├── LICENSE ├── README.md ├── __init__.py ├── __version__.py ├── assets ├── editor_example.jpg ├── editor_example_1.png ├── editor_example_2.png └── editor_example_3.jpg ├── examples └── pose_reactive_video.json ├── js ├── editor_textDisplay.js ├── openpose_editor.js └── ui │ ├── OpenposeEditor.html │ └── assets │ ├── antd.dark-4fd6fdfe.css │ ├── index-22cc811d.css │ └── index-cd1939ba.js ├── openpose_editor_nodes.py ├── pyproject.toml ├── requirements.txt └── util.py /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 |
2 | 3 | # ComfyUI ultimate openpose editor 4 | 5 |
6 | 7 |

8 | 9 |

10 | 11 | This is an improved version of [ComfyUI-openpose-editor](https://github.com/huchenlei/ComfyUI-openpose-editor) 12 | in ComfyUI, enable input and output with flexible choices. Much more convenient and easier to use. It integrates the render function which you also can intall it separately from my [ultimate-openpose-render](https://github.com/westNeighbor/ComfyUI-ultimate-openpose-render) repo or search in the Custom Nodes Manager 13 | 14 | If you like the project, please give me a star! ⭐ 15 | 16 | ## Installation 17 | 18 | - Manually install (**Recommend**), go to ComfyUI `/custom_nodes` directory 19 | ```bash 20 | git clone https://github.com/westNeighbor/ComfyUI-ultimate-openpose-editor 21 | cd ./ComfyUI-ultimate-openpose-editor 22 | pip install -r requirements.txt # if you use portable version, see below 23 | ``` 24 | if you use portable version, install requirement accordingly, for example, I have portable in my E: disk 25 | ```bash 26 | E:/ComfyUI_windows_portable/python_embeded/python.exe -m pip install -r requirements.txt 27 | ``` 28 | - You can install through the `Manager -> Custom Nodes Manger` search method, but probably you will meet problem to open the editor cause the **Manager** change the folder name, check the folder name after installation and change the folder name in file **_./js/openpose_editor.js_** in line 110 to the actual folder name in your computer. 29 | 30 | For example, if you have folder name **_westNeighbor_ComfyUI-ultimate-openpose-editor_** after installed, you need to change 31 | ```bash 32 | src: "extensions/ComfyUI-ultimate-openpose-editor/ui/OpenposeEditor.html", 33 | ``` 34 | to 35 | ```bash 36 | src: "extensions/westNeighbor_ComfyUI-ultimate-openpose-editor/ui/OpenposeEditor.html", 37 | ``` 38 | 39 | - Restart ComfyUI 40 | 41 | ## Usage 42 | - Insert node by `Right Click -> ultimate-openpose -> Openpose Editor Node` 43 | - `Right Click` on the node and select the `Open in Openpose Editor` to do the editting 44 |

45 | 46 |

47 | - send back after editting 48 |

49 | 50 |

51 | 52 | ## Features 53 | The node is very functional and rich features to fit all your needs. 54 | - It is totally local running, no internet requiring like the [ComfyUI-openpose-editor](https://github.com/huchenlei/ComfyUI-openpose-editor) 55 | - It can handle all kinds of situations 56 | 57 | - It can go without any input, you can get an empty image or add poses of persons in the editor ui. 58 | 59 | - It can accept POSE\_KEYPOINTS or poses in json format as input. 60 | 61 | - To edit poses, right click the node, and open the editor through `Open in Openpose Editor` menu. The send back poses will be shown in the pose json input area. Be ware that the edit priority is **POSE\_KEYPOINT > POSE\_JSON** 62 | 63 | - It can output pose images, or POSE\_KEYPOINTS or the json poses. Be ware that the output priority is **POSE\_JSON > POSE\_KEYPOINT** 64 | 65 | - It integrates the render options too, so you can use it as an render node too, or check my [ultimate-openpose-render](https://github.com/westNeighbor/ComfyUI-ultimate-openpose-render) node. 66 | 67 |

68 | 69 |

70 | 71 | 72 | ## Credits 73 | - https://github.com/huchenlei/ComfyUI-openpose-editor 74 | -------------------------------------------------------------------------------- /__init__.py: -------------------------------------------------------------------------------- 1 | from .openpose_editor_nodes import OpenposeEditorNode 2 | 3 | 4 | WEB_DIRECTORY = "js" 5 | 6 | NODE_CLASS_MAPPINGS = { 7 | "OpenposeEditorNode": OpenposeEditorNode, 8 | } 9 | 10 | NODE_DISPLAY_NAME_MAPPINGS = { 11 | "OpenposeEditorNode": "Openpose Editor Node", 12 | } 13 | 14 | __all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS", "WEB_DIRECTORY"] 15 | -------------------------------------------------------------------------------- /__version__.py: -------------------------------------------------------------------------------- 1 | VERSION = '1.0.0' 2 | -------------------------------------------------------------------------------- /assets/editor_example.