Submit text-to-video or image-to-video tasks and return final video URLs.
npx skills add https://github.com/chancoute/sgin --skill video-generation-chancoute
Please help me install this Agent Skill. Skill: Video Generation Source: https://github.com/chancoute/sgin/tree/main/skills/video-generation Command: npx skills add https://github.com/chancoute/sgin --skill video-generation-chancoute
This Skill enables developers to generate AI-driven videos from text prompts or input images, automating content creation and reducing manual video production time.
Use the skill to create and poll a video generation task from a prompt like 'A cat playing with a ball' and fetch the resulting video URL.
High-intent search queries and answers about installing and using this skill.
To generate video from text or images asynchronously, you submit a text-to-video or image-to-video task and use polling to retrieve the final video URL. This workflow supports custom resolution, frame rate, and audio options.
Polling for AI video generation works by repeatedly checking the task status after submission until the asynchronous processing completes, allowing you to retrieve the final video URL without blocking your application's execution.
Yes, you can customize resolution, frame rate, and duration for text-to-video tasks by passing specific parameters like size, fps, and duration, alongside optional audio settings, to control the final media output.
Yes, you need the z-ai-web-dev-sdk library to run image-to-video generation tasks. This dependency provides the necessary asynchronous task submission and polling controls required for real-world media production.
The difference between text-to-video and image-to-video generation is the input source: text-to-video creates media from descriptive prompts, while image-to-video animates static visuals using input image URLs or sequences.
Yes, you can add audio to AI generated videos by using the with_audio parameter during task submission, allowing you to produce complete multimedia content directly through the asynchronous polling workflow.
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