viduq2_turbo_start_end2video

Generate start-to-end video sequences with Vidu Q2 Turbo via SeaCloud CLI.

1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill viduq2-turbo-start-end2video
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: viduq2_turbo_start_end2video
Source: https://github.com/SeaCloudAI/seacloud-cli/tree/main/skills/video/viduq2_turbo_start_end2video
Command: npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill viduq2-turbo-start-end2video

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Rapidly generate start-to-end video sequences using the Vidu Q2 Turbo model, enabling fast iteration over transitions and bridge shots when speed matters more than polish.

Core Features & Use Cases

  • Fast start-to-end transitions: generate quick sequences that move from a defined start frame to an end frame.
  • CLI-driven provisioning: drive generation via the SeaCloud CLI using live model specs for deterministic results.
  • Use Case: ideal for rapid prototyping of video narratives, ad creatives, and test renders where speed is the priority.

Quick Start

Provide your start and end frame inputs and a prompt, then run seacloud run viduq2_turbo_start_end2video to generate the video.

Frequently Asked Questions about viduq2_turbo_start_end2video

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

FAQPage Schema
How do I generate start-to-end video transitions quickly for rapid prototyping?

Generate start-to-end video transitions by providing defined start and end frame inputs along with a prompt, then run the SeaCloud CLI command to create the video sequences using the Vidu Q2 Turbo model.

Can I use the SeaCloud CLI to automate video generation from start and end frames?

Yes, you can automate video generation via the SeaCloud CLI by passing live JSON model specs and strict parameter mapping to ensure deterministic video runs and accurate field handling.

Does start-end video generation require specific JSON specs to run deterministically?

Start-end video generation requires live JSON specs from SeaCloud models and strict CLI parameter mapping to ensure deterministic runs and accurate field handling during video sequence creation.

What is the best way to bridge two frames for short-form content when speed matters?

The best way to bridge frames quickly is using the Vidu Q2 Turbo model, which is designed for rapid video prototyping and iterative creative exploration when speed matters more than final polish.

Why use Vidu Q2 Turbo for iterative creative exploration over other video generation models?

Use Vidu Q2 Turbo for iterative creative exploration because it prioritizes rapid generation speed for quick bridge shots and test renders, whereas other models might focus on higher polish rather than fast iteration.

When should I not use rapid start-to-end video generation for my ad creatives?

Avoid using rapid start-to-end video generation when final render polish is the priority, as the Vidu Q2 Turbo model is optimized for speed and quick prototyping rather than high-fidelity output.