v0.34.0

Update PyProject Toml - License

README.md

@@ -53,6 +53,7 @@
 - web app 可以设置分类，在 comfyui 右键菜单可以编辑更新 web app
 - 支持动态提示
 - 支持把输出显示到comfyui背景（TouchDesigner 风格）
+- 如果转为web app打开是空白的，注意检查下插件目录的名字需要是：comfyui-mixlab-nodes(如果是zip包下载会多了个-main的后缀，需要去掉)
 
 ![](./assets/微信图片_20240421205440.png)
 

__init__.py

@@ -22,9 +22,8 @@ except:
     print('#fix sys.stdout.isatty')
     sys.stdout.isatty = lambda: False
 
-llama_port=None
-llama_model=""
-llama_chat_format=""
+_URL_=None
+
 
 # try:
 #     from .nodes.ChatGPT import get_llama_models,get_llama_model_path,llama_cpp_client
@@ -320,22 +319,22 @@ def get_my_workflow_for_app(filename="my_workflow_app.json",category="",is_all=F
         
         # 这个代码不需要
         # if len(apps)==1 and category!='' and category!=None:
-            data=read_workflow_json_files(category_path)
+        data=read_workflow_json_files(category_path)
             
-            for item in data:
-                x=item["data"]
-                # print(apps[0]['filename'] ,item["filename"])
-                if apps[0]['filename']!=item["filename"]:
-                    category=''
-                    input=None
-                    output=None
-                    if 'category' in x['app']:
-                        category=x['app']['category']
-                    if 'input' in x['app']:
-                        input=x['app']['input']
-                    if 'output' in x['app']:
-                        output=x['app']['output']
-                    apps.append({
+        for item in data:
+            x=item["data"]
+            # print(apps[0]['filename'] ,item["filename"])
+            if apps[0]['filename']!=item["filename"]:
+                category=''
+                input=None
+                output=None
+                if 'category' in x['app']:
+                    category=x['app']['category']
+                if 'input' in x['app']:
+                    input=x['app']['input']
+                if 'output' in x['app']:
+                    output=x['app']['output']
+                apps.append({
                         "filename":item["filename"],
                         # "category":category,
                         "data":{
@@ -455,6 +454,7 @@ async def check_port_available(address, port):
 
 # https
 async def new_start(self, address, port, verbose=True, call_on_start=None):
+    global _URL_
     try:
         runner = web.AppRunner(self.app, access_log=None)
         await runner.setup()
@@ -534,7 +534,8 @@ async def new_start(self, address, port, verbose=True, call_on_start=None):
             # print("\033[93mStarting server\n")
             logging.info("\033[93mTo see the GUI go to: http://{}:{} or http://{}:{}".format(ip_address, http_port,address,http_port))
             logging.info("\033[93mTo see the GUI go to: https://{}:{} or https://{