| --- |
| 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: |
|
|
|  |
|
|
|
|
| ## Installation |
|
|
| ```bash |
| git clone https://huggingface.co/Cyber-BCat/ControlNet-Preprocessors_Annotators |
| ``` |
|
|
