CONTROLNETS, POSEMYART

How to create the desired custom body pose using Stable Diffusion and PoseMyArt

Quick Guide on creating flexible body pose using PoseMy.Art

Lars Nielsen
3 min readMar 13, 2023

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Context

If you are creating some graphic novels or comics, you will definitely want more control in determining the pose of your characters. Here is a quick way to create your own custom pose. But before that, here is a sample output.

A sample

How to create realistic human pose from COntrolNet , PoseMyArt and Stable Diffusion
Sample created from a human pose mesh ( Generated using Stable Diffusion )

This is the prompt we used for the above image.

photo of a super hero , raising both arms , wearing a leather dress with logo on his chest , full body shot ,
intricate, masterpiece, highest quality

How to create realistic human pose from COntrolNet , PoseMyArt and Stable Diffusion
Sample created from a human pose mesh ( Generated using Stable Diffusion )

Workflow

How to get human pose using ControlNet and Stable Diffusion
Workflow for pose control ( Image by Author )
  1. Goto posemy.art and create your pose, (You can select your character (if you are a paid user , or use some of the available characters available in the Free Plan)

2. Click on the nodes / joints of the body to select the orientation, degree of rotation. Move the circles through the desired angles to rotate/ move the body part / limb.

How to create realistic human pose from COntrolNet , PoseMyArt and Stable Diffusion
Image created in posemy.art ( Screenshot, edited by Author)

3. Once you get your desired pose for the character, take a screen shot ( Use the button, or manually take one )

This image will have the grid lines / reference lines from the application. These will interfere with the output image. So you will want to remove them from any of the free online applications like remove.bg ( https://www.remove.bg ) .

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Lars Nielsen

Making ML and AI available to everyone. One commit at a time. | Quantitative programming | Python | Arduino | Comp Vision | pythoslabs@gmail.com / @PythosL