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/badjano/ComfyUI-ultimate-openpose-editor/7de577b04df4ff8a1c942f85d120cf509f7783c4/assets/editor_example.jpg -------------------------------------------------------------------------------- /assets/editor_example_1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/badjano/ComfyUI-ultimate-openpose-editor/7de577b04df4ff8a1c942f85d120cf509f7783c4/assets/editor_example_1.png -------------------------------------------------------------------------------- /assets/editor_example_2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/badjano/ComfyUI-ultimate-openpose-editor/7de577b04df4ff8a1c942f85d120cf509f7783c4/assets/editor_example_2.png -------------------------------------------------------------------------------- /assets/editor_example_3.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/badjano/ComfyUI-ultimate-openpose-editor/7de577b04df4ff8a1c942f85d120cf509f7783c4/assets/editor_example_3.jpg -------------------------------------------------------------------------------- /js/editor_textDisplay.js: -------------------------------------------------------------------------------- 1 | import { app } from "../../../scripts/app.js"; 2 | import { ComfyWidgets } from "../../../scripts/widgets.js"; 3 | 4 | // Displays input text on a node 5 | app.registerExtension({ 6 | name: "EditOpenposeText", 7 | async beforeRegisterNodeDef(nodeType, nodeData, app) { 8 | if (nodeData.name === "OpenposeEditorNode") { 9 | function populate(text) { 10 | let removed = 0; 11 | if (this.widgets) { 12 | for (let i = 8; i < this.widgets.length; i++) { 13 | if (this.widgets[i].name === "display_only") { 14 | this.widgets[i].onRemove?.(); 15 | removed++; 16 | } 17 | } 18 | this.widgets.length = this.widgets.length - removed; 19 | } 20 | 21 | if (this.inputs?.[0].link || this.inputs?.[this.inputs.length-1].widget) { 22 | const v = [...text]; 23 | if (!v[0]) { 24 | v.shift(); 25 | } 26 | for (const list of v) { 27 | // const w = this.widgets[0]; 28 | // w.value = list; 29 | // if (this.inputs?.[this.inputs.length-1].widget) { 30 | 31 | const w = ComfyWidgets["STRING"](this, "display_only", ["STRING", { multiline: true }], app).widget; 32 | w.inputEl.readOnly = true; 33 | w.inputEl.style.opacity = 0.6; 34 | w.value = list; 35 | 36 | //} 37 | } 38 | } 39 | 40 | requestAnimationFrame(() => { 41 | const sz = this.computeSize(); 42 | if (sz[0] < this.size[0]) { 43 | sz[0] = this.size[0]; 44 | } 45 | if (sz[1] < this.size[1]) { 46 | sz[1] = this.size[1]; 47 | } 48 | this.onResize?.(sz); 49 | app.graph.setDirtyCanvas(true, false); 50 | }); 51 | } 52 | 53 | // When the node is executed we will be sent the input text, display this in the widget 54 | const onExecuted = nodeType.prototype.onExecuted; 55 | nodeType.prototype.onExecuted = function (message) { 56 | onExecuted?.apply(this, arguments); 57 | populate.call(this, message.POSE_JSON); 58 | }; 59 | 60 | const onConfigure = nodeType.prototype.onConfigure; 61 | nodeType.prototype.onConfigure = function () { 62 | onConfigure?.apply(this, arguments); 63 | if (this.widgets_values?.length) { 64 | // populate.call(this, this.widgets_values.slice(+this.widgets_values.length > 1)); 65 | } 66 | }; 67 | } 68 | }, 69 | }); 70 | -------------------------------------------------------------------------------- /js/openpose_editor.js: -------------------------------------------------------------------------------- 1 | import { app } from "../../scripts/app.js"; 2 | import { ComfyDialog, $el } from "../../scripts/ui.js"; 3 | import { ComfyApp } from "../../scripts/app.js"; 4 | 5 | 6 | function addMenuHandler(nodeType, cb) { 7 | const getOpts = nodeType.prototype.getExtraMenuOptions; 8 | nodeType.prototype.getExtraMenuOptions = function () { 9 | const r = getOpts.apply(this, arguments); 10 | cb.apply(this, arguments); 11 | return r; 12 | }; 13 | } 14 | 15 | class OpenposeEditorDialog extends ComfyDialog { 16 | static timeout = 5000; 17 | static instance = null; 18 | 19 | static getInstance() { 20 | if (!OpenposeEditorDialog.instance) { 21 | OpenposeEditorDialog.instance = new OpenposeEditorDialog(); 22 | } 23 | 24 | return OpenposeEditorDialog.instance; 25 | } 26 | 27 | constructor() { 28 | super(); 29 | this.element = $el("div.comfy-modal", { 30 | parent: document.body, 31 | style: { 32 | width: "80vw", 33 | height: "80vh", 34 | }, 35 | }, [ 36 | $el("div.comfy-modal-content", { 37 | style: { 38 | width: "100%", 39 | height: "100%", 40 | }, 41 | }, this.createButtons()), 42 | ]); 43 | this.is_layout_created = false; 44 | 45 | window.addEventListener("message", (event) => { 46 | if (event.source !