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--- |
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license: mit |
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language: |
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- en |
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pipeline_tag: image-to-image |
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library_name: ControlNet Preprocessors Annotators |
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tags: |
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- depth |
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- relative depth |
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- text-to-image |
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- image-segmentation |
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- image-to-video |
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- unconditional-image-generation |
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- depth-estimation |
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- zero-shot-object-detection |
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--- |
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# ControlNet preprocessor sets |
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## Introduction |
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This collection includes the most practical Stable Diffusion preprocessor (annotator) models, along with other valuable types of models. |
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I'll categorize them concisely and organize them into subfolders or a similar structure. |
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You can integrate these models into your auxiliary tools, and the directory structure will be approximately as follows: |
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## Installation |
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```bash |
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git clone https://huggingface.co/Cyber-BCat/ControlNet-Preprocessors_Annotators |
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``` |
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