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CHANGELOG.md

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+# Changelog
+
+## 2024-09-02
+
+- v24.9.0
+- Dynamic Denoising, Inpaint bbox sizing 기능 (PR #678)
+- `ad_save_images_dir` 옵션 추가 - ad 이미지를 저장하는 장소 지정 (PR #689)
+
+- forge와 관련된 버그 몇 개 수정
+- pydantic validation에 실패해도 에러를 일으키지 않고 넘어가도록 수정
+
+## 2024-08-03
+
+- v24.8.0
+- 샘플러 선택칸에 Use same sampler 옵션 추가
+- 컨트롤넷 유니온 모델을 선택할 수 있게 함
+
+- webui 1.9.0이상에서 기본 스케줄러가 설정되지 않던 문제 수정
+- issus #656의 문제 해결을 위해 v24.4.0에 적용되었던 프롬프트 표시 기능을 되돌림
+- mediapipe에서 에러가 발생하면 추론이 실패한 것으로 처리하고 조용히 넘어감
+
+## 2024-06-16
+
+- v24.6.0
+- webui 1.6.0 미만 버전을 위한 기능들을 제거하고, 최소 버전을 1.6.0으로 올림
+- 허깅페이스 연결을 체크하는데 1초만 소요되도록 함
+  - 허깅페이스 미러 (hf-mirror.com)도 체크함 (합쳐서 2초)
+- InputAccordion을 적용함
+
+## 2024-05-20
+
+- v24.5.1
+- uv를 사용하지 않게 함
+- 모든 허깅페이스 모델을 동시에 다운로드 시도함
+- 기본 탭 수를 2에서 4로 변경
+
+## 2024-05-19
+
+- v24.5.0
+- 개별 탭 활성화/비활성화 체크박스 추가
+- ad_extra_model_dir 옵션에 |로 구분된 여러 디렉토리를 추가할 수 있게 함 (PR #596)
+- `hypertile` 빌트인 확장이 지원되도록 함
+- 항상 cond 캐시를 비움
+- 설치 스크립트에 uv를 사용함
+- mediapipe 최소 버전을 올려 protobuf 버전 4를 사용하게 함
+
+## 2024-04-17
+
+- v24.4.2
+- `params.txt` 파일이 없을 때 에러가 발생하지 않도록 수정
+- 파이썬 3.9 이하에서 유니온 타입 에러 방지
+
+## 2024-04-14
+
+- v24.4.1
+- webui 1.9.0에서 발생한 에러 수정
+  - extra generation params에 callable이 들어와서 생긴 문제
+  - assign_current_image에 None이 들어갈 수 있던 문제
+- webui 1.9.0에서 변경된 scheduler 지원
+- 컨트롤넷 모델을 찾을 때, 대소문자 구분을 하지 않음 (PR #577)
+- 몇몇 기능을 스크립트에서 분리하여 별도 파일로 빼냄
+
+## 2024-04-10
+
+- v24.4.0
+- txt2img에서 hires를 설정했을 때, 이미지의 exif에서 Denoising Strength가 adetailer의 denoisiog stregnth로 덮어 쓰이는 문제 수정
+- ad prompt, ad negative prompt에 프롬프트를 변경하는 기능을 적용했을 때(와일드카드 등), 적용된 프롬프트가 이미지의 exif에 제대로 표시됨
+
+## 2024-03-29
+
+- v24.3.5
+- 알 수 없는 이유로 인페인팅을 확인하는 과정에서 Txt2Img 인스턴스가 들어오는 문제에 대한 임시 해결
+
+## 2024-03-28
+
+- v24.3.4
+- 인페인트에서, 이미지 해상도가 16의 배수가 아닐 때 사이즈 불일치로 인한 opencv 에러 방지
+
+## 2024-03-25
+
+- v24.3.3
+- webui 1.6.0 미만 버전에서 create_binary_mask 함수에 대해 ImportError가 발생하는 것 수정
+
+## 2024-03-21
+
+- v24.3.2
+- UI를 거치지 않은 입력에 대해, image_mask를 입력했을 때 opencv 에러가 발생하는 것 수정
+- img2img inpaint에서 skip img2img 옵션을 활성화할 경우, adetailer를 비활성화함
+  - 마스크 크기에 대해 해결하기 힘든 문제가 있음
+
+## 2024-03-16
+
+- v24.3.1
+- YOLO World v2, YOLO9 지원가능한 버전으로 ultralytics 업데이트
+- inpaint full res인 경우 인페인트 모드에서 동작하게 변경
