From ddd0472d815a72f0a71d0f09c4648d2011cb1774 Mon Sep 17 00:00:00 2001 From: chflame163 Date: Sat, 20 Jul 2024 22:25:21 +0800 Subject: [PATCH] commit TransparentBackgroundUltra node, add install_requirements.bat to easy install dependency package --- README.MD | 46 +++++++++- README_CN.MD | 50 +++++++++-- .../transparent_background_ultra_example.jpg | Bin 0 -> 137055 bytes image/transparent_background_ultra_node.jpg | Bin 0 -> 65518 bytes install_requirements.bat | 25 ++++++ install_requirements_aki.bat | 25 ++++++ py/imagefunc.py | 25 +----- py/transparent_background_ultra.py | 85 ++++++++++++++++++ pyproject.toml | 2 +- repair_dependency_list.txt | 5 +- requirements.txt | 1 + whl/docopt-0.6.2-py2.py3-none-any.whl | Bin 0 -> 13704 bytes 12 files changed, 228 insertions(+), 36 deletions(-) create mode 100644 image/transparent_background_ultra_example.jpg create mode 100644 image/transparent_background_ultra_node.jpg create mode 100644 install_requirements.bat create mode 100644 install_requirements_aki.bat create mode 100644 py/transparent_background_ultra.py create mode 100644 whl/docopt-0.6.2-py2.py3-none-any.whl diff --git a/README.MD b/README.MD index b96e786d..a620b7ca 100644 --- a/README.MD +++ b/README.MD @@ -20,7 +20,9 @@ Some JSON workflow files in the ```workflow``` directory, That's examples of how ## How to install +(Taking ComfyUI official portable package and Aki ComfyUI package as examples, please modify the dependency environment directory for other ComfyUI environments) +### Install plugin * Recommended use ComfyUI Manager for installation. * Or open the cmd window in the plugin directory of ComfyUI, like ```ComfyUI\custom_nodes```,type @@ -29,13 +31,26 @@ git clone https://github.com/chflame163/ComfyUI_LayerStyle.git ``` * Or download the zip file and extracted, copy the resulting folder to ```ComfyUI\custom_ Nodes``` -* Install dependency packages, open the cmd window in the ComfyUI_LayerStyle plugin directory like -```ComfyUI\custom_ Nodes\ComfyUI_LayerStyle``` and enter the following command: +### Install dependency packages +* for ComfyUI official portable package, double-click the ```install_requirements.bat``` in the plugin directory, for Aki ComfyUI package double-click on the ```install_requirements_aki.bat``` in the plugin directory, and wait for the installation to complete. + +* Or install dependency packages, open the cmd window in the ComfyUI_LayerStyle plugin directory like +```ComfyUI\custom_ Nodes\ComfyUI_LayerStyle``` and enter the following command, + +  for ComfyUI official portable package, type: ``` -..\..\..\python_embeded\python.exe -m pip install -r requirements.txt +..\..\..\python_embeded\python.exe -s -m pip install .\whl\docopt-0.6.2-py2.py3-none-any.whl +..\..\..\python_embeded\python.exe -s -m pip install -r requirements.txt +.\repair_dependency.bat ``` +  for Aki ComfyUI package, type: +``` +..\..\python\python.exe -s -m pip install .\whl\docopt-0.6.2-py2.py3-none-any.whl +..\..\python\python.exe -s -m pip install -r requirements.txt +.\repair_dependency.bat +``` * Restart ComfyUI. ## Common Issues @@ -65,7 +80,7 @@ This error is caused by the low version of ```transformers``` package. ### insightface Loading very slow This error is caused by the low version of ```protobuf``` package. -## For the issues with the above three dependency packages, please double click ```repair_dependency.bat``` (for Official ComfyUI Protable) or ```repair_dependency_aki.bat``` (for ComfyUI-aki-v1.x) in the plugin folder to automatically fix them. +#### For the issues with the above three dependency packages, please double click ```repair_dependency.bat``` (for Official ComfyUI Protable) or ```repair_dependency_aki.bat``` (for ComfyUI-aki-v1.x) in the plugin folder to automatically fix them. ### ValueError: Trimap did not contain foreground values (xxxx...) This error is caused by the mask area being too large or too small when using the ```PyMatting``` method to handle the mask edges. @@ -80,6 +95,7 @@ When this error has occurred, please check the network environment. ## Update **If the dependency package error after updating, please reinstall the relevant dependency packages.
