viduq1_text2video

Generate videos from text prompts via SeaCloud CLI with dry-run validation.

1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill viduq1-text2video
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: viduq1_text2video
Source: https://github.com/SeaCloudAI/seacloud-cli/tree/main/skills/video/viduq1_text2video
Command: npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill viduq1-text2video

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables rapid, cost-conscious creation of videos from text prompts using the viduq1_text2video model via the SeaCloud CLI. It helps teams test concepts and iterate quickly without sourcing images or investing in high-fidelity assets.

Core Features & Use Cases

  • Prompt-driven video generation: produce videos directly from textual prompts, with configurable duration and style.
  • No-source-image workflow: ideal for rapid prototyping when an image input is not available or necessary.
  • CLI-driven validation: aligns with live model specs, uses dry-run to validate payloads, and builds commands from the current specification.
  • Use Case: a product teaser idea can be quickly modeled to test concept viability before committing production resources.

Quick Start

Describe your video concept in natural language and run seacloud run viduq1_text2video with the live model spec to generate a draft.

Frequently Asked Questions about viduq1_text2video

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

FAQPage Schema
How do I generate video from text prompts for rapid prototyping?

To generate video from text prompts for rapid prototyping, describe your concept in natural language and execute the viduq1_text2video model via the SeaCloud CLI to produce a draft video without needing a source image.

Can I create a text-to-video draft without providing a source image?

Yes, you can create a text-to-video draft without a source image because the viduq1_text2video workflow is explicitly designed for prompt-only video generation where visual input is not required or available.

How does CLI validation work for prompt-based video generation?

CLI validation for prompt-based video generation works by translating the live JSON model spec into precise seacloud run commands, enforcing required fields like prompt, and validating payloads with a dry-run before actual execution.

Is SeaCloud CLI suitable for cost-conscious text-to-video generation?

SeaCloud CLI is suitable for cost-conscious text-to-video generation because the viduq1_text2video model prioritizes speed and budget efficiency over premium fidelity, making it ideal for testing concept viability before committing production resources.

When should I not use prompt-driven video generation for product teasers?

You should not use prompt-driven video generation for product teasers when you require premium fidelity or high-resolution assets, as this approach prioritizes rapid prototyping and budget efficiency over high-end visual output.