diff --git a/3-bmab/.gitignore b/3-bmab/.gitignore deleted file mode 100644 index 5ef948413f1b4fce8f0fc2930704133a167ee0f2..0000000000000000000000000000000000000000 --- a/3-bmab/.gitignore +++ /dev/null @@ -1,2 +0,0 @@ -**/__pycache__/ -cache/ diff --git a/3-bmab/LICENSE.txt b/3-bmab/LICENSE.txt deleted file mode 100644 index 211d32e752cb61bd056436e8f7a806f12a626bb7..0000000000000000000000000000000000000000 --- a/3-bmab/LICENSE.txt +++ /dev/null @@ -1,663 +0,0 @@ - GNU AFFERO GENERAL PUBLIC LICENSE - Version 3, 19 November 2007 - - Copyright (c) 2023 AUTOMATIC1111 - - Copyright (C) 2007 Free Software Foundation, Inc. - Everyone is permitted to copy and distribute verbatim copies - of this license document, but changing it is not allowed. - - Preamble - - The GNU Affero General Public License is a free, copyleft license for -software and other kinds of works, specifically designed to ensure -cooperation with the community in the case of network server software. - - The licenses for most software and other practical works are designed -to take away your freedom to share and change the works. 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If not, see . - -Also add information on how to contact you by electronic and paper mail. - - If your software can interact with users remotely through a computer -network, you should also make sure that it provides a way for users to -get its source. For example, if your program is a web application, its -interface could display a "Source" link that leads users to an archive -of the code. There are many ways you could offer source, and different -solutions will be better for different programs; see section 13 for the -specific requirements. - - You should also get your employer (if you work as a programmer) or school, -if any, to sign a "copyright disclaimer" for the program, if necessary. -For more information on this, and how to apply and follow the GNU AGPL, see -. diff --git a/3-bmab/README.md b/3-bmab/README.md deleted file mode 100644 index 0d0358dfe6216b08b26efdc9345f33a671ac7722..0000000000000000000000000000000000000000 --- a/3-bmab/README.md +++ /dev/null @@ -1,214 +0,0 @@ - -# BMAB - -BMAB는 Stable Diffusion WebUI의 확장 기능으로, 생성된 이미지를 설정에 따라 후처리하는 기능을 가지고 있습니다. -필요에 따라 인물, 얼굴, 손을 찾아 다시 그리거나, Resize, Resample, 노이즈 추가 등의 기능을 수행할 수 있으며, -두 장의 이미지를 합성하거나, Upscale의 기능을 수행 할 수 있습니다. - -BMAB is an extension of Stable Diffusion WebUI and has the function of post-processing the generated image according to settings. -If necessary, you can find and redraw people, faces, and hands, or perform functions such as resize, resample, and add noise. -You can composite two images or perform the Upscale function. - -Manual (KR) - -You can see more image. https://www.facebook.com/profile.php?id=61553793992101 - -## Example - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- -
- Person, Face Detailing, cnNoise(0.4, 0, 0.4), cnPose(1, 0, 1), cnIpAdapter(0.6, 0, 0.3), Custom Filter, -
- -
- IC-Light(Left), Face Detailing, Resample, cnNoise(0.4, 0, 0.4), cnPose(1, 0, 1), cnIpAdapter(0.6, 0, 0.3) -
- -
- IC-Light(Left), Face Detailing, Resample, cnNoise(0.4, 0, 0.4), cnPose(1, 0, 1), cnIpAdapter(0.6, 0, 0.3) -
- - - -
- IC-Light(Left), Face Detailing, - - IC-Light(Left), Face Detailing, -
- -
- Face Detailing, Resample, cnNoise(0.4, 0, 0.4), cnPose(1, 0, 1), cnIpAdapter(0.6, 0, 0.3) -
- - - -
- Face Detailing, cnNoise(0.4, 0, 0.4), cnPose(1, 0, 1), cnIpAdapter(0.6, 0, 0.3) - - Face Detailing, cnNoise(0.4, 0, 0.4), cnPose(1, 0, 1), cnIpAdapter(0.6, 0, 0.3) -
- - - -
- Face Detailing, cnNoise(0.4, 0, 0.4), cnPose(1, 0, 1), cnIpAdapter(0.6, 0, 0.3) - - Face Detailing, cnNoise(0.4, 0, 0.4), cnPose(1, 0, 1), cnIpAdapter(0.6, 0, 0.3) -
- - - -
- Face Detailing, cnNoise(0.4, 0, 0.4), cnPose(1, 0, 1), cnIpAdapter(0.6, 0, 0.3) - - Face Detailing, cnNoise(0.4, 0, 0.4), cnPose(1, 0, 1), cnIpAdapter(0.6, 0, 0.3) -
- - - -
- Face Detailing, cnNoise(0.4, 0, 0.4), cnPose(1, 0, 1) - - Face Detailing, cnNoise(0.4, 0, 0.4), cnPose(1, 0, 1) -
- -
- Face Detailing, ControlNet Noise (0.4, 0, 0.4), -
- - - -
- Resize intermediate (inpaint+lama, Bottom, 0.75, 0.6),
- Face Detailing, ControlNet Noise (0.7, 0, 0.6),
- Noise Alpha (0.1) - 		- Resize intermediate (Center, 0.5, 0.6),
- Face Detailing, ControlNet Noise (0.4, 0, 0.4)
-
- -
- -
- -
- -
- - - -
- - - -
- -
- Resize intermediate (Bottom, 0.5, 0.6), Face Detailing, ControlNet Noise (0.4, 0, 0.4) -
diff --git a/3-bmab/ReleaseNote.md b/3-bmab/ReleaseNote.md deleted file mode 100644 index 71e9afdf0b6fdf0a54582dde9bc41939fb9292f1..0000000000000000000000000000000000000000 --- a/3-bmab/ReleaseNote.md +++ /dev/null @@ -1,143 +0,0 @@ -### v24.05.12 - -* New Feature - * ICLight - * Style 추가했습니다. - * intensive : IC-Light original process - * less intensive : 과도한 적용을 줄임 - * normal : 배경을 최대한 살리면서 lighting 적용 - * soft : 배경을 최대한 살림 - * Face : 얼굴 부분을 강조하도록 검출해서 조명으로 강조 - * Person : 사람을 찾아 조명으로 강조 - * Cache - * 디렉토리가 존재하지 않으면 생성 - * Pretraining - * 입력된 폭, 높이가 아니라 실제 이미지의 크기를 사용하도록 수정 - -### v24.05.12 - -* New Feature - * ICLight : https://github.com/lllyasviel/IC-Light - * ICLight 기능을 제어할 수 있도록 통합했습니다. - * 메모리 사용량이 많습니다. - * Enable ICLight before upscale 끄면 1200*1800을 4090으로도 어렵습니다. - * Process 작업전 수행되는 preprocess filter가 추가되었습니다. -* Code Fix - * Pose Default 값을 변경했습니다. - * cache를 통합 제어하도록 변경했습니다. - -### v24.05.07 - -* New Feature - * Installer : groudingdino for CUDA support. - * Resample : fix FakeControlNet - * Refactoring : multiple controlnet support - - -### v24.05.01 - -* New Feature - * ControlNet IpAdapter에서 하위 디렉토리를 만들면 하위 디렉토리 안에서 이미지를 적용할 수 있도록 개선했습니다. - * Random으로 지정하면 전체 이미지에서 선택합니다. - * 저장된 정보를 불러왔을때 Pose, IpAdapter 이미지가 표시됩니다. - -* ### v24.05.01 - -* New Feature - * ControlNet IpAdapter 기능을 제공합니다. - * sd-webui-controlnet을 이용하여 제공하며, 랜덤하게 이미지를 적용할 수 있도록 개선했습니다. - * Setting > BMAB에 현재 ControlNet IpAdapter의 model을 적어주셔야 합니다. - * 기본적으로 모델은 default로 적용해두었습니다. - -* Code Fix - * Setting에 Additional Checkpoint Path이 sd-webui 1.8에서 동작하지 않아, 이런 경우 빈칸으로 두면 오류가 발생하지 않도록 수정했습니다. - * Person, Face 의 prompt가 hires.fix가 켜져있다면 hires.fix 것을 사용함. - -### v24.04.30 - -* New Feature - * Person Detailer에 checkpoint, vae, sampler, scheduler 및 steps 추가 - * Setting에 Additional Checkpoint Path 디렉토리를 입력하면 두 디렉토리 내용을 병합하여 전체적 적용됨. - -* Code Fix - * Person, Face 의 prompt가 hires.fix가 켜져있다면 hires.fix 것을 사용함. - -### v24.04.26 - -* Code Fix - * Pretraining 에 checkpoint, vae 선택 추가 - * checkpoint, vae, filter, pose 등에 대한 fresh 버튼을 삭제하고 하나로 통합 - * vintage filter 추가 - - -### v24.04.20 - -* New Features - * Pose - * Face only 옵션 추가 - * Pose를 선택할 수 있도록 추가 - -### v24.04.17 - -* New Features - * Pose - * sd-webui-bmab/pose 디렉토리에 있는 이미지를 이용하여 openpose를 동작한다. - * seed에 맞춰서 임의이 순서로 동작한다. - * Face - * CheckPoint를 선택할 수 있도록 추가 - * Pretraining - * Filter를 선택할 수 있도록 추가 - * Refiner - * VAE를 선택할 수 있도록 추가 - * Noise - * Both, Low res fix, High res fix 추가. - -### v24.04.16 - -* Code Fix - * 1.9.0 지원 - * 1.8.0 하위 호환 - * CheckPoint 관련 전반 수정 - * basicsr 설치 오류 수정 - -### v24.04.05 - -* Code Fix - * 1.8.0 설치시에 동작하지 않는 버그를 수정했습니다. - * preprocess filter 분리 - * hires.fix - upscale 시에 필터가 정확하게 적용되지 않는 버그 수정 - * ControlNet Noise 사용시에 그레이 이미지를 사용하도록 수정 - * 그 외 몇가지 코드 리펙토링 - -### v23.11.30.0 - -* Code Fix - * Support BMAB DR - * Img2img rollback - - -### v23.11.28.0 - -* New Feature - * Kohya Hires.fix - * Preprocess에서 Kohya Hires.fix기능을 추가하였습니다. - * 이 기능을 사용할때 sd 1.5 기준 1024x1025, 1536x1536, 1024x1536, 1536x1024일 경우가 가장 잘나옵니다. - * 이 기능은 원작자가 SDXL을 위해서 만든 기능입니다. 굳이 sd 1.5에서 사용할 필요는 없습니다. - - -### v23.11.27.0 - -* New Feature - * Stop generating gracefully - * BMAB 프로세스가 완료되면 batch가 남아있더라도 종료하는 기능. - * 이미지 생성 중간에 Interrupt 를 눌러서 종료가 아니라, 이미지 생성이 완료되면 종료된다. - * 'Enable BMAB' 오른쪽에 작게 Stop이 있다. - * FinalFilter - * 최종 이미지에 수정을 가할 수 있도록 필터를 적용할 수 있도록 하는 기능. - * 필터는 구현해서 filter에 넣으면 확인할 수 있다. -* BugFix - * Img2Img와 openpose 사용시에 inpaint area 적용되지 않는 문제 수정. - * 약간의 코드 리펙토링 - - - diff --git a/3-bmab/docs/en/bmab.md b/3-bmab/docs/en/bmab.md deleted file mode 100644 index c456a23acf9288aba487b7a76ac3b5c4d0f2f36c..0000000000000000000000000000000000000000 --- a/3-bmab/docs/en/bmab.md +++ /dev/null @@ -1,319 +0,0 @@ - -# BMAB - -## 기본 기능 - -* Contrast : 대비값 조절 (1이면 변경 없음) -* Brightness : 밝기값 조절 (1이면 변경 없음) -* Sharpeness : 날카롭게 처리하는 값 조절 (1이면 변경 없음) -* Color Temperature : 색온도 조절, 6500K이 0 (0이면 변경 없음) -* Noise alpha : 프로세스 전에 노이즈를 추가하여 디테일을 올릴 수 있습니다. (권장값:0.1) -* Noise alpha at final stage : 최종 단계에서 노이즈를 추가하여 분위기를 다르게 전달할 수 있습니다. - - -## Imaging - -### Blend Image in Img2Img - -이미지 업로드 상자에 입력한 이미지와 Img2Img에 입력된 이미지를 Blending합니다. -Blend Alpha 값으로 두 개의 이미지를 합성합니다. -"Process before Img2Img" 옵션이 적용됩니다. - -### Dino detect - -Img2Img Inpainting 하는 경우에 마스크를 입력하지 않아도 Dino detect prompt에 있는 내용을 이용하여 자동으로 마스크를 생성합니다. -이미지를 업로드 하게되면 업로드된 이미지를 배경으로 하여 prompt로 입력된 부분을 업로드 이미지에 합성합니다. - -#### Img2Img 에서 사용하는 경우 - -

