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2. Text-to-video model - Wikipedia

   en.wikipedia.org/wiki/Text-to-video_model

   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 .

3. Sora (text-to-video model) - Wikipedia

   en.wikipedia.org/wiki/Sora_(text-to-video_model)

   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]

4. OpenAI releases AI video generator Sora to all customers - AOL

   www.aol.com/openai-releases-ai-video-generator...

   "We don't want the world to just be text. If the AI systems primarily interact with text, I think we're missing something important," OpenAI CEO Sam Altman said in a live-streamed announcement Monday.

5. Dream Machine (text-to-video model) - Wikipedia

   en.wikipedia.org/wiki/Dream_Machine_(text-to...

   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]

6. AOL Video - Serving the best video content from AOL and ...

   www.aol.com/video

   The AOL.com video experience serves up the best video content from AOL and around the web, curating informative and entertaining snackable videos.

7. Computer animation - Wikipedia

   en.wikipedia.org/wiki/Computer_animation

   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]