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Many pedestrians walk about. A text-to-video model is a machine learning model that takes a natural language description as input and produces a video relevant to the input text. [1] Recent advancements in generating high-quality, text-conditioned videos have largely been driven by the development of video diffusion models.
Dream Machine is a text-to-video model created by Luma Labs and launched on June 12, 2024. It bases its video output on user-inputted prompts or still images. Dream Machine has been noted for its ability to realistically capture motion, while some critics have remarked upon the lack of transparency about its training data.
The following is a list of video editing software. The criterion for inclusion in this list is the ability to perform non-linear video editing. Most modern transcoding software supports transcoding a portion of a video clip, which would count as cropping and trimming. However, items in this article have one of the following conditions:
Vyond provides its users with a library containing tens of thousands of pre-animated assets, which can be controlled through a drag & drop interface. Asset types include characters, actions, templates, props, text boxes, music tracks, and sound effects. Users can also upload their own assets, such as audio files, image files, or video files.
e. Sora is an upcoming generative artificial intelligence model developed by OpenAI, that specializes in text-to-video generation. The model generates short video clips corresponding to prompts from users. Sora can also extend existing short videos. As of August 2024 it is unreleased and not yet available to the public.
video in the classroom and utilizing other technology devices. It underlines the pivotal role of both teachers and the video used in the success of the learning process as knowledge transfer activities. Teachers’ competence in implementing the video determines the attainment of the learning goals.
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