+- inpaint full res가 아닌 경우, 사용자가 입력한 마스크와 교차점이 있는 마스크만 선택하여 사용함
+
+## 2024-03-01
+
+- v24.3.0
+- YOLO World 모델 추가: 가장 큰 yolov8x-world.pt 모델만 기본적으로 선택할 수 있게 함.
+- lllyasviel/stable-diffusion-webui-forge에서 컨트롤넷을 사용가능하게 함 (PR #517)
+- 기본 스크립트 목록에 soft_inpainting 추가 (https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14208)
+
+  - 기존에 설치한 사람에게 소급적용되지는 않음
+
+- 감지모델에 대한 간단한 pytest 추가함
+- xyz grid 컨트롤넷 모델 옵션에 `Passthrough` 추가함
+
+## 2024-01-23
+
+- v24.1.2
+- controlnet 모델에 `Passthrough` 옵션 추가. 입력으로 들어온 컨트롤넷 옵션을 그대로 사용
+- fastapi 엔드포인트 추가
+
+## 2024-01-10
+
+- v24.1.1
+- SDNext 호환 업데이트 (issue #466)
+  - 설정 값 state에 초기값 추가
+  - 위젯 값을 변경할 때마다 state도 변경되게 함 (기존에는 생성 버튼을 누를 때 적용되었음)
+- `inpaint_depth_hand` 컨트롤넷 모델이 depth 모델로 인식되게 함 (issue #463)
+
+## 2024-01-04
+
+- v24.1.0
+- `depth_hand_refiner` ControlNet 추가 (PR #460)
+
+## 2023-12-30
+
+- v23.12.0
+- 파일을 인자로 추가하는 몇몇 스크립트에 대해 deepcopy의 에러를 피하기 위해 script_args 복사 방법을 변경함
+- skip img2img 기능을 사용할 때 너비, 높이를 128로 고정하여 스킵 과정이 조금 더 나아짐
+- img2img inpainting 모드에서 adetailer 자동 비활성화
+- 처음 생성된 params.txt 파일을 항상 유지하도록 변경함
+
+## 2023-11-19
+
+- v23.11.1
+- 기본 스크립트 목록에 negpip 추가
+  - 기존에 설치한 사람에게 소급적용되지는 않음
+- skip img2img 옵션이 2스텝 이상일 때, 제대로 적용되지 않는 문제 수정
+- SD.Next에서 이미지가 np.ndarray로 입력되는 경우 수정
+- 컨트롤넷 경로를 sys.path에 추가하여 --data-dir등을 지정한 경우에도 임포트 에러가 일어나지 않게 함.
+
+## 2023-10-30
+
+- v23.11.0
+- 이미지의 인덱스 계산방법 변경
+  - webui 1.1.0 미만에서 adetailer 실행 불가능하게 함
+- 컨트롤넷 preprocessor 선택지 늘림
+- 추가 yolo 모델 디렉터리를 설정할 수 있는 옵션 추가
+- infotext에 `/`가 있는 항목이 exif에서 복원되지 않는 문제 수정
+  - 이전 버전에 생성된 이미지는 여전히 복원안됨
+- 같은 탭에서 항상 같은 시드를 적용하게 하는 옵션 추가
+- 컨트롤넷 1.1.411 (f2aafcf2beb99a03cbdf7db73852228ccd6bd1d6) 버전을 사용중일 경우,
+  webui 버전 1.6.0 미만에서 사용할 수 없다는 메세지 출력
+
+## 2023-10-15
+
+- v23.10.1
+- xyz grid에 prompt S/R 추가
+- img2img에서 steps가 1일때 에러가 발생하는 샘플러의 처리를 위해 샘플러 이름도 변경하게 수정
+
+## 2023-10-07
+
+- v23.10.0
+- 허깅페이스 모델을 다운로드 실패했을 때, 계속 다운로드를 시도하지 않음
+- img2img에서 img2img단계를 건너뛰는 기능 추가
+- live preview에서 감지 단계를 보여줌 (PR #352)
+
+## 2023-09-20
+
+- v23.9.3
+- ultralytics 버전 8.0.181로 업데이트 (https://github.com/ultralytics/ultralytics/pull/4891)
+- mediapipe와 ultralytics의 lazy import
+
+## 2023-09-10
+
+- v23.9.2
+- (실험적) VAE 선택 기능
+
+## 2023-09-01
+
+- v23.9.1
+- webui 1.6.0에 추가된 인자를 사용해서 생긴 하위 호환 문제 수정
+
+## 2023-08-31
+
+- v23.9.0
+- (실험적) 체크포인트 선택기능
+  - 버그가 있어 리프레시 버튼은 구현에서 빠짐
