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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 .
Sora is a text-to-video model developed by OpenAI. The model generates short video clips based on user prompts, and can also extend existing short videos. Sora was released publicly for ChatGPT Plus and ChatGPT Pro users in December 2024. [1] [2]
Dream Machine is a text-to-video model created by Luma Labs and launched in June 2024. It generates video output based on user 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 AOL.com video experience serves up the best video content from AOL and around the web, curating informative and entertaining snackable videos.
A short animation showing kinetic typography. Kinetic typography—the technical name for "moving text"—is an animation technique mixing motion and text to express ideas using video animation. This text is presented over time in a manner intended to convey or evoke a particular idea or emotion.
Creeping line, subtitles, text - add different captions (static and animated), shapes and images to video. [14] Speech balloons and other graphic objects - geometrical shapes to highlight an object in the video. [2] Zoom effect - magnify or reduce the view of the image. Rotate effect - rotate video image at different degrees, e.g. 90, 180, etc ...
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