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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 .
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]
In its first year, Canva had more than 750,000 users. [12] In April 2014, Guy Kawasaki joined the company as its chief evangelist. [13] In 2015, Canva for Work was launched, focusing on marketing materials. [14] During the 2016–17 financial year, Canva's revenue increased from A$6.8 million to A$23.5 million, with a loss of A$3.3 million. In ...
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]
An example of prompt usage for text-to-image generation, using Fooocus. Prompts for some text-to-image models can also include images and keywords and configurable parameters, such as artistic style, which is often used via keyphrases like "in the style of [name of an artist]" in the prompt [94] and/or selection of a broad aesthetic/art style.
Video editing is the post-production and arrangement of video shots. ... Canva, and Filmora are a ... Text is available under the Creative Commons Attribution ...
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