Rigify ControlNet Pose Driver for AI / Stable Diffusion (Body + Face)

Stop fighting random poses. Start directing your AI images 🎮🧠

This Blender Rigify model is purpose-built to drive ControlNet (Pose). Pose the model, render. Use that image (still or sequence) to drive your Stable Diffusion WebUI / AI service with still poses or motion. It uses a clean, color-coded mesh layout designed specifically for ControlNet detection.

This download includes:

- Posable Facial rig expression controls
- Posable Body, Hands, and Fingers.
- Collection names organized for depth passes / hands / face
- Compatible face for Mediapipe Face.
- 5 Facial Asset library poses
- Discord Support >>

Why a rigged 3D ControlNet in Blender?

* To drive your custom mocap with more animation control (layers/NLA tracks)
* To create facial and hand tracking sessions inside Blender
* Custom-directed expressions for Body and Face animation without sharing your video reference/data publicly on external services.

How it works (simple & fast) 🚀

1. Open Blender 3.5+
   
2. Pose the character using: Rigify controllers or the included Pose Library Presets
3. Turn on/off the pass collection you need and render the Viewport or Camera 
4. Use the image as a ControlNet Pose input (Face Media Pipe / Body

HuggingFace ControlNet in StableDiffusion Model>

Who this is for 👀

• Stable Diffusion artists using ControlNet / AI services
• Blender users who want directorial control over AI poses
• Creators tired of fixing anatomy after generation

• Anyone who wants repeatable results, not luck

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ControlNet posable Rig by Pierre Schiller>>

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Learning Resources

💡 If you’re new to Rigify and want to know all controls, I recommend this Rigify course>>