Workflow Optimization for Intelligent Video Generation
The model realizes an intelligent mapping system from audio length to video duration, using a sliding window algorithm to dynamically adjust the generation tempo. By default, the system takes 2 seconds as the basic processing unit, and analyzes the spectral characteristics of speech to automatically determine the scene transition points (e.g., pause or change of mood), and intelligently inserts visual transition effects. Users can finely control the generation tempo through the num_clip parameter, for example, setting it to 10 will enable the system to evenly split the audio into 10 segments for rendering. In terms of efficiency, with the configuration of 8 A100 graphics cards, the average time to generate 1 minute of 720P video is only 18 minutes, which is 3 times faster than the previous generation of products. This high efficiency enables the mass production of 80-100 short videos in a single day, providing a scaled solution for content creation platforms.
This answer comes from the articleWan2.2-S2V-14B: Video Generation Model for Speech-Driven Character Mouth SynchronizationThe
