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  2. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    DALL-E was revealed by OpenAI in a blog post on 5 January 2021, and uses a version of GPT-3 [5] modified to generate images.. On 6 April 2022, OpenAI announced DALL-E 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles". [6]

  3. Turtle graphics - Wikipedia

    en.wikipedia.org/wiki/Turtle_graphics

    Turtle graphics are often associated with the Logo programming language. [2] Seymour Papert added support for turtle graphics to Logo in the late 1960s to support his version of the turtle robot, a simple robot controlled from the user's workstation that is designed to carry out the drawing functions assigned to it using a small retractable pen set into or attached to the robot's body.

  4. Wikipedia : Upload/Replace this image

    en.wikipedia.org/wiki/Wikipedia:Upload/Replace...

    do not use this form for images found somewhere on the internet or created by someone else. If you are prepared to do this, and are logged in to your Wikipedia account, click here Before you can upload images you will need to register an account .

  5. Wikipedia:Uploading images - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Uploading_images

    To make your uploaded file appear in an article, you need to insert it: edit the article and add the syntax [[File:Image name|thumb|Caption]] where you want the file to appear. Important: Image names are case-sensitive. For example, if an image is called Picture.jpg then neither picture.jpg nor Picture.JPG will find it.

  6. AOL

    search.aol.com

    The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web.

  7. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    In 2016, Reed, Akata, Yan et al. became the first to use generative adversarial networks for the text-to-image task. [5] [7] With models trained on narrow, domain-specific datasets, they were able to generate "visually plausible" images of birds and flowers from text captions like "an all black bird with a distinct thick, rounded bill".

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