viduq3_turbo_start_end2video

Generate Vidu videos from start-end frames via the SeaCloud CLI.

1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill viduq3-turbo-start-end2video
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: viduq3_turbo_start_end2video
Source: https://github.com/SeaCloudAI/seacloud-cli/tree/main/skills/video/viduq3_turbo_start_end2video
Command: npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill viduq3-turbo-start-end2video

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quickly generate Vidu videos by mapping start and end frames through the turbo model via SeaCloud CLI, reducing turnaround for transition-heavy sequences.

Core Features & Use Cases

  • Turbo start-end to video: Generate videos from start and end frames using the turbo Vidu model.
  • CLI-driven integration: Build seacloud run commands from the live JSON spec and ensure compatibility with images and prompts.
  • Use Case: When speed matters more than ultimate fidelity, such as rapid prototyping of transition sequences.

Quick Start

Invoke seacloud run viduq3_turbo_start_end2video with an image and a prompt to generate a video.

Frequently Asked Questions about viduq3_turbo_start_end2video

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

FAQPage Schema
How do I generate a video from start and end frames using an AI model?

You generate a video from start and end frames by invoking the SeaCloud CLI with the turbo Vidu model, supplying your starting and ending images alongside a text prompt to create rapid-transition video sequences.

What is the difference between turbo and pro workflows for AI video generation?

The turbo workflow offers faster turnaround for rapid prototyping of transition sequences, whereas Pro workflows prioritize ultimate fidelity, making turbo ideal when video generation speed matters more than maximum quality.

How do I run the seacloud CLI command to generate a Vidu video?

You run the seacloud command by invoking the turbo start-end to video task with the live JSON spec to build accurate run commands, passing required image inputs and text prompts to execute the generation process.

Do I need image inputs to generate a transition video with the turbo model?

Yes, image inputs are a core prerequisite for generating transition videos, as the 'images' field is strictly enforced to map the start and end frames required by the turbo model.

When should I use a turbo start-end video workflow instead of standard generation?

Use the turbo start-end video workflow for rapid prototyping of transition-heavy sequences when speed matters more than ultimate fidelity, allowing you to quickly map start and end frames into dynamic video content.