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Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [7] OpenAI trained the model using publicly available videos as well as copyrighted videos licensed for the purpose, but did not reveal the number or the exact source of the videos. [5]
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 .
Flux (also known as FLUX.1) is a text-to-image model developed by Black Forest Labs, based in Freiburg im Breisgau, Germany. Black Forest Labs were founded by former employees of Stability AI. As with other text-to-image models, Flux generates images from natural language descriptions, called prompts.
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.
Pornographic, AI-generated images of the world’s most famous star spread across social media this week, underscoring the damaging potential posed by mainstream artificial intelligence technology ...
Such images can be generated with AI tools that develop entirely new, fake images, or they can be created by taking a real image and “undressing” it with AI tools. The origin of the images isn ...