- - -

-

- - -

- - - -첫번째 image는 Img2Img 이미지로 지정 -두번째 image는 BMAB의 Imaging에 Image 입력창에 지정 - -프로세스 과정에서 세번째 image를 합성하고 프롬프트에 따라서 결과가 얻어진다. - -Enabled : CHECK!! - -Contrast : 1.2 -Brightness : 0.9 -Sharpeness : 1.5 - -Enable dino detect : CHECK!! -DINO detect Prompt : 1girl - - -#### Img2Img Inpaint 에서 사용하는 경우 - -DINO detect Prompt에 있는 내용대로 자동으로 마스크를 만들어준다. - -

- - - -

- - -이번 예제에서는 배경을 변경했으니, inpaint 설정에서 "Inpaint Not Masked"를 선택해야 한다. -반대로 "Inpaint Masked"를 하면 인물이 변경된다. - - -## Person - -이 기능을 사용하게 되면 프로세스가 완료된 이후에, 인물을 감지하여 다시 그립니다. -아래의 경우에 사용하면 효과적입니다. - -* 인물이 배경에 비해 매우 작은 경우, 의복, 얼굴 등 인물 전체의 디테일이 올라갑니다. -* 4K와 같이 큰 이미지를 출력하는 경우, 업 스케일 이후에 인물이 작은 경우 이 기능을 사용하면 인물이 뚜렷해 집니다. -* Face Detailing과 같이 사용하면 좋은 효과를 볼 수 있습니다. - - - - - -#### Enable person detailing for landscape (EXPERIMENTAL) - -풍경에서 인물을 자세하게 다시 그리는 기능을 활성화 합니다. - -#### Block over-scaled image - -이 기능이 켜지게 되면 인물을 찾아내서 크게 키워서 다시 그리는데 이때 확대된 이미지의 면적이 본래 이미지를 초과하게 되면 프로세스를 멈춥니다. -sd-webui가 멈추거나 GPU를 보호하기 위한 목적입니다. - -#### Auto scale if "Block over-scaled image" enabled - -이 기능을 설정하면 위에서 언급한 "Block over-scaled image"로 차단될 경우 본래 이미지의 면적에 맞춰서 스케일을 조정하여 작업합니다. - -#### Upscale Ratio - -인물이 발견되면 주어진 비율로 키워서 자세하게 그립니다. - -#### Denoising Strength - -인물의 크기가 클 경우 0.4로 부족할 수 있습니다. 이런 경우 수치를 올려주세요. - -#### Dilation mask - -찾아낸 인물의 마스크를 확장합니다. - -#### CFG Scale - -인물을 다시 그릴때 사용하는 CFG scale 값입니다. - -#### Large person area limit - -인물이 이미지 속에서 차지하는 면적이 이 값을 초과하면 작업하지 않습니다. -인물이 충분히 큰 경우 다시 그릴 필요가 없기 때문입니다. - -#### Limit - -이미지 속에 인물이 너무 많은 경우 면적단위로 큰 것부터 카운트하여 설정값을 초과하여 다시 그리지 않습니다. - - - - - - -## Face - -### Face Detailing - -이 기능을 사용하게 되면 프로세스가 완료된 이후 After Detailer(AD)나 Detection Detailer(DD)와 같이 -얼굴을 보정합니다. -이 기능을 동작시킨 후에 AD, DD가 동작하도록 설정한다면, 결과가 좋지 않을 수 있습니다. - - - -최대 5개의 캐릭터에 대해 prompt를 별도로 지정할 수 있습니다. - -#### Enable face detailing - -face detailing 기능을 켜고 끌 수 있습니다. - -#### Enable face detailing before hires.fix (EXPERIMENTAL) - -face detailing 기능을 txt2img 과정의 hires.fix 직전에 한 번 더 수행합니다. -얼굴을 보정한 이후에 upscale을 하기 때문에 더 좋은 품질의 이미지를 얻을 수 있습니다. -하지만 부하가 더 들어가고, 이미지 변화가 심합니다. - -#### Face detailing sort by - -이미지 안에 여러 인물이 있는 경우 어떤 순서로 Detailing 할 것인지 결정합니다. - - - - -왼쪽, 오른쪽 혹은 크기로 가능하며 없다면 기본적으로 Score 값이 높은 순서로 합니다. - -#### Limit - -이미지 않에 여러 인물이 있는 경우 위에서 정한 순서로 얼마나 수행할지 결정합니다. -Limit이 1이라면 최대 1개만 수행한다는 뜻입니다. - -#### Override Parameters - -* Denoising Strength -* CFG Scale -* Width -* Height -* Steps -* Mask Blur - -위 값에 대해 기본값이 아닌 UI에서 지정한 값을 사용합니다. - -#### Inpaint Area - -전체를 다시 그릴지 얼굴만 다시 그릴지를 결정합니다. 전체를 다시 그리는 것은 별로 추천하지 않습니다. - -#### Only masked padding, pixels - -기본값을 사용해 주세요. - -#### Dilation - -검출된 얼굴의 마스크 크기를 키웁니다. - -#### Box threshold - -Detector의 검출 값을 결정합니다. 기본값 0.35보다 작으면 face가 아닐 것으로 제외합니다. -YOLO를 사용하는 경우 confidence를 대체합니다. - -**좋은 결과를 얻기 위한 조언** - -* Prompt에 얼굴 관련된 lora, textual inversion등 관련 내용을 뺍니다. sunglass 등은 무관합니다. -* 설정 파일에 얼굴마다 서로 다른 lora, textual inversion 등을 넣습니다. -* prompt에 lora, TI가 많을 경우 그림 생성 자유도가 떨어지는 것 같습니다. -* 그림속 모든 캐릭터가 공유되는 lora는 넣어주셔도 무방합니다. - - - -## Hand - -### Hand Detailing (EXPERIMENTAL) - -손 표현이 잘못된 부분을 수정하는 기능입니다. -만들어진 그림에서 손 부분을 자동으로 찾아내어 해당 부분을 다시 그리는 기능입니다. -다만 손의 경우 다시 그려도 잘 그려질지 확실하지 않으며, 손을 자세하게 그리는 정도입니다. - - - -#### Enable hand detailing - -손 보정 기능을 사용하도록 활성화 합니다. - -#### Block over-scaled image - -이 기능은 손을 찾아내어 확대해서 다시그리는 방법을 사용합니다. -다시 그려야 하는 부분의 면적이 원래이미지를 초과하게 되면 작업을 수행하지 않습니다. -이런 경우에는 Upscale Ratio를 줄이거나, 이 기능을 꺼야하는데, 이 기능을 끄면 매우 큰 그림을 다시 그릴 수도 있어서 GPU에 부하가 걸릴 수 있습니다.. - -#### Method -* subframe : 손을 포함하여 얼굴/머리 부분까지 찾아내어 상반신을 다시 그린다. -* each hand : 손을 찾아내여 3배 크기의 주변부 까지 다시 그려 손만 적용한다. -* each hand inpaint : 손을 찾아내어 3재 크기의 주변부를 기반으로 손만 다시 그린다. - 매우 극단적으로 변형될 수 있어서 잘 그려지기 어렵다 모양이 갖춰진다면, subframe으로 다시 그리는 것을 추천한다. -* at once : 찾아낸 손을 모두 한번에 다시 그린다. - - -#### Prompt - -Subframe에서는 입력하지 않을 것을 권장합니다. -each hand, each hand inpaint시에 손 관련 프롬프트를 입력합니다. - -#### Negative Prompt - -Subframe에서는 입력하지 않을 것을 권장합니다. -each hand, each hand inpaint시에 손 관련 네거티브 프롬프트를 입력합니다. - -#### Denoising Strength - -다시 그리는 경우 Denoising Strength 값 입니다. -* subframe : 0.4 권장 -* 기타 0.55 이상 권장 - -#### CFG Scale - -다시 그리는 경우 CFG Scale 값 입니다. - -#### Upscale Ratio -상반신 / 손 주변을 찾아내어 얼마나 크게 확대하여 다시 그릴 것인지 지정한다. -무조건 크게 그린다고 성공확률이 올라가는 것은 아니다. -* subframe : 2.0 -* 기타 : 2.0~4.0 - -#### Box Threshold - -손을 찾아내지 못하는 경우 이 값을 낮추면, 찾아낼 수 있는 확률이 올라갑니다. -하지만 잘 못 찾아낼 가능성도 올라갑니다. - -#### Box Dilation - -찾아낸 박스(손을 포함하여)의 외곽 부분을 얼마나 크게 할 것이 결정합니다. (only for subframe) - -#### Inpaint Area - -찾아낸 박스 전체를 다시 그릴 것인지, 손만 다시 그릴 것인지를 결정한다. -손만 다시그리는 경우 손 모양이 원하지 않게 바뀔 수 있으나 크게 변경된다. - -#### Only masked padding - -찾아낸 손의 내부 공간을 얼마 정도로 채울지를 결정합니다. 딱히 변경할 일 없습니다. - -#### Additional Parameter - -현재는 제공하지 않지만 향후 고급 사용자를 위한 옵션을 제공할 예정입니다. - - - -## ControlNet - -ControlNet을 이용하여 이미지에 노이즈를 추가하는 방법으로 디테일을 올리는 기능입니다. -ControlNet의 Lineart 모델에 가우시안 노이즈 이미지를 입력으로 사용하여, -결과물에 다양하고 복잡한 디테일을 추가합니다. - -#### Noise Strength - -노이즈 강도를 지정합니다. (0.4 권장) - -#### Begin - -Sampling 단계 시작점 - -#### End - -Sampling 단계 끝점 - -보통의 경우 0.4, 0, 0.4를 권장합니다. 혹은 이미지가 과도하게 그려질 경우 0.2, 0, 0.4 정도로 추천합니다. -과도하게 이미지가 그려진 경우 refiner를 사용하면 이미지를 어느 정도 안정시킬 수 있습니다. - -아래는 모두 같은 seed입니다. - - - - - - - - - - - -
기본이미지0.40.7
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diff --git a/3-bmab/docs/en/manual.md b/3-bmab/docs/en/manual.md deleted file mode 100644 index bad6b46f361a0e7d4e4145824028832d76b0cf32..0000000000000000000000000000000000000000 --- a/3-bmab/docs/en/manual.md +++ /dev/null @@ -1,58 +0,0 @@ - -## Quick Test - -Enable을 체크하고 Config Tab에서 Preset "example"을 선택합니다. - -contrast: 1.2 -brightness: 0.9 -sharpeness: 1.5 - -Edge enhancement 적용 -Face Detailing 적용 -Resize by person 적용 - - - -## 기본 옵션 - -Enabled (VERSION): 기능을 켜고 끌 수 있습니다. - -### Resize and fill override - -Img2Img를 수행하는 경우 "Resize and fill" 을 선택하게 되면 -통상 좌우, 상하로 늘어나거나 비율이 같다면 그대로 크기만 변경됩니다. - -Enabled 된 상태에서는 항상 이미지가 아래에 위치하고, -왼쪽, 오른쪽, 윗쪽으로 비율에 맞게 늘어납니다. - -인물의 윗쪽으로 여백이 없는 경우에 적용하면 효과적입니다. -너무 크게 늘리게 되면 좋은 결과를 얻기 힘듭니다. -대략 1.1, 1.2 정도 스케일에서 사용하시길 권장합니다. - -

