This video is a comprehensive tutorial for OpenPose in ControlNet 1.1. If you are new to OpenPose, you might want to start with my video for OpenPose 1.0, since this video focuses on the additional face and hand functionality in OpenPose 1.1.
OpenPose 1.0 Tutorial: • ControlNet Deep Dive -...
First, we discuss the five pre-processors for OpenPose as well as what the maps correspond to in terms of anatomy. Next, I show how large faces and hand need to be to get reliably detected and other quirks to detection.
Later, I cover Weight and Control Steps and how they impact your output image. Previously, the single Guidance parameter was used which has been broken down into Starting Control Step and Ending Control step. Charts for the ranges of these parameters that keep face and hand details is provided.
Finally, I put everything together to discuss where OpenPose 1.1 is good and where it still struggles.
Chapters:
Intro: 00:00
Preprocessors: 00:35
Points for OpenPose Face: 01:25
Detection for Faces: 02:22
Points for OpenPose Hands: 05:29
Detection for Hands: 06:10
Weight and Control Steps: 07:46
Ending Control Step: 08:42
Starting Control Step: 09:49
Weight: 10:38
High Resolution Images: 12:35
Review and Discussion: 13:09
16 авг 2024