Sora Official Website Experience Portal - OpenAI's Latest Text-to-Video Model Online Access
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Sora is a large-scale trained text-controlled video generation diffusion model. It can generate high-definition videos up to 1 minute long, covering a wide range of visual data types and resolutions. Sora achieves scalable video generation by training in the compressed latent space of videos and images, decomposing them into spatiotemporal patches. Sora also demonstrates certain capabilities in simulating the physical and digital worlds, such as 3D consistency and interaction, revealing the potential of scaling up video generation models to develop high-capacity simulators.
Sora can generate high-quality videos through text prompts, supporting variable resolutions, durations, and aspect ratios, while also enabling continuation generation based on images and videos, showcasing a certain level of simulation of physical and digital world behaviors. Overall, Sora is a powerful video-generation AI tool worth experiencing. Sora is the ideal solution for users who need to generate and edit video content, such as video creators, game developers, and designers. With Sora, they can bypass the tedious manual recording and rendering processes, quickly generating high-quality video content through simple text input. Additionally, Sora's output can serve as a visual simulator to provide assistance.
Sora has a wide range of application scenarios: Video generation AI tools like Sora leverage diffusion models to generate content from compressed video latent spaces. Specifically, the model first learns how to compress and decompress real video samples, then applies this knowledge to gradually "denoise" random noise images into semantically meaningful video content. Simultaneously, the model must learn from vast datasets how to map textual descriptions to visual elements. The core of diffusion models lies in generating and encoding video information, while conditional text guides the content and style of the output.