openclaw-media-gen

What This Skill Does

The openclaw-media-gen skill is a powerful unified interface for high-fidelity media production. By leveraging the AIsa platform, it enables users to generate stunning images via the Gemini 3 Pro model and cinematic-quality videos using the Qwen Wan 2.6 (Tongyi Wanxiang) engine. This skill bridges the gap between text-to-image and text-to-video workflows, allowing you to create assets directly from your OpenClaw agent without switching between multiple browser tabs or complex manual API calls.

Installation

To integrate this skill, ensure you have the OpenClaw environment initialized. Install it by running the following command in your terminal:

clawhub install openclaw/skills/skills/aisapay/aisa-media-gen

Once installed, you must provide your AIsa API key by setting the environment variable: export AISA_API_KEY="your-key-here"

Use Cases

This skill is designed for creators, developers, and researchers. Common scenarios include:

• Rapid Prototyping: Generating reference images for UI/UX designs or concept art.
• Content Creation: Producing short-form video sequences from static assets for social media or marketing campaigns.
• Automation: Integrating media generation into automated workflows, such as automatically generating a trailer visual when a new article is written.
• Educational Demonstrations: Visualizing complex concepts through AI-generated imagery and motion sequences.

Example Prompts

1. "Generate a futuristic cityscape with neon lights, rain-slicked streets, and a hyper-realistic cinematic look."
2. "Take this image URL [https://example.com/photo.jpg] and create a 5-second video clip where the camera slowly zooms in on the subject with a shallow depth of field."
3. "Create a professional, studio-lit portrait of a futuristic robotic character with detailed mechanical textures."

Tips & Limitations

• Asynchronous Processing: Video generation is an asynchronous process. Always capture your task_id after calling the video-create command and use the video-status command to poll for completion.
• Resource Costs: Be aware that video generation is computationally intensive. Monitor your API credit usage on the AIsa dashboard to avoid service interruptions.
• Image Guidance: For better video consistency, use clear, high-resolution source images with your prompts. The Wan 2.6 model performs best when the input image prompt closely aligns with the desired animation style.
• Format: The Gemini image generation returns base64 data; ensure your local client scripts have sufficient write permissions to save files to your designated output directory.