbnail for version as of 03:44, 31 October 20226,912 × 1,168 (7.37 MB)Benlisquare{{Information |Description=An X/Y plot of algorithmically-generated AI portrait artworks depicting a female office worker with varying sinister facial expressions, created using a custom merged Stable Diffusion AI diffusion model checkpoint featuring [https://huggingface.co/hakurei/waifu-diffusion wd-v1-3-full.ckpt] merged with [https://ai.zeipher.com/ F111] and [https://huggingface.co/runwayml/stable-diffusion-v1-5 Stable Diffusion V1-5] at 0.5 sigmoid, and then merg...
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