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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 .
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.
Text-to-video generation, such as text-to-video generators, generated videos etc. Pages in category "Text-to-video generation" The following 11 pages are in this category, out of 11 total.
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.
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.
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. [20] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models. [21]
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