File:Ann graham lotz stable diffusion.webp

From Wikipedia, the free encyclopedia
Jump to navigation Jump to search
Original file (661 × 733 pixels, file size: 52 KB, MIME type: image/webp)
This media file has been nominated for deletion since 5 April 2026.
To discuss it, please visit the nomination page.

Do not remove this tag until the deletion nomination is closed.

Reason for the nomination:
AI processing degraded the image and altered facial features, so it is not a valid “altered image” per COM:AIIP.
In other languages
Afrikaans ∙ العربية ∙ azərbaycanca ∙ беларуская (тарашкевіца) ∙ বাংলা ∙ català ∙ čeština ∙ dansk ∙ Deutsch ∙ Deutsch (Sie-Form) ∙ Zazaki ∙ ދިވެހިބަސް ∙ Ελληνικά ∙ English ∙ Esperanto ∙ español ∙ euskara ∙ estremeñu ∙ فارسی ∙ suomi ∙ français ∙ galego ∙ עברית ∙ हिन्दी ∙ hrvatski ∙ magyar ∙ հայերեն ∙ interlingua ∙ Bahasa Indonesia ∙ italiano ∙ 日本語 ∙ ಕನ್ನಡ ∙ 한국어 ∙ кыргызча ∙ Lëtzebuergesch ∙ македонски ∙ മലയാളം ∙ Bahasa Melayu ∙ بهاس ملايو ∙ norsk bokmål ∙ नेपाली ∙ Nederlands ∙ norsk nynorsk ∙ norsk ∙ occitan ∙ polski ∙ português ∙ português do Brasil ∙ română ∙ русский ∙ sicilianu ∙ slovenščina ∙ shqip ∙ српски / srpski ∙ svenska ∙ ślůnski ∙ тоҷикӣ ∙ ไทย ∙ Türkçe ∙ українська ∙ Tiếng Việt ∙ 中文 ∙ 中文（中国大陆） ∙ 中文（简体） ∙ 中文（繁體） ∙ +/−

Summary

Description Image generated by Stable Diffusion from the prompt "Ann Graham Lotz". This is an example of the model memorizing an image from its training data, namely File:Anne Graham Lotz (October 2008).jpg
Prompt
InfoField
"Ann Graham Lotz"
Date
Source https://arstechnica.com/tech-policy/2023/04/stable-diffusion-copyright-lawsuits-could-be-a-legal-earthquake-for-ai/
Author (2023-01-30). "Extracting Training Data from Diffusion Models". arXiv[cs.CR]. DOI:10.48550/arXiv.2301.13188. Using Stable Diffusion v1.4.
Other versions Original image: File:Anne Graham Lotz (October 2008).jpg

Licensing

AI-generated output

Public domain
This file is in the public domain because it is the work of a computer algorithm or artificial intelligence and does not contain sufficient human authorship to support a copyright claim.
The United Kingdom (legislation) and Hong Kong (legislation) provide a limited term of copyright protection for computer-generated works of 50 years from creation.
AI derivative works Legal disclaimer
Most image-generating AI models were trained using works that are protected by copyright. In some cases, such models can output content with major copyrightable image elements which are identical to or derivative of the original training data, making these outputs derivative works. Accordingly, there is a risk that AI-generated media uploaded on Commons may violate the rights of the authors of the original works. See Commons:AI-generated media for additional details.

العربية ∙ azərbaycanca ∙ Deutsch ∙ English ∙ español ∙ فارسی ∙ français ∙ galego ∙ हिन्दी ∙ Bahasa Indonesia ∙ 日本語 ∙ 한국어 ∙ မြန်မာဘာသာ ∙ português do Brasil ∙ русский ∙ slovenščina ∙ Türkçe ∙ Tiếng Việt ∙ 中文 ∙ 中文（简体） ∙ 中文（繁體） ∙ +/−

Original image

AnGeL Ministries, the copyright holder of this work, hereby publishes it under the following licenses:
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.
Attribution:
AnGeL Ministries
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
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.
You may select the license of your choice.

Captions

Add a one-line explanation of what this file represents

Items portrayed in this file

depicts

inception

January 2023

media type

image/webp

checksum

319250e0426999e61c91b0231705eff35902662c

determination method or standard: SHA-1

data size

53,044 byte

height

733 pixel

width

661 pixel

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current20:31, 3 April 2023Thumbnail for version as of 20:31, 3 April 2023661 × 733 (52 KB)wikimediacommons>Colin M{{Information |Description=Image generated by Stable Diffusion from the prompt "Ann Graham Lotz". This is an example of the model memorizing an image from its training data, namely File:Anne Graham Lotz (October 2008).jpg |Source=https://arstechnica.com/tech-policy/2023/04/stable-diffusion-copyright-lawsuits-could-be-a-legal-earthquake-for-ai/ |Date=January 2023 |Author=Stable Diffusion |Permission= |other_versions= }} == {{int:license-header}} == {{PD-algorithm}} [[Category:Women by S...

The following 2 pages use this file:

Metadata

This file contains additional information, probably added from the digital camera or scanner used to create or digitize it.

If the file has been modified from its original state, some details may not fully reflect the modified file.

Retrieved from "http://70.231.62.181/index.php/File:Ann_graham_lotz_stable_diffusion.webp"