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BytesAgain β€Ί Skills β€Ί OpenClaw ComfyUI
πŸ¦€ ClawHub

OpenClaw ComfyUI

by @salmonrk

Connect and control ComfyUI API efficiently using template mapping and auto-asset management for image generation and editing tasks.

Versionv1.0.4
Downloads3,406
Installs19
Stars⭐ 11
#image-gen#legal#travel#productivity
TERMINAL
clawhub install openclaw-comfyui

πŸ“– About This Skill

ComfyUI-OpenClaw Skill 🎨✨

A professional, token-saving agent skill for connecting and controlling ComfyUI via API. Designed for high efficiency, automatic asset handling, and seamless integration with OpenClaw.

πŸ—οΈ Skill Structure

  • Host Address: 192.168.1.38:8190 (Configured in TOOLS.md)
  • Workflow Directory: skills/comfyui/workflows/ (Self-contained within the skill folder)
  • Output Directory: outputs/comfy/ (Relative to workspace root)
  • Core Script: skills/comfyui/comfy_client.py (Handles prompt injection, image uploads, and result polling)

    • πŸ› οΈ Tools (CLI)

    Invoke via the exec command: python3 skills/comfyui/comfy_client.py "" [input_image_path/orientation] [orientation]

    Parameters:

  • template_id:
    • 1. gen_z: Text-to-Image (uses image_z_image_turbo.json) 2. qwen_edit: Image-to-Image / Editing (uses qwen_image_edit_2511.json) - *Supports automatic image upload.*
  • prompt: The description of the image to generate or edits to perform.
  • input_image_path: (Optional) Local path for image-to-image tasks.
  • orientation: (Optional) Set to portrait (720x1280) or landscape (1280x720). Defaults to portrait.

    • πŸ’‘ How to Add New Workflows

    You can expand this skill easily: 1. Place your new API-formatted JSON workflow in skills/comfyui/workflows/. 2. Update the WORKFLOW_MAP dictionary in skills/comfyui/comfy_client.py with a new ID and the file path. 3. (Optional) If the workflow uses unique node types, adjust the injection logic in the script's main() function.

    πŸš€ Token-Saving Strategy

  • Template Mapping: Never send full workflow JSONs in the chat. Refer to them by template_id.
  • Vision-Saving Strategy: To minimize token usage, the agent should prioritize using the file path from metadata instead of analyzing image content via vision capabilities unless explicitly asked to describe or analyze the image.
  • Direct Delivery: Deliver images directly to users via messaging plugins (e.g., Telegram) or local file openers (open) to avoid bloating the LLM's context window with base64 data.