+- 1.6.0 업데이트에 따라 img2img에서 사용불가능한 샘플러를 선택했을 때 더이상 Euler로 변경하지 않음
+- 유효하지 않은 인자가 전달되었을 때, 에러를 일으키지 않고 대신 adetailer를 비활성화함
+
+## 2023-08-25
+
+- v23.8.1
+- xyz grid에서 model을 `None`으로 설정한 이후에 adetailer가 비활성화 되는 문제 수정
+- skip을 눌렀을 때 진행을 멈춤
+- `--medvram-sdxl`을 설정했을 때에도 cpu를 사용하게 함
+
+## 2023-08-14
+
+- v23.8.0
+- `[PROMPT]` 키워드 추가. `ad_prompt` 또는 `ad_negative_prompt`에 사용하면 입력 프롬프트로 대체됨 (PR #243)
+- Only top k largest 옵션 추가 (PR #264)
+- ultralytics 버전 업데이트
+
+## 2023-07-31
+
+- v23.7.11
+- separate clip skip 옵션 추가
+- install requirements 정리 (ultralytics 새 버전, mediapipe~=3.20)
+
+## 2023-07-28
+
+- v23.7.10
+- ultralytics, mediapipe import문 정리
+- traceback에서 컬러를 없앰 (api 때문), 라이브러리 버전도 보여주게 설정.
+- huggingface_hub, pydantic을 install.py에서 없앰
+- 안쓰는 컨트롤넷 관련 코드 삭제
+
+## 2023-07-23
+
+- v23.7.9
+- `ultralytics.utils` ModuleNotFoundError 해결 (https://github.com/ultralytics/ultralytics/issues/3856)
+- `pydantic` 2.0 이상 버전 설치안되도록 함
+- `controlnet_dir` cmd args 문제 수정 (PR #107)
+
+## 2023-07-20
+
+- v23.7.8
+- `paste_field_names` 추가했던 것을 되돌림
+
+## 2023-07-19
+
+- v23.7.7
+- 인페인팅 단계에서 별도의 샘플러를 선택할 수 있게 옵션을 추가함 (xyz그리드에도 추가)
+- webui 1.0.0-pre 이하 버전에서 batch index 문제 수정
+- 스크립트에 `paste_field_names`을 추가함. 사용되는지는 모르겠음
+
+## 2023-07-16
+
+- v23.7.6
+- `ultralytics 8.0.135`에 추가된 cpuinfo 기능을 위해 `py-cpuinfo`를 미리 설치하게 함. (미리 설치 안하면 cpu나 mps사용할 때 재시작해야함)
+- init_image가 RGB 모드가 아닐 때 RGB로 변경.
+
+## 2023-07-07
+
+- v23.7.4
+- batch count > 1일때 프롬프트의 인덱스 문제 수정
+
+- v23.7.5
+- i2i의 `cached_uc`와 `cached_c`가 p의 `cached_uc`와 `cached_c`가 다른 인스턴스가 되도록 수정
+
+## 2023-07-05
+
+- v23.7.3
+- 버그 수정
+  - `object()`가 json 직렬화 안되는 문제
+  - `process`를 호출함에 따라 배치 카운트가 2이상일 때, all_prompts가 고정되는 문제
+  - `ad-before`와 `ad-preview` 이미지 파일명이 실제 파일명과 다른 문제
+  - pydantic 2.0 호환성 문제
+
+## 2023-07-04
+
+- v23.7.2
+- `mediapipe_face_mesh_eyes_only` 모델 추가: `mediapipe_face_mesh`로 감지한 뒤 눈만 사용함.
+- 매 배치 시작 전에 `scripts.postprocess`를, 후에 `scripts.process`를 호출함.
+  - 컨트롤넷을 사용하면 소요 시간이 조금 늘��나지만 몇몇 문제 해결에 도움이 됨.
+- `lora_block_weight`를 스크립트 화이트리스트에 추가함.
+  - 한번이라도 ADetailer를 사용한 사람은 수동으로 추가해야함.
+
+## 2023-07-03
+
+- v23.7.1
+- `process_images`를 진행한 뒤 `StableDiffusionProcessing` 오브젝트의 close를 호출함
+- api 호출로 사용했는지 확인하는 속성 추가
+- `NansException`이 발생했을 때 중지하지 않고 남은 과정 계속 진행함
+
+## 2023-07-02
+
+- v23.7.0
+- `NansException`이 발생하면 로그에 표시하고 원본 이미지를 반환하게 설정
+- `rich`를 사용한 에러 트레이싱
