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ControlNet Preprocessors Annotators

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...

TypeOtherVersionRevision 6e92105BClasse

Source du modèle

Type
Other
Taille du fichier
242 KB–1,77 GB
Version
vRevision 6e92105
Mis à jour
6 oct. 2026
Téléchargements
8
Source
Hugging Face

Description de la source

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

Installation

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

Sources

1 source
Hugging FacePrincipalVersion 6e921052ddc0e2082343573a9cd5167dc0154633
huggingface.co/Cyber-BCat/ControlNet-Preprocessors_Annotators/tree/6e921052ddc0e2082343573a9cd5167dc0154633

Vérifié 6 oct.

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Artefacts du modèle

22 artefacts

150_16_swin_l_oneformer_coco_100ep.pth

pth · 906 MB · SHA-256 0684dfc39720…3855 · Hugging Face

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250_16_swin_l_oneformer_ade20k_160k.pth

pth · 906 MB · SHA-256 f7ac095c28dd…0b16 · Hugging Face

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body_pose_model.pth

pth · 200 MB · SHA-256 25a948c16078…b746 · Hugging Face

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ControlNetHED.pth

pth · 28,1 MB · SHA-256 5ca93762ffd6…a8fa · Hugging Face

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ControlNetLama.pth

pth · 195 MB · SHA-256 3b54044a2322…1150 · Hugging Face

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depth_anything_v2_vitl.pth

pth · 1,25 GB · SHA-256 a7ea19fa0ed9…9345 · Hugging Face

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depth_anything_vitl14.pth

pth · 1,25 GB · SHA-256 6c6a383e33e5…fe63 · Hugging Face

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depth_pro.pt

pt · 1,77 GB · SHA-256 3eb35ca68168…c0ce · Hugging Face

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depth_pro.safetensors

safetensors · 1,77 GB · SHA-256 8cf414ab4113…d33f · Hugging Face

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dpt_hybrid-midas-501f0c75.pt

pt · 470 MB · SHA-256 501f0c75b3bc…0853 · Hugging Face

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erika.pth

pth · 165 MB · SHA-256 badbd6baf013…feeb · Hugging Face

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latest_net_G.pth

pth · 304 MB · SHA-256 50ec735d74ed…7462 · Hugging Face

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mlsd_large_512_fp32.pth

pth · 6,05 MB · SHA-256 5696f168eb2c…a082 · Hugging Face

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MTEED.pth

pth · 242 KB · SHA-256 a3c2d8a8ce94…abdb · Hugging Face

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netG.pth

pth · 208 MB · SHA-256 ccabdcc3f5cf…c488 · Hugging Face

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res101.pth

pth · 506 MB · SHA-256 1d696b2ef3e8…520b · Hugging Face

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scannet.pt

pt · 277 MB · SHA-256 03dbf1600c51…c209 · Hugging Face

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sdxl.vae.safetensors

safetensors · 319 MB · SHA-256 235745af8d86…c6e1 · Hugging Face

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sk_model.pth

pth · 16,4 MB · SHA-256 c686ced2a666…f0c6 · Hugging Face

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sk_model2.pth

pth · 16,4 MB · SHA-256 30a534781061…74e0 · Hugging Face

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upernet_global_small.pth

pth · 197 MB · SHA-256 bebfa1264c10…d970 · Hugging Face

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ZoeD_M12_N.pt

pt · 1,34 GB · SHA-256 c97f94c4d53c…c33b · Hugging Face

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Extraits de sources

3 extraits

--- 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 ```

Source context: 8 downloads · 1 likes · Pipeline image-to-image · Library ControlNet Preprocessors Annotators · Repo Cyber-BCat/ControlNet-Preprocessors_Annotators

Source context: 21 downloads · 1 likes · Pipeline image-to-image · Library ControlNet Preprocessors Annotators · Repo Cyber-BCat/ControlNet-Preprocessors_Annotators