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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.
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 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]
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.