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- -# Preprocess - -본 이미지 변경을 하기 전에 사전 처리 과정을 수행합니다. -조건에 따라 hires.fix 과정에 개입할 수도 있습니다. - -Preprocess - -# BMAB - -Person, Hand, Face detailer를 수행하거나, 이미지 합성 혹은 노이즈 추가등의 기능을 수행합니다. - -bmab - -# Postprocess - -이미지 처리가 완료된 이후, 인물의 크기에 따라 배경을 확장하거나 upscale을 할 수 있습니다. - -Postprocess diff --git a/3-bmab/docs/en/postprocess.md b/3-bmab/docs/en/postprocess.md deleted file mode 100644 index 2fc66330d0a198fb6b0640fcfa95091748bbf898..0000000000000000000000000000000000000000 --- a/3-bmab/docs/en/postprocess.md +++ /dev/null @@ -1,66 +0,0 @@ - - -# PostProcessing - -## Resize - -### Resize by person - -그림 속 인물중 가장 신장이 큰 사람의 길이와 그림 높이의 비율이 설정값을 넘어가면 비율을 설정값로 맞추는 기능입니다. -설정값이 0.90이고 인물의 전체 길이: 그림 높이의 비율이 0.95라고 한다면 -배경을 늘려서 인물의 비율이 0.90이 되도록 합니다. -배경은 왼쪽, 오른쪽, 위쪽으로 늘어납니다. - - -이 기능은 2가지 방법을 제공하는데 다음과 같습니다. - -#### Inpaint - -Face Detailing과 같은 방법으로 이미지가 완전히 생성되고 난 후에 주변부를 확장합니다. -이때 이미 생성된 이미지를 훼손하지 않고 주변부만 확장하기 때문에 직관적으로 확인이 가능합니다. -가장 빠르고 효과적으로 추천합니다. - -#### Inpaint + lama - -Inpaint와 같은 방법인데 BMAB에서 ControlNet을 불러서 Inpaint+lama를 이용해서 동작합니다. -이미지가 생성되고나서 디테일링 시작하기 전에 img2img를 이용하여 배경을 확장하여 전체적으로 인물을 작게 만드는 효과가 있습니다. - - - - - - - - - - - - - - -
- -이 두가지 방법은 생성된 이미지를 축소하기만 할뿐 훼손하지 않습니다. -이것이 Resize intermediate와 다른점입니다. - - -## Upscaler - -최종적으로 이미지가 완성되고 난 이후에 이미지를 upscaler를 이용하여 크게 만듭니다. - - -#### Enable upscale at final stage - -이미지 생성이 완료되고 난 이후에 Upscale을 수행합니다. -960x540으로 생성하고 hires.fix를 x2로 하면 1920x1080 이미지가 나오는데 -여기서 Upscale을 x2를 하면 4K 이미지가 나오게 됩니다. - -#### Detailing after upscale - -이 옵션을 설정하면 위에서 언급한 Person, Face, Hand 에 대한 detailing을 upscale 이후에 수행합니다. - -#### Upscale Ratio - -이미지를 얼마나 upscale할지 결정합니다. - - diff --git a/3-bmab/docs/en/preprocess.md b/3-bmab/docs/en/preprocess.md deleted file mode 100644 index 598d6670bd472d1a871ad0c69b7f975b7d17c4d2..0000000000000000000000000000000000000000 --- a/3-bmab/docs/en/preprocess.md +++ /dev/null @@ -1,425 +0,0 @@ - -# Preprocess - -## Context - -BMAB에서 사용할 Checkpoint와 VAE를 지정합니다. -특정 기능들은 자체 Checkpoint와 VAE를 설정할 수 있습니다. -한 번 변경된 Checkpoint는 그 이후 프로세스들이 계속 사용합니다. - - - -#### txt2img noise multiplier for hires.fix - -hires.fix 단계에서 noise를 추가 할 수 있다. - -#### txt2img extra noise multiplier for hires.fix (EXPERIMENTAL) - -hires.fix 단계에서 추가적인 noise를 더 할 수 있다. - -#### Hires.fix filter before upscaler - -Hires.fix 단계 중 upscaler 전에 filter를 적용할 수 있다. - -#### Hires.fix filter after upscaler - -Hires.fix 단계 중 upscaler 후에 filter를 적용할 수 있다. - - -## Resample (EXPERIMENTAL) - -Self resampling 기능입니다. txt2img -> hres.fix를 통해 생성된 이미지를 다시 txt2img -> hires.fix 과정을 수행하면서 -ControlNet Tile Resample을 수행합니다. 아래와 같은 경우 사용할 수 있습니다. - -* 두 모델간에 결과물 차이가 큰 경우 -* 두 모델간에 인물 비율이 차이나는 경우 -* 두 모델간 버전이 다른 경우 (SDXL, SD15) - - - - - - - - - - -
txt2img->hires.fixResample + BMAB Basic
- - -BMAB resample image by [padapari](https://www.instagram.com/_padapari_/) - -
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- - - - -#### Enable self resample (EXPERIMENTAL) - -이 기능을 켜고 끌 수 있습니다. - -#### Save image before processing - -최초 txt2img -> hires.fix를 통해 생성된 이미지가 후 처리를 위해 BMAB로 입력되면, -해당 이미지를 프로세싱하기 전에 저장합니다. 이미지 postfix로 "-before-resample"이 붙습니다. - -#### Checkpoint - -SD Checkpoint를 지정할 수 있습니다. 지정하지 않는다면 앞에서 설정된 Checkpoint를 사용합니다. -프로세스가 완료되어도 원래 것으로 돌려놓지 않습니다. - -#### SD VAE - -SD VAE를 지정할 수 있습니다. 지정하지 않는다면 앞에서 설정된 VAE를 사용합니다. -프로세스가 완료되어도 원래 것으로 돌려놓지 않습니다. - -#### Resample method - -Resample 방법을 선택할 수 있습니다. - -txt2img-1pass : txt2img을 hires.fix 없이 동작시킨다. -txt2img-2pass : txt2img를 hires.fix로 동작시킨다. 기본적으로 이미지를 출력할 때 hires.fix가 동작해야하만 한다. -img2img-1pass : img2img로 동작시킨다. - -#### Resample filter - -Resample이 완료되고 난 이후에 외부 filter 코드를 호출하여 이미지 변환을 추가적으로 수행할 수 있다. - - -#### Resample prompt - -resampling 과정에서 사용할 prompt입니다. 비어있는 경우 main prompt와 동일하며, -"#!org!#" 를 입력하면 main prompt를 대체합니다. "#!org!#" 이후에 추가로 prompt를 적을 수 있습니다. -ex) #!org!#, soft light, some more keyword - -#### Resample negative prompt - -resampling 과정에서 사용할 prompt입니다. 비어있는 경우 main negative prompt와 동일합니다. - -#### Sampling method - -프로세스에 사용할 sampling method를 지정합니다. 지정하지 않는다면 이전 프로세스와 같은 sampler를 지정합니다. - -#### Upsacler - -hires.fix를 사용하는 경우에 지정하는 upscaler입니다. - -#### Resample sampling steps - -resample process 사용할 samping steps를 지정합니다. -(권장 20) - -#### Resample CFG scale - -resample process 사용할 CFG scale 값을 지정합니다. -dynamic threshold는 지원하지 않습니다. - -#### Resample denoising strength - -resample process가 사용할 denoising strength를 지정합니다. -(권장 0.4) - -#### Resample strength - -0에 가까운 값은 입력 이미지와 멀어지고, 1에 가까울 수록 원본 이미지와 유사합니다. - -#### Resample begin - -sampling 단계에 적용 시작점. - -#### Resample end - -sampling 단계 적용 종료 시점. - - - - - - - - -## Pretraining (EXPERIMENTAL) - -Pretraining detailer입니다. ultralytics로 pretraining 모델을 적용하여 detection을 수행하고 -이를 기반으로 prompt, negative prompt를 적용하여 부분적으로 이미지를 더 자세하게 그릴 수 있습니다. - - - -#### Enable pretraining detailer (EXPERIMENTAL) - -이 기능을 켜고 끌 수 있습니다. - -#### Enable pretraining before hires.fix - -pretraining detailer를 hires.fix 전에 수행하도록 한다. - -#### Pretraining model - -ultralytics 로 학습된 detection model (*.pt)를 지정할 수 있습니다. -stable-diffusion-webui/models/BMAB에 해당 파일이 있어야 목록에 나타납니다. - - -#### Pretraining prompt - -pretraining detailer process 과정에서 사용할 prompt입니다. 비어있는 경우 main prompt와 동일하며, -"#!org!#" 를 입력하면 main prompt를 대체합니다. "#!org!#" 이후에 추가로 prompt를 적을 수 있습니다. -ex) #!org!#, soft light, some more keyword - -#### Pretraining negative prompt - -pretraining detailer process 과정에서 사용할 prompt입니다. 비어있는 경우 main negative prompt와 동일합니다. - -#### Sampling method - -프로세스에 사용할 sampling method를 지정합니다. 지정하지 않는다면 이전 프로세스와 같은 sampler를 지정합니다. - - -#### Pretraining sampling steps - -resample process 사용할 samping steps를 지정합니다. -(권장 20) - -#### Pretraining CFG scale - -resample process 사용할 CFG scale 값을 지정합니다. -dynamic threshold는 지원하지 않습니다. - -#### Pretraining denoising strength - -resample process가 사용할 denoising strength를 지정합니다. -(권장 0.4) - -#### Pretraining dilation - -detection 된 사각형의 범위를 주어진 값 만큼 크기를 크게 합니다. - -#### Pretraining box threshold - -Detector의 검출 값을 결정합니다. 기본값 0.35보다 작으면 face가 아닐 것으로 제외합니다. -ultralytics predict의 confidence 값입니다. - - - -## Edge enhancemant - -이미지 경계를 강화해 선명도를 증가시키거나 디테일을 증가시키는 기능입니다. - -**Upscaler가 Latent 계열인 경우 동작하지 않습니다. (R-ESRGAN, 4x-UltraSharp 추천)** - - - -권장설정 - -* Edge low threshold : 50 -* Edge high threshold : 200 -* Edge strength : 0.5 - -

