ai-video-gen

What This Skill Does

The ai-video-gen skill provides an end-to-end framework for generating high-quality video content from text prompts. It orchestrates a sophisticated pipeline that includes image generation (DALL-E 3, Flux, Stable Diffusion), video synthesis (LumaAI, Runway, Replicate), AI voice-over narration (OpenAI TTS, ElevenLabs), and advanced video assembly via FFmpeg. Whether you need a quick social media clip or a multi-scene narrative sequence, this skill automates the heavy lifting by managing assets, processing transitions, and applying audio layers automatically.

Installation

To integrate this tool into your OpenClaw environment, execute the following command: clawhub install openclaw/skills/skills/hhhh124hhhh/ai-video-gen-tools. Ensure you have FFmpeg installed on your system path. After installation, configure your credentials in a .env file for services like OpenAI, Replicate, LumaAI, or Runway. You must also run pip install openai requests pillow replicate python-dotenv to ensure all necessary Python dependencies are satisfied.

Use Cases

This skill is perfect for content creators, marketers, and developers looking to prototype visual concepts quickly. You can use it to create stock footage, generate training videos with narration, build automated social media marketing campaigns, or even produce small-scale animations from static image sequences. It serves both budget-conscious users who leverage free, local, or open-source models and power users who require premium, high-fidelity generation via paid API endpoints.

Example Prompts

1. "Generate a 10-second video of a cyberpunk cityscape at night with neon lights and flying vehicles, include an epic voice-over about the future of AI."
2. "Create a three-scene video presentation: first a sunrise over a beach, second a busy coffee shop, third a rainy city street. Keep the tone calm and professional."
3. "Convert my folder of frames into a 24fps mp4 file and add a smooth fade-out transition at the end."

Tips & Limitations

For optimal results, use highly descriptive prompts for the image generation stage, as video quality often scales with the detail of the initial frame. Be mindful of costs; while LumaAI and Runway offer immense creative power, their per-second or per-generation fees can accumulate during iterative testing. Always use the Budget Mode configurations when refining prompts to save on API credits. Note that video synthesis can be resource-intensive; ensure your environment has sufficient disk space for temporary asset caching during the FFmpeg assembly phase.