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  2. Meta Unveils ‘Movie Gen,’ Tool That Creates 16-Second AI ...

    www.aol.com/entertainment/meta-unveils-movie-gen...

    The internet giant, the parent company of Facebook and Instagram, on Friday announced Movie Gen: a new AI tool that based on a text prompt can create realistic-looking videos clips (with ...

  3. Dream Machine (text-to-video model) - Wikipedia

    en.wikipedia.org/wiki/Dream_Machine_(text-to...

    Monster Camp, a movie trailer generated by Dream Machine, features the Monsters, Inc. character Mike Wazowski in the background of one scene.. Dream Machine is a text-to-video model created by the San Francisco-based generative artificial intelligence company Luma Labs, which had previously created Genie, a 3D model generator.

  4. Sora (text-to-video model) - Wikipedia

    en.wikipedia.org/wiki/Sora_(text-to-video_model)

    Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [7] OpenAI trained the model using publicly available videos as well as copyrighted videos licensed for the purpose, but did not reveal the number or the exact source of the videos. [5]

  5. Text-to-video model - Wikipedia

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

    A text-to-video model is a machine learning model that uses a natural language description as input to produce a video relevant to the input text. [1] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models .

  6. Vyond - Wikipedia

    en.wikipedia.org/wiki/Vyond

    On May 3, 2023, Vyond announced Vyond Go, an artificial intelligence-based feature in the video maker that generates videos based on user-provided prompts, similar to ChatGPT. [26] The first public beta was released on June 28, 2023, and is accessible to all users. However, it can only be used 3 times every 24 hours. [27]

  7. Text-to-image model - Wikipedia

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

    A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks.

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