+  - install.py에 `rich` 추가
+- 생성 중에 컴포넌트의 값을 변경하면 args의 값도 함께 변경되는 문제 수정 (issue #180)
+- 터미널 로그로 ad_prompt와 ad_negative_prompt에 적용된 실제 프롬프트 확인할 수 있음 (입력과 다를 경우에만)
+
+## 2023-06-28
+
+- v23.6.4
+- 최대 모델 수 5 -> 10개
+- ad_prompt와 ad_negative_prompt에 빈칸으로 놔두면 입력 프롬프트가 사용된다는 문구 추가
+- huggingface 모델 다운로드 실패시 로깅
+- 1st 모델이 `None`일 경우 나머지 입력을 무시하던 문제 수정
+- `--use-cpu` 에 `adetailer` 입력 시 cpu로 yolo모델을 사용함
+
+## 2023-06-20
+
+- v23.6.3
+- 컨트롤넷 inpaint 모델에 대해, 3가지 모듈을 사용할 수 있도록 함
+- Noise Multiplier 옵션 추가 (PR #149)
+- pydantic 최소 버전 1.10.8로 설정 (Issue #146)
+
+## 2023-06-05
+
+- v23.6.2
+- xyz_grid에서 ADetailer를 사용할 수 있게함.
+  - 8가지 옵션만 1st 탭에 적용되도록 함.
+
+## 2023-06-01
+
+- v23.6.1
+- `inpaint, scribble, lineart, openpose, tile` 5가지 컨트롤넷 모델 지원 (PR #107)
+- controlnet guidance start, end 인자 추가 (PR #107)
+- `modules.extensions`를 사용하여 컨트롤넷 확장을 불러오고 경로를 알아내로록 변경
+- ui에서 컨트롤넷을 별도 함수로 분리
+
+## 2023-05-30
+
+- v23.6.0
+- 스크립트의 이름을 `After Detailer`에서 `ADetailer`로 변경
+  - API 사용자는 변경 필요함
+- 몇몇 설정 변경
+  - `ad_conf` → `ad_confidence`. 0~100 사이의 int → 0.0~1.0 사이의 float
+  - `ad_inpaint_full_res` → `ad_inpaint_only_masked`
+  - `ad_inpaint_full_res_padding` → `ad_inpaint_only_masked_padding`
+- mediapipe face mesh 모델 추가
+
+  - mediapipe 최소 버전 `0.10.0`
+
+- rich traceback 제거함
+- huggingface 다운로드 실패할 때 에러가 나지 않게 하고 해당 모델을 제거함
+
+## 2023-05-26
+
+- v23.5.19
+- 1번째 탭에도 `None` 옵션을 추가함
+- api로 ad controlnet model에 inpaint가 아닌 다른 컨트롤넷 모델을 사용하지 못하도록 막음
+- adetailer 진행중에 total tqdm 진행바 업데이트를 멈춤
+- state.inturrupted 상태에서 adetailer 과정을 중지함
+- 컨트롤넷 process를 각 batch가 끝난 순간에만 호출하도록 변경
+
+### 2023-05-25
+
+- v23.5.18
+- 컨트롤넷 관련 수정
+  - unit의 `input_mode`를 `SIMPLE`로 모두 변경
+  - 컨트롤넷 유넷 훅과 하이잭 함수들을 adetailer를 실행할 때에만 되돌리는 기능 추가
+  - adetailer 처리가 끝난 뒤 컨트롤넷 스크립트의 process를 다시 진행함. (batch count 2 이상일때의 문제 해결)
+- 기본 활성 스크립트 목록에서 컨트롤넷을 뺌
+
+### 2023-05-22
+
+- v23.5.17
+- 컨트롤넷 확장이 있으면 컨트롤넷 스크립트를 활성화함. (컨트롤넷 관련 문제 해결)
+- 모든 컴포넌트에 elem_id 설정
+- ui에 버전을 표시함
+
+### 2023-05-19
+
+- v23.5.16
+- 추가한 옵션
+  - Mask min/max ratio
+  - Mask merge mode
+  - Restore faces after ADetailer
+- 옵션들을 Accordion으로 묶음
+
+### 2023-05-18
+
+- v23.5.15
+- 필요한 것만 임포트하도록 변경 (vae 로딩 오류 없어짐. 로딩 속도 빨라짐)
+
+### 2023-05-17
+
+- v23.5.14
+- `[SKIP]`으로 ad prompt 일부를 건너뛰는 기능 추가
+- bbox 정렬 옵션 추가
+- sd_webui 타입힌트를 만들어냄
+- enable checker와 관련된 api 오류 수정?
+
+### 2023-05-15
