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Many pedestrians walk about. A text-to-video model is a machine learning model that takes a natural language description as input and produces a video relevant to the input text. [1] Recent advancements in generating 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 the San Francisco-based generative artificial intelligence company Luma Labs, which had previously created Genie, a 3D model generator. It was released to the public on June 12, 2024, which was announced by the company in a post on X alongside examples of videos it created. [1]
v. t. e. Sora is an upcoming generative artificial intelligence model developed by OpenAI, that specializes in text-to-video generation. The model generates short video clips corresponding to prompts from users. Sora can also extend existing short videos. As of August 2024 it is unreleased and not yet available to the public.
Video generated by Sora with prompt Borneo wildlife on the Kinabatangan River. Generative AI trained on annotated video can generate temporally-coherent, detailed and photorealistic video clips. Examples include Sora by OpenAI, [10] Gen-1 and Gen-2 by Runway, [52] and Make-A-Video by Meta Platforms. [53]
five of the hundreds of platforms using this this technology to generate text in some form. Source Text – LLM are based on open-source text from compiled into a database. The most commonly used database is from Eleuther and is referred to as ‘the Pile’. It is half a trillion words and is 800 GB in size (Gao, et al., 2020).
Sora is a text-to-video model that can generate videos based on short descriptive prompts [216] as well as extend existing videos forwards or backwards in time. [217] It can generate videos with resolution up to 1920x1080 or 1080x1920. The maximal length of generated videos is unknown.
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