runcomfy-cli
RunComfy CLI is a single binary that connects you to hundreds of AI model endpoints—image generation, video creation, editing, face swap, lip-sync, and more—all from the command line. Install once, authenticate once, then invoke any model with `runcomfy run` and JSON inputs. This skill teaches installation, login, model discovery, invocation modes (sync, poll, no-wait), JSON scripting, and error handling.
RunComfy CLI installs a single command-line tool for accessing hundreds of AI model endpoints with one authentication.
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Install
prime-skills/runcomfy-agent-skills/runcomfy-cli
git clone https://github.com/prime-skills/runcomfy-agent-skills
cp -r runcomfy-agent-skills/runcomfy-cli ~/.claude/skills/runcomfy-clinpx skillfed install prime-skills/runcomfy-agent-skills/runcomfy-cliFrequently asked questions
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How to install runcomfy CLI?
RunComfy CLI is a single binary that installs in seconds. Download the appropriate release for your OS from the official repository, make it executable, and add it to your PATH. Once installed, authenticate with `runcomfy login` using your API key, then verify with `runcomfy whoami`. You're ready to invoke hundreds of AI models from the command line.
How do I run an image generation model from the command line?
RunComfy CLI lets you invoke image generation models via `runcomfy run` with JSON inputs. Discover available models and their schemas using `runcomfy model discovery` or by browsing the RunComfy catalog. Pass your prompt and parameters as JSON, and the CLI returns results—either synchronously or asynchronously depending on your flags.
Can I submit a job to runcomfy without waiting for results?
Yes. RunComfy CLI supports async submission with the `--no-wait` flag, which returns a job ID immediately without blocking. Poll the status later using `runcomfy status <job-id>` to check progress, or set up a polling loop in your script. This pattern is ideal for batch processing and automation workflows.
How does runcomfy CLI handle batch image generation and JSON scripting?
RunComfy CLI outputs JSON by default, making it perfect for piping to tools like `jq` and scripting. Batch process multiple requests by looping over inputs, submitting each with `runcomfy run`, and collecting results. Parse JSON output to extract model results, job IDs, or error codes, then automate downstream tasks like filtering or uploading.
What models can runcomfy CLI invoke beyond image generation?
RunComfy CLI connects to hundreds of endpoints including video creation, face swap, lip-sync, and video editing models. Use `runcomfy model discovery` to explore the full catalog and retrieve schemas for each model. Every model accepts the same CLI invocation pattern: `runcomfy run <model-name>` with JSON parameters.
How do I authenticate and set up my API key for runcomfy?
RunComfy CLI authenticates via `runcomfy login`, which prompts for your API key. Store it securely—the CLI caches credentials locally. Verify authentication anytime with `runcomfy whoami`. If you need to switch accounts or reset, simply run `runcomfy login` again. The MIT license covers all CLI usage.
SKILL.md
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RunComfy CLI
One binary, one auth, every RunComfy model. Install
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