File:CRAIYON-Teddy bears working on new AI research underwater with 1990s technology.jpg
CRAIYON-Teddy_bears_working_on_new_AI_research_underwater_with_1990s_technology.jpg (256 × 256 pixels, file size: 16 KB, MIME type: image/jpeg)
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![]() This media file has been nominated for deletion since 29 June 2024. To discuss it, please visit the nomination page.
Do not remove this tag until the deletion nomination is closed. Reason for the nomination: The whole idea of an "AI generated toy" is nonsensical to begin with, but we don't host noneducational amateur artwork anyway. So these images should be deleted as OOS.
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Summary
[edit]DescriptionCRAIYON-Teddy bears working on new AI research underwater with 1990s technology.jpg | Output of Craiyon (formerly "DALL-E Mini"). See the model card for information on the model used. Specifically (from the title card): "Images are encoded through a VQGAN encoder, which turns images into a sequence of tokens. Descriptions are encoded through a BART encoder. The output of the BART encoder and encoded images are fed through the BART decoder, which is an auto-regressive model whose goal is to predict the next token. Loss is the softmax cross-entropy between the model prediction logits and the actual image encodings from the VQGAN." Upscaled using Real-ESRGAN. Compare to DALL-E 2 equivalent. |
Source | craiyon.com |
Author | Craiyon |
Permission (Reusing this file) |
Public domain |
Licensing
[edit]Public domainPublic domainfalsefalse |
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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 and Hong Kong provide a limited term of copyright protection for computer-generated works of 50 years from creation. [1] [2]
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Legal disclaimer Most image-generating AI models were trained using works that are protected by copyright. In some cases, such assets and models can produce images that contain major copyrightable elements of those copyrighted training images, making these outputs derivative works. Accordingly, there is a risk that AI-generated art uploaded on Commons may violate the rights of the authors of the original works. See Commons:AI-generated media for additional details. azərbaycanca ∙ Deutsch ∙ English ∙ español ∙ français ∙ galego ∙ हिन्दी ∙ 日本語 ∙ português do Brasil ∙ русский ∙ slovenščina ∙ Türkçe ∙ Tiếng Việt ∙ 中文 ∙ 中文(简体) ∙ 中文(繁體) ∙ +/− |
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current | 15:53, 27 July 2022 | ![]() | 256 × 256 (16 KB) | JPxG (talk | contribs) | == {{int:filedesc}} == {{Information |Description=Output of Craiyon (formerly "DALL-E Mini"). See [https://huggingface.co/dalle-mini/dalle-mini the model card] for information on the model used. Specifically (from the title card): "Images are encoded through a VQGAN encoder, which turns images into a sequence of tokens. Descriptions are encoded through a BART encoder. The output of the BART encoder and encoded images are fed through the BART decoder, which is an auto-regressive model whose go... |
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