Video Generation

To generate video from text or images, this Skill uses the z-ai-web-dev-sdk to process inputs and create video outputs. It supports text-to-video and image-to-video generation by submitting prompts and retrieving results asynchronously.

Asynchronous task management for AI video generation works by creating a generation task and polling its status until completion. This mechanism retrieves the final video result without blocking the main execution thread during processing.

You can customize video parameters like resolution, frame rate, duration, and quality when generating AI videos. These options are supported directly through the request payload sent to the z-ai-web-dev-sdk.

AI video generation does work with multi-image sequences. The Skill supports creating videos from both single images and multiple image inputs, allowing for dynamic sequence generation through the z-ai-web-dev-sdk.

Before using text-to-video generation, you need the z-ai-web-dev-sdk installed in your environment. This dependency is required to process video generation requests and handle the asynchronous task polling.

Asynchronous polling is used for video generation because rendering takes time and would block synchronous requests. By creating a task and polling its status, you retrieve the final video result efficiently once processing finishes.