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Official Verified media Safety 4/5

pixverse

Generate high-quality AI videos using PixVerse API - text-to-video, image-to-video, and video extension

Why use this skill?

Generate high-quality AI videos directly in OpenClaw with the PixVerse skill. Support for text-to-video, image-to-video, and video extensions.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/duguyixiaono1/pixverse
Or

What This Skill Does

The PixVerse skill for OpenClaw integrates the powerful PixVerse AI video generation engine directly into your agentic workflow. This tool enables users to create high-quality, cinematic video content without leaving their terminal environment. By leveraging the PixVerse API, this skill supports three primary generative modes: Text-to-Video, which transforms natural language prompts into short clips; Image-to-Video, which brings static assets to life through advanced motion inference; and Video Extension, which allows for the seamless lengthening of existing media files. It is an essential utility for developers, content creators, and automated agents needing to bridge the gap between text-based reasoning and visual media output.

Installation

To get started, first acquire an API key from the PixVerse platform. Set this as an environment variable in your shell configuration by adding export PIXVERSE_API_KEY="your_key_here". Once the environment is configured, install the skill by running clawhub install openclaw/skills/skills/duguyixiaono1/pixverse. You may also manually link the directory to your local configuration folder at ~/.openclaw/skills/pixverse if you are working with a local clone of the repository. Ensure you have Node.js 20 or higher installed on your system, as it provides the required runtime performance for handling video metadata and API orchestration.

Use Cases

This skill is ideal for rapid prototyping of visual concepts, automating content creation for social media, or generating B-roll for video production. Developers can use it to create programmatic visual documentation or debug visual artifacts in video processing pipelines. Automated agents can also utilize this skill to visualize data-driven narratives, turning technical logs or summary reports into engaging visual presentations. It is particularly effective for teams that need to generate thousands of variations of a short clip for A/B testing or creative exploration.

Example Prompts

  1. "Create a 5-second video of a cyberpunk city street with neon lights reflecting in puddles, using a 720p resolution."
  2. "Animate this image: ./assets/landscape.jpg. Add a slow panning motion to the right and a subtle clouds moving effect."
  3. "Extend this video: ./outputs/clip.mp4 by an additional 5 seconds to show the subject walking away."

Tips & Limitations

To achieve the best results, use descriptive prompts that specify lighting, camera movement, and artistic style rather than just the subject matter. Keep in mind that video generation is computationally expensive and API-latency dependent; expect response times ranging from 30 seconds to several minutes. Ensure your source images for Image-to-Video tasks are high-resolution for better motion stability. Be mindful of your API quota and usage limits, as video generation can quickly exhaust high-volume accounts if not managed correctly. Finally, avoid sensitive or prohibited content to prevent triggering API security filters.

Metadata

Stars2287
Views0
Updated2026-03-09
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-duguyixiaono1-pixverse": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#video-generation#ai-video#content-creation#automation#multimedia
Safety Score: 4/5

Flags: network-access, file-read, external-api