diff --git a/.DS_Store b/.DS_Store index abb38bb..1a38b14 100644 Binary files a/.DS_Store and b/.DS_Store differ diff --git a/.gitignore b/.gitignore index 083d732..16058d2 100644 --- a/.gitignore +++ b/.gitignore @@ -1,2 +1,3 @@ __pycache__ .idea +.DS_Store \ No newline at end of file diff --git a/README.md b/README.md index 85ed69c..9d72ee4 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,122 @@ -# ComfyUI-FaceChain -continue coding.... -Expected to be released on January 20 -预计1月20日左右发布，不会鸽 +# [ComfyUI-FaceChain](https://github.com/THtianhao/ComfyUI-FaceChain) + +This project is adapted from [facechain](https://github.com/modelscope/facechain) and involves the breakdown and improvement of the processes of [facechain](https://github.com/modelscope/facechain). + +![workflow_inpaiting_inference.png](workflows%2Fworkflow_inpaiting_inference.png) + +English | [简体中文](./README_zh-CN.md) + +## Contact + +If you have any questions or suggestions, you can reach us through the following channels: + +- Email: tototianhao@gmail.com +- Telegram: https://t.me/+JoFE2vqHU4phZjg1 +- WeChat Group: + +### Steps +1. Install ComfyUI first. + +2. After a successful installation of ComfyUI, navigate to the `custom_nodes` directory at `ComfyUI/custom_nodes/`. + +``` +cd custom_nodes +``` + +3. Clone this project into the `custom_nodes` directory. + +``` +git clone https://github.com/THtianhao/ComfyUI-Portrait-Maker.git +``` + +4. Restart ComfyUI. + +## ComfyUI Workflow + +Facechain Workflow Location: [workflow_inpaiting_inference.png](workflows%2Fworkflow_inpaiting_inference.png) +Drag the workflow directly into ComfyUI. + +## Node Introduction +### FC StyleLoraLoad + > The workflow can load the checkpoints and style Lora used by facechain, download them first, and then merge them, providing relevant prompts. + > Workflow: [./workflow/workflow_inference.json](./workflows/workflow_inference.json) +### FC FaceDetectCrop + > Detects faces and crops them. + + ![workflow_face_detect_crop.png](workflows%2Fworkflow_face_detect_crop.png) + Parameter Description: + + 1. mode: Cropping mode, normal mode crops according to the face, square 512 width height will scale the face to 512. + 2. face_index: Index of the face, if there are multiple faces, retrieve them based on the index. + 3. crop_ratio: Only effective in normal mode, crops the face proportionally, 1.0 is 1x the face. + +### FC FaceFusion + > Fusion using model scope model. + + ![workflow_face_fusion.png](workflows%2Fworkflow_face_fusion.png) + + +### FC FaceSegment + > Segmentation using model scope model to obtain masks for the face and body. + +![workflow_face_segment.png](workflows%2Fworkflow_face_segment.png) + +Parameter Description: +1. ksize: Expansion parameter for segmenting the edges of the face. +2. ksize1: Expansion parameter for segmenting the edges of the face. +3. include_neck: Whether the segmented image includes the neck. + +### FC FaceSegAndReplace + > Performs face fusion and replaces the original image, similar to facefusion but mainly used for multiple people. + +![workflow_face_seg_and_replace.png](workflows%2Fworkflow_face_seg_and_replace.png) + + +### FC RemoveCannyFace + > Removes the Canny-detected parts of the face. + +![workflow_remove_canny_face.png](workflows%2Fworkflow_remove_canny_face.png) +### FC