Video Generation

To generate AI video from text prompts in a backend, you submit a generation request using z-ai-web-dev-sdk, poll the asynchronous task until completion, and then extract the resulting video URL.

Yes, you can create AI videos using image URLs for starting or ending frames. This image-to-video workflow supports optional audio, size, fps, and duration customizations alongside text prompts.

Asynchronous task polling for AI video generation works by submitting a request, continuously checking the task status until it completes, and robustly extracting the final video URL from multiple possible response fields.

Yes, you need to install and configure z-ai-web-dev-sdk to manage asynchronous video generation tasks. It provides the necessary backend integration to submit requests, poll task progress, and retrieve video outputs.

The best use cases for automated AI video generation include creating marketing clips, educational demos, social media videos, product demonstrations, and rapid prototyping without writing complex boilerplate code.

Asynchronous AI video generation might fail to return a video URL if the task polling is incomplete or the response fields are malformed. Robust extraction logic is required to handle multiple response formats and ensure successful retrieval.