metadata

license: mit
language:
  - en
pipeline_tag: >-
  image-segmentation, text-to-image, image-to-image, image-to-video,
  unconditional-image-generation, depth-estimation, zero-shot-object-detection
library_name: oneformer, depth-anything-v2, erika, ControlNetHED, diffusion
tags:
  - depth
  - relative depth

ControlNet preprocessor sets

Introduction

This collection includes the most practical Stable Diffusion preprocessor (annotator) models, along with other valuable types of models. I'll categorize them concisely and organize them into subfolders or a similar structure. You can integrate these models into your auxiliary tools, and the directory structure will be approximately as follows:

Installation

git clone https://huggingface.co/Cyber-BCat/ControlNet-Preprocessors_Annotators