OpenAI recently released its highly anticipated video generation model Sora Turbo, marking a major breakthrough in the field of generative AI in 2024. Sora Turbo has significantly improved the efficiency and duration of video generation. It can generate 1080P high-definition videos of up to 20 seconds based on text, pictures or video prompts, and supports a variety of functions, such as super-score, super-frame and HDR game lineup. Full game support, etc., greatly improves the user experience. Its powerful functions and convenient use make it one of the video models with the highest generation time in the world.
OpenAI released the highly anticipated product-Sora Turbo in today's live broadcast, marking a major breakthrough in the field of generative AI in 2024. The generation efficiency of Sora Turbo has been significantly improved, and it can directly generate 1080P videos of up to 20 seconds from text, making it one of the video models with the longest generation time in the world. This model supports the input of text plus pictures or videos to generate specific video content, making the generation effect more controllable.
Sora Turbo’s technical highlights include full game support for super-score, super-frame and HDR game lineups, as well as two self-developed function upgrades based on independent graphics. Among them, the touch dynamic frame insertion function can significantly improve the accuracy of frame insertion and reduce picture damage; the game dark night mode uses AI algorithms to improve dark details and enhance the visual effects of dark areas, while solving the brightness problem of playing games in dark light environments. .
Currently, Sora has entered the unlimited use stage. For ChatGPT Plus and Pro members, there is no additional cost to use Sora. This policy is considered very conscientious. OpenAI has also developed a new UI and provides community sharing services, allowing users to share their own generated videos or learn from other people's prompt effects to improve their works.
Sora's technical principles include the application of patches, which allow intensive training on large amounts of image and video data, and the application of video compression networks, which reduce the dimensionality of visual data and improve output quality.
Sora also integrates the diffusion model and Transformer architecture, using an innovative diffusion transformer method to replace the traditional U-Net architecture, effectively improving the ability to capture the distribution relationship between input images and text labels. In addition, Sora introduced DALL・E3’s re-subtitle technology to create text subtitles for all videos in the training set by training a highly descriptive subtitle model, improving the fidelity of the text and the overall quality of the video.
Experience address: https://sora.com/
The emergence of Sora Turbo not only improves the efficiency and quality of AI video generation, but also provides users with more convenient and powerful creative tools. OpenAI's open policy and community sharing function further promote the popularization and development of AI technology. I believe Sora Turbo will play a greater role in the field of AI video generation in the future and bring more surprises to users.