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kling_video_o1

Generate Kling videos from text, image, and video inputs via SeaCloud CLI.

1|Updated Apr 11, 2026
Search Tags:#automation#multimodal#video-generation#seacloud-cli#kirin
One-click install
npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill kling-video-o1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: kling_video_o1
Source: https://github.com/SeaCloudAI/seacloud-cli/tree/main/skills/video/kling_video_o1
Command: npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill kling-video-o1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Kling video generation across text, image, video, and custom inputs using the Kirin model via SeaCloud CLI, enabling a single flexible workflow instead of multiple narrow paths.

Core Features & Use Cases

  • Broad multimodal Kling video creation with the kirin_video_o1 model from the SeaCloud CLI.
  • Deterministic execution by deriving seacloud run commands from the live model spec.
  • Use Case: When a project requires a cohesive Kling video built from prompts and assets.

Quick Start

Load the live kirin_video_o1 spec and run a Kling video task with seacloud run kirin_video_o1 using your inputs.

Frequently Asked Questions about kling_video_o1

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

FAQPage Schema
How do I generate Kling videos from text and image inputs via CLI?▼

Generate Kling videos from text, image, and video inputs by loading the live kirin_video_o1 spec and executing seacloud run commands with your assets. This Skill translates the JSON spec into deterministic CLI commands for multimodal video creation.

What is the best way to automate multimodal video generation for marketing visuals?▼

Automate multimodal video generation by using the SeaCloud CLI to run the kirin_video_o1 model for marketing visuals. It provides a single flexible workflow that translates the live JSON spec into deterministic run commands instead of relying on multiple narrow paths.

Can I perform a dry run before executing a Kling video generation command?▼

Yes, you can perform a safe dry-run workflow before executing your Kling video generation task. The Skill validates required fields and nested paths from the kirin_video_o1 JSON spec to ensure deterministic execution before committing to the final run command.

Does the SeaCloud CLI support validating nested paths for multimodal video workflows?▼

The SeaCloud CLI supports validating required fields and nested paths for multimodal video workflows. It derives the execution commands directly from the live kirin_video_o1 JSON spec to ensure your text, image, and video inputs are correctly structured.

Why use a single flexible workflow for Kling video generation instead of separate paths?▼

A single flexible workflow for Kling video generation prevents the fragmentation of managing multiple narrow paths. It unifies text, image, video, and custom inputs into one deterministic process using the kirin_video_o1 model via the SeaCloud CLI.

What are the limitations of using the kirin_video_o1 spec for video generation?▼

The kirin_video_o1 spec requires correct validation of required fields and nested paths before execution. Users must load the live JSON spec and use the SeaCloud CLI, meaning tasks fail if inputs are not properly structured or if the dry-run validation is skipped.

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