+
+- v23.5.13
+- `[SEP]`으로 ad prompt를 분리하여 적용하는 기능 추가
+- enable checker를 다시 pydantic으로 변경함
+- ui 관련 함수를 adetailer.ui 폴더로 분리함
+- controlnet을 사용할 때 모든 controlnet unit 비활성화
+- adetailer 폴더가 없으면 만들게 함
+
+### 2023-05-13
+
+- v23.5.12
+- `ad_enable`을 제외한 입력이 dict타입으로 들어오도록 변경
+  - web api로 사용할 때에 특히 사용하기 쉬움
+  - web api breaking change
+- `mask_preprocess` 인자를 넣지 않았던 오류 수정 (PR #47)
+- huggingface에서 모델을 다운로드하지 않는 옵션 추가 `--ad-no-huggingface`
+
+### 2023-05-12
+
+- v23.5.11
+- `ultralytics` 알람 제거
+- 필요없는 exif 인자 더 제거함
+- `use separate steps` 옵션 추가
+- ui 배치를 조정함
+
+### 2023-05-09
+
+- v23.5.10
+- 선택한 스크립트만 ADetailer에 적용하는 옵션 추가, 기본값 `True`. 설정 탭에서 지정가능.
+  - 기본값: `dynamic_prompting,dynamic_thresholding,wildcards,wildcard_recursive`
+- `person_yolov8s-seg.pt` 모델 추가
+- `ultralytics`의 최소 버전을 `8.0.97`로 설정 (C:\\ 문제 해결된 버전)
+
+### 2023-05-08
+
+- v23.5.9
+- 2가지 이상의 모델을 사용할 수 있음. 기본값: 2, 최대: 5
+- segment 모델을 사용할 수 있게 함. `person_yolov8n-seg.pt` 추가
+
+### 2023-05-07
+
+- v23.5.8
+- 프롬프트와 네거티브 프롬프트에 방향키 지원 (PR #24)
+- `mask_preprocess`를 추가함. 이전 버전과 시드값이 달라질 가능성 있음!
+- 이미지 처리가 일어났을 때에만 before이미지를 저장함
+- 설정창의 레이블을 ADetailer 대신 더 적절하게 수정함
+
+### 2023-05-06
+
+- v23.5.7
+- `ad_use_cfg_scale` 옵션 추가. cfg 스케일을 따로 사용할지 말지 결정함.
+- `ad_enable` 기본값을 `True`에서 `False`로 변경
+- `ad_model`의 기본값을 `None`에서 첫번째 모델로 변경
+- 최소 2개의 입력(ad_enable, ad_model)만 들어오면 작동하게 변경.
+
+- v23.5.7.post0
+- `init_controlnet_ext`을 controlnet_exists == True일때에만 실행
+- webui를 C드라이브 바로 밑에 설치한 사람들에게 `ultralytics` 경고 표시
+
+### 2023-05-05 (어린이날)
+
+- v23.5.5
+- `Save images before ADetailer` 옵션 추가
+- 입력으로 들어온 인자와 ALL_ARGS의 길이가 다르면 에러메세지
+- README.md에 설치방법 추가
+
+- v23.5.6
+- get_args에서 IndexError가 발생하면 자세한 에러메세지를 볼 수 있음
+- AdetailerArgs에 extra_params 내장
+- scripts_args를 딥카피함
+- postprocess_image를 약간 분리함
+
+- v23.5.6.post0
+- `init_controlnet_ext`에서 에러메세지를 자세히 볼 수 있음
+
+### 2023-05-04
+
+- v23.5.4
+- use pydantic for arguments validation
+- revert: ad_model to `None` as default
+- revert: `__future__` imports
+- lazily import yolo and mediapipe
+
+### 2023-05-03
+
+- v23.5.3.post0
+- remove `__future__` imports
+- change to copy scripts and scripts args
+
+- v23.5.3.post1
+- change default ad_model from `None`
+
+### 2023-05-02
+
+- v23.5.3
+- Remove `None` from model list and add `Enable ADetailer` checkbox.
+- install.py `skip_install` fix.

