Specific explanation: Stable Video Diffusion is an advanced video synthesis technology that realizes the transformation from static images to dynamic videos through a potential diffusion model. The model can generate high-resolution videos of 14 or 25 frames and supports functions such as multi-view generation and frame interpolation.
Example: For example, if you have a still landscape photo, you can use Stable Video Diffusion to convert it into a continuous, flowing video, making the clouds, scenery and other elements in the picture move.
Other relevant information: Stable Video Diffusion is an open source project of Stability AI, and the model code and weights can be obtained on its GitHub page. Currently, the model is suitable for research and non-commercial use, and Stability AI is developing a web platform to provide a text-to-video conversion interface for Stable Video Diffusion to demonstrate its practical applications in multiple fields such as advertising, education, and entertainment.
The Second Phase of Generative AI
Scientists, historians, and economists have long dominican republic mobile database studied the optimal conditions for a “Cambrian Explosion” of innovation. In the field of generative AI, we are already witnessing a modern miracle: our generation’s space race.
This moment has been decades in the making. Sixty years of Moore’s Law gave us the computational horsepower to process exaflops of data. Four decades of the internet, accelerated by COVID, provided trillions of tokens worth of training data. Two decades of mobile and cloud computing put a supercomputer in the palm of everyone’s hand. In other words, decades of technological progress have accumulated to create the necessary conditions for generative AI to take off .