pixverse_v6_t2v

Generate cinematic videos from text prompts using PixVerse V6 via SeaCloud CLI.

1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill pixverse-v6-t2v
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pixverse_v6_t2v
Source: https://github.com/SeaCloudAI/seacloud-cli/tree/main/skills/video/pixverse_v6_t2v
Command: npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill pixverse-v6-t2v

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Pixverse text-to-video generation from natural language prompts without needing a source image, enabling cinematic motion, longer outputs, and native audio for SeaCloud-enabled workflows.

Core Features & Use Cases

  • Generate cinema-grade video from text prompts with PixVerse V6.
  • Use cases: marketing trailers, concept demos, storytelling videos with audio.
  • Use with SeaCloud CLI for integrated task pipelines and SkillHub discovery.

Quick Start

Provide a text prompt and execute seacloud run pixverse_v6_t2v with the required fields to generate a cinematic video.

Frequently Asked Questions about pixverse_v6_t2v

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

FAQPage Schema
How do I generate cinematic video from text prompts?

Generating cinematic video from text prompts requires providing a natural language description and executing the run command with mapped fields like prompt, aspect_ratio, duration, and quality to produce deterministic video outputs.

Can I create text-to-video content with native audio for marketing clips?

Yes, text-to-video generation supports native audio for marketing clips, concept demos, and storytelling videos, translating natural language prompts into cinema-grade outputs without needing a source image.

Does text-to-video generation work with SeaCloud CLI?

Text-to-video generation works directly with SeaCloud CLI, enabling integrated task pipelines and SkillHub discovery while enforcing compatibility with the live CLI spec for deterministic runs.

What is the best way to ensure deterministic runs for text-to-video generation?

The best way to ensure deterministic runs for text-to-video generation is strictly enforcing the mapping of fields like prompt, aspect_ratio, duration, and quality according to the live CLI spec.

Do I need a source image for prompt-based video generation?

No, a source image is not needed for prompt-based video generation; the process translates natural language text prompts directly into cinematic video outputs with motion and native audio.