LICENSE (1).md

@@ -0,0 +1,82 @@
+**FLUX.1 \[dev\] Non-Commercial License** 
+
+Black Forest Labs, Inc. (“**we**” or “**our**” or “**Company**”) is pleased to make available the weights, parameters and inference code for the FLUX.1 \[dev\] Model (as defined below) freely available for your non-commercial and non-production use as set forth in this FLUX.1 \[dev\] Non-Commercial License (“**License**”).  The “**FLUX.1 \[dev\] Model**” means the FLUX.1 \[dev\] text-to-image AI model and its elements which includes algorithms, software, checkpoints, parameters, source code (inference code, evaluation code, and if applicable, fine-tuning code) and any other materials associated with the FLUX.1 \[dev\] AI model made available by Company under this License, including if any, the technical documentation, manuals and instructions for the use and operation thereof (collectively, “**FLUX.1 \[dev\] Model**”). 
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+
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+

README (11).md

@@ -0,0 +1,118 @@
+# ADetailer
+
+ADetailer is an extension for the stable diffusion webui that does automatic masking and inpainting. It is similar to the Detection Detailer.
+
+## Install
+
+You can install it directly from the Extensions tab.
+
+![image](https://i.imgur.com/qaXtoI6.png)
+
+Or
+
+(from Mikubill/sd-webui-controlnet)
+
+1. Open "Extensions" tab.
+2. Open "Install from URL" tab in the tab.
+3. Enter `https://github.com/Bing-su/adetailer.git` to "URL for extension's git repository".
+4. Press "Install" button.
+5. Wait 5 seconds, and you will see the message "Installed into stable-diffusion-webui\extensions\adetailer. Use Installed tab to restart".
+6. Go to "Installed" tab, click "Check for updates", and then click "Apply and restart UI". (The next time you can also use this method to update extensions.)
+7. Completely restart A1111 webui including your terminal. (If you do not know what is a "terminal", you can reboot your computer: turn your computer off and turn it on again.)
+
+## Options
+
+| Model, Prompts                    |                                                                                    |                                                                                                                                                        |
+| --------------------------------- | ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------ |
+| ADetailer model                   | Determine what to detect.                                                          | `None` = disable                                                                                                                                       |
+| ADetailer model classes           | Comma separated class names to detect. only available when using YOLO World models | If blank, use default values.<br/>default = [COCO 80 classes](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco.yaml) |
+| ADetailer prompt, negative prompt | Prompts and negative prompts to apply                                              | If left blank, it will use the same as the input.                                                                                                      |
+| Skip img2img                      | Skip img2img. In practice, this works by changing the step count of img2img to 1.  | img2img only                                                                                                                                           |
+
+| Detection                            |                                                                                              |              |
+| ------------------------------------ | -------------------------------------------------------------------------------------------- | ------------ |
+| Detection model confidence threshold | Only objects with a detection model confidence above this threshold are used for inpainting. |              |
+| Mask min/max ratio                   | Only use masks whose area is between those ratios for the area of the entire image.          |              |
+| Mask only the top k largest          | Only use the k objects with the largest area of the bbox.                                    | 0 to disable |
+
+If you want to exclude objects in the background, try setting the min ratio to around `0.01`.
+
+| Mask Preprocessing              |                                                                                                                                     |                                                                                         |
+| ------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------- |
+| Mask x, y offset                | Moves the mask horizontally and vertically by                                                                                       |                                                                                         |
+| Mask erosion (-) / dilation (+) | Enlarge or reduce the detected mask.                                                                                                | [opencv example](https://docs.opencv.org/4.7.0/db/df6/tutorial_erosion_dilatation.html) |
+| Mask merge mode                 | `None`: Inpaint each mask<br/>`Merge`: Merge all masks and inpaint<br/>`Merge and Invert`: Merge all masks and Invert, then inpaint |                                                                                         |
+
+Applied in this order: x, y offset → erosion/dilation → merge/invert.
+
+#### Inpainting
+
+Each option corresponds to a corresponding option on the inpaint tab. Therefore, please refer to the inpaint tab for usage details on how to use each option.
+
+## ControlNet Inpainting
+
+You can use the ControlNet extension if you have ControlNet installed and ControlNet models.
+
+Support `inpaint, scribble, lineart, openpose, tile, depth` controlnet models. Once you choose a model, the preprocessor is set automatically. It works separately from the model set by the Controlnet extension.
+
+If you select `Passthrough`, the controlnet settings you set outside of ADetailer will be used.
+
+## Advanced Options
+
+API request example: [wiki/REST-API](https://github.com/Bing-su/adetailer/wiki/REST-API)
+
+`[SEP], [SKIP], [PROMPT]` tokens: [wiki/Advanced](https://github.com/Bing-su/adetailer/wiki/Advanced)
+
+## Media
+
+- 🎥 [どこよりも詳しい After Detailer (adetailer)の使い方 ① 【Stable Diffusion】](https://youtu.be/sF3POwPUWCE)
+- 🎥 [どこよりも詳しい After Detailer (adetailer)の使い方 ② 【Stable Diffusion】](https://youtu.be/urNISRdbIEg)
+
+- 📜 [ADetailer Installation and 5 Usage Methods](https://kindanai.com/en/manual-adetailer/)
+
+## Model
+
+| Model                 | Target                | mAP 50                        | mAP 50-95                     |
+| --------------------- | --------------------- | ----------------------------- | ----------------------------- |
+| face_yolov8n.pt       | 2D / realistic face   | 0.660                         | 0.366                         |
+| face_yolov8s.pt       | 2D / realistic face   | 0.713                         | 0.404                         |
+| hand_yolov8n.pt       | 2D / realistic hand   | 0.767                         | 0.505                         |
+| person_yolov8n-seg.pt | 2D / realistic person | 0.782 (bbox)<br/>0.761 (mask) | 0.555 (bbox)<br/>0.460 (mask) |
+| person_yolov8s-seg.pt | 2D / realistic person | 0.824 (bbox)<br/>0.809 (mask) | 0.605 (bbox)<br/>0.508 (mask) |
+| mediapipe_face_full   | realistic face        | -                             | -                             |
+| mediapipe_face_short  | realistic face        | -                             | -                             |
+| mediapipe_face_mesh   | realistic face        | -                             | -                             |
+
+The YOLO models can be found on huggingface [Bingsu/adetailer](https://huggingface.co/Bingsu/adetailer).
+
+For a detailed description of the YOLO8 model, see: https://docs.ultralytics.com/models/yolov8/#overview
+
+YOLO World model: https://docs.ultralytics.com/models/yolo-world/
+
+### Additional Model
+
+Put your [ultralytics](https://github.com/ultralytics/ultralytics) yolo model in `models/adetailer`. The model name should end with `.pt`.
+
+It must be a bbox detection or segment model and use all label.
+
+## How it works
+
+ADetailer works in three simple steps.
+
+1. Create an image.
+2. Detect object with a detection model and create a mask image.
+3. Inpaint using the image from 1 and the mask from 2.
+
+## Development
+
+ADetailer is developed and tested using the stable-diffusion 1.5 model, for the latest version of [AUTOMATIC1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) repository only.
+
+## License
+
+ADetailer is a derivative work that uses two AGPL-licensed works (stable-diffusion-webui, ultralytics) and is therefore distributed under the AGPL license.
+
+## See Also
+
+- https://github.com/ototadana/sd-face-editor
+- https://github.com/continue-revolution/sd-webui-segment-anything
+- https://github.com/portu-sim/sd-webui-bmab