- - -

- -Enabled : CHECK!! - -Contrast : 1.2 -Brightness : 0.9 -Sharpeness : 1.5 - -Enable edge enhancement : CHECK!! -Edge low threshold : 50 -Edge high threshold : 200 -Edge strength : 0.5 - - - - -## Resize - -txt2img -> hires.fix 의 중간 과정에서 동작합니다.. -만약 img2img에서 사용한다면, 프로세스 시작 전에 동작합니다. - -그림 속 인물중 가장 신장이 큰 사람의 길이와 그림 높이의 비율이 설정값을 넘어가면 비율을 설정값로 맞추는 기능입니다. -설정값이 0.90이고 인물의 전체 길이: 그림 높이의 비율이 0.95라고 한다면 -배경을 늘려서 인물의 비율이 0.90이 되도록 합니다. -배경은 Alignment에서 지정한 방식에 따라 늘어납니다. - -txt2img 수행하는 단계에서 hires.fix 하기 직전에 이미지를 변경합니다. -이 과정은 변경된 이미지가 hires.fix 과정에서 매끄럽게 변하게 하기 위한 것입니다. -**denoising strength는 0.6~0.7 정도를 사용하셔야 주변부 이미지 왜곡이 발생하지 않습니다.** -**Upscaler가 Latent 계열인 경우 동작하지 않습니다. (R-ESRGAN, 4x-UltraSharp 추천)** - -#### Method - -Resize 하는 방식을 지정할 수 있습니다. - -* Stretching : 단순히 이미지를 외곽부분을 늘려서 배경을 확장합니다. -* inpaint : Stretching된 이미지를 mask를 사용하여 늘린 부분만 img2img inpainting을 수행합니다. -* inpaint+lama : Controlnet의 inpaint+lama 모델을 사용하여 확장된 영역을 다시 그립니다. -* inpaint_only : Controlnet의 inpaint_only를 사용하여 확장된 영역을 다시 그립니다. - - -#### Alignment - -이미지를 확장하고 원래 이미지를 어느 방향으로 정렬할 것인지를 결정합니다. - - - -#### Resize filter - -Resize가 완료되고 난 이후에 외부 filter 코드를 호출하여 이미지 변환을 추가적으로 수행할 수 있다. - - -#### Resize by person intermediate - -인물의 크기 비율을 나타냅니다. 이 값을 초과하면 이 크기가 되도록 배경을 확장시킵니다. - - - - - - - - - - - - - - -
OriginalResize 0.7Resize 0.5
- - - - - - - - - - - - - - - - - - -
OriginalAlignment center
Alignment bottomAlignment bottom-left
- - -Resize sample - - - - - - - - - - - - - - -## Refiner - -txt2img에서 만들어진 이미지를 한번 더 그리는 과정을 수행한다. -txt2img + hires.fix 가 된 상황에서도 유효하다. - -refiner는 이미지가 생성되고 detailing 하기전에 동작하며, -sd-webui의 hires.fix + refiner를 합친 동작과 비슷하다. - - - - - - - - - - - - - - -
txt2img(512x768)txt2img + hires.fix(800x1200)txt2img + hires.fix + refiner(1200x1800)
- - -(위 예제는 결과를 모두 resize하여 동일한 크기이다.) - -위 예제와 같이 3단계로 처리할 수도 있으나, -hires.fix 단계 없이 refiner로 resize하여 처리할 수도 있다. - - - -

- -

- -#### Enable refiner - -refiner 사용 여부를 체크합니다. - -#### CheckPoint - -refiner를 이용하여 다시 그릴때 사용할 checkpoint를 지정합니다. - -#### Use this checkpoint for detailing - -위에서 지정한 checkpoint를 이용하여 detailing에 적용합니다. - -#### Prompt - -refiner가 이미지를 다시 그릴때 사용하는 prompt를 지정합니다. -비어있다면 main prompt와 동일하고,채워져 있다면 main prompt를 무시합니다. -만약 #!org!# 문자열이 있다면 main prompt를 대체합니다. - -#### Negative prompt - -refiner가 이미지를 다시 그릴때 사용하는 negative prompt를 지정합니다. - -#### Sampling method - -refiner가 사용할 sampler를 지정할 수 있습니다. -(Euler A 권장) - -#### Upscaler - -refiner가 이미지를 resize하는 경우 사용할 upscaler를 지정합니다. - -#### Refiner sampling steps - -refiner가 사용할 samping steps를 지정합니다. -(권장 20) - -#### Refiner CFG scale - -refiner가 사용할 CFG scale 값을 지정합니다. -dynamic threshold는 지원하지 않습니다. - -#### Refiner denoising strength - -refiner가 사용할 denoising strength를 지정합니다. -(권장 0.4) - -#### Refiner scale - -refiner가 주어진 이미지를 scale 값으로 resize합니다. -만약 refiner width, refiner height가 설정되어있다면 무시됩니다. - -#### Refiner width - -이미지 폭을 해당 값으로 강제로 설정합니다. - -#### Refiner height - -이미지 높이를 해당 값으로 강제로 설정합니다. - -
-
-
diff --git a/3-bmab/docs/kr/api.md b/3-bmab/docs/kr/api.md deleted file mode 100644 index d9f9eed800647d302232fb59333ad6b1de09a09f..0000000000000000000000000000000000000000 --- a/3-bmab/docs/kr/api.md +++ /dev/null @@ -1,234 +0,0 @@ - - - -# API - -Stable diffusion webui의 API를 이용하여 이미지를 생성하는 경우 아래와 같이 BMAB를 사용하여 API Call을 할 수 있습니다. - - -```python -import requests -import json -import base64 - - -prompt = ''' -1girl -''' -negative_prompt = '(worst quality, low quality:1.4),' - -txt2img = { - 'prompt': prompt, - 'negative_prompt': negative_prompt, - 'steps': 20, - 'width': 512, - 'height': 768, - 'cfg_scale': 7, - 'seed': -1, - 'sampler_index': 'DPM++ SDE Karras', - 'script_name': None, - 'alwayson_scripts': { - 'BMAB': { - 'args': [ - { - 'enabled': True, - 'face_detailing_enabled': True, - } - ] - } - } -} - -response = requests.post('http://localhost:7860/sdapi/v1/txt2img', data=json.dumps(txt2img)) -print(response) -j = response.json() -b64_image = j['images'][0] - - -with open('test.png', 'wb') as image_file: - image_file.write(base64.b64decode(b64_image)) - -``` - -BAMB의 Argument는 저장된 설정 파일과 동일하며, -이것을 기반으로 모든 설정을 사용할 수 있습니다. 설정에 없는 경우 기본값을 사용합니다. - -아래는 json 형태의 기본 설정 값입니다. - -```json -{ - "enabled": false, - "preprocess_checkpoint": "Use same checkpoint", - "preprocess_vae": "Use same vae", - "txt2img_noise_multiplier": 1, - "txt2img_extra_noise_multiplier": 0, - "txt2img_filter_hresfix_before_upscale": "None", - "txt2img_filter_hresfix_after_upscale": "None", - "resample_enabled": false, - "module_config": { - "resample_opt": { - "save_image": false, - "hiresfix_enabled": false, - "checkpoint": "Use same checkpoint", - "vae": "Use same vae", - "method": "txt2img-1pass", - "filter": "None", - "prompt": "", - "negative_prompt": "", - "sampler": "Use same sampler", - "upscaler": "BMAB fast", - "steps": 20, - "cfg_scale": 7, - "denoising_strength": 0.75, - "strength": 0.5, - "begin": 0.1, - "end": 0.9 - }, - "pretraining_opt": { - "hiresfix_enabled": false, - "pretraining_model": "Select Model", - "prompt": "", - "negative_prompt": "", - "sampler": "Use same sampler", - "steps": 20, - "cfg_scale": 7, - "denoising_strength": 0.75, - "dilation": 4, - "box_threshold": 0.35 - }, - "resize_intermediate_opt": { - "resize_by_person": true, - "method": "stretching", - "alignment": "bottom", - "filter": "None", - "scale": 0.85, - "denoising_strength": 0.75 - }, - "refiner_opt": { - "checkpoint": "Use same checkpoint", - "keep_checkpoint": true, - "prompt": "", - "negative_prompt": "", - "sampler": "Use same sampler", - "upscaler": "BMAB fast", - "steps": 20, - "cfg_scale": 7, - "denoising_strength": 0.75, - "scale": 1, - "width": 0, - "height": 0 - }, - "person_detailing_opt": { - "best_quality": false, - "force_1:1": false, - "block_overscaled_image": true, - "auto_upscale": true, - "scale": 4, - "dilation": 3, - "area_ratio": 0.1, - "limit": 1, - "background_color": 1, - "background_blur": 0 - }, - "person_detailing": { - "denoising_strength": 0.4, - "cfg_scale": 7 - }, - "face_detailing_opt": { - "best_quality": false, - "sort_by": "Score", - "limit": 1, - "prompt0": "", - "negative_prompt0": "", - "prompt1": "", - "negative_prompt1": "", - "prompt2": "", - "negative_prompt2": "", - "prompt3": "", - "negative_prompt3": "", - "prompt4": "", - "negative_prompt4": "", - "override_parameter": false, - "sampler": "Use same sampler", - "detection_model": "BMAB Face(Normal)", - "dilation": 4, - "box_threshold": 0.35, - "skip_large_face": false, - "large_face_pixels": 0.26 - }, - "face_detailing": { - "width": 512, - "height": 512, - "cfg_scale": 7, - "steps": 20, - "mask_blur": 4, - "inpaint_full_res": "Only masked", - "inpaint_full_res_padding": 32, - "denoising_strength": 0.4 - }, - "hand_detailing_opt": { - "block_overscaled_image": true, - "best_quality": false, - "detailing_method": "subframe", - "auto_upscale": true, - "scale": 4, - "box_threshold": 0.3, - "dilation": 0.1, - "additional_parameter": "" - }, - "hand_detailing": { - "prompt": "", - "negative_prompt": "", - "denoising_strength": 0.4, - "cfg_scale": 7, - "inpaint_full_res": "Only masked", - "inpaint_full_res_padding": 32 - }, - "controlnet": { - "enabled": false, - "with_refiner": false, - "noise": false, - "noise_strength": 0.4, - "noise_begin": 0.1, - "noise_end": 0.9 - }, - "resize_by_person_opt": { - "mode": "Inpaint", - "scale": 0.85, - "denoising_strength": 0.6, - "dilation": 30 - } - }, - "pretraining_enabled": false, - "edge_flavor_enabled": false, - "edge_low_threadhold": 50, - "edge_high_threadhold": 200, - "edge_strength": 0.5, - "resize_intermediate_enabled": false, - "refiner_enabled": false, - "contrast": 1, - "brightness": 1, - "sharpeness": 1, - "color_saturation": 1, - "color_temperature": 0, - "noise_alpha": 0, - "noise_alpha_final": 0, - "input_image": null, - "blend_enabled": false, - "blend_alpha": 1, - "detect_enabled": false, - "masking_prompt": "", - "person_detailing_enabled": false, - "face_detailing_enabled": false, - "face_detailing_before_hiresfix_enabled": false, - "hand_detailing_enabled": false, - "resize_by_person_enabled": false, - "upscale_enabled": false, - "detailing_after_upscale": true, - "upscaler_name": "None", - "upscale_ratio": 1.5, - "config_file": "test", - "preset": "None" -} -``` - diff --git a/3-bmab/docs/kr/bmab.md b/3-bmab/docs/kr/bmab.md deleted file mode 100644 index c456a23acf9288aba487b7a76ac3b5c4d0f2f36c..0000000000000000000000000000000000000000 --- a/3-bmab/docs/kr/bmab.md +++ /dev/null @@ -1,319 +0,0 @@ - -# BMAB - -## 기본 기능 - -* Contrast : 대비값 조절 (1이면 변경 없음) -* Brightness : 밝기값 조절 (1이면 변경 없음) -* Sharpeness : 날카롭게 처리하는 값 조절 (1이면 변경 없음) -* Color Temperature : 색온도 조절, 6500K이 0 (0이면 변경 없음) -* Noise alpha : 프로세스 전에 노이즈를 추가하여 디테일을 올릴 수 있습니다. (권장값:0.1) -* Noise alpha at final stage : 최종 단계에서 노이즈를 추가하여 분위기를 다르게 전달할 수 있습니다. - - -## Imaging - -### Blend Image in Img2Img - -이미지 업로드 상자에 입력한 이미지와 Img2Img에 입력된 이미지를 Blending합니다. -Blend Alpha 값으로 두 개의 이미지를 합성합니다. -"Process before Img2Img" 옵션이 적용됩니다. - -### Dino detect - -Img2Img Inpainting 하는 경우에 마스크를 입력하지 않아도 Dino detect prompt에 있는 내용을 이용하여 자동으로 마스크를 생성합니다. -이미지를 업로드 하게되면 업로드된 이미지를 배경으로 하여 prompt로 입력된 부분을 업로드 이미지에 합성합니다. - -#### Img2Img 에서 사용하는 경우 - -

