File size: 908 Bytes
f074489 4236e39 cbec07f 38bd7d4 cbec07f f074489 4236e39 f074489 4236e39 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 |
---
license: mit
language:
- en
pipeline_tag: image-to-image
library_name: ControlNet Preprocessors Annotators
tags:
- depth
- relative depth
- text-to-image
- image-segmentation
- image-to-video
- unconditional-image-generation
- depth-estimation
- zero-shot-object-detection
---
# 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:
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6651b9ff61422fc89770c998/205NNxmoKUdsvxyh2IRj-.png)
## Installation
```bash
git clone https://huggingface.co/Cyber-BCat/ControlNet-Preprocessors_Annotators
```
|