open-pose-editor VS sd-webui-controlnet

you can do it here or just use openpose module alone in controlnet with a given image

You can try this : https://zhuyu1997.github.io/open-pose-editor/

It won't need a processor unless you're using an input photograph that matches the composition you want. For the mlsd input, maybe try draw two horizontal white lines on a black canvas, for where you want the floor and ceiling meet the walls, and play with the strength. There's also tools like https://zhuyu1997.github.io/open-pose-editor/ and https://app.posemy.art/ and various extensions. I know you said "without resorting to creating a background"... just google some gym photographs?

You can also try looking at https://zhuyu1997.github.io/open-pose-editor/Web based (May also have a extension) but it does have fingers and will give you a Pose, Depth, Normal and canny image.

https://zhuyu1997.github.io/open-pose-editor/ set background image and make openpose matchstick man

Open Pose Editor is great but doesn't have better IK functionality of Magic Poser even though its hands and feet have IK. https://zhuyu1997.github.io/open-pose-editor/

Yeah that could also work, but some more complicated poses are tough :) I saw that this one are quite good: https://zhuyu1997.github.io/open-pose-editor/

Web version: https://zhuyu1997.github.io/open-pose-editor/ (Exports Canny/Depth/Normal/Edge model images to PNG for import).

A crucial step for achieving stable diffusion controlnet settings is the installation of the controlnet extension in Google Colab. Whether on a Windows PC or Mac, installing controlnet is vital for stable diffusion of human pose details. Additionally, updating the controlnet extension is necessary to maintain stability and achieve the desired results in OpenPose model. To install the v1.1 controlnet extension, go to the “extensions” tab and install it from this URL: https://github.com/Mikubill/sd-webui-controlnet. If you already have v1 controlnets installed, delete the folder from stable-diffusion-webui/extensions/. Install the v1.

1.1.420 Image-wise ControlNet and StyleAlign

I opened a request thread on ControlNet GitHub you can give a support : https://github.com/Mikubill/sd-webui-controlnet/issues/2319

It has been possible for 7 months now

I sometimes use a very similar technique in Cinema4d (here is a link to a c4d file with preset materials referencing proper colors for Semantic Segmentation if any other c4d user wants to try it), but yours is a much more accessible solution as it's free and it's accessible online.

There are models available that give you more control - in some senses, at least.

For example, you can use Stable Diffusion with 'ControlNet' [1] where for example, you can input an 'openpose' to choose the pose of people in the scene.

There's also a 'Regional Prompter' [2] which lets you use different prompts for different areas of the image, giving you some control over the composition.

You can also use 'inpainting' to regenerate select parts of your image if, for example, you don't like the shape of the clouds.

Of course this stuff isn't perfect - for example, you'll get hands with the wrong number of fingers sometimes, no matter what you specify :)

[1] https://github.com/Mikubill/sd-webui-controlnet