+* Commit [TransparentBackgroundUltra](#TransparentBackgroundUltra) node, it remove background based on transparent-background model. * Change the VitMatte model of the [Ultra](#Ultra) node to a local call. Please download [all files of vitmatte model](https://huggingface.co/hustvl/vitmatte-small-composition-1k/tree/main) to the ```ComfyUI/models/vitmatte``` folder. * [GetColorToneV2](#GetColorToneV2) node add the ```mask``` method to the color selection option, which can accurately obtain the main color and average color within the mask. * [ImageScaleByAspectRatioV2](#ImageScaleByAspectRatioV2) node add the "background_color" option. @@ -1482,6 +1498,28 @@ Node options: * device: Set whether the VitMatte to use cuda. * max_megapixels: Set the maximum size for VitMate operations. +### TransparentBackgroundUltra +Using the transparent-background model to remove background has better recognition ability and speed, while also having ultra-high edge details. + +*Download [ckpt_base.pth](https://github.com/plemeri/transparent-background/releases/download/1.2.12/ckpt_base.pth), +[ckpt_fast.pth](https://github.com/plemeri/transparent-background/releases/download/1.2.12/ckpt_fast.pth) and +[ckpt_base_nightly.pth](https://github.com/plemeri/transparent-background/releases/download/1.2.12/ckpt_base_nightly.pth) + 3 files to ```ComfyUI/models/transparent-background``` folder. + +![image](image/transparent_background_ultra_example.jpg) + +Node Options: +![image](image/transparent_background_ultra_node.jpg) +* model: Select the model. +* detail_method: Edge processing methods. provides VITMatte, VITMatte(local), PyMatting, GuidedFilter. If the model has been downloaded after the first use of VITMatte, you can use VITMatte (local) afterwards. +* detail_erode: Mask the erosion range inward from the edge. the larger the value, the larger the range of inward repair. +* detail_dilate: The edge of the mask expands outward. the larger the value, the wider the range of outward repair. +* black_point: Edge black sampling threshold. +* white_point: Edge white sampling threshold. +* process_detail: Set to false here will skip edge processing to save runtime. +* device: Set whether the VitMatte to use cuda. +* max_megapixels: Set the maximum size for VitMate operations. + ### PersonMaskUltra Generate masks for portrait's face, hair, body skin, clothing, or accessories. Compared to the previous A Person Mask Generator node, this node has ultra-high edge details. The model code for this node comes from [a-person-mask-generator](https://github.com/djbielejeski/a-person-mask-generator), edge processing code from [ComfyUI-Image-Filters](https://github.com/spacepxl/ComfyUI-Image-Filters),thanks to the original author. diff --git a/README_CN.MD b/README_CN.MD index 01641fea..e0246e79 100644 --- a/README_CN.MD +++ b/README_CN.MD @@ -15,7 +15,9 @@ ## 安装方法 +(以ComfyUI官方便携包和秋叶整合包为例,其他ComfyUI环境请修改依赖环境目录) +### 安装插件 * 推荐使用 ComfyUI Manager 安装。 * 或者在CompyUI插件目录(例如“CompyUI\custom_nodes\”)中打开cmd窗口,键入 ``` @@ -24,13 +26,27 @@ git clone https://github.com/chflame163/ComfyUI_LayerStyle.git * 或者下载解压zip文件,将得到的文件夹复制到 ```ComfyUI\custom_nodes\```。 -* 安装依赖包,在资源管理器```ComfyUI\custom_nodes\ComfyUI_LayerStyle``` 插件目录位置打开cmd窗口,输入以下命令: +### 安装依赖包 + +* 官方便携包请双击运行插件目录下的```install_requirements.bat```,秋叶整合包请双击运行插件目录下的```install_requirements_aki.bat```,然后等待安装完成。 + +* 或者在资源管理器```ComfyUI\custom_nodes\ComfyUI_LayerStyle``` 插件目录位置打开cmd窗口, + +  官方便携包输入以下命令: + ``` -..\..\..\python_embeded\python.exe -m pip install -r requirements.txt +..\..\..\python_embeded\python.exe -s -m pip install .\whl\docopt-0.6.2-py2.py3-none-any.whl +..\..\..\python_embeded\python.exe -s -m pip install -r requirements.txt +.\repair_dependency.bat ``` +  秋叶整合包输入以下命令: - - 重新打开ComfyUI。 +``` +..\..\python\python.exe -s -m pip install .\whl\docopt-0.6.2-py2.py3-none-any.whl +..\..\python\python.exe -s -m pip install -r requirements.txt +.\repair_dependency.bat +``` +* 重新打开ComfyUI。 ## 常见问题 如果节点不能正常加载,或者使用中出现错误,请在ComfyUI终端窗口查看报错信息。以下是常见的错误及解决方法。 @@ -57,7 +73,7 @@ git clone https://github.com/chflame163/ComfyUI_LayerStyle.git ### insightface 加载缓慢 这是由于```protobuf``` 版本过低造成的。 -## 以上三个依赖包的问题,请双击运行插件目录下的```repair_dependency.bat```(官方便携包)或者```repair_dependency_aki.bat```(秋叶整合包)自动修复。 +#### 以上三个依赖包的问题,请双击运行插件目录下的```repair_dependency.bat```(官方便携包)或者```repair_dependency_aki.bat```(秋叶整合包)自动修复。 ### ValueError: Trimap did not contain foreground values (xxxx...) 这个错误是由于使用PyMatting方法处理遮罩边缘时,遮罩面积过大或者过小引起的。 @@ -80,6 +96,7 @@ git clone https://github.com/chflame163/ComfyUI_LayerStyle.git ## 更新说明 **如果本插件更新后出现依赖包错误,请重新安装相关依赖包。 +* 添加[TransparentBackgroundUltra](#TransparentBackgroundUltra) 节点,基于transparent-background模型,用于去除背景。 * [Ultra](#Ultra) 节点的VitMatte模型改为本地调用,请下载[所有的vitmatte模型文件](https://huggingface.co/hustvl/vitmatte-small-composition-1k/tree/main)到```ComfyUI/models/vitmatte```文件夹。 * [GetColorToneV2](#GetColorToneV2) 节点的取色选项增加```mask```方法,可精确获取遮罩内的主色和平均色。 * [ImageScaleByAspectRatioV2](#ImageScaleByAspectRatioV2) 节点增加background_color选项。 @@ -1462,6 +1479,29 @@ RemBgUltra的V2升级版,增加了VITMatte边缘处理方法。 * device: 设置是否使用cuda。 * max_megapixels: 设置vitmatte运算的最大尺寸。 +### TransparentBackgroundUltra +使用transparent-background模型去除背景,有更好的识别能力和识别速度,同时具有超高的边缘细节。 +本节点模型部分的代码来自[github.com/plemeri/transparent-background](https://github.com/plemeri/transparent-background),感谢原作者。 + +*下载 [ckpt_base.pth](https://github.com/plemeri/transparent-background/releases/download/1.2.12/ckpt_base.pth), +[ckpt_fast.pth](https://github.com/plemeri/transparent-background/releases/download/1.2.12/ckpt_fast.pth) 和 +[ckpt_base_nightly.pth](https://github.com/plemeri/transparent-background/releases/download/1.2.12/ckpt_base_nightly.pth) +3 个文件至```ComfyUI/models/transparent-background```文件夹。 + +![image](image/transparent_background_ultra_example.jpg) + +节点选项说明: +![image](image/transparent_background_ultra_node.jpg) +* model: 选择模型。 +* detail_method: 边缘处理方法。提供了VITMatte, VITMatte(local), PyMatting, GuidedFilter。如果首次使用VITMatte后模型已经下载,之后可以使用VITMatte(local)。 +* detail_erode: 遮罩边缘向内侵蚀范围。数值越大,向内修复的范围越大。 +* detail_dilate: 遮罩边缘向外扩张范围。数值越大,向外修复的范围越大。 +* black_point: 边缘黑色采样阈值。 +* white_point: 边缘黑色采样阈值。 +* process_detail: 此处设为False将跳过边缘处理以节省运行时间。 +* device: 设置是否使用cuda。 +* max_megapixels: 设置vitmatte运算的最大尺寸。 + ### PersonMaskUltra 为人物生成脸、头发、身体皮肤、衣服或配饰的遮罩。与之前的A Person Mask Generator节点相比,这个节点具有超高的边缘细节。 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+for /f "delims=" %%i in (%repair_dependency_txt%) do ( + %python_exec% -s -m pip install "%%i" + ) + +echo . +echo Install Finish! +pause + diff --git a/install_requirements_aki.bat b/install_requirements_aki.bat new file mode 100644 index 00000000..33027c63 --- /dev/null +++ b/install_requirements_aki.bat @@ -0,0 +1,25 @@ +@echo off + +set "python_exec=..\..