gitattributes (11)

@@ -0,0 +1,38 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+*.sft filter=lfs diff=lfs merge=lfs -text
+grid.png filter=lfs diff=lfs merge=lfs -text
+dev_grid.jpg filter=lfs diff=lfs merge=lfs -text

install.py

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+from __future__ import annotations
+
+import importlib.util
+import subprocess
+import sys
+from importlib.metadata import version  # python >= 3.8
+
+from packaging.version import parse
+
+import_name = {"py-cpuinfo": "cpuinfo", "protobuf": "google.protobuf"}
+
+
+def is_installed(
+    package: str, min_version: str | None = None, max_version: str | None = None
+):
+    name = import_name.get(package, package)
+    try:
+        spec = importlib.util.find_spec(name)
+    except ModuleNotFoundError:
+        return False
+
+    if spec is None:
+        return False
+
+    if not min_version and not max_version:
+        return True
+
+    if not min_version:
+        min_version = "0.0.0"
+    if not max_version:
+        max_version = "99999999.99999999.99999999"
+
+    try:
+        pkg_version = version(package)
+        return parse(min_version) <= parse(pkg_version) <= parse(max_version)
+    except Exception:
+        return False
+
+
+def run_pip(*args):
+    subprocess.run([sys.executable, "-m", "pip", "install", *args], check=True)
+
+
+def install():
+    deps = [
+        # requirements
+        ("ultralytics", "8.2.0", None),
+        ("mediapipe", "0.10.13", None),
+        ("rich", "13.0.0", None),
+    ]
+
+    pkgs = []
+    for pkg, low, high in deps:
+        if not is_installed(pkg, low, high):
+            if low and high:
+                cmd = f"{pkg}>={low},<={high}"
+            elif low:
+                cmd = f"{pkg}>={low}"
+            elif high:
+                cmd = f"{pkg}<={high}"
+            else:
+                cmd = pkg
+            pkgs.append(cmd)
+
+    if pkgs:
+        run_pip(*pkgs)
+
+
+try:
+    import launch
+
+    skip_install = launch.args.skip_install
+except Exception:
+    skip_install = False
+
+if not skip_install:
+    install()

