open-pose-editor VS ControlNet-v1-1-nightly

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).

1- https://github.com/lllyasviel/ControlNet-v1-1-nightly/issues/89

Install ControlNet and download the models you want to use (canny/depth/openpose should be enough for this): https://github.com/lllyasviel/ControlNet-v1-1-nightly

you can find the previous version on their git and if it's a previous version of v1.1 then you probably have to search for the right branch on the new git version and download that

Stable Diffusion: https://huggingface.co/runwayml/stable-diffusion-v1-5 with ControlNet extension: https://github.com/lllyasviel/ControlNet-v1-1-nightly running on Automatic1111 web UI: https://github.com/AUTOMATIC1111/stable-diffusion-webui

Sure thing, after testing midjourney a bit I found out that yhe quality of images produced is best but you have zero control on over what is produced. The big breakthrough here is ControlNet which is a Stable Diffusion extension that makes you control the initial noise based on image inputs (or at least this is what i understand) more on it here: https://github.com/lllyasviel/ControlNet-v1-1-nightly

https://github.com/lllyasviel/ControlNet-v1-1-nightly/issues/61 it seems get removed as duplicated.