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  2. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    DALL-E, DALL-E 2, and DALL-E 3 (stylised DALL·E, and pronounced DOLL-E) are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as prompts. The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released.

  3. How to Use DALL-E to Make One-of-a-Kind AI Images - AOL

    www.aol.com/dall-e-one-kind-ai-115700345.html

    Dall-E is an AI image generator from OpenAI, the same company behind ChatGPT. It turns text prompts into graphics. Many professionals find Dall-E to be a useful aid for work and inspiration.

  4. ChatGPT isn't the only cool AI tool made by OpenAI — check ...

    www.aol.com/chatgpt-isnt-only-cool-ai-181415871.html

    DALL-E . Just months before ChatGPT launched, OpenAI removed the waitlist for its generative AI art generator, DALL-E.It quickly grew to over 1.5 million daily users by September 2022, the company ...

  5. Text-to-image model - Wikipedia

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

    One of the first text-to-image models to capture widespread public attention was OpenAI's DALL-E, a transformer system announced in January 2021. [10] A successor capable of generating more complex and realistic images, DALL-E 2, was unveiled in April 2022, [11] followed by Stable Diffusion that was publicly released in August 2022. [12]

  6. Here’s how OpenAI’s magical DALL-E image generator works

    www.aol.com/openai-magical-dall-e-image...

    This month, it's OpenAI's new image-generating model, DALL·E. This behemoth 12-billion-parameter neural network takes a text caption (i.e. “an armchair in the shape of an avocado”) and ...

  7. Artificial intelligence art - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_art

    To mitigate some deceptions, OpenAI developed a tool in 2024 to detect images that were generated by DALL-E 3. [129] In testing, this tool accurately identified DALL-E 3-generated images approximately 98% of the time. The tool is also fairly capable of recognizing images that have been visually modified by users post-generation. [130]

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