== this.iframeElement.contentWindow) { 47 | return; 48 | } 49 | 50 | const message = event.data; 51 | if (message.modalId === 0) { 52 | const targetNode = ComfyApp.clipspace_return_node; 53 | const textAreaElement = targetNode.widgets[12].element; 54 | textAreaElement.value = JSON.stringify(event.data.poses); 55 | ComfyApp.onClipspaceEditorClosed(); 56 | this.close(); 57 | } 58 | }); 59 | } 60 | 61 | createButtons() { 62 | const closeBtn = $el("button", { 63 | type: "button", 64 | textContent: "Close", 65 | onclick: () => this.close(), 66 | }); 67 | return [ 68 | closeBtn, 69 | ]; 70 | } 71 | 72 | close() { 73 | super.close(); 74 | } 75 | 76 | async show() { 77 | if (!this.is_layout_created) { 78 | this.createLayout(); 79 | this.is_layout_created = true; 80 | await this.waitIframeReady(); 81 | } 82 | 83 | const targetNode = ComfyApp.clipspace_return_node; 84 | if (targetNode.inputs?.[0].link || targetNode.inputs?.[targetNode.inputs.length-1].widget){ 85 | const textAreaElement = targetNode.widgets[13].element; 86 | this.element.style.display = "flex"; 87 | this.setCanvasJSONString(textAreaElement.value.replace(/'/g, '"')); 88 | } else { 89 | const textAreaElement = targetNode.widgets[12].element; 90 | this.element.style.display = "flex"; 91 | if (textAreaElement.value === "") { 92 | let resolution_x = targetNode.widgets[3].value; 93 | let resolution_y = Math.floor(768*(resolution_x*1.0/512)); 94 | if (resolution_x < 64){ 95 | resolution_x = 512; 96 | resolution_y = 768; 97 | } 98 | 99 | let pose = `[{"people": [{"pose_keypoints_2d": [], "face_keypoints_2d": [], "hand_left_keypoints_2d": [], "hand_right_keypoints_2d": []}], "canvas_height": ${resolution_y}, "canvas_width": ${resolution_x}}]`; 100 | this.setCanvasJSONString(pose); 101 | } else { 102 | this.setCanvasJSONString(textAreaElement.value.replace(/'/g, '"')); 103 | } 104 | } 105 | } 106 | 107 | createLayout() { 108 | this.iframeElement = $el("iframe", { 109 | // Change to for local dev 110 | src: "extensions/ComfyUI-ultimate-openpose-editor/ui/OpenposeEditor.html", 111 | style: { 112 | width: "100%", 113 | height: "100%", 114 | border: "none", 115 | }, 116 | }); 117 | const modalContent = this.element.querySelector(".comfy-modal-content"); 118 | while (modalContent.firstChild) { 119 | modalContent.removeChild(modalContent.firstChild); 120 | } 121 | modalContent.appendChild(this.iframeElement); 122 | } 123 | 124 | waitIframeReady() { 125 | return new Promise((resolve, reject) => { 126 | const receiveMessage = (event) => { 127 | if (event.source !== this.iframeElement.contentWindow) { 128 | return; 129 | } 130 | if (event.data.ready) { 131 | window.removeEventListener("message", receiveMessage); 132 | clearTimeout(timeoutHandle); 133 | resolve(); 134 | } 135 | }; 136 | const timeoutHandle = setTimeout(() => { 137 | reject(new Error("Timeout")); 138 | }, OpenposeEditorDialog.timeout); 139 | 140 | window.addEventListener("message", receiveMessage); 141 | }); 142 | } 143 | 144 | setCanvasJSONString(jsonString) { 145 | this.iframeElement.contentWindow.postMessage({ 146 | modalId: 0, 147 | poses: JSON.parse(jsonString) 148 | }, "*"); 149 | } 150 | } 151 | 152 | app.registerExtension({ 153 | name: "OpenposeEditor", 154 | 155 | async beforeRegisterNodeDef(nodeType, nodeData) { 156 | if (nodeData.name === "OpenposeEditorNode") { 157 | addMenuHandler(nodeType, function (_, options) { 158 | options.unshift({ 159 | content: "Open in Openpose Editor", 160 | callback: () => { 161 | // `this` is the node instance 162 | ComfyApp.copyToClipspace(this); 163 | ComfyApp.clipspace_return_node = this; 164 | 165 | const dlg = OpenposeEditorDialog.getInstance(); 166 | dlg.show(); 167 | }, 168 | }); 169 | }); 170 | } 171 | } 172 | }); 173 | -------------------------------------------------------------------------------- /js/ui/OpenposeEditor.html: -------------------------------------------------------------------------------- 1 | 2 | 57 | 58 | 59 | Openpose Editor 60 | 61 | 62 | 63 | 64 |
ComfyUI-ULTIMATE-OPENPOSE-EDITOR
(SPACE / F) + Drag MouseHold key to pan the canvas
Mouse wheelZoom in/out
Right clickHide keypoint
Width
px
Height
px
