pixverse-ai-image-and-video-generator
0PixVerse CLI is a command-line interface for generating images and videos through an AI-powered platform. It is designed for AI agents, developers, and automation purposes, offering structured JSON output and scriptable commands.
000Updated 3w ago
Image and Video Generation
Quick InstallView Source
$ npx skills add https://github.com/pixverseai/skills --skill pixverse-ai-image-and-video-generatorOverview
About This Skill
PixVerse CLI is a command-line interface that brings all PixVerse.ai video and image generation capabilities to AI agents, developers, and automation workflows. It supports multiple generative models including PixVerse V6, Sora 2, Veo 3.1, Kling O3, and others, with customizable parameters for resolution, duration, aspect ratio, and quality. The skill library provides structured workflows for text-to-video generation, image-to-video animation, video editing and enhancement, character design, and poster generation. All output is delivered in structured JSON format, making it ideal for headless automation, multi-step pipelines, and integration with AI agent systems. Users must have an active PixVerse subscription to access the CLI.
How to Use
Install using the command line to access all features and functionalities.
Use Cases
Generate images and videos from command line
Automate content production workflows
Integrate into CI/CD pipelines
Tags
Setup & Installation
Quick Install
Terminal
$ npx skills add https://github.com/pixverseai/skills --skill pixverse-ai-image-and-video-generatorAlternative Install (Git Clone)
git clone https://github.com/pixverseai/skillsRequirements
- Claude Code or compatible AI agent
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
📝
No Examples Available
Check the GitHub repository or documentation for usage examples.
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