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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 .
Video from image: The user provides an image file, which the software uses as the starting point to generate an animated video. Example of software: Pika Labs, LeiaPix, Meta AI Animated Drawings, Motion imitation: The user provides an existing video showing the motion of a person and selects or creates a character. The software makes the ...
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.
Prisma Labs was founded in 2016 by Andrey Usoltsev, Alexey Moiseenkov, and a team of Russian developers. [2] [3] Usoltsev is also the CEO. [3]In 2016, the company launched the Prisma app, which uses artificial intelligence to duplicate photos in various artistic styles.
Gen-2 is a multimodal AI system that can generate novel videos with text, images or video clips. The model is a continuation of Gen-1 and includes a modality to generate video conditioned to text. Gen-2 is one of the first commercially available text-to-video models. [27] [28] [29] [30]
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]