88 | 89 | 93 | 94 | 95 | 96 | -------------------------------------------------------------------------------- /js/ui/assets/index-22cc811d.css: -------------------------------------------------------------------------------- 1 | .icon-switch[data-v-67f5f644]{cursor:pointer}.custom-svg[data-v-3df26ed3]{width:1rem;height:1rem;margin:3px}.custom-svg path[data-v-3df26ed3]{fill:var(--color-text);transition:fill .3s ease}.flipDisabled[data-v-1d917c1f]{opacity:50%}.hidden{opacity:50%;text-decoration:line-through}:root{--vt-c-white: #ffffff;--vt-c-white-soft: #f8f8f8;--vt-c-white-mute: #f2f2f2;--vt-c-black: #181818;--vt-c-black-soft: #222222;--vt-c-black-mute: #282828;--vt-c-indigo: #2c3e50;--vt-c-divider-light-1: rgba(60, 60, 60, .29);--vt-c-divider-light-2: rgba(60, 60, 60, .12);--vt-c-divider-dark-1: rgba(84, 84, 84, .65);--vt-c-divider-dark-2: rgba(84, 84, 84, .48);--vt-c-text-light-1: var(--vt-c-indigo);--vt-c-text-light-2: rgba(60, 60, 60, .66);--vt-c-text-dark-1: var(--vt-c-white);--vt-c-text-dark-2: rgba(235, 235, 235, .64)}:root{--color-background: var(--vt-c-white);--color-background-soft: var(--vt-c-white-soft);--color-background-mute: var(--vt-c-white-mute);--color-border: var(--vt-c-divider-light-2);--color-border-hover: var(--vt-c-divider-light-1);--color-heading: var(--vt-c-text-light-1);--color-text: var(--vt-c-text-light-1);--section-gap: 160px}body.dark-theme{--color-background: var(--vt-c-black);--color-background-soft: var(--vt-c-black-soft);--color-background-mute: var(--vt-c-black-mute);--color-border: var(--vt-c-divider-dark-2);--color-border-hover: var(--vt-c-divider-dark-1);--color-heading: var(--vt-c-text-dark-1);--color-text: var(--vt-c-text-dark-1)}@media (prefers-color-scheme: dark){:root{--color-background: var(--vt-c-black);--color-background-soft: var(--vt-c-black-soft);--color-background-mute: var(--vt-c-black-mute);--color-border: var(--vt-c-divider-dark-2);--color-border-hover: var(--vt-c-divider-dark-1);--color-heading: var(--vt-c-text-dark-1);--color-text: var(--vt-c-text-dark-2)}}*,*:before,*:after{box-sizing:border-box;margin:0;position:relative;font-weight:400}body{min-height:100vh;color:var(--color-text);background:var(--color-background);transition:color .5s,background-color .5s;line-height:1.6;font-family:Inter,-apple-system,BlinkMacSystemFont,Segoe UI,Roboto,Oxygen,Ubuntu,Cantarell,Fira Sans,Droid Sans,Helvetica Neue,sans-serif;font-size:15px;text-rendering:optimizeLegibility;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}.visible-switch,.group-switch,.unjam-button,.lock-switch{padding:3px}.ant-collapse-header{align-items:center!important;justify-content:flex-start}.ant-list-item{justify-content:flex-start}.close-icon,.coords-group,.scale-ratio-input{margin-left:auto}.ant-col{padding:10px}.image-thumbnail{width:50px;height:50px;object-fit:cover;margin-right:8px}.uploaded-file-item>div{display:flex;justify-content:flex-start;align-items:center}.ant-space{margin-bottom:5px}li.keypoint-selected{background-color:#fdd;color:#b20000}.dark-theme li.keypoint-selected{color:#fdd;background-color:#5e0303}#control-panel{height:100vh;overflow-y:auto}#control-panel::-webkit-scrollbar{display:none}.ant-space{flex-wrap:wrap}.ant-input-number{max-width:100px} 2 | -------------------------------------------------------------------------------- /openpose_editor_nodes.py: -------------------------------------------------------------------------------- 1 | import json 2 | import torch 3 | import numpy as np 4 | from .util import draw_pose_json, draw_pose 5 | 6 | OpenposeJSON = dict 7 | 8 | class OpenposeEditorNode: 9 | @staticmethod 10 | def normalize_scale_parameter(scale_param, target_length, behavior): 11 | """ 12 | Normalize a scale parameter to a list of the target length. 13 | 14 | Args: 15 | scale_param: Either a single float or list of floats 16 | target_length: Desired length of output list 17 | behavior: "truncate", "loop", or "repeat" 18 | 19 | Returns: 20 | List of floats with length determined by behavior 21 | """ 22 | # Convert single value to list 23 | if not isinstance(scale_param, (list, tuple)): 24 | scale_list = [scale_param] 25 | else: 26 | scale_list = list(scale_param) 27 | 28 | if len(scale_list) == target_length: 29 | return scale_list 30 | 31 | if behavior == "truncate": 32 | return scale_list[:target_length] 33 | elif behavior == "loop": 34 | if len(scale_list) == 0: 35 | return [1.0] * target_length 36 | result = [] 37 | for i in range(target_length): 38 | result.append(scale_list[i % len(scale_list)]) 39 | return result 40 | elif behavior == "repeat": 41 | if len(scale_list) == 0: 42 | return [1.0] * target_length 43 | if len(scale_list) >= target_length: 44 | return scale_list[:target_length] 45 | else: 46 | result = scale_list[:] 47 | last_value = scale_list[-1] 48 | while len(result) < target_length: 49 | result.append(last_value) 50 | return result 51 | else: 52 | raise ValueError(f"Unknown behavior: {behavior}") 53 | 54 | @staticmethod 55 | def determine_output_length(scale_params, pose_count, behavior): 56 | """ 57 | Determine the output length based on scale parameters and behavior. 