pre-commit-config (1).yaml

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+ci:
+  autoupdate_branch: "dev"
+
+exclude: ^modules/
+
+repos:
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.6.0
+    hooks:
+      - id: check-added-large-files
+        args: [--maxkb=100]
+      - id: check-merge-conflict
+      - id: check-case-conflict
+      - id: check-ast
+      - id: check-yaml
+      - id: trailing-whitespace
+        args: [--markdown-linebreak-ext=md]
+      - id: end-of-file-fixer
+      - id: mixed-line-ending
+
+  - repo: https://github.com/rbubley/mirrors-prettier
+    rev: v3.3.3
+    hooks:
+      - id: prettier
+
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.5.7
+    hooks:
+      - id: ruff
+        args: [--fix, --exit-non-zero-on-fix]
+      - id: ruff-format

pre-commit-config.yaml

@@ -0,0 +1,31 @@
+ci:
+  autoupdate_branch: "dev"
+
+exclude: ^modules/
+
+repos:
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.6.0
+    hooks:
+      - id: check-added-large-files
+        args: [--maxkb=100]
+      - id: check-merge-conflict
+      - id: check-case-conflict
+      - id: check-ast
+      - id: check-yaml
+      - id: trailing-whitespace
+        args: [--markdown-linebreak-ext=md]
+      - id: end-of-file-fixer
+      - id: mixed-line-ending
+
+  - repo: https://github.com/rbubley/mirrors-prettier
+    rev: v3.3.3
+    hooks:
+      - id: prettier
+
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.5.7
+    hooks:
+      - id: ruff
+        args: [--fix, --exit-non-zero-on-fix]
+      - id: ruff-format

pyproject.toml

@@ -0,0 +1,83 @@
+[project]
+name = "adetailer"
+description = "An object detection and auto-mask extension for stable diffusion webui."
+authors = [{ name = "dowon", email = "[email protected]" }]
+requires-python = ">=3.9"
+readme = "README.md"
+license = { text = "AGPL-3.0" }
+dependencies = [
+    "ultralytics>=8.2",
+    "mediapipe>=0.10.13",
+    "pydantic<3",
+    "rich>=13",
+    "huggingface_hub",
+]
+keywords = [
+    "stable-diffusion",
+    "stable-diffusion-webui",
+    "adetailer",
+    "ultralytics",
+]
+classifiers = [
+    "License :: OSI Approved :: GNU Affero General Public License v3",
+    "Topic :: Scientific/Engineering :: Image Recognition",
+]
+dynamic = ["version"]
+
+[project.urls]
+repository = "https://github.com/Bing-su/adetailer"
+
+[project.optional-dependencies]
+dev = ["ruff", "pre-commit", "devtools"]
+test = ["pytest", "hypothesis"]
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.version]
+path = "adetailer/__version__.py"
+
+[tool.isort]
+profile = "black"
+known_first_party = ["launch", "modules"]
+
+[tool.ruff]
+target-version = "py39"
+extend-exclude = ["modules"]
+
+[tool.ruff.lint]
+select = [
+    "A",
+    "B",
+    "C4",
+    "C90",
+    "E",
+    "EM",
+    "F",
+    "FA",
+    "I001",
+    "ISC",
+    "N",
+    "PD",
+    "PERF",
+    "PL",
+    "PIE",
+    "PT",
+    "PTH",
+    "RET",
+    "RUF",
+    "SIM",
+    "T20",
+    "TRY",
+    "UP",
+    "W",
+]
+ignore = ["B905", "E501", "PLR2004", "PLW0603"]
+unfixable = ["F401"]
+
+[tool.ruff.lint.isort]
+known-first-party = ["launch", "modules"]
+
+[tool.ruff.lint.pyupgrade]
+keep-runtime-typing = true