kling_v2_5_turbo_t2v

Generate Kling text-to-video assets from simple prompts via SeaCloud CLI.

1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill kling-v2-5-turbo-t2v
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: kling_v2_5_turbo_t2v
Source: https://github.com/SeaCloudAI/seacloud-cli/tree/main/skills/video/kling_v2_5_turbo_t2v
Command: npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill kling-v2-5-turbo-t2v

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quickly generate Kling-based video content from simple text prompts, enabling rapid experimentation without sourcing a subject or storyboard.

Core Features & Use Cases

  • Rapid Kling text-to-video generation for fast iteration and concept exploration.
  • Suitable for quick prompt-only experiments, character-led effects, and motion-focused visuals.
  • Supports speed over maximum polish when iterating ideas or prototyping visuals.

Quick Start

Provide a concise Kling text prompt and run seacloud run kirin_v2_5_turbo_t2v to generate a video.

Frequently Asked Questions about kling_v2_5_turbo_t2v

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

FAQPage Schema
How do I generate AI video from text prompts using the Kling model?▼

To generate AI video from text prompts using the Kling model, provide a concise text prompt and run the command via the SeaCloud CLI. This allows rapid text-to-video generation for motion-centric visuals and character-driven clips without source images.

What is text-to-video rapid prototyping and when do I need it?▼

Text-to-video rapid prototyping is the process of quickly generating visual concepts from text prompts without sourcing subjects or storyboards. You need it for fast iteration, character-led effects, and motion-focused visual experiments.

Can I use the Kling v2.5 turbo model for video generation without source images?▼

Yes, you can use the Kling v2.5 turbo model for video generation without source images. It is specifically designed for prompt-only experiments, allowing you to create character-driven clips and motion-focused visuals directly from text.

What is the best way to quickly iterate on AI video concepts?▼

The best way to quickly iterate on AI video concepts is using a turbo text-to-video model like Kling v2.5. It prioritizes generation speed over maximum polish, enabling rapid experimentation and fast prototyping of motion-centric visuals via CLI.

What are the limitations of using a turbo model for text-to-video generation?▼

The limitation of using a turbo model for text-to-video generation is that it supports speed over maximum polish. It is optimized for rapid prototyping and concept exploration rather than producing final, high-fidelity video assets.