- - -

-

- - -

- - - -첫번째 image는 Img2Img 이미지로 지정 -두번째 image는 BMAB의 Imaging에 Image 입력창에 지정 - -프로세스 과정에서 세번째 image를 합성하고 프롬프트에 따라서 결과가 얻어진다. - -Enabled : CHECK!! - -Contrast : 1.2 -Brightness : 0.9 -Sharpeness : 1.5 - -Enable dino detect : CHECK!! -DINO detect Prompt : 1girl - - -#### Img2Img Inpaint 에서 사용하는 경우 - -DINO detect Prompt에 있는 내용대로 자동으로 마스크를 만들어준다. - -

- - - -

- - -이번 예제에서는 배경을 변경했으니, inpaint 설정에서 "Inpaint Not Masked"를 선택해야 한다. -반대로 "Inpaint Masked"를 하면 인물이 변경된다. - - -## Person - -이 기능을 사용하게 되면 프로세스가 완료된 이후에, 인물을 감지하여 다시 그립니다. -아래의 경우에 사용하면 효과적입니다. - -* 인물이 배경에 비해 매우 작은 경우, 의복, 얼굴 등 인물 전체의 디테일이 올라갑니다. -* 4K와 같이 큰 이미지를 출력하는 경우, 업 스케일 이후에 인물이 작은 경우 이 기능을 사용하면 인물이 뚜렷해 집니다. -* Face Detailing과 같이 사용하면 좋은 효과를 볼 수 있습니다. - - - - - -#### Enable person detailing for landscape (EXPERIMENTAL) - -풍경에서 인물을 자세하게 다시 그리는 기능을 활성화 합니다. - -#### Block over-scaled image - -이 기능이 켜지게 되면 인물을 찾아내서 크게 키워서 다시 그리는데 이때 확대된 이미지의 면적이 본래 이미지를 초과하게 되면 프로세스를 멈춥니다. -sd-webui가 멈추거나 GPU를 보호하기 위한 목적입니다. - -#### Auto scale if "Block over-scaled image" enabled - -이 기능을 설정하면 위에서 언급한 "Block over-scaled image"로 차단될 경우 본래 이미지의 면적에 맞춰서 스케일을 조정하여 작업합니다. - -#### Upscale Ratio - -인물이 발견되면 주어진 비율로 키워서 자세하게 그립니다. - -#### Denoising Strength - -인물의 크기가 클 경우 0.4로 부족할 수 있습니다. 이런 경우 수치를 올려주세요. - -#### Dilation mask - -찾아낸 인물의 마스크를 확장합니다. - -#### CFG Scale - -인물을 다시 그릴때 사용하는 CFG scale 값입니다. - -#### Large person area limit - -인물이 이미지 속에서 차지하는 면적이 이 값을 초과하면 작업하지 않습니다. -인물이 충분히 큰 경우 다시 그릴 필요가 없기 때문입니다. - -#### Limit - -이미지 속에 인물이 너무 많은 경우 면적단위로 큰 것부터 카운트하여 설정값을 초과하여 다시 그리지 않습니다. - - - - - - -## Face - -### Face Detailing - -이 기능을 사용하게 되면 프로세스가 완료된 이후 After Detailer(AD)나 Detection Detailer(DD)와 같이 -얼굴을 보정합니다. -이 기능을 동작시킨 후에 AD, DD가 동작하도록 설정한다면, 결과가 좋지 않을 수 있습니다. - - - -최대 5개의 캐릭터에 대해 prompt를 별도로 지정할 수 있습니다. - -#### Enable face detailing - -face detailing 기능을 켜고 끌 수 있습니다. - -#### Enable face detailing before hires.fix (EXPERIMENTAL) - -face detailing 기능을 txt2img 과정의 hires.fix 직전에 한 번 더 수행합니다. -얼굴을 보정한 이후에 upscale을 하기 때문에 더 좋은 품질의 이미지를 얻을 수 있습니다. -하지만 부하가 더 들어가고, 이미지 변화가 심합니다. - -#### Face detailing sort by - -이미지 안에 여러 인물이 있는 경우 어떤 순서로 Detailing 할 것인지 결정합니다. - - - - -왼쪽, 오른쪽 혹은 크기로 가능하며 없다면 기본적으로 Score 값이 높은 순서로 합니다. - -#### Limit - -이미지 않에 여러 인물이 있는 경우 위에서 정한 순서로 얼마나 수행할지 결정합니다. -Limit이 1이라면 최대 1개만 수행한다는 뜻입니다. - -#### Override Parameters - -* Denoising Strength -* CFG Scale -* Width -* Height -* Steps -* Mask Blur - -위 값에 대해 기본값이 아닌 UI에서 지정한 값을 사용합니다. - -#### Inpaint Area - -전체를 다시 그릴지 얼굴만 다시 그릴지를 결정합니다. 전체를 다시 그리는 것은 별로 추천하지 않습니다. - -#### Only masked padding, pixels - -기본값을 사용해 주세요. - -#### Dilation - -검출된 얼굴의 마스크 크기를 키웁니다. - -#### Box threshold - -Detector의 검출 값을 결정합니다. 기본값 0.35보다 작으면 face가 아닐 것으로 제외합니다. -YOLO를 사용하는 경우 confidence를 대체합니다. - -**좋은 결과를 얻기 위한 조언** - -* Prompt에 얼굴 관련된 lora, textual inversion등 관련 내용을 뺍니다. sunglass 등은 무관합니다. -* 설정 파일에 얼굴마다 서로 다른 lora, textual inversion 등을 넣습니다. -* prompt에 lora, TI가 많을 경우 그림 생성 자유도가 떨어지는 것 같습니다. -* 그림속 모든 캐릭터가 공유되는 lora는 넣어주셔도 무방합니다. - - - -## Hand - -### Hand Detailing (EXPERIMENTAL) - -손 표현이 잘못된 부분을 수정하는 기능입니다. -만들어진 그림에서 손 부분을 자동으로 찾아내어 해당 부분을 다시 그리는 기능입니다. -다만 손의 경우 다시 그려도 잘 그려질지 확실하지 않으며, 손을 자세하게 그리는 정도입니다. - - - -#### Enable hand detailing - -손 보정 기능을 사용하도록 활성화 합니다. - -#### Block over-scaled image - -이 기능은 손을 찾아내어 확대해서 다시그리는 방법을 사용합니다. -다시 그려야 하는 부분의 면적이 원래이미지를 초과하게 되면 작업을 수행하지 않습니다. -이런 경우에는 Upscale Ratio를 줄이거나, 이 기능을 꺼야하는데, 이 기능을 끄면 매우 큰 그림을 다시 그릴 수도 있어서 GPU에 부하가 걸릴 수 있습니다.. - -#### Method -* subframe : 손을 포함하여 얼굴/머리 부분까지 찾아내어 상반신을 다시 그린다. -* each hand : 손을 찾아내여 3배 크기의 주변부 까지 다시 그려 손만 적용한다. -* each hand inpaint : 손을 찾아내어 3재 크기의 주변부를 기반으로 손만 다시 그린다. - 매우 극단적으로 변형될 수 있어서 잘 그려지기 어렵다 모양이 갖춰진다면, subframe으로 다시 그리는 것을 추천한다. -* at once : 찾아낸 손을 모두 한번에 다시 그린다. - - -#### Prompt - -Subframe에서는 입력하지 않을 것을 권장합니다. -each hand, each hand inpaint시에 손 관련 프롬프트를 입력합니다. - -#### Negative Prompt - -Subframe에서는 입력하지 않을 것을 권장합니다. -each hand, each hand inpaint시에 손 관련 네거티브 프롬프트를 입력합니다. - -#### Denoising Strength - -다시 그리는 경우 Denoising Strength 값 입니다. -* subframe : 0.4 권장 -* 기타 0.55 이상 권장 - -#### CFG Scale - -다시 그리는 경우 CFG Scale 값 입니다. - -#### Upscale Ratio -상반신 / 손 주변을 찾아내어 얼마나 크게 확대하여 다시 그릴 것인지 지정한다. -무조건 크게 그린다고 성공확률이 올라가는 것은 아니다. -* subframe : 2.0 -* 기타 : 2.0~4.0 - -#### Box Threshold - -손을 찾아내지 못하는 경우 이 값을 낮추면, 찾아낼 수 있는 확률이 올라갑니다. -하지만 잘 못 찾아낼 가능성도 올라갑니다. - -#### Box Dilation - -찾아낸 박스(손을 포함하여)의 외곽 부분을 얼마나 크게 할 것이 결정합니다. (only for subframe) - -#### Inpaint Area - -찾아낸 박스 전체를 다시 그릴 것인지, 손만 다시 그릴 것인지를 결정한다. -손만 다시그리는 경우 손 모양이 원하지 않게 바뀔 수 있으나 크게 변경된다. - -#### Only masked padding - -찾아낸 손의 내부 공간을 얼마 정도로 채울지를 결정합니다. 딱히 변경할 일 없습니다. - -#### Additional Parameter - -현재는 제공하지 않지만 향후 고급 사용자를 위한 옵션을 제공할 예정입니다. - - - -## ControlNet - -ControlNet을 이용하여 이미지에 노이즈를 추가하는 방법으로 디테일을 올리는 기능입니다. -ControlNet의 Lineart 모델에 가우시안 노이즈 이미지를 입력으로 사용하여, -결과물에 다양하고 복잡한 디테일을 추가합니다. - -#### Noise Strength - -노이즈 강도를 지정합니다. (0.4 권장) - -#### Begin - -Sampling 단계 시작점 - -#### End - -Sampling 단계 끝점 - -보통의 경우 0.4, 0, 0.4를 권장합니다. 혹은 이미지가 과도하게 그려질 경우 0.2, 0, 0.4 정도로 추천합니다. -과도하게 이미지가 그려진 경우 refiner를 사용하면 이미지를 어느 정도 안정시킬 수 있습니다. - -아래는 모두 같은 seed입니다. - - - - - - - - - - - -
기본이미지0.40.7
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diff --git a/3-bmab/docs/kr/manual.md b/3-bmab/docs/kr/manual.md deleted file mode 100644 index 744aec132e00dc9cb7acd0293ba2e921feaf294e..0000000000000000000000000000000000000000 --- a/3-bmab/docs/kr/manual.md +++ /dev/null @@ -1,65 +0,0 @@ - -## Quick Test - -Enable을 체크하고 Config Tab에서 Preset "example"을 선택합니다. - -contrast: 1.2 -brightness: 0.9 -sharpeness: 1.5 - -Edge enhancement 적용 -Face Detailing 적용 -Resize by person 적용 - - - -## 기본 옵션 - -Enabled (VERSION): 기능을 켜고 끌 수 있습니다. - -### Resize and fill override - -Img2Img를 수행하는 경우 "Resize and fill" 을 선택하게 되면 -통상 좌우, 상하로 늘어나거나 비율이 같다면 그대로 크기만 변경됩니다. - -Enabled 된 상태에서는 항상 이미지가 아래에 위치하고, -왼쪽, 오른쪽, 윗쪽으로 비율에 맞게 늘어납니다. - -인물의 윗쪽으로 여백이 없는 경우에 적용하면 효과적입니다. -너무 크게 늘리게 되면 좋은 결과를 얻기 힘듭니다. -대략 1.1, 1.2 정도 스케일에서 사용하시길 권장합니다. - -