58 | """ 59 | # Get all list lengths 60 | lengths = [pose_count] 61 | for param in scale_params: 62 | if isinstance(param, (list, tuple)): 63 | lengths.append(len(param)) 64 | 65 | if behavior == "truncate": 66 | return min(lengths) 67 | else: # loop or repeat 68 | return max(lengths) 69 | 70 | @classmethod 71 | def INPUT_TYPES(s): 72 | return { 73 | "optional": { 74 | "show_body": ("BOOLEAN", {"default": True}), 75 | "show_face": ("BOOLEAN", {"default": True}), 76 | "show_hands": ("BOOLEAN", {"default": True}), 77 | "resolution_x": ("INT", { 78 | "default": -1, 79 | "min": -1, 80 | "max": 12800 81 | }), 82 | "pose_marker_size": ("INT", { 83 | "default": 4, 84 | "min": 0, 85 | "max": 100 86 | }), 87 | "face_marker_size": ("INT", { 88 | "default": 3, 89 | "min": 0, 90 | "max": 100 91 | }), 92 | "hand_marker_size": ("INT", { 93 | "default": 2, 94 | "min": 0, 95 | "max": 100 96 | }), 97 | "hands_scale": ("FLOAT", { 98 | "default": 1.0, 99 | "min": 0.0, 100 | "max": 10.0, 101 | "step": 0.05 102 | }), 103 | "body_scale": ("FLOAT", { 104 | "default": 1.0, 105 | "min": 0.0, 106 | "max": 10.0, 107 | "step": 0.05 108 | }), 109 | "head_scale": ("FLOAT", { 110 | "default": 1.0, 111 | "min": 0.0, 112 | "max": 10.0, 113 | "step": 0.05 114 | }), 115 | "overall_scale": ("FLOAT", { 116 | "default": 1.0, 117 | "min": 0.0, 118 | "max": 10.0, 119 | "step": 0.05 120 | }), 121 | "list_mismatch_behavior": (["truncate", "loop", "repeat"], {"default": "loop", "tooltip": "Truncate: Truncate the list to the shortest length. Loop: Loop the list to the longest length. Repeat: Repeat the list to the longest length."}), 122 | "POSE_JSON": ("STRING", {"multiline": True}), 123 | "POSE_KEYPOINT": ("POSE_KEYPOINT",{"default": None}), 124 | }, 125 | } 126 | 127 | RETURN_NAMES = ("POSE_IMAGE", "POSE_KEYPOINT", "POSE_JSON") 128 | RETURN_TYPES = ("IMAGE", "POSE_KEYPOINT", "STRING") 129 | OUTPUT_NODE = True 130 | FUNCTION = "load_pose" 131 | CATEGORY = "ultimate-openpose" 132 | 133 | def load_pose(self, show_body, show_face, show_hands, resolution_x, pose_marker_size, face_marker_size, hand_marker_size, hands_scale, body_scale, head_scale, overall_scale, list_mismatch_behavior, POSE_JSON: str, POSE_KEYPOINT=None) -> tuple[OpenposeJSON]: 134 | ''' 135 | priority output is: POSE_JSON > POSE_KEYPOINT 136 | priority edit is: POSE_KEYPOINT > POSE_JSON 137 | ''' 138 | 139 | # Determine the input data and count 140 | if POSE_JSON: 141 | POSE_JSON = POSE_JSON.replace("'",'"').replace('None','[]') 142 | POSE_PASS = POSE_JSON 143 | if POSE_KEYPOINT is not None: 144 | POSE_PASS = json.dumps(POSE_KEYPOINT,indent=4).replace("'",'"').replace('None','[]') 145 | 146 | # Parse to determine image count 147 | if POSE_JSON.startswith('{'): 148 | pose_data = [json.loads(POSE_JSON)] 149 | else: 150 | pose_data = json.loads(POSE_JSON) 151 | pose_count = len(pose_data) 152 | 153 | elif POSE_KEYPOINT is not None: 154 | if isinstance(POSE_KEYPOINT, list): 155 | pose_data = POSE_KEYPOINT 156 | pose_count = len(pose_data) 157 | else: 158 | pose_data = [POSE_KEYPOINT] 159 | pose_count = 1 160 | POSE_JSON = json.dumps(pose_data, indent=4).replace("'",'"').replace('None','[]') 161 | POSE_PASS = POSE_JSON 162 | else: 163 | # Default case - create blank image 164 | W=512 165 | H=768 166 | pose_draw = dict(bodies={'candidate':[], 'subset':[]}, faces=[], hands=[]) 167 | pose_out = dict(pose_keypoints_2d=[], face_keypoints_2d=[], hand_left_keypoints_2d=[], hand_right_keypoints_2d=[]) 168 | people=[dict(people=[pose_out], canvas_height=H, canvas_width=W)] 169 | 170 | W_scaled = resolution_x 171 | if resolution_x < 64: 172 | W_scaled = W 173 | H_scaled = int(H*(W_scaled*1.0/W)) 174 | pose_img = [draw_pose(pose_draw, H_scaled, W_scaled, pose_marker_size, face_marker_size, hand_marker_size)] 175 | pose_img_np = np.array(pose_img).astype(np.float32) / 255 176 | 177 | return { 178 | "ui": {"POSE_JSON": people}, 179 | "result": (torch.from_numpy(pose_img_np), people, json.dumps(people)) 180 | } 181 | 182 | # Normalize scale parameters 183 | scale_params = [hands_scale, body_scale, head_scale, overall_scale] 184 | output_length = self.determine_output_length(scale_params, pose_count, list_mismatch_behavior) 185 | 186 | hands_scale_list = self.normalize_scale_parameter(hands_scale, output_length, list_mismatch_behavior) 187 | body_scale_list = self.normalize_scale_parameter(body_scale, output_length, list_mismatch_behavior) 188 | head_scale_list = self.normalize_scale_parameter(head_scale, output_length, list_mismatch_behavior) 189 | overall_scale_list = self.normalize_scale_parameter(overall_scale, output_length, list_mismatch_behavior) 190 | 191 | # Process each image with its corresponding scale values 192 | all_pose_imgs = [] 193 | output_pose_data = [] 194 | 195 | for i in range(output_length): 196 | # Get the pose data for this index 197 | pose_idx = i if i < pose_count else pose_count - 1 198 | if list_mismatch_behavior == "loop" and pose_count > 0: 199 | pose_idx = i % pose_count 200 | 201 | current_pose_json = json.dumps([pose_data[pose_idx]]) 202 | 203 | # Get scale values for this index 204 | current_hands_scale = hands_scale_list[i] 205 | current_body_scale = body_scale_list[i] 206 | current_head_scale = head_scale_list[i] 207 | current_overall_scale = overall_scale_list[i] 208 | 209 | # Process this image 210 | pose_imgs = draw_pose_json( 211 | current_pose_json, 212 | resolution_x, 213 | show_body, 214 | show_face, 215 | show_hands, 216 | pose_marker_size, 217 | face_marker_size, 218 | hand_marker_size, 219 | current_hands_scale, 220 | current_body_scale, 221 | current_head_scale, 222 | current_overall_scale 223 | ) 224 | 225 | if pose_imgs: 226 | all_pose_imgs.extend(pose_imgs) 227 | # Store the processed pose data 228 | processed_pose = json.loads(current_pose_json)[0] 229 | output_pose_data.append(processed_pose) 230 | 231 | if all_pose_imgs: 232 | pose_imgs_np = np.array(all_pose_imgs).astype(np.float32) / 255 233 | return { 234 | "ui": {"POSE_JSON": [json.dumps(output_pose_data, indent=4)]}, 235 | "result": (torch.from_numpy(pose_imgs_np), output_pose_data, json.dumps(output_pose_data)) 236 | } 237 | 238 | # Fallback to original behavior if no images generated 239 | pose_imgs = draw_pose_json(POSE_JSON, resolution_x, show_body, show_face, show_hands, pose_marker_size, face_marker_size, hand_marker_size, hands_scale_list[0] if hands_scale_list else 1.0, body_scale_list[0] if body_scale_list else 1.0, head_scale_list[0] if head_scale_list else 1.0, overall_scale_list[0] if overall_scale_list else 1.0) 240 | if pose_imgs: 241 | pose_imgs_np = np.array(pose_imgs).astype(np.float32) / 255 242 | return { 243 | "ui": {"POSE_JSON": [POSE_PASS]}, 244 | "result": (torch.from_numpy(pose_imgs_np), json.loads(POSE_JSON), POSE_JSON) 245 | } 246 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [project] 2 | name = "ComfyUI-ultimate-openpose-editor" 3 | description = "Enhanced features with flexible choice of inputs and outputs, fine control for pose plotting, freedom to composite poses and fast local pose editing." 4 | version = "1.0.0" 5 | license = { file = "LICENSE"} 6 | dependencies = ["torch", "polygraphy", "numpy", "opencv-python", "matplotlib"] 7 | 8 | [project.urls] 9 | Repository = "https://github.com/westNeighbor/ComfyUI-ultimate-openpose-editor" 10 | # Used by Comfy Registry https://comfyregistry.org 11 | 12 | [tool.comfy] 13 | PublisherId = "west-neighbor" 14 | DisplayName = "ComfyUI-ultimate-openpose-editor" 15 | Icon = "" 16 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | polygraphy 2 | matplotlib 3 | numpy 4 | opencv-python 5 | torch 6 | -------------------------------------------------------------------------------- /util.py: -------------------------------------------------------------------------------- 1 | import math 2 | import json 3 | import numpy as np 4 | import matplotlib 5 | import cv2 6 | from comfy.utils import ProgressBar 7 | 8 | eps = 0.01 9 | 10 | def scale(point, scale_factor, pivot): 11 | return [(point[0] - pivot[0]) * scale_factor + pivot[0], (point[1] - pivot[1]) * scale_factor + pivot[1]] 12 | 13 | def draw_pose_json(pose_json, resolution_x, show_body, show_face, show_hands, pose_marker_size, face_marker_size, hand_marker_size, hands_scale, body_scale, head_scale, overall_scale): 14 | pose_imgs = [] 15 | 16 | if pose_json: 17 | if pose_json.startswith('{'): 18 | pose_json = '[{}]'.format(pose_json) 19 | images = json.loads(pose_json) 20 | pbar = ProgressBar(len(images)) 21 | for image in images: 22 | if 'people' not in image: 23 | pbar.update(len(images)) 24 | return pose_imgs 25 | figures = image['people'] 26 | H = image['canvas_height'] 27 | W = image['canvas_width'] 28 | 29 | bodies = [] 30 | candidate = [] 31 | subset = [[]] 32 | faces = [] 33 | hands = [] 