Video Generation

To generate video from text prompts in a backend application, you can use this Skill to create asynchronous video generation tasks via the z-ai-web-dev-sdk, poll for status updates, and retrieve the final video URL.

Yes, you can use image URLs or base64 data to drive AI video generation, as the Skill supports input flexibility alongside standard text prompts to create asynchronous video tasks.

Asynchronous polling for AI video tasks works by submitting a generation request to the backend, continuously checking the task status via polling, and retrieving the result once the z-ai-web-dev-sdk processing completes.

Yes, the z-ai-web-dev-sdk supports automated marketing clip generation by converting campaign briefs or text descriptions into videos asynchronously, reducing manual production time in backend environments.

The best way to handle long-running video generation tasks in production is to use asynchronous task creation and status polling, allowing your backend to retrieve the final video URL without blocking operations.

A limitation of asynchronous polling for video generation is that backend environments must actively manage status checks and task retrieval, which requires handling pending states and potential polling timeouts before the video URL is available.