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- -# Preprocess - -본 이미지 변경을 하기 전에 사전 처리 과정을 수행합니다. -조건에 따라 hires.fix 과정에 개입할 수도 있습니다. - -Preprocess - -# BMAB - -Person, Hand, Face detailer를 수행하거나, 이미지 합성 혹은 노이즈 추가등의 기능을 수행합니다. - -bmab - -# Postprocess - -이미지 처리가 완료된 이후, 인물의 크기에 따라 배경을 확장하거나 upscale을 할 수 있습니다. - -Postprocess - - -# API - -stable diffusion webui의 API 기능을 호출할때 BMAB extension을 사용할 수 있습니다. - -API Guide diff --git a/3-bmab/docs/kr/postprocess.md b/3-bmab/docs/kr/postprocess.md deleted file mode 100644 index 2fc66330d0a198fb6b0640fcfa95091748bbf898..0000000000000000000000000000000000000000 --- a/3-bmab/docs/kr/postprocess.md +++ /dev/null @@ -1,66 +0,0 @@ - - -# PostProcessing - -## Resize - -### Resize by person - -그림 속 인물중 가장 신장이 큰 사람의 길이와 그림 높이의 비율이 설정값을 넘어가면 비율을 설정값로 맞추는 기능입니다. -설정값이 0.90이고 인물의 전체 길이: 그림 높이의 비율이 0.95라고 한다면 -배경을 늘려서 인물의 비율이 0.90이 되도록 합니다. -배경은 왼쪽, 오른쪽, 위쪽으로 늘어납니다. - - -이 기능은 2가지 방법을 제공하는데 다음과 같습니다. - -#### Inpaint - -Face Detailing과 같은 방법으로 이미지가 완전히 생성되고 난 후에 주변부를 확장합니다. -이때 이미 생성된 이미지를 훼손하지 않고 주변부만 확장하기 때문에 직관적으로 확인이 가능합니다. -가장 빠르고 효과적으로 추천합니다. - -#### Inpaint + lama - -Inpaint와 같은 방법인데 BMAB에서 ControlNet을 불러서 Inpaint+lama를 이용해서 동작합니다. -이미지가 생성되고나서 디테일링 시작하기 전에 img2img를 이용하여 배경을 확장하여 전체적으로 인물을 작게 만드는 효과가 있습니다. - - - - - - - - - - - - - - -
- -이 두가지 방법은 생성된 이미지를 축소하기만 할뿐 훼손하지 않습니다. -이것이 Resize intermediate와 다른점입니다. - - -## Upscaler - -최종적으로 이미지가 완성되고 난 이후에 이미지를 upscaler를 이용하여 크게 만듭니다. - - -#### Enable upscale at final stage - -이미지 생성이 완료되고 난 이후에 Upscale을 수행합니다. -960x540으로 생성하고 hires.fix를 x2로 하면 1920x1080 이미지가 나오는데 -여기서 Upscale을 x2를 하면 4K 이미지가 나오게 됩니다. - -#### Detailing after upscale - -이 옵션을 설정하면 위에서 언급한 Person, Face, Hand 에 대한 detailing을 upscale 이후에 수행합니다. - -#### Upscale Ratio - -이미지를 얼마나 upscale할지 결정합니다. - - diff --git a/3-bmab/docs/kr/preprocess.md b/3-bmab/docs/kr/preprocess.md deleted file mode 100644 index 598d6670bd472d1a871ad0c69b7f975b7d17c4d2..0000000000000000000000000000000000000000 --- a/3-bmab/docs/kr/preprocess.md +++ /dev/null @@ -1,425 +0,0 @@ - -# Preprocess - -## Context - -BMAB에서 사용할 Checkpoint와 VAE를 지정합니다. -특정 기능들은 자체 Checkpoint와 VAE를 설정할 수 있습니다. -한 번 변경된 Checkpoint는 그 이후 프로세스들이 계속 사용합니다. - - - -#### txt2img noise multiplier for hires.fix - -hires.fix 단계에서 noise를 추가 할 수 있다. - -#### txt2img extra noise multiplier for hires.fix (EXPERIMENTAL) - -hires.fix 단계에서 추가적인 noise를 더 할 수 있다. - -#### Hires.fix filter before upscaler - -Hires.fix 단계 중 upscaler 전에 filter를 적용할 수 있다. - -#### Hires.fix filter after upscaler - -Hires.fix 단계 중 upscaler 후에 filter를 적용할 수 있다. - - -## Resample (EXPERIMENTAL) - -Self resampling 기능입니다. txt2img -> hres.fix를 통해 생성된 이미지를 다시 txt2img -> hires.fix 과정을 수행하면서 -ControlNet Tile Resample을 수행합니다. 아래와 같은 경우 사용할 수 있습니다. - -* 두 모델간에 결과물 차이가 큰 경우 -* 두 모델간에 인물 비율이 차이나는 경우 -* 두 모델간 버전이 다른 경우 (SDXL, SD15) - - - - - - - - - - -
txt2img->hires.fixResample + BMAB Basic
- - -BMAB resample image by [padapari](https://www.instagram.com/_padapari_/) - -
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-
-
- - - - -#### Enable self resample (EXPERIMENTAL) - -이 기능을 켜고 끌 수 있습니다. - -#### Save image before processing - -최초 txt2img -> hires.fix를 통해 생성된 이미지가 후 처리를 위해 BMAB로 입력되면, -해당 이미지를 프로세싱하기 전에 저장합니다. 이미지 postfix로 "-before-resample"이 붙습니다. - -#### Checkpoint - -SD Checkpoint를 지정할 수 있습니다. 지정하지 않는다면 앞에서 설정된 Checkpoint를 사용합니다. -프로세스가 완료되어도 원래 것으로 돌려놓지 않습니다. - -#### SD VAE - -SD VAE를 지정할 수 있습니다. 지정하지 않는다면 앞에서 설정된 VAE를 사용합니다. -프로세스가 완료되어도 원래 것으로 돌려놓지 않습니다. - -#### Resample method - -Resample 방법을 선택할 수 있습니다. - -txt2img-1pass : txt2img을 hires.fix 없이 동작시킨다. -txt2img-2pass : txt2img를 hires.fix로 동작시킨다. 기본적으로 이미지를 출력할 때 hires.fix가 동작해야하만 한다. -img2img-1pass : img2img로 동작시킨다. - -#### Resample filter - -Resample이 완료되고 난 이후에 외부 filter 코드를 호출하여 이미지 변환을 추가적으로 수행할 수 있다. - - -#### Resample prompt - -resampling 과정에서 사용할 prompt입니다. 비어있는 경우 main prompt와 동일하며, -"#!org!#" 를 입력하면 main prompt를 대체합니다. "#!org!#" 이후에 추가로 prompt를 적을 수 있습니다. -ex) #!org!#, soft light, some more keyword - -#### Resample negative prompt - -resampling 과정에서 사용할 prompt입니다. 비어있는 경우 main negative prompt와 동일합니다. - -#### Sampling method - -프로세스에 사용할 sampling method를 지정합니다. 지정하지 않는다면 이전 프로세스와 같은 sampler를 지정합니다. - -#### Upsacler - -hires.fix를 사용하는 경우에 지정하는 upscaler입니다. - -#### Resample sampling steps - -resample process 사용할 samping steps를 지정합니다. -(권장 20) - -#### Resample CFG scale - -resample process 사용할 CFG scale 값을 지정합니다. -dynamic threshold는 지원하지 않습니다. - -#### Resample denoising strength - -resample process가 사용할 denoising strength를 지정합니다. -(권장 0.4) - -#### Resample strength - -0에 가까운 값은 입력 이미지와 멀어지고, 1에 가까울 수록 원본 이미지와 유사합니다. - -#### Resample begin - -sampling 단계에 적용 시작점. - -#### Resample end - -sampling 단계 적용 종료 시점. - - - - - - - - -## Pretraining (EXPERIMENTAL) - -Pretraining detailer입니다. ultralytics로 pretraining 모델을 적용하여 detection을 수행하고 -이를 기반으로 prompt, negative prompt를 적용하여 부분적으로 이미지를 더 자세하게 그릴 수 있습니다. - - - -#### Enable pretraining detailer (EXPERIMENTAL) - -이 기능을 켜고 끌 수 있습니다. - -#### Enable pretraining before hires.fix - -pretraining detailer를 hires.fix 전에 수행하도록 한다. - -#### Pretraining model - -ultralytics 로 학습된 detection model (*.pt)를 지정할 수 있습니다. -stable-diffusion-webui/models/BMAB에 해당 파일이 있어야 목록에 나타납니다. - - -#### Pretraining prompt - -pretraining detailer process 과정에서 사용할 prompt입니다. 비어있는 경우 main prompt와 동일하며, -"#!org!#" 를 입력하면 main prompt를 대체합니다. "#!org!#" 이후에 추가로 prompt를 적을 수 있습니다. -ex) #!org!#, soft light, some more keyword - -#### Pretraining negative prompt - -pretraining detailer process 과정에서 사용할 prompt입니다. 비어있는 경우 main negative prompt와 동일합니다. - -#### Sampling method - -프로세스에 사용할 sampling method를 지정합니다. 지정하지 않는다면 이전 프로세스와 같은 sampler를 지정합니다. - - -#### Pretraining sampling steps - -resample process 사용할 samping steps를 지정합니다. -(권장 20) - -#### Pretraining CFG scale - -resample process 사용할 CFG scale 값을 지정합니다. -dynamic threshold는 지원하지 않습니다. - -#### Pretraining denoising strength - -resample process가 사용할 denoising strength를 지정합니다. -(권장 0.4) - -#### Pretraining dilation - -detection 된 사각형의 범위를 주어진 값 만큼 크기를 크게 합니다. - -#### Pretraining box threshold - -Detector의 검출 값을 결정합니다. 기본값 0.35보다 작으면 face가 아닐 것으로 제외합니다. -ultralytics predict의 confidence 값입니다. - - - -## Edge enhancemant - -이미지 경계를 강화해 선명도를 증가시키거나 디테일을 증가시키는 기능입니다. - -**Upscaler가 Latent 계열인 경우 동작하지 않습니다. (R-ESRGAN, 4x-UltraSharp 추천)** - - - -권장설정 - -* Edge low threshold : 50 -* Edge high threshold : 200 -* Edge strength : 0.5 - -

