What breaks without openclaw comfyui runner skill

Manual prompt queuing. GPU time wasted. Overnight pipelines failing silently.

→

Hundreds of image variations overnight × battle-tested batch runner ÷ 20–30 minutes ÷ zero babysitting = creative output at scale.

openclaw comfyui runner skill — what it actually does

Process multiple ComfyUI prompts sequentially without manual intervention.

Queue batch jobs from a plain text file of prompts.

Log failed jobs to comfyui_errors.log for retry and review.

Respect GPU VRAM limits by controlling queue depth.

Run fully unattended overnight creative pipelines.

Security check — openclaw comfyui runner skill

Privacy score: 7/10 — accesses connected platform APIs only. Lock it: review OAuth scopes before install, confirm macOS, Linux; OpenClaw ≥1.0; ComfyUI; GPU recommended compatibility.

Quick start — openclaw comfyui runner skill in 20–30 minutes

Setup time: 20–30 minutes

You need:

OpenClaw core
ComfyUI
NVIDIA GPU recommended

Install the package:

# Install via ClawhHub
clawhub install xtopher86/comfyui-runner

Ensure ComfyUI is running with API mode enabled

Set COMFYUI_URL and COMFYUI_OUTPUT_DIR in .env

Install the skill

Run /comfyui-runner batch --input prompts.txt

Troubleshooting openclaw comfyui runner skill

1. GPU VRAM usage is per-image — queue depth should not exceed GPU capacity

2. Failed jobs are retried once — persistent failures logged to comfyui_errors.log

Compatibility & status

Works with: macOS, Linux; OpenClaw ≥1.0; ComfyUI; GPU recommended intermediate Last updated: Oct 2025 ★ 165 on GitHub MIT

Official docs →

View on GitHub →

Related — more like openclaw comfyui runner skill

Every hour you queue prompts by hand is an hour your GPU sits idle. Install before your next batch job and let the machine run while you sleep.

Get it on GitHub →

Comfyui Runner