tensorslab-video
Generate videos using TensorsLab's AI video generation models. Supports text-to-video and image-to-video generation with automatic prompt enhancement, progress tracking, and local file saving. Use for generating videos from text descriptions, animating static images, creating cinematic content, and various aspect ratios. Requires TENSORSLAB_API_KEY environment variable. Video generation takes several minutes.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/bob5-tensorslab/tensorslab-videoWhat This Skill Does
The tensorslab-video skill provides a powerful interface for AI-driven video generation directly within your OpenClaw environment. By leveraging TensorsLab's advanced video synthesis models, users can transform simple text descriptions or static images into high-quality cinematic content. This skill abstracts the complexity of API interactions, handle prompt enhancement to ensure professional-grade output, manages task monitoring via heartbeat updates, and automatically saves finished video files to your local ./tensorslab_output/ directory.
Installation
To integrate this skill into your OpenClaw agent, execute the following command in your terminal:
clawhub install openclaw/skills/skills/bob5-tensorslab/tensorslab-video
Before initial use, ensure you have a valid TensorsLab API Key. You must set this key as an environment variable (TENSORSLAB_API_KEY) on your system to allow the agent to authenticate with the TensorsLab backend services.
Use Cases
- Cinematic Content Creation: Generate high-fidelity footage for storytelling, marketing, or creative projects using advanced models like
seedancev2. - Social Media Production: Quickly create vertical (9:16) videos for TikTok, Instagram Reels, or YouTube Shorts, with support for various aspect ratios.
- Image Animation: Breathe life into static photography or digital art by animating user-provided source images.
- Prototyping & Previews: Use the
seedancev1profastmodel to generate rapid previews of conceptual ideas before committing to higher-resolution, longer-duration renders.
Example Prompts
- "Generate a 10-second cinematic video of a futuristic cyberpunk city skyline at night, 16:9 ratio, high quality."
- "Animate this portrait of a mountain landscape, make the clouds move across the sky slowly, use 720p resolution."
- "Create a 15-second wide shot of a dragon flying over a medieval castle, use the seedancev2 model for maximum detail."
Tips & Limitations
- Time Sensitivity: Video generation is a resource-intensive process. Be prepared for wait times ranging from several minutes depending on the selected duration and model complexity.
- API Key Management: Always verify your key is correctly set before triggering long tasks; failure to configure will result in authentication errors.
- Resolution Matters: While 1080p and 1440p (for v2) provide superior quality, they require more processing time than 480p or 720p settings.
- Model Selection: Choose your model wisely. Use
seedancev2for the best visual fidelity, but lean onseedancev1profastfor quick iterations or brainstorming sessions to optimize your workflow.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-bob5-tensorslab-tensorslab-video": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-write, external-api
Related Skills
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Generate and edit images using TensorsLab's AI models. Supports text-to-image, image-to-image generation, plus advanced editing: avatar generation, watermark removal, object erasure, face replacement, and general image editing. Features automatic prompt enhancement, progress tracking, and local file saving. Requires TENSORSLAB_API_KEY environment variable.
tensorslab-image
Generate and edit images using TensorsLab's AI models. Supports text-to-image, image-to-image generation, plus advanced editing: avatar generation, watermark removal, object erasure, face replacement, and general image editing. Features automatic prompt enhancement, progress tracking, and local file saving. Requires TENSORSLAB_API_KEY environment variable.
tensorslab-video
Generate videos using TensorsLab's AI video generation models. Supports text-to-video and image-to-video generation with automatic prompt enhancement, progress tracking, and local file saving. Use for generating videos from text descriptions, animating static images, creating cinematic content, and various aspect ratios. Requires TENSORSLAB_API_KEY environment variable. Video generation takes several minutes.