- - -

- -Enabled : CHECK!! - -Contrast : 1.2 -Brightness : 0.9 -Sharpeness : 1.5 - -Enable edge enhancement : CHECK!! -Edge low threshold : 50 -Edge high threshold : 200 -Edge strength : 0.5 - - - - -## Resize - -txt2img -> hires.fix 의 중간 과정에서 동작합니다.. -만약 img2img에서 사용한다면, 프로세스 시작 전에 동작합니다. - -그림 속 인물중 가장 신장이 큰 사람의 길이와 그림 높이의 비율이 설정값을 넘어가면 비율을 설정값로 맞추는 기능입니다. -설정값이 0.90이고 인물의 전체 길이: 그림 높이의 비율이 0.95라고 한다면 -배경을 늘려서 인물의 비율이 0.90이 되도록 합니다. -배경은 Alignment에서 지정한 방식에 따라 늘어납니다. - -txt2img 수행하는 단계에서 hires.fix 하기 직전에 이미지를 변경합니다. -이 과정은 변경된 이미지가 hires.fix 과정에서 매끄럽게 변하게 하기 위한 것입니다. -**denoising strength는 0.6~0.7 정도를 사용하셔야 주변부 이미지 왜곡이 발생하지 않습니다.** -**Upscaler가 Latent 계열인 경우 동작하지 않습니다. (R-ESRGAN, 4x-UltraSharp 추천)** - -#### Method - -Resize 하는 방식을 지정할 수 있습니다. - -* Stretching : 단순히 이미지를 외곽부분을 늘려서 배경을 확장합니다. -* inpaint : Stretching된 이미지를 mask를 사용하여 늘린 부분만 img2img inpainting을 수행합니다. -* inpaint+lama : Controlnet의 inpaint+lama 모델을 사용하여 확장된 영역을 다시 그립니다. -* inpaint_only : Controlnet의 inpaint_only를 사용하여 확장된 영역을 다시 그립니다. - - -#### Alignment - -이미지를 확장하고 원래 이미지를 어느 방향으로 정렬할 것인지를 결정합니다. - - - -#### Resize filter - -Resize가 완료되고 난 이후에 외부 filter 코드를 호출하여 이미지 변환을 추가적으로 수행할 수 있다. - - -#### Resize by person intermediate - -인물의 크기 비율을 나타냅니다. 이 값을 초과하면 이 크기가 되도록 배경을 확장시킵니다. - - - - - - - - - - - - - - -
OriginalResize 0.7Resize 0.5
- - - - - - - - - - - - - - - - - - -
OriginalAlignment center
Alignment bottomAlignment bottom-left
- - -Resize sample - - - - - - - - - - - - - - -## Refiner - -txt2img에서 만들어진 이미지를 한번 더 그리는 과정을 수행한다. -txt2img + hires.fix 가 된 상황에서도 유효하다. - -refiner는 이미지가 생성되고 detailing 하기전에 동작하며, -sd-webui의 hires.fix + refiner를 합친 동작과 비슷하다. - - - - - - - - - - - - - - -
txt2img(512x768)txt2img + hires.fix(800x1200)txt2img + hires.fix + refiner(1200x1800)
- - -(위 예제는 결과를 모두 resize하여 동일한 크기이다.) - -위 예제와 같이 3단계로 처리할 수도 있으나, -hires.fix 단계 없이 refiner로 resize하여 처리할 수도 있다. - - - -

- -

- -#### Enable refiner - -refiner 사용 여부를 체크합니다. - -#### CheckPoint - -refiner를 이용하여 다시 그릴때 사용할 checkpoint를 지정합니다. - -#### Use this checkpoint for detailing - -위에서 지정한 checkpoint를 이용하여 detailing에 적용합니다. - -#### Prompt - -refiner가 이미지를 다시 그릴때 사용하는 prompt를 지정합니다. -비어있다면 main prompt와 동일하고,채워져 있다면 main prompt를 무시합니다. -만약 #!org!# 문자열이 있다면 main prompt를 대체합니다. - -#### Negative prompt - -refiner가 이미지를 다시 그릴때 사용하는 negative prompt를 지정합니다. - -#### Sampling method - -refiner가 사용할 sampler를 지정할 수 있습니다. -(Euler A 권장) - -#### Upscaler - -refiner가 이미지를 resize하는 경우 사용할 upscaler를 지정합니다. - -#### Refiner sampling steps - -refiner가 사용할 samping steps를 지정합니다. -(권장 20) - -#### Refiner CFG scale - -refiner가 사용할 CFG scale 값을 지정합니다. -dynamic threshold는 지원하지 않습니다. - -#### Refiner denoising strength - -refiner가 사용할 denoising strength를 지정합니다. -(권장 0.4) - -#### Refiner scale - -refiner가 주어진 이미지를 scale 값으로 resize합니다. -만약 refiner width, refiner height가 설정되어있다면 무시됩니다. - -#### Refiner width - -이미지 폭을 해당 값으로 강제로 설정합니다. - -#### Refiner height - -이미지 높이를 해당 값으로 강제로 설정합니다. - -
-
-
diff --git a/3-bmab/docs/masking.md b/3-bmab/docs/masking.md deleted file mode 100644 index fc6dfd392a1894f9808baf3e43b26682410ec06b..0000000000000000000000000000000000000000 --- a/3-bmab/docs/masking.md +++ /dev/null @@ -1,31 +0,0 @@ - -# Auto Masking - -## Detect - -* Img2Img 인물 사진을 추가한다. -* Just resize 선택 -* Resize를 하면서 크기를 키워야 좋은 결과를 얻을 수 있다. -예제의 경우는 512x768 --> 800x1200 으로 resize한 것이다. -* Denoising Strength는 0.4~0.6 정도를 설정한다. -모델별로 다르지만, 배경까지 심하게 바뀌는 경우 숫자를 줄인다. - -

- -

- -* BMAB를 Enable 한다. -* 반드시 Process before img2img를 체크한다. -* Detect enabled 체크하고 prompt에 person, 1girl, human...뭐든.. - -

