Queue ComfyUI workflows via REST API and monitor execution.
npx skills add https://github.com/MCKRUZ/ComfyUI-Expert --skill comfyui-api
Please help me install this Agent Skill. Skill: comfyui-api Source: https://github.com/MCKRUZ/ComfyUI-Expert/tree/main/skills/comfyui-api Command: npx skills add https://github.com/MCKRUZ/ComfyUI-Expert --skill comfyui-api
Connects to a running ComfyUI instance to queue workflows, monitor execution, and retrieve results, enabling automation and integration into AI-driven pipelines.
Start by connecting to a running ComfyUI instance, then queue a workflow and monitor its progress.
High-intent search queries and answers about installing and using this skill.
You can automate ComfyUI workflows by connecting to its REST API to queue workflows, poll execution status, and retrieve generated outputs. This enables integration into automated AI-driven pipelines.
Yes, you can operate in offline mode by exporting and loading workflow JSON files. This allows for manual execution within ComfyUI without requiring a live server connection.
To connect to a running ComfyUI instance, you need network access to the server and standard CLI tools like curl or wget to execute the necessary REST API calls.
Monitoring execution works by polling the ComfyUI REST API for workflow status after queuing. This allows you to track progress across multiple workflows from a single control layer.
The best way to integrate ComfyUI is by using its REST API to queue workflows, monitor execution, and fetch outputs automatically, enabling end-to-end pipeline automation.
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