Corespeed Art — Multi-Model AI Media via fal.ai

Auth: Set FAL_KEY with your fal.ai API key (get one at https://fal.ai/dashboard/keys).

Workflow

1. Pick a model from the tables below
2. Read its reference file to get the exact endpoint and parameters
3. Run the command with the endpoint and JSON parameters

Usage

uv run {baseDir}/scripts/fal.py ENDPOINT --json '{"param":"value"}' -f output.ext [-i input.ext]

• ENDPOINT — the fal.ai model path from the reference file (e.g. fal-ai/nano-banana-2)
• --json — model parameters as JSON object
• -f — output filename
• -i — input file(s) to upload (repeat for multiple), auto-injected as image_url/image_urls/start_image_url/video_url
• --audio — audio input file (for lipsync)

Image Generation

Video Generation

Audio / TTS

Music & Sound Effects

Utilities

Notes

• No manual Python setup required. The script uses PEP 723 inline metadata. uv run automatically creates an isolated virtual environment and installs the fal-client dependency on first run.
• fal.ai uses a queue system — the script polls until generation completes.
• Video generation can take 30s–3min.
• Use timestamps in filenames: yyyy-mm-dd-hh-mm-ss-name.ext.
• Script prints MEDIA: line for OpenClaw to auto-attach.
• Do not read generated media back; report the saved path only.

Support

Built by Corespeed. If you need help or run into issues:

• 💬 Discord: discord.gg/mAfhakVRnJ
• 🐦 X/Twitter: @CoreSpeed_io
• 🐙 GitHub: github.com/corespeed-io/skills