Video Inpainting

agentspace-so/runcomfy-agent-skills

Routes video region edits through RunComfy's prompt-driven endpoints, defaulting to Wan 2-7 edit-video for spatial language tasks like "remove the watermark in the bottom-right" or "clean up the passing person in the background." The skill picks between three models based on intent: Wan for prompt-driven regions, Lucy Edit for identity-stable swaps, and Seedream for frame-by-frame stacks. It's honest about the tradeoff: these are all prompt-based, not pixel-precise mask propagation. For surgical edits you need the ComfyUI workflows with SAM2 tracking, which the CLI can't reach. Good default for conversational video cleanup, just don't expect pixel-perfect masks from text alone.

skills.sh installs

117.8K

GitHub stars

11

last updated

Jun 3, 2026

# 1. Install (see runcomfy-cli skill for details)
npm i -g @runcomfy/cli      # or:  npx -y @runcomfy/cli --version

# 2. Sign in
runcomfy login              # or in CI: export RUNCOMFY_TOKEN=<token>

# 3. Edit a video (closest CLI-reachable approach)
runcomfy run wan-ai/wan-2-7/edit-video \
  --input '{"video_url": "...", "prompt": "..."}' \
  --output-dir ./out

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