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/tl-videoWhat This Skill Does
The tensorslab-video skill brings professional-grade generative AI video capabilities directly into your OpenClaw environment. It leverages TensorsLab's powerful suite of models to transform text descriptions and static images into cinematic video content. Whether you need short-form content for social media or high-end visuals for creative projects, this skill automates the entire lifecycle: prompt enhancement, parameter configuration, progress tracking, and secure local file storage. By abstracting the complexities of model selection and resolution settings, it allows you to focus on the creative narrative while the agent manages the technical execution.
Installation
To integrate this skill into your workflow, execute the following command in your terminal:
clawhub install openclaw/skills/skills/bob5-tensorslab/tl-video
After installation, ensure your TensorsLab API key is properly configured as an environment variable (TENSORSLAB_API_KEY) to enable connectivity with the backend servers.
Use Cases
- Social Media Marketing: Generate vertical 9:16 videos tailored for TikTok, Instagram Reels, and YouTube Shorts from simple text prompts.
- Content Creation: Animate static family photos or landscape photography by uploading source images and providing motion instructions.
- Cinematic Production: Utilize the seedancev2 model to create high-definition 2K horizontal content with complex camera movements and lighting effects.
- Rapid Prototyping: Use the speed-optimized seedancev1profast model to iterate quickly on scene concepts before committing to high-resolution renders.
Example Prompts
- "生成一段 15 秒钟的电影感镜头，描述一只赛博朋克风格的猫在霓虹灯笼罩的雨夜街道上行走，横屏格式。"
- "让这张放在 ./images/scenery.jpg 的风景照动起来，增加一些微风吹过草地的动画效果。"
- "我想制作一个高质量的宣传短片，内容是关于未来派城市航拍，请使用最好的模型，分辨率设定为 1080p。"
Tips & Limitations
- Resource Management: Video generation is a resource-intensive process. Expect wait times ranging from several minutes depending on the chosen model and duration.
- Model Selection: Always choose the model that fits your output needs; for instance, reserve
seedancev2for projects requiring 1440p resolution or 15-second durations. - Prompt Engineering: While the agent automatically enhances prompts with cinematic vocabulary, starting with a detailed description of the subject, lighting, and camera movement will yield superior results.
- File Handling: Ensure your system has sufficient disk space in the
./tensorslab_output/directory before starting large batch generations.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-bob5-tensorslab-tl-video": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-write, file-read, external-api
Related Skills
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.
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-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.