- -

- -* 최종적으로 좋은 결과를 내기 위해서 합쳐진 이미지를 프롬프트로 잘 표현해야 한다. -* 프롬프트가 없거나 적당히 적으면 원하는 이미지에서 멀어지기 때문에 프롬프트가 매우 중요하다. - -

- -

- diff --git a/3-bmab/filter/Put filter file here.txt b/3-bmab/filter/Put filter file here.txt deleted file mode 100644 index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000 diff --git a/3-bmab/models/Put model file here.txt b/3-bmab/models/Put model file here.txt deleted file mode 100644 index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000 diff --git a/3-bmab/requirements.txt b/3-bmab/requirements.txt deleted file mode 100644 index c9d018e4b32a022d270bae7644dc72994338ca54..0000000000000000000000000000000000000000 --- a/3-bmab/requirements.txt +++ /dev/null @@ -1,9 +0,0 @@ -segment_anything -segment_anything_hq -ultralytics -pillow - -basicsr==1.4.2 -kornia -omegaconf -numpy diff --git a/3-bmab/resources/preset/3girls.json b/3-bmab/resources/preset/3girls.json deleted file mode 100644 index 2a34de9568123a619e64a89618095e82bb06ec9f..0000000000000000000000000000000000000000 --- a/3-bmab/resources/preset/3girls.json +++ /dev/null @@ -1,46 +0,0 @@ -{ - "enabled": true, - "contrast": 1.2, - "brightness": 0.9, - "sharpeness": 1.5, - "execute_before_img2img": true, - "edge_flavor_enabled": true, - "edge_low_threadhold": 50, - "edge_high_threadhold": 200, - "edge_strength": 0.5, - "resize_by_person_enabled": true, - "resize_by_person": 0.85, - "face_detailing_enabled": true, - "module_config": { - "multiple_face": [ - { - "denoising_strength": 0.40, - "prompt": "smile, #!org!#", - "inpaint_full_res": true, - "inpaint_full_res_padding": 32, - "cfg_scale": 7 - }, - { - "denoising_strength": 0.40, - "prompt": "sad, #!org!#", - "inpaint_full_res": true, - "inpaint_full_res_padding": 32, - "cfg_scale": 7 - }, - { - "denoising_strength": 0.40, - "prompt": "sad, #!org!#", - "width": 512, - "height": 512, - "inpaint_full_res": true, - "inpaint_full_res_padding": 32, - "cfg_scale": 7 - } - ], - "multiple_face_opt": { - "mask dilation": 4, - "limit": -1, - "order": "left" - } - } -} diff --git a/3-bmab/resources/preset/Put config file here.txt b/3-bmab/resources/preset/Put config file here.txt deleted file mode 100644 index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000 diff --git a/3-bmab/resources/preset/example.json b/3-bmab/resources/preset/example.json deleted file mode 100644 index a7866abeeb321a4cb98ed94c4c591ce5786f558a..0000000000000000000000000000000000000000 --- a/3-bmab/resources/preset/example.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "enabled": true, - "contrast": 1.2, - "brightness": 0.9, - "sharpeness": 1.5, - "edge_flavor_enabled": true, - "edge_low_threadhold": 50, - "edge_high_threadhold": 200, - "edge_strength": 0.5, - "resize_by_person_enabled": true, - "resize_by_person": 0.85, - "face_detailing_enabled": true, - "module_config": { - "face_detailing": { - "denoising_strength": 0.40, - "prompt": "smile, #!org!#", - "inpaint_full_res": true, - "inpaint_full_res_padding": 32, - "cfg_scale": 7 - }, - "face_detailing_opt": { - "mask dilation": 4 - } - } -} diff --git a/3-bmab/resources/preset/example2.json b/3-bmab/resources/preset/example2.json deleted file mode 100644 index b9369d02aa10b235e9ffcd60d74b8f19c0e25575..0000000000000000000000000000000000000000 --- a/3-bmab/resources/preset/example2.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "enabled": true, - "contrast": 1.2, - "brightness": 0.9, - "sharpeness": 1.5, - "edge_flavor_enabled": true, - "edge_low_threadhold": 50, - "edge_high_threadhold": 200, - "edge_strength": 0.5, - "resize_by_person_enabled": true, - "resize_by_person": 0.85, - "face_detailing_enabled": true, - "module_config": { - "face_detailing": { - "denoising_strength": 0.40, - "prompt": ", (ulzzang-6500:0.4), #!org!#", - "width": 512, - "height": 512, - "inpaint_full_res": true, - "inpaint_full_res_padding": 32, - "cfg_scale": 7 - }, - "face_detailing_opt": { - "mask dilation": 4 - } - } -} diff --git a/3-bmab/resources/preset/hand.json b/3-bmab/resources/preset/hand.json deleted file mode 100644 index 062fdd139e105101ca90b110e08d907036d2b67e..0000000000000000000000000000000000000000 --- a/3-bmab/resources/preset/hand.json +++ /dev/null @@ -1,18 +0,0 @@ -{ - "enabled": true, - "hand_detailing_enabled": true, - "module_config": { - "hand_detailing": { - "denoising_strength": 0.4, - "steps": 20, - "cfg_scale": 7, - "inpaint_full_res": 0, - "inpaint_full_res_padding": 32 - }, - "hand_detailing_opt": { - "scale": 2, - "mode": "inpaint", - "detailing method": "subframe" - } - } -} diff --git a/3-bmab/resources/preset/hand2.json b/3-bmab/resources/preset/hand2.json deleted file mode 100644 index 47faa563408ff2d4eca56e22a40669c64f741434..0000000000000000000000000000000000000000 --- a/3-bmab/resources/preset/hand2.json +++ /dev/null @@ -1,20 +0,0 @@ -{ - "enabled": true, - "hand_detailing_enabled": true, - "module_config": { - "hand_detailing": { - "denoising_strength": 0.5, - "prompt": "(good anatomy:1.2), (five fingers:1.3), pretty hands, detail hands, detail fingers, detail nails", - "negative_prompt": "(bad anatomy:1.2), (wrong anatomy:1.2), mutation, amputation, extra fingers, missing fingers, disconnected fingers", - "steps": 20, - "cfg_scale": 7, - "inpaint_full_res": 0, - "inpaint_full_res_padding": 32 - }, - "hand_detailing_opt": { - "scale": 4, - "mode": "inpaint", - "detailing method": "each hand" - } - } -} diff --git a/3-bmab/scripts/__pycache__/sd_webui_bmab.cpython-310.pyc b/3-bmab/scripts/__pycache__/sd_webui_bmab.cpython-310.pyc deleted file mode 100644 index 53889c66eaeed4661aea1d4062fb4896a6bea50a..0000000000000000000000000000000000000000 Binary files a/3-bmab/scripts/__pycache__/sd_webui_bmab.cpython-310.pyc and /dev/null differ diff --git a/3-bmab/sd_bmab/__pycache__/__init__.cpython-310.pyc b/3-bmab/sd_bmab/__pycache__/__init__.cpython-310.pyc deleted file mode 100644 index dea9ccd11d1166c93e6699f445ae63880f9a5871..0000000000000000000000000000000000000000 Binary files a/3-bmab/sd_bmab/__pycache__/__init__.cpython-310.pyc and 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b/3-bmab/sd_bmab/external/lama/config.yaml deleted file mode 100644 index 55fd91b5bcacd654e3045a2331e9c186818e6edc..0000000000000000000000000000000000000000 --- a/3-bmab/sd_bmab/external/lama/config.yaml +++ /dev/null @@ -1,157 +0,0 @@ -run_title: b18_ffc075_batch8x15 -training_model: - kind: default - visualize_each_iters: 1000 - concat_mask: true - store_discr_outputs_for_vis: true -losses: - l1: - weight_missing: 0 - weight_known: 10 - perceptual: - weight: 0 - adversarial: - kind: r1 - weight: 10 - gp_coef: 0.001 - mask_as_fake_target: true - allow_scale_mask: true - feature_matching: - weight: 100 - resnet_pl: - weight: 30 - weights_path: ${env:TORCH_HOME} - -optimizers: - generator: - kind: adam - lr: 0.001 - discriminator: - kind: adam - lr: 0.0001 -visualizer: - key_order: - - image - - predicted_image - - discr_output_fake - - discr_output_real - - inpainted - rescale_keys: - - discr_output_fake - - discr_output_real - kind: directory - outdir: /group-volume/User-Driven-Content-Generation/r.suvorov/inpainting/experiments/r.suvorov_2021-04-30_14-41-12_train_simple_pix2pix2_gap_sdpl_novgg_large_b18_ffc075_batch8x15/samples -location: - data_root_dir: /group-volume/User-Driven-Content-Generation/datasets/inpainting_data_root_large - out_root_dir: /group-volume/User-Driven-Content-Generation/${env:USER}/inpainting/experiments - tb_dir: /group-volume/User-Driven-Content-Generation/${env:USER}/inpainting/tb_logs -data: - batch_size: 15 - val_batch_size: 2 - num_workers: 3 - train: - indir: ${location.data_root_dir}/train - out_size: 256 - mask_gen_kwargs: - irregular_proba: 1 - irregular_kwargs: - max_angle: 4 - max_len: 200 - max_width: 100 - max_times: 5 - min_times: 1 - box_proba: 1 - box_kwargs: - margin: 10 - bbox_min_size: 30 - bbox_max_size: 150 - max_times: 3 - min_times: 1 - segm_proba: 0 - segm_kwargs: - confidence_threshold: 0.5 - max_object_area: 0.5 - min_mask_area: 0.07 - downsample_levels: 6 - num_variants_per_mask: 1 - rigidness_mode: 1 - max_foreground_coverage: 0.3 - max_foreground_intersection: 0.7 - max_mask_intersection: 0.1 - max_hidden_area: 0.1 - max_scale_change: 0.25 - horizontal_flip: true - max_vertical_shift: 0.2 - position_shuffle: true - transform_variant: distortions - dataloader_kwargs: - batch_size: ${data.batch_size} - shuffle: true - num_workers: ${data.num_workers} - val: - indir: ${location.data_root_dir}/val - img_suffix: .png - dataloader_kwargs: - batch_size: ${data.val_batch_size} - shuffle: false - num_workers: ${data.num_workers} - visual_test: - indir: ${location.data_root_dir}/korean_test - img_suffix: _input.png - pad_out_to_modulo: 32 - dataloader_kwargs: - batch_size: 1 - shuffle: false - num_workers: ${data.num_workers} -generator: - kind: ffc_resnet - input_nc: 4 - output_nc: 3 - ngf: 64 - n_downsampling: 3 - n_blocks: 18 - add_out_act: sigmoid - init_conv_kwargs: - ratio_gin: 0 - ratio_gout: 0 - enable_lfu: false - downsample_conv_kwargs: - ratio_gin: 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