fal

What This Skill Does

The fal skill enables the OpenClaw AI agent to interface directly with the vast ecosystem of generative AI models hosted on fal.ai. It provides a comprehensive command-line interface to discover, inspect, and execute over 1000+ specialized models, including high-end text-to-image (like Flux), video generation, 3D object synthesis, and audio processing tools. By automating the request queue, polling, and local file storage, the skill streamlines the entire creative workflow within your session environment.

Installation

To install this skill, run the following command in your terminal: clawhub install openclaw/skills/skills/apekshik/fal Ensure you have an active API key from fal.ai. Once obtained, configure your environment by adding export FAL_KEY="your-key-here" to your shell profile.

Use Cases

• Prototyping Visual Content: Quickly iterate on image concepts using state-of-the-art diffusion models without leaving the terminal.
• Batch Video Generation: Automate the creation of video clips from text prompts for social media or content drafting.
• Audio Production: Leverage text-to-speech models to generate voiceovers for documentation or personal projects.
• 3D Asset Exploration: Generate 3D models from 2D inputs for use in rapid game development or digital design.

Example Prompts

1. "fal search text-to-image" — This will list the top models currently available for generating images.
2. "fal schema fal-ai/flux-2" — This command retrieves the required parameters for the Flux 2 model, showing you exactly which fields you need to define.
3. "fal run fal-ai/flux-2 --prompt 'a majestic lion in a futuristic city, cyberpunk style' --image_size landscape_16_9" — This triggers the image generation process, handles the queue status, and saves the final output file to your current session folder.

Tips & Limitations

• Session Management: Always ensure your session is active, as the tool automatically stores files in ~/.fal/sessions/${CLAUDE_SESSION_ID}/ for easy access.
• Polling behavior: The skill includes an automated polling loop; if a job takes longer than expected, it will continue to check status until a COMPLETED or FAILED state is returned.
• Cost Awareness: Be mindful that running complex models via API often incurs costs on the fal.ai platform based on compute time. Always check your usage dashboard on fal.ai if running frequent high-resolution batches.