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 here!
Usage guideline:
1. Download preprocessor and txt file from gumroad
2. Install requirements - run pip install -r requirements.txt command (in folder where you have downloaded file)
3. Prepare folder with images that you want to preprocess
4. Run command python preprocess.py -mh -mp -s C:\path\to\your\folder - 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!
描述:
训练词语:
名称: pototypeControlnet_e5.ckpt
大小 (KB): 8399707
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success
