By exploring the latent space, users can discover more potentials and effects of stabilizing diffusion videos.
4.2 Optimize frame rate settings
According to specific needs, reasonably select a customized frame rate to achieve the best video generation effect.
4.3 Obtaining Technical Support
If you encounter any problems or need further guidance during use, you can seek technical support from Stability AI.
Introduction to Stable Video Diffusion Model
Stable Video Diffusion is an image-to-video model developed south korea mobile database by Stability AI that can convert any still image into a short video with a customizable frame rate.
Model Principle
Stable Video Diffusion is based on the stable diffusion technique and achieves the ability to generate high-quality videos by exploring the latent space and morphing between text cues.
Model Features
Can generate 14 or 25 fps video
Customizable frame rate, ranging from 3 to 30 frames per second
Suitable for various video applications, such as multi-view synthesis of a single image, etc.
Open source video generation model Stable Video Diffusion
Stability AI recently released an open-source video generation model, Stable Video Diffusion. The model is based on the company's existing Stable Diffusion text-to-image model and can convert existing images into short videos by animating them.