ControlNet & Pose — Pro Pack on RunComfy
by community
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Description
Pose-conditioned generation on RunComfy via the `runcomfy` CLI. Routes across Kling 2-6 Motion Control Pro / Standard (transfer the motion / blocking of a reference video onto a target character), community Wan 2-2 Animate (audio-driven character animation with pose conditioning), and Z-Image Turbo ControlNet LoRA (pose-conditioned image generation from an OpenPose / DWPose / canny / depth control image). Picks the right route based on video vs still and stylized vs photoreal. Triggers on "controlnet", "control net", "pose control", "openpose", "DWPose", "transfer pose", "motion control", "pose driven", "character pose", "depth control", "canny edge", "use this pose", or any explicit ask to condition generation on a pose / skeleton / motion / depth / canny reference.
Install ControlNet & Pose — Pro Pack on RunComfy
Run this in your OpenClaw agent to add ControlNet & Pose — Pro Pack on RunComfy from the ClawHub registry.
openclaw skills install controlnet-poseRequires ClawHub registry access. Review the security analysis below before installing.
Security Analysis
Open Source
Code is publicly available for audit.
Community Verified
Reviewed by the ClawHub community.
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Frequently asked questions
Is ControlNet & Pose — Pro Pack on RunComfy safe to install?
ControlNet & Pose — Pro Pack on RunComfy has a SkillsReview security score of 50/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.
How much does ControlNet & Pose — Pro Pack on RunComfy cost?
ControlNet & Pose — Pro Pack on RunComfy is free to install for OpenClaw via ClawHub.
What are the best alternatives to ControlNet & Pose — Pro Pack on RunComfy?
You can compare ControlNet & Pose — Pro Pack on RunComfy side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.
How do I install ControlNet & Pose — Pro Pack on RunComfy?
Install ControlNet & Pose — Pro Pack on RunComfy from ClawHub at clawhub.ai/skills/controlnet-pose, or use the install action on this page to copy the command for your OpenClaw agent.
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