runcomfy-cli
🎯Skillfrom prime-skills/runcomfy-agent-skills
Installation
npx vibeindex add prime-skills/runcomfy-agent-skills --skill runcomfy-clinpx skills add prime-skills/runcomfy-agent-skills --skill runcomfy-cli~/.claude/skills/runcomfy-cli/SKILL.md
|A unified command-line interface for RunComfy that lets you install once, authenticate once, and invoke any of hundreds of model endpoints (image generation, video generation, face swap, lip-sync, inpainting, LoRA training, and more) with a single `runcomfy run` command.
Overview
RunComfy CLI is a single binary that provides unified access to RunComfy's entire model catalog. After a one-time install via npm and a single authentication step, you can submit requests to any supported model endpoint, poll for completion, and download results automatically. The CLI supports text-to-image, image-to-image, video generation, lip-sync, face swap, inpainting, outpainting, ControlNet, relighting, upscaling, and LoRA training, all through consistent runcomfy run <model_id> invocations.
Key Features
- One binary, one auth: Install globally with
npm i -g @runcomfy/cliand sign in once withruncomfy loginto access every model - Hundreds of model endpoints: Covers image generation (FLUX, GPT Image 2, Nano Banana, Seedream), video (HappyHorse, Wan, Seedance, Kling, Veo), lip-sync, face swap, and more
- Submit-poll-download workflow: Each
runcomfy runcall submits the request, polls for status, and downloads output files automatically - Scripting-friendly JSON mode: Use
--output jsonfor machine-readable output, pipe results with jq, and batch process from prompt files - Async job support: Submit with
--no-waitand check status later withruncomfy status <request_id> - Structured exit codes: Distinct codes for success (0), bad args (64), schema mismatch (65), retryable errors (75), and auth failures (77) enable robust shell scripting
Who is this for?
- Developers and creators who want CLI-based access to AI image and video generation models without managing multiple API clients
- Automation engineers building batch processing pipelines for media generation tasks
- Teams integrating AI model calls into shell scripts, CI/CD pipelines, or agent-driven workflows
Same repository
prime-skills/runcomfy-agent-skills(25 items)
SKILL.md
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