# Bing-su/adetailer

Auto detecting, masking and inpainting with detection model.

Repository: https://github.com/Bing-su/adetailer
Canonical: https://ross.abutalabs.com/products/adetailer
Language: Python
License: AGPL-3.0
License Family: copyleft
Topics: sd-webui, stable-diffusion-webui, stable-diffusion-webui-plugin
Last push: 2026-08-24T21:38:42+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 87
- inputs: {"age_days": 1225, "days_push": 9, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4781, forks 392 (observed 2026-08-28T04:08:59.630559+00:00)

## What it is
ADetailer is an extension for the Stable Diffusion WebUI (A1111) that automatically detects objects such as faces and hands in generated images, creates masks, and inpaints them using detection models like YOLO. It improves detail quality in AI-generated images without manual masking.

## Use cases
- automatically fix faces in stable diffusion images
- detect and inpaint hands in AI-generated art
- auto-mask objects for img2img refinement
- improve eye and face detail in sd webui outputs
- run detection models like YOLO on generated images
- apply separate prompts to detected regions

## When to choose
- you use the A1111 stable diffusion webui and want automatic detail fixes
- you need hands-free masking and inpainting of faces or hands
- you want per-region prompts applied to detected objects

## When to avoid
- you use ComfyUI or another pipeline instead of the A1111 webui
- you need fully manual mask control
- you are not generating images with stable diffusion

## Facets
- artifact type: plugin
- maturity: active
- function: image-processing, computer-vision, machine-learning
- domain: image-processing, artificial-intelligence, web-development
- platform: python, cross-platform
- tags: stable-diffusion, sd-webui-extension, inpainting, object-detection, yolo, automatic-masking

## Member repositories
- Bing-su/adetailer (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:59.630559+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:18:43.827645+00:00, confidence not recorded.
  - readme: https://github.com/Bing-su/adetailer (fetched 2026-08-28T04:08:59.630559+00:00, sha d5e5b3530ad8)
  - registry_pypi: https://pypi.org/pypi/adetailer/json (fetched 2026-08-29T09:01:55.884512+00:00, sha 97fa457c377e)
- Data as of 2026-08-30T08:39:29.467469+00:00.