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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 .
On February 15, 2024, OpenAI first previewed Sora by releasing multiple clips of high-definition videos that it created, including an SUV driving down a mountain road, an animation of a "short fluffy monster" next to a candle, two people walking through Tokyo in the snow, and fake historical footage of the California gold rush, and stated that ...
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.
Users on the platform criticized the video as stealing the aesthetic of the Monsters, Inc. franchise, also pointing out that Mike Wazowski, a character from the franchise, appears in the trailer. [6] Another video posted by director Ellenor Argyropoulos of a Pixar-style animation of a girl in ancient Egypt created with Dream Machine went viral ...
A video generated using OpenAI's unreleased, open source Sora text-to-video model, using the prompt: A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. She wears a black leather jacket, a long red dress, and black boots, and carries a black purse.
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.
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