RunComfy ControlNet Pose
Pose-conditioned image and video generation on RunComfy β Kling Motion Control, Wan Animate, Z-Image ControlNet LoRA
- What
- Pose-conditioned image and video generation on RunComfy β Kling Motion Control, Wan Animate, Z-Image ControlNet LoRA
- Cost
- Free
- Needs
- a Muse account with skill installation enabled
- Install
- Copy the installer prompt below into your Muse β your agent does the rest.
π³ Paid API required β Curated by Skill Harbor β an intent router for pose-conditioned generation on RunComfy: it classifies the request (video motion transfer vs still-image pose conditioning, stylized vs photoreal) and picks the right endpoint β Kling 2-6 Motion Control Pro or Standard to transfer a reference video's motion and blocking onto a target character, community Wan 2-2 Animate for audio-driven stylized character animation with pose conditioning, and Z-Image Turbo ControlNet LoRA for pose-locked image generation from an OpenPose / DWPose / canny / depth control image. For multi-condition stacks (pose + depth + reference), it points the agent at the full ComfyUI workflows on runcomfy.com instead, since those aren't reachable through the CLI. By @genmedia-labs, listed here with credit to its creator. Requires the `runcomfy` CLI and a RunComfy account with paid generation credits β every generation is billed. The skill executes shell commands through the CLI (declared as `Bash(runcomfy *)`), so review what it runs; reference video and control-image URLs are treated as untrusted, so only feed it assets you supplied. Skill Harbor never reviews the code, review it yourself before use.
Version:
Install
Prerequisites: a Muse account with skill installation enabled Install "RunComfy ControlNet Pose" for me. Pose-conditioned image and video generation on RunComfy β Kling Motion Control, Wan Animate, Z-Image ControlNet LoRA Repository: https://github.com/genmedia-labs/skills/blob/main/controlnet-pose/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "runcomfy-controlnet-pose". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. save my API key in the vault). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you β no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the sellerβs own page, usually Stripe.
What does the β next to a creatorβs name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself β always check a build before installing it.