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BytesAgain β€Ί Skills β€Ί Core Speed Art
πŸ¦€ ClawHub

Core Speed Art

by @jiweiyuan

Generate video, images, audio, and music using 40+ AI models via fal.ai. Use for video generation (Kling v3, Sora 2, Veo 3.1, LTX 2.3, Pixverse v5), image ge...

Versionv1.0.1
Installs1
#clawhub
πŸ’‘ Examples

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

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

    • πŸ“‹ Tips & Best Practices

  • 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 β€” 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.

    • View on ClawHub
    TERMINAL
    clawhub install corespeed-art

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