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Video Generation

Create video generation tasks from text or image inputs via the z-ai-web-dev-sdk.

Updated Aug 27, 2026
Search Tags:#SDK#AI#video#asynchronous#polling#generate
One-click install
npx skills add https://github.com/tajo9128/BioDockify-pharma-research-ai --skill video-generation-tajo9128
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Video Generation
Source: https://github.com/tajo9128/BioDockify-pharma-research-ai/tree/main/ui/src/skills/video-generation
Command: npx skills add https://github.com/tajo9128/BioDockify-pharma-research-ai --skill video-generation-tajo9128

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires z-ai-web-dev-sdk, and includes scripts (resource) components.

What problem does it solve?

This Skill enables developers to automate AI-powered video generation from text prompts or images using the z-ai-web-dev-sdk, eliminating manual video production work and enabling on-demand media content creation.

Core Features & Use Cases

  • Asynchronous Task Management: Create video generation tasks and poll for results.
  • Input Flexibility: Generate from text prompts or image_url inputs (base64 data or URLs).
  • Configurable Output: Control quality, size, frame rate, and duration for production-ready videos.
  • Use Case Example: A marketing app that generates product demo videos from short prompts in response to user actions.

Quick Start

To start generating a video, create a task with a prompt or image input, then poll for the result and fetch the video URL when ready.

Frequently Asked Questions about Video Generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate AI video from text prompts or images asynchronously?▼

To generate AI video asynchronously, create a task using text prompts or image URLs via the SDK, poll the task status, and fetch the video URL when ready. This model handles on-demand media generation without blocking your application.

How does asynchronous polling work for AI video generation tasks?▼

Asynchronous polling works by initiating a video generation task, querying its status periodically, and retrieving the final video URL upon completion. This ensures robust task management for long-running AI video generation processes.

Can I use an image URL to create a video with the z-ai-web-dev-sdk?▼

Yes, you can use an image URL or base64 data to create a video with the z-ai-web-dev-sdk. It supports image-to-video workflows, transforming static images into dynamic video content through asynchronous task management.

What output parameters can I configure for AI video generation?▼

You can configure output parameters including quality, size, frame rate (fps), and duration for AI video generation. These options ensure the generated video meets specific production-ready requirements.

Is the z-ai-web-dev-sdk suitable for back-end video generation services?▼

Yes, the z-ai-web-dev-sdk is suitable for back-end video generation services. It automates on-demand media content creation with robust asynchronous task management, ideal for applications needing automated video production.

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