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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. OpenAI releases text-to-video AI model Sora to certain ... - AOL

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

   OpenAI released its text-to-video artificial intelligence model, Sora, this week after the completion of its testing phase. The Microsoft-backed AI startup first teased the model in February and ...

4. 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.

5. OpenAI releases text-to-video model Sora for ChatGPT ... - AOL

   www.aol.com/news/openai-releases-text-video...

   The Microsoft-backed company, which kicked off a generative AI craze with the launch of its ChatGPT chatbot in November 2022, aims to target similar text-to-video tools from Meta and Alphabet's ...

6. OpenAI launches AI video generator Sora to the public - AOL

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

   OpenAI publicly launched the AI video generator Sora, offering new creative tools. Sora can create up to 20-second videos from text and modify existing videos by filling frames. It's rolling out ...

7. Runway (company) - Wikipedia

   en.wikipedia.org/wiki/Runway_(company)

   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. [31] [32] [33] [34]