\python\python.exe" +set "repair_dependency_txt=%~dp0\repair_dependency_list.txt" + +echo Installing with ComfyUI Portable +echo . +echo Install whl... +%python_exec% -s -m pip install ./whl/docopt-0.6.2-py2.py3-none-any.whl + +echo . +echo Install requirement.txt... +%python_exec% -s -m pip install -r ./requirements.txt + +echo . +echo Fixing Dependency Package... +%python_exec% -s -m pip uninstall -y opencv-python opencv-contrib-python opencv-python-headless opencv-contrib-python-headless +for /f "delims=" %%i in (%repair_dependency_txt%) do ( + %python_exec% -s -m pip install "%%i" + ) + +echo . +echo Install Finish! +pause + diff --git a/py/imagefunc.py b/py/imagefunc.py index 29ae57a4..6291135b 100644 --- a/py/imagefunc.py +++ b/py/imagefunc.py @@ -1097,29 +1097,6 @@ def gamma_trans(image:Image, gamma:float) -> Image: _corrected = cv2.LUT(cv2_image,gamma_table) return cv22pil(_corrected) -# def apply_lut(image:Image, lut_file:str, log:bool=False) -> Image: -# from colour.io.luts.iridas_cube import read_LUT_IridasCube, LUT3D, LUT3x1D -# lut: Union[LUT3x1D, LUT3D] = read_LUT_IridasCube(lut_file) -# lut.name = os.path.splitext(os.path.basename(lut_file))[0] # use base filename instead of internal LUT name -# -# im_array = np.asarray(image.convert('RGB'), dtype=np.float32) / 255 -# is_non_default_domain = not np.array_equal(lut.domain, np.array([[0., 0., 0.], [1., 1., 1.]])) -# dom_scale = None -# if is_non_default_domain: -# dom_scale = lut.domain[1] - lut.domain[0] -# im_array = im_array * dom_scale + lut.domain[0] -# if log: -# im_array = im_array ** (1 / 2.2) -# im_array = lut.apply(im_array) -# if log: -# im_array = im_array ** (2.2) -# if is_non_default_domain: -# im_array = (im_array - lut.domain[0]) / dom_scale -# im_array = im_array * 255 -# ret_image = Image.fromarray(np.uint8(im_array)) -# -# return ret_image - def apply_lut(image:Image, lut_file:str, colorspace:str, strength:int, clip_values:bool=True) -> Image: """ Apply a LUT to an image. @@ -2071,7 +2048,7 @@ def chat_response(self, message, history, image_path): **model_inputs, max_new_tokens=512, do_sample=True, - temperature=0.7, + temperature=0.3, repetition_penalty=1.2, stopping_criteria=StoppingCriteriaList([stop]) ) diff --git a/py/transparent_background_ultra.py b/py/transparent_background_ultra.py new file mode 100644 index 00000000..3bb58182 --- /dev/null +++ b/py/transparent_background_ultra.py @@ -0,0 +1,85 @@ +from transparent_background import Remover +from .imagefunc import * + +NODE_NAME = 'TransparentBackgroundUltra' +model_file_list = glob.glob(os.path.join(folder_paths.models_dir, "transparent-background") + '/*.pth') +model_dict = {} +for i in range(len(model_file_list)): + _, __filename = os.path.split(model_file_list[i]) + model_dict[__filename] = model_file_list[i] +model_list = list(model_dict.keys()) +mode_dict = {"ckpt_base.pth": "base", "ckpt_base_nightly.pth": "base-nightly", "ckpt_fast.pth": "fast"} +class TransparentBackgroundUltra: + + @classmethod + def INPUT_TYPES(cls): + method_list = ['VITMatte', 'VITMatte(local)', 'PyMatting', 'GuidedFilter', ] + device_list = ['cuda','cpu'] + return { + "required": { + "image": ("IMAGE",), + "model": (model_list,), + "detail_method": (method_list,), + "detail_erode": ("INT", {"default": 6, "min": 1, "max": 255, "step": 1}), + "detail_dilate": ("INT", {"default": 6, "min": 1, "max": 255, "step": 1}), + "black_point": ("FLOAT", {"default": 0.01, "min": 0.01, "max": 0.98, "step": 0.01, "display": "slider"}), + "white_point": ("FLOAT", {"default": 0.99, "min": 0.02, "max": 0.99, "step": 0.01, "display": "slider"}), + "process_detail": ("BOOLEAN", {"default": True}), + "device": (device_list,), + "max_megapixels": ("FLOAT", {"default": 2.0, "min": 1, "max": 999, "step": 0.1}), + }, + "optional": { + } + } + + RETURN_TYPES = ("IMAGE", "MASK", ) + RETURN_NAMES = ("image", "mask", ) + FUNCTION = "transparent_background_ultra" + CATEGORY = '😺dzNodes/LayerMask' + + def transparent_background_ultra(self, image, model, detail_method, detail_erode, detail_dilate, + black_point, white_point, process_detail, device, max_megapixels): + ret_images = [] + ret_masks = [] + + if detail_method == 'VITMatte(local)': + local_files_only = True + else: + local_files_only = False + + remover = Remover(mode=mode_dict[model], jit=False, device=device, ckpt=model_dict[model]) + for i in image: + i = torch.unsqueeze(i, 0) + orig_image = tensor2pil(i).convert('RGB') + ret_image = remover.process(orig_image, type='rgba') + _mask = ret_image.split()[3] + _mask = adjust_levels(_mask, 64, 192) + + if process_detail: + detail_range = detail_erode + detail_dilate + _mask = pil2tensor(_mask) + if detail_method == 'GuidedFilter': + _mask = guided_filter_alpha(i, _mask, detail_range // 6 + 1) + _mask = tensor2pil(histogram_remap(_mask, black_point, white_point)) + elif detail_method == 'PyMatting': + _mask = tensor2pil(mask_edge_detail(i, _mask, detail_range // 8 + 1, black_point, white_point)) + else: + _trimap = generate_VITMatte_trimap(_mask, detail_erode, detail_dilate) + _mask = generate_VITMatte(orig_image, _trimap, local_files_only=local_files_only, device=device, max_megapixels=max_megapixels) + _mask = tensor2pil(histogram_remap(pil2tensor(_mask), black_point, white_point)) + ret_image = RGB2RGBA(orig_image, _mask.convert('L')) + + ret_images.append(pil2tensor(ret_image)) + ret_masks.append(image2mask(_mask)) + + log(f"{NODE_NAME} Processed {len(ret_images)} image(s).", message_type='finish') + + return (torch.cat(ret_images, dim=0), torch.cat(ret_masks, dim=0),) + +NODE_CLASS_MAPPINGS = { + "LayerMask: TransparentBackgroundUltra": TransparentBackgroundUltra, +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "LayerMask: TransparentBackgroundUltra": "LayerMask: Transparent Background Ultra", +} diff --git a/pyproject.toml b/pyproject.toml index cbfcbc6b..c1eed51e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,7 +1,7 @@ [project] name = "comfyui_layerstyle" description = "A set of nodes for ComfyUI it generate image like Adobe Photoshop's Layer Style. the Drop Shadow is first completed node, and follow-up work is in progress." -version = "1.0.16" +version = "1.0.17" license = "MIT" dependencies = ["numpy", "pillow", "torch", "matplotlib", "Scipy", "scikit_image", "opencv-contrib-python", "pymatting", "segment_anything", "timm", "addict", "yapf", "colour-science", "wget", "mediapipe", "loguru", "typer_config", "fastapi", "rich", "google-generativeai", "diffusers", "omegaconf", "tqdm", "transformers", "kornia", "image-reward", "ultralytics", "blend_modes", "blind-watermark", "qrcode", "pyzbar", "psd-tools"] diff --git a/repair_dependency_list.txt b/repair_dependency_list.txt index e6319089..560b2800 100644 --- a/repair_dependency_list.txt +++ b/repair_dependency_list.txt @@ -1,3 +1,4 @@ -opencv-contrib-python>=4.9.0.80 +huggingface_hub==0.23.3 transformers>=4.38.1 -protobuf>=4.25.3 \ No newline at end of file +protobuf>=4.25.3 +opencv-contrib-python>=4.9.0.80 \ No newline at end of file diff --git a/requirements.txt b/requirements.txt index f7f0d68f..af0c3c27 100644 --- a/requirements.txt +++ b/requirements.txt @@ -29,4 +29,5 @@ blend_modes blind-watermark qrcode pyzbar +transparent-background psd-tools diff --git a/whl/docopt-0.6.2-py2.py3-none-any.whl b/whl/docopt-0.6.2-py2.py3-none-any.whl new file mode 100644 index 0000000000000000000000000000000000000000..1409c76f5584cfd8d3b840f3301afc4cfd5c62d1 GIT binary patch literal 13704 zcmaKz1CSvHw;@MnzSeeCk9+ zX4I*CD;1A4IWg7JIj3H>u?4+YI!AqbI11HRYq<$oy6Q$4gGF+< 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