Bingsu_adetailer
Bingsu · View on Hugging Face ↗
LoRA inpainting adapter for Stable Diffusion that automatically detects and redetails faces and hands in generated images.
✓ verified · rehash-vs-hf-metadata at 2026-08-24T11:08:06Z
apache-2.0313.1 MB (328,341,765 bytes)ultralyticspytorch
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Download Bingsu_adetailer.torrent
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Model card
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license: apache-2.0 library_name: ultralytics datasets:
- wider_face
- skytnt/anime-segmentation tags:
- pytorch
YOLOv8 Detection Model
Datasets
Face
- Anime Face CreateML
- xml2txt
- AN
- wider face
Hand
- AnHDet
- hand-detection-fuao9
Person
- coco2017 (only person)
- AniSeg
- skytnt/anime-segmentation
deepfashion2
- deepfashion2
| id | label |
|---|---|
| 0 | short_sleeved_shirt |
| 1 | long_sleeved_shirt |
| 2 | short_sleeved_outwear |
| 3 | long_sleeved_outwear |
| 4 | vest |
| 5 | sling |
| 6 | shorts |
| 7 | trousers |
| 8 | skirt |
| 9 | short_sleeved_dress |
| 10 | long_sleeved_dress |
| 11 | vest_dress |
| 12 | sling_dress |
Info
| Model | Target | mAP 50 | mAP 50-95 |
|---|---|---|---|
| face_yolov8n.pt | 2D / realistic face | 0.660 | 0.366 |
| face_yolov8n_v2.pt | 2D / realistic face | 0.669 | 0.372 |
| face_yolov8s.pt | 2D / realistic face | 0.713 | 0.404 |
| face_yolov8m.pt | 2D / realistic face | 0.737 | 0.424 |
| face_yolov9c.pt | 2D / realistic face | 0.748 | 0.433 |
| hand_yolov8n.pt | 2D / realistic hand | 0.767 | 0.505 |
| hand_yolov8s.pt | 2D / realistic hand | 0.794 | 0.527 |
| hand_yolov9c.pt | 2D / realistic hand | 0.810 | 0.550 |
| person_yolov8n-seg.pt | 2D / realistic person | 0.782 (bbox) 0.761 (mask) |
0.555 (bbox) 0.460 (mask) |
| person_yolov8s-seg.pt | 2D / realistic person | 0.824 (bbox) 0.809 (mask) |
0.605 (bbox) 0.508 (mask) |
| person_yolov8m-seg.pt | 2D / realistic person | 0.849 (bbox) 0.831 (mask) |
0.636 (bbox) 0.533 (mask) |
| deepfashion2_yolov8s-seg.pt | realistic clothes | 0.849 (bbox) 0.840 (mask) |
0.763 (bbox) 0.675 (mask) |
Usage
from huggingface_hub import hf_hub_download
from ultralytics import YOLO
path = hf_hub_download("Bingsu/adetailer", "face_yolov8n.pt")
model = YOLO(path)
import cv2
from PIL import Image
img = "https://farm5.staticflickr.com/4139/4887614566_6b57ec4422_z.jpg"
output = model(img)
pred = output[0].plot()
pred = cv2.cvtColor(pred, cv2.COLOR_BGR2RGB)
pred = Image.fromarray(pred)
pred
Unsafe files
Since getattr is classified as a dangerous pickle function, any segmentation model that uses it is classified as unsafe.
All models were created and saved using the official ultralytics library, so it's okay to use files downloaded from a trusted source.
Magnet link (secondary — no webseeds)
Opens the swarm directly, but carries no webseed url-list. Prefer the.torrent download above — HTTP fallback seeds ride inside it.
magnet:?xt=urn:btih:5f160271b9fe483abadcc5f01805f44fb20be735&dn=Bingsu_adetailerOpen magnet in torrent client · infohash 5f160271b9fe483abadcc5f01805f44fb20be735
Files & hashes
| Path | Size | Method | Hash |
|---|---|---|---|
| README.md | 3.9 KB (3,962 B) | sha1-git-blob | d0882d3c72bf5ba348fc38a64585dbbfb53edf77 |
| deepfashion2_yolov8s-seg.pt | 22.7 MB (23,852,321 B) | sha256-lfs | c319c15e86443ea61f70b40620909d737c47ff2a39381536503ac5c54772f8ac |
| face_yolov8m.pt | 49.6 MB (52,026,019 B) | sha256-lfs | 717923c19b3f4bbf5250b728f1fa6b2cb72a33aed1d236ea9caf0e21ad943e5f |
| face_yolov8n.pt | 5.9 MB (6,230,011 B) | sha256-lfs | 70b640f8f60b1cf0dcc72f30caf3da9495eb2fb6509da48c53374ad6806e6a9c |
| face_yolov8n_v2.pt | 6.0 MB (6,239,036 B) | sha256-lfs | 8f5f2110f83c4e00712993fab48c771d26036e2e80ec62bd5b9cb37c29e36b36 |
| face_yolov8s.pt | 21.5 MB (22,507,707 B) | sha256-lfs | c7237eff25787377de196961140ceaed324d859ee8de5a775d93d33a0e3fab78 |
| face_yolov9c.pt | 49.3 MB (51,648,019 B) | sha256-lfs | d02fe493c31e1bbc6450f4dc6f1db86a02a59322ff1f6d318da0661d72ddd084 |
| hand_yolov8n.pt | 5.9 MB (6,237,883 B) | sha256-lfs | 3991202eb69e9ddcb3b9ba80cdeb41e734ffaf844403d6c9f47d515cd88c6f29 |
| hand_yolov8s.pt | 21.5 MB (22,507,643 B) | sha256-lfs | 70b540063fbc385736d8258970744a4afbc4cbf7932134bae3b24cdadeadec06 |
| hand_yolov9c.pt | 49.2 MB (51,633,747 B) | sha256-lfs | 6f116f686ef5942fa0c1d08db481b3d7622047a97847eccfb2a264f9ce9777f2 |
| person_yolov8m-seg.pt | 52.3 MB (54,827,683 B) | sha256-lfs | c8ab26f517173b1fe8342d336a09f443eb61cb08dcbfc78d53fff4c2547ae81e |
| person_yolov8n-seg.pt | 6.5 MB (6,777,003 B) | sha256-lfs | 38fc8aaae97cb6e70be4ec44770005b26ed473471362afcda62a0037d7ccf432 |
| person_yolov8s-seg.pt | 22.7 MB (23,850,731 B) | sha256-lfs | 53c54aec2239355faffc6c5b70d0f3d05042f386f956cbec39cec46ad456f050 |
Provenance
| Upstream repository | Bingsu/adetailer |
|---|---|
| Revision (pinned) | 53cc19de382014514d9d4038601d261a7faa9b7b |
| Fetched at | 2026-08-24T11:07:53Z |
| License at fetch | apache-2.0 |
| Snapshot tool | huggingface · seedbank 0.1.0 |
Trackers
- udp://announce.aitorrent.org:6969/announce
- http://announce.aitorrent.org:7070/announce
- udp://announce2.aitorrent.org:6970/announce
- http://announce2.aitorrent.org:7071/announce
- udp://tracker.opentrackr.org:1337/announce
- udp://open.demonii.com:1337/announce
- udp://open.stealth.si:80/announce
- udp://exodus.desync.com:6969/announce
- udp://tracker.torrent.eu.org:451/announce