34 | pivot = [W * 0.5, H * 0.5] 35 | 36 | for figure_idx, figure in enumerate(figures): 37 | body = [] 38 | face = [] 39 | lhand = [] 40 | rhand = [] 41 | if 'pose_keypoints_2d' in figure: 42 | body = figure['pose_keypoints_2d'] 43 | if 'face_keypoints_2d' in figure: 44 | face = figure['face_keypoints_2d'] 45 | if 'hand_left_keypoints_2d' in figure: 46 | lhand = figure['hand_left_keypoints_2d'] 47 | if 'hand_right_keypoints_2d' in figure: 48 | rhand = figure['hand_right_keypoints_2d'] 49 | 50 | face_offset = [0, 0] 51 | lhand_offset = [0, 0] 52 | rhand_offset = [0, 0] 53 | 54 | lhand_pivot = [W * 0.25, H * 0.5] 55 | rhand_pivot = [W * 0.75, H * 0.5] 56 | face_pivot = [W * 0.5, H * 0.5] 57 | 58 | if body: 59 | candidate_start_idx = len(candidate) 60 | 61 | index = 0 62 | for i in range(0,len(body),3): 63 | p = body[i:i+2] 64 | confidence = body[i+2] 65 | 66 | if body_scale != 1.0: 67 | point = scale(p, body_scale, pivot) 68 | else: 69 | point = p[:] 70 | 71 | candidate.append(point) 72 | index += 1 73 | 74 | figure_head_idx = candidate_start_idx 75 | if figure_head_idx < len(candidate): 76 | face_offset = [candidate[figure_head_idx][0] - body[0], candidate[figure_head_idx][1] - body[1]] 77 | face_offset = [a*0.8 for a in face_offset] 78 | else: 79 | face_offset = [0, 0] 80 | 81 | wrist_left_idx = candidate_start_idx + 7 82 | wrist_right_idx = candidate_start_idx + 4 83 | 84 | if wrist_left_idx < len(candidate) and len(body) > 22: 85 | lhand_offset = [candidate[wrist_left_idx][0] - body[21], candidate[wrist_left_idx][1] - body[22]] 86 | lhand_pivot = candidate[wrist_left_idx] 87 | else: 88 | lhand_offset = [0, 0] 89 | 90 | if wrist_right_idx < len(candidate) and len(body) > 13: 91 | rhand_offset = [candidate[wrist_right_idx][0] - body[12], candidate[wrist_right_idx][1] - body[13]] 92 | rhand_pivot = candidate[wrist_right_idx] 93 | else: 94 | rhand_offset = [0, 0] 95 | 96 | if figure_head_idx < len(candidate): 97 | face_pivot = candidate[figure_head_idx] 98 | 99 | if not subset[0]: 100 | subset[0].extend([candidate_start_idx+(i//3) if body[i+2]>0 else -1 for i in range(0,len(body),3)]) 101 | else: 102 | new_subset = [candidate_start_idx+(i//3) if body[i+2]>0 else -1 for i in range(0,len(body),3)] 103 | subset.append(new_subset) 104 | 105 | if face: 106 | f = [] 107 | for i in range(0,len(face),3): 108 | p = face[i:i+2] 109 | confidence = face[i+2] 110 | p_offset = [p[0] + face_offset[0], p[1] + face_offset[1]] 111 | p_scaled = scale(p_offset, head_scale, face_pivot) 112 | f.append(p_scaled) 113 | faces.append(f) 114 | 115 | if lhand: 116 | lh = [] 117 | for i in range(0, len(lhand), 3): 118 | p = lhand[i:i+2] 119 | p_offset = [p[0] + lhand_offset[0], p[1] + lhand_offset[1]] 120 | p_scaled = scale(p_offset, hands_scale, lhand_pivot) 121 | lh.append(p_scaled) 122 | hands.append(lh) 123 | 124 | if rhand: 125 | rh = [] 126 | for i in range(0, len(rhand), 3): 127 | p = rhand[i:i+2] 128 | p_offset = [p[0] + rhand_offset[0], p[1] + rhand_offset[1]] 129 | p_scaled = scale(p_offset, hands_scale, rhand_pivot) 130 | rh.append(p_scaled) 131 | hands.append(rh) 132 | 133 | 134 | if hands: 135 | hands = [[scale(lm, overall_scale, pivot) for lm in hand] for hand in hands] 136 | if faces: 137 | faces = [[scale(lm, overall_scale, pivot) for lm in face] for face in faces] 138 | if candidate: 139 | candidate = [scale(lm, overall_scale, pivot) for lm in candidate] 140 | 141 | if candidate: 142 | candidate = np.array(candidate).astype(float) 143 | subset = np.array(subset) 144 | max_x = np.max(candidate[...,0]) if len(candidate) > 0 else 0 145 | max_y = np.max(candidate[...,1]) if len(candidate) > 0 else 0 146 | normalized = max(max_x, max_y) 147 | if normalized > 2.0: 148 | candidate[...,0] = np.clip(candidate[...,0] / float(W), 0, 1) 149 | candidate[...,1] = np.clip(candidate[...,1] / float(H), 0, 1) 150 | 151 | if faces: 152 | faces = np.array(faces).astype(float) 153 | max_x = np.max(faces[...,0]) if len(faces) > 0 else 0 154 | max_y = np.max(faces[...,1]) if len(faces) > 0 else 0 155 | normalized = max(max_x, max_y) 156 | if normalized > 2.0: 157 | faces[...,0] = np.clip(faces[...,0] / float(W), 0, 1) 158 | faces[...,1] = np.clip(faces[...,1] / float(H), 0, 1) 159 | 160 | if hands: 161 | hands = np.array(hands).astype(float) 162 | max_x = np.max(hands[...,0]) if len(hands) > 0 else 0 163 | max_y = np.max(hands[...,1]) if len(hands) > 0 else 0 164 | normalized = max(max_x, max_y) 165 | if normalized > 2.0: 166 | hands[...,0] = np.clip(hands[...,0] / float(W), 0, 1) 167 | hands[...,1] = np.clip(hands[...,1] / float(H), 