ReplaceByMask + > Replaces the image based on the mask. + +![workflow_replace_by_mask.png](workflows%2Fworkflow_replace_by_mask.png) + +* FC MaskOP + > Operations on the mask. + +Parameter Description: +1. mode: Provides three operations, blur, erosion, dilation. +2. kernel: The kernel used for the operation, the larger the kernel, the stronger the operation. + +![workflow_mask_op.png](workflows%2Fworkflow_mask_op.png) + +* FC FCCropToOrigin + > Currently, it can only be used in conjunction with `FC FaceDetectCrop` in `square 512 width height` mode. Pastes the cropped image onto the target image based on the mask. + +![workflow_face_detect_crop.png](workflows%2Fworkflow_face_detect_crop.png) + +Parameter Description: +1. origin_image: Original image. +2. origin_box: Bounding box of the original image. +3. origin_mask: Mask cropped from the original image. +4. paste_image: Pasting image, must be consistent with the origin_mask, hence the need for `FC FaceDetectCrop` in `square 512 width height` mode. + + + + +## Contribution + +If you find any issues or have suggestions for improvement, feel free to contribute. Follow these steps: + +1. Branch out a new feature branch: `git checkout -b feature/your-feature-name` +2. Make your changes and commit: `git commit -m "Add new feature"` +3. Push to your remote branch: `git push origin feature/your-feature-name` +4. Create a Pull Request (PR). + +## License + +This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details. + + + +Join us and contribute to the development of EasyPhoto ComfyUI Plugin! \ No newline at end of file diff --git a/README_zh-CN.md b/README_zh-CN.md new file mode 100644 index 0000000..967526e --- /dev/null +++ b/README_zh-CN.md @@ -0,0 +1,122 @@ +# [ComfyUI-FaceChain](https://github.com/THtianhao/ComfyUI-FaceChain) + +项目改编于[facechain](https://github.com/modelscope/facechain)，对于[facechain](https://github.com/modelscope/facechain)进行了流程上的拆解和改进。 + +![workflow_inpaiting_inference.png](workflows%2Fworkflow_inpaiting_inference.png) + +English | [简体中文](./README_zh-CN.md) + +## 联系 + +如果你有任何疑问或建议，可以通过以下方式联系我们： + +- 电子邮件：tototianhao@gmail.com +- telegram: https://t.me/+JoFE2vqHU4phZjg1 +- 微信群： + +### 步骤 +1. 首先安装ComfyUI + +2. ComfyUI运行成功后进入`custom_nodes` 目录 `ComfyUI/custom_nodes/` + +``` +cd custom_nodes +``` + +3. 克隆此项目到custom_nodes目录中 + +``` +git clone https://github.com/THtianhao/ComfyUI-Portrait-Maker.git +``` + +4. 重新启动ComfyUI + +## ComfyUI 工作流 + +Facechain工作位置: [workflow_inpaiting_inference.png](workflows%2Fworkflow_inpaiting_inference.png) +将工作流直接拖进comfyui中 + +## 节点介绍 +### FC StyleLoraLoad + > workflow可以加载facechain 用到的checkpoint和风格lora，首先下载然后进行融合，并且给出相关的prompt + > workflow ： [./workflow/workflow_inference.json](./workflows/workflow_inference.json) +### FC FaceDetectCrop + > 识别人脸并且剪裁 + + ![workflow_face_detect_crop.png](workflows%2Fworkflow_face_detect_crop.png) + 参数介绍： + + 1. mode:剪裁模式，normal模式为按照人脸剪裁,square 512 width height会将人脸缩放到512 + 2. face_index:人脸的索引，如果有多个人脸的话按照多个人脸的话按照index进行获取 + 3. crop_ratio:只在normal模式下生效，将人脸按照比例剪裁1.0为1倍人脸 + +### FC FaceFusion + > 使用model scope模型进行融合 + + ![workflow_face_fusion.png](workflows%2Fworkflow_face_fusion.png) + + +### FC FaceSegment + > 使用model scope模型进行分割并且获取脸部和身体的mask + +![workflow_face_segment.png](workflows%2Fworkflow_face_segment.png) + +参数介绍: +1. ksize: 分割人脸边缘的扩展参数 +2. ksize1: 分割人脸边缘的扩展参数 +3. include_neck: 分割的图像是否包含脖子 + +### FC FaceSegAndReplace + > 进行人脸融合并且分割人脸替换原图,差异和facefusion不大,主要用在多人 + +![workflow_face_seg_and_replace.png](workflows%2Fworkflow_face_seg_and_replace.png) + + +### FC RemoveCannyFace + > 删除掉canny的人脸部分 + +![workflow_remove_canny_face.png](workflows%2Fworkflow_remove_canny_face.png) +### FC ReplaceByMask + > 根据mask替换图像 + +![workflow_replace_by_mask.png](workflows%2Fworkflow_replace_by_mask.png) + +* FC MaskOP + > 对mask的操作 + +参数介绍: +1. mode: 提供了三种操作，模糊处理，腐蚀，膨胀 +2. kernel: 用于操作的核，越大操作力度越强 + +![workflow_mask_op.png](workflows%2Fworkflow_mask_op.png) + +* FC FCCropToOrigin + > 目前只能配合 `FC FaceDetectCrop` 的`square 512 width height`模式一起使用,将截取的图像根据mask粘贴到目标图像上 + +![workflow_face_detect_crop.png](workflows%2Fworkflow_face_detect_crop.png) + +参数介绍: +1. origin_image: 原始图像 +2. origin_box:原始图像的bbox +3. origin_mask:原始图像截取的mask +4. paste_image:粘贴图像 必须和origin_mask保持一致,因此需要`FC FaceDetectCrop` 的`square 512 width height`模式 + + + + +## 贡献 + +如果你发现任何问题或有改进建议，欢迎贡献。请遵循以下步骤： + +1. 分支出一个新的特性分支：`git checkout -b feature/your-feature-name` +2. 进行修改并提交：`git commit -m "Add new feature"` +3. 推送到你的远程分支：`git push origin feature/your-feature-name` +4. 创建一个 Pull 请求（PR）。 + +## 许可证 + +该项目采用 MIT 许可证。查看 [LICENSE](LICENSE) 文件以获取详细信息。 + + + +欢迎加入我们，为 EasyPhoto ConfyUI Plugin 的发展做出贡献！ diff --git a/facechain/common/model_processor.py b/facechain/common/model_processor.py index 43e029b..9a69f6f 100644 --- a/facechain/common/model_processor.py +++ b/facechain/common/model_processor.py @@ -48,7 +48,7 @@ def facechain_detect_crop(source_image_pil, face_index=0, crop_ratio=1, mode='no debug('mask', mask.shape) corp_img_pil = source_image_pil.crop(bbox) return corp_img_pil, mask, bbox, points_array - elif mode == "square 512 width heigh": + elif mode == "square 512 width height": np_image = image_to_np(source_image_pil) face_ratio = 0.45 crop_l = int(max(face_h, face_w) / face_ratio / 2) @@ -69,6 +69,7 @@ def facechain_detect_crop(source_image_pil, face_index=0, crop_ratio=1, mode='no raise RuntimeError('模式错误') def segment(img, ksize=0, eyeh=0, ksize1=0, include_neck=False, warp_mask=None, return_human=True): + print('ksize', ksize, "ksize1", ksize1, 'warp_mask', warp_mask) seg_image = get_segmentation()(img) masks = seg_image['masks'] scores = seg_image['scores'] diff --git a/facechain/nodes.py b/facechain/nodes.py index 34ebe35..755f479 100644 --- a/facechain/nodes.py +++ b/facechain/nodes.py @@ -32,7 +32,7 @@ class FaceDetectCrop: "source_image": ("IMAGE",), "face_index": ("INT", {"default": 0, "min": 0, "max": 10, "step": 1}), "crop_ratio": ("FLOAT", {"default": 1.0, "min": 0, "max": 10, "step": 0.1}), - "mode": (["normal", "square 512 width heigh"],), + "mode": (["normal", "square 512 width height"],), } } @@ -54,8 +54,8 @@ class FCFaceSegment: }, "optional": { - "ksize": ("FLOAT", {"default": 0, "min": 0, "max": 10, "step": 0.1}), - "ksize1": ("FLOAT", {"default": 0, "min": 0, "max": 10, "step": 0.1}), + "ksize": ("FLOAT", {"default": 0, "min": 0, "max": 1, "step": 0.01}), + "ksize1": ("FLOAT", {"default": 0, "min": 0, "max": 1, "step": 0.01}), "include_neck": ("BOOLEAN", {"default": False, "label_on": "enabled", "label_off": "disabled"}), "warp_mask": ("MASK",), }, @@ -66,9 +66,9 @@ class FCFaceSegment: FUNCTION = "fc_segment" CATEGORY = "facechain/model" - def fc_segment(self, source_image, ksize=0, ksize1=0, include_neck=False, warp_mask=None, ): + def fc_segment(self, source_image, ksize, ksize1, include_neck=False, warp_mask=None, ): pil_source_image = tensor_to_img(source_image) - seg_image, mask, human_mask = segment(pil_source_image, ksize, ksize1, include_neck, warp_mask, True) + seg_image, mask, human_mask = segment(pil_source_image, ksize=ksize, ksize1=ksize1, include_neck=include_neck, warp_mask=warp_mask, return_human=True) return image_to_tensor(seg_image), mask_np2_to_mask_tensor(mask), mask_np2_to_mask_tensor(human_mask) class FCFaceFusionAndSegReplace: @@ -177,7 +177,7 @@ class FCReplaceByMask: np_source_image = tensor_to_np(source_image) np_replace_image = tensor_to_np(replace_image) np_mask = mask_tensor_to_mask_np3(mask) - result_np = np_source_image * np_mask + np_replace_image(1 - np_mask) + result_np = np_source_image * np_mask + np_replace_image * (1 - np_mask) return (image_np_to_image_tensor(result_np),) class FCCropAndPaste: @@ -213,8 +213,8 @@ class FCMaskOP: return { "required": { "mask": ("MASK",), - "ksize": ("INT", {"default": 8, "min": 0, "max": 100, "step": 1}), - "method": (["expand_dims", "concatenate", "burl", "erode"],), + "method": (["burl", "erode", "dilate"],), + "kernel": ("INT", {"default": 16, "min": 0, "max": 100, "step": 1}), } } @@ -222,19 +222,19 @@ class FCMaskOP: FUNCTION = "mask_op" CATEGORY = "facechain/mask" - def mask_op(self, mask, ksize, method): + def mask_op(self, mask, method, kernel): mask_np = mask_tensor_to_mask_np3(mask) result = None - if method == "concatenate": - result = np.concatenate([mask_np, mask_np, mask_np], axis=2) - elif method == "expand_dims": - result = np.expand_dims(mask_np, axis=2) - elif method == "burl": - result = cv2.GaussianBlur(mask_np, (int(ksize * 1.8) * 2 + 1, int(ksize * 1.8) * 2 + 1), 0) + kernel_real = np.ones((kernel, kernel), np.uint8) + if method == "burl": + result = cv2.GaussianBlur(mask_np, (int(kernel * 1.8) * 2 + 1, int(kernel * 1.8) * 2 + 1), 0) result = np.expand_dims(result, axis=2) elif method == 'erode': - kernel = np.ones((ksize * 2, ksize * 2)) - result = cv2.erode(mask_np, kernel, iterations=1) + result = cv2.erode(mask_np, kernel_real, iterations=1) + result = np.expand_dims(result, axis=2) + elif method == 'dilate': + result = cv2.dilate(mask_np, kernel_real, iterations=1) + result = np.expand_dims(result, axis=2) return (mask_np3_to_mask_tensor(result),) class FCCropToOrigin: diff --git a/facechain/style_loader_node.py b/facechain/style_loader_node.py index 5960bdf..2b8eb5c 100644 --- a/facechain/style_loader_node.py +++ b/facechain/style_loader_node.py @@ -54,7 +54,7 @@ class FCStyleLoraLoad: } } - RETURN_TYPES = ("MODEL", "CLIP", "VAE", "CONDITION",) + RETURN_TYPES = ("MODEL", "CLIP", "VAE", "STRING",) RETURN_NAMES = ("MODEL", "CLIP", "VAE", "style_prompt",) FUNCTION = "style_lora_load" CATEGORY = "facechain/lora" diff --git a/images/wechat.jpg b/images/wechat.jpg new file mode 100755 index 0000000..bbc1071 Binary files /dev/null and b/images/wechat.jpg differ diff --git a/workflow/dev_workflow.json b/workflow/dev_workflow.json deleted file mode 100644 index 016cc3f..0000000 --- a/workflow/dev_workflow.json +++ /dev/null @@ -1,3462 +0,0 @@ -{ - 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