Text to Video Open Source — Generate Videos from Text for Openclaw

An open-source AI video generation skill that transforms text descriptions into professional 1080p MP4 clips using cloud-based GPU rendering.

francemichaell-15
v1.0.0
Apr 14, 2026
0
354
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install text-to-video-open-source

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install text-to-video-open-source using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Text to Video Open Source — Generate Videos from Text?

Text to Video Open Source is a developer-centric skill designed to bridge the gap between creative writing and video production. By integrating this skill into your AI agent workflow, you can generate cinematic sequences—such as a fox running through a snowy forest at dusk—directly from natural language prompts. This tool is a standout feature within the Openclaw Skills library, offering indie creators and developers a way to bypass expensive API subscriptions and complex local hardware requirements.

The skill operates by communicating with a high-performance cloud render pipeline. It handles the entire lifecycle of video creation, from interpreting scene descriptions to compositing layers and exporting final files in industry-standard formats like H.264 MP4. Whether you are building automated content pipelines or enhancing an AI coding assistant, this skill provides the necessary infrastructure for rapid, text-driven visual storytelling.

Text to Video Open Source — Generate Videos from Text Use Cases

  • Generate a 15-second video clip from this scene description: a fox running through a snowy forest at dusk.
  • Transform two-sentence descriptions of landscapes into 1080p MP4 files for presentations or social media.
  • Batch process text documents (TXT, PDF, SRT) into video drafts for rapid creative prototyping.
  • Add background music and dynamic text overlays to AI-generated footage using natural language commands.
  • Automate video asset creation for indie games and web applications without manual video editing.

How Text to Video Open Source — Generate Videos from Text Works

  1. The skill establishes a secure session by either using a pre-configured NEMO_TOKEN or generating an anonymous client UUID.
  2. Users provide text prompts or upload source files (up to 500MB) which are sent to the backend via a Server-Sent Events (SSE) stream.
  3. The backend interprets the intent—such as generating a new scene, adding audio, or adjusting the aspect ratio—and updates the project's timeline state.
  4. A cloud GPU node composites the video layers, applying necessary compression and platform-specific formatting (up to 1080x1920 resolution).
  5. The skill polls the export proxy to monitor completion and provides a direct download URL for the final media asset within 1-3 minutes.

Text to Video Open Source — Generate Videos from Text Setup

To get started with this component of the Openclaw Skills library, configure your environment and connect to the rendering API.

# Set your authentication token (optional but recommended)
export NEMO_TOKEN="your_nemo_api_token_here"

# The skill also supports anonymous sessions for testing
# Config files are typically stored in:
# ~/.config/nemovideo/

Ensure your AI agent has the appropriate headers configured for API attribution, including X-Skill-Source: text-to-video-open-source.

Text to Video Open Source — Generate Videos from Text Data Schema & Taxonomy

The skill organizes video projects using a structured draft schema. Below is the mapping for metadata and timeline organization:

Key Definition Details
session_id Project Identifier Required for all stateful API calls
t Tracks Array of media layers (Video, Audio, Text)
tt Track Type 0 = Video, 1 = Audio, 7 = Text
sg Segments Specific clips or blocks within a track
d Duration Length of the segment in milliseconds
m Metadata Contains scaling, positioning, and file info

Text to Video Open Source — Generate Videos from Text Advanced Features

  • Real-time iterative editing via Server-Sent Events (SSE) for immediate feedback on prompt adjustments.
  • Multi-format export support including MP4, MOV, WebM, AVI, and MKV with H.264 encoding.
  • High-capacity file handling supporting source uploads up to 500MB for scripts and reference media.
  • Intelligent session persistence allowing users to refine and tweak timelines across multiple chat interactions.
  • Automated credit balance management with built-in anonymous token renewal and registration hooks.

SKILL.md


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