0, 1) 168 | 169 | bodies = dict(candidate=candidate, subset=subset) 170 | pose = dict(bodies=bodies, faces=faces, hands=hands) 171 | pose = dict(bodies=bodies if show_body else {'candidate':[], 'subset':[]}, faces=faces if show_face else [], hands=hands if show_hands else []) 172 | 173 | W_scaled = resolution_x 174 | if resolution_x < 64: 175 | W_scaled = W 176 | H_scaled = int(H*(W_scaled*1.0/W)) 177 | 178 | pose_img = draw_pose(pose, H_scaled, W_scaled, pose_marker_size, face_marker_size, hand_marker_size) 179 | pose_imgs.append(pose_img) 180 | pbar.update(1) 181 | 182 | return pose_imgs 183 | 184 | def draw_pose(pose, H, W, pose_marker_size, face_marker_size, hand_marker_size): 185 | bodies = pose['bodies'] 186 | faces = pose['faces'] 187 | hands = pose['hands'] 188 | candidate = bodies['candidate'] 189 | subset = bodies['subset'] 190 | canvas = np.zeros(shape=(H, W, 3), dtype=np.uint8) 191 | 192 | if len(candidate) > 0: 193 | canvas = draw_bodypose(canvas, candidate, subset, pose_marker_size) 194 | 195 | if len(hands) > 0: 196 | canvas = draw_handpose(canvas, hands, hand_marker_size) 197 | 198 | if len(faces) > 0: 199 | canvas = draw_facepose(canvas, faces, face_marker_size) 200 | 201 | return canvas 202 | 203 | def draw_bodypose(canvas, candidate, subset, pose_marker_size): 204 | H, W, C = canvas.shape 205 | candidate = np.array(candidate) 206 | subset = np.array(subset) 207 | 208 | # stickwidth = 4 209 | 210 | limbSeq = [[2, 3], [2, 6], [3, 4], [4, 5], [6, 7], [7, 8], [2, 9], [9, 10], \ 211 | [10, 11], [2, 12], [12, 13], [13, 14], [2, 1], [1, 15], [15, 17], \ 212 | [1, 16], [16, 18], [3, 17], [6, 18]] 213 | 214 | colors = [[255, 0, 0], [255, 85, 0], [255, 170, 0], [255, 255, 0], [170, 255, 0], [85, 255, 0], [0, 255, 0], \ 215 | [0, 255, 85], [0, 255, 170], [0, 255, 255], [0, 170, 255], [0, 85, 255], [0, 0, 255], [85, 0, 255], \ 216 | [170, 0, 255], [255, 0, 255], [255, 0, 170], [255, 0, 85]] 217 | 218 | for i in range(17): 219 | for n in range(len(subset)): 220 | index = subset[n][np.array(limbSeq[i]) - 1] 221 | if -1 in index: 222 | continue 223 | Y = candidate[index.astype(int), 0] * float(W) 224 | X = candidate[index.astype(int), 1] * float(H) 225 | mX = np.mean(X) 226 | mY = np.mean(Y) 227 | length = ((X[0] - X[1]) ** 2 + (Y[0] - Y[1]) ** 2) ** 0.5 228 | angle = math.degrees(math.atan2(X[0] - X[1], Y[0] - Y[1])) 229 | polygon = cv2.ellipse2Poly((int(mY), int(mX)), (int(length / 2), pose_marker_size), int(angle), 0, 360, 1) 230 | cv2.fillConvexPoly(canvas, polygon, colors[i]) 231 | 232 | canvas = (canvas * 0.6).astype(np.uint8) 233 | 234 | for i in range(18): 235 | for n in range(len(subset)): 236 | index = int(subset[n][i]) 237 | if index == -1: 238 | continue 239 | x, y = candidate[index][0:2] 240 | x = int(x * W) 241 | y = int(y * H) 242 | cv2.circle(canvas, (int(x), int(y)), pose_marker_size, colors[i], thickness=-1) 243 | 244 | return canvas 245 | 246 | 247 | def draw_handpose(canvas, all_hand_peaks, hand_marker_size): 248 | H, W, C = canvas.shape 249 | 250 | edges = [[0, 1], [1, 2], [2, 3], [3, 4], [0, 5], [5, 6], [6, 7], [7, 8], [0, 9], [9, 10], \ 251 | [10, 11], [11, 12], [0, 13], [13, 14], [14, 15], [15, 16], [0, 17], [17, 18], [18, 19], [19, 20]] 252 | 253 | for peaks in all_hand_peaks: 254 | peaks = np.array(peaks) 255 | 256 | for ie, e in enumerate(edges): 257 | x1, y1 = peaks[e[0]] 258 | x2, y2 = peaks[e[1]] 259 | x1 = int(x1 * W) 260 | y1 = int(y1 * H) 261 | x2 = int(x2 * W) 262 | y2 = int(y2 * H) 263 | if x1 > eps and y1 > eps and x2 > eps and y2 > eps: 264 | cv2.line(canvas, (x1, y1), (x2, y2), matplotlib.colors.hsv_to_rgb([ie / float(len(edges)), 1.0, 1.0]) * 255, thickness=1 if hand_marker_size == 0 else hand_marker_size) 265 | 266 | joint_size=0 267 | if hand_marker_size < 2: 268 | joint_size = hand_marker_size + 1 269 | else: 270 | joint_size = hand_marker_size + 2 271 | for i, keyponit in enumerate(peaks): 272 | x, y = keyponit 273 | x = int(x * W) 274 | y = int(y * H) 275 | if x > eps and y > eps: 276 | cv2.circle(canvas, (x, y), joint_size, (0, 0, 255), thickness=-1) 277 | return canvas 278 | 279 | 280 | def draw_facepose(canvas, all_lmks, face_marker_size): 281 | H, W, C = canvas.shape 282 | for lmks in all_lmks: 283 | lmks = np.array(lmks) 284 | for lmk in lmks: 285 | x, y = lmk 286 | x = int(x * W) 287 | y = int(y * H) 288 | if x > eps and y > eps: 289 | cv2.circle(canvas, (x, y), face_marker_size, (255, 255, 255), thickness=-1) 290 | return canvas 291 | --------------------------------------------------------------------------------