Pototype ControlNet models based on MediaPipe for pose and hands estimation. Higger "e" numer is better estimation but also greater impact on image. You will need external preprocessor available <a target="_blank" rel="ugc" href="https://natakaro.gumroad.com/l/oprmi">here</a>!Usage guideline:1. Download preprocessor and txt file from <a target="_blank" rel="ugc" href="https://natakaro.gumroad.com/l/oprmi">gumroad</a> 2. Install requirements - run <code>pip install -r requirements.txt </code>command (in folder where you have downloaded file) 3. Prepare folder with images that you want to preprocess 4. Run command <code>python preprocess.py -mh -mp -s C:\path\to\your\folder </code>- mh is for hands detection, mp for pose (you can try with just the pose which works great!) 5. Inside selected folder will appear detection folder (C:\path\to\your\folder\detection) 6. Copy downloaded models (.ckpt files) to ...\stable-diffusion-webui\extensions\sd-webui-controlnet\models 7. Inside Automatic1111 GUI select ControlNet enabled, preprocessor to None, one of the downloaded models and put image from earlier detection 8. Generate!

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