coco2017 (only person) Since getattr is classified as a dangerous pickle function, any segmentation model that uses it is classified as unsafe.
SAVRN's Notes on adetailer
Cleanup passes in an image pipeline are where these weights earn their keep. Dowon Hwang publishes them for the ultralytics library, trained on wider_face and skytnt/anime-segmentation, so the job is detecting faces and segmenting anime images, not generating pictures. No runs_on figures exist, and the file size explains why: 14 files, 328 MB. The hardware question is how much headroom remains on the card already running your generation model.
Apache 2.0 keeps the deployment simple: commercial use, modification and redistribution are permitted, provided the license notices and NOTICE file stay intact and significant changes are stated. Two checks before committing. The files ship in pytorch format only, and the publisher's note says the segmentation models get classified as unsafe because getattr counts as a dangerous pickle function, so take them from the publisher and nowhere else. The last update was November 21, 2024, so pin the version you validate.
Model Card
By Dowon Hwang, published under apache-2.0, revision 53cc19de3820.
YOLOv8 Detection Model
Datasets
Face
Hand
Person
- coco2017 (only person)
- AniSeg
- skytnt/anime-segmentation
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
Identity and Version
- Repository
- Bingsu/adetailer
- Publisher
- Dowon Hwang
- Task
- Not stated by the source
- Modality
- Other
- Library
- ultralytics
- Parameters
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- 53cc19de382014514d9d4038601d261a7faa9b7b
- First published
- 2023-04-26
- Last updated
- 2024-11-21
Files and Weights
14 files, 328.3 MB in total. The weights are 12 files totalling 328.3 MB in pt.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| deepfashion2_yolov8s-seg.pt | Weights | 23.9 MB | c319c15e8644 |
| face_yolov8m.pt | Weights | 52.0 MB | 717923c19b3f |
| face_yolov8n.pt | Weights | 6.2 MB | 70b640f8f60b |
| face_yolov8n_v2.pt | Weights | 6.2 MB | 8f5f2110f83c |
| face_yolov8s.pt | Weights | 22.5 MB | c7237eff2578 |
| face_yolov9c.pt | Weights | 51.6 MB | d02fe493c31e |
| hand_yolov8n.pt | Weights | 6.2 MB | 3991202eb69e |
| hand_yolov8s.pt | Weights | 22.5 MB | 70b540063fbc |
| hand_yolov9c.pt | Weights | 51.6 MB | 6f116f686ef5 |
| person_yolov8m-seg.pt | Weights | 54.8 MB | c8ab26f51717 |
| person_yolov8n-seg.pt | Weights | 6.8 MB | 38fc8aaae97c |
| person_yolov8s-seg.pt | Weights | 23.9 MB | 53c54aec2239 |
| README.md | Documentation | 4.0 KB | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- apache-2.0
- Access
- Open weights, no gate
- Download size
- 328.3 MB
Released by Dowon Hwang through its official repository on Hugging Face. Read the license.
Built From
- Trained on (disclosed) skytnt/anime-segmentation
- Trained on (disclosed) wider_face
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 328.3 MB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About adetailer
Can I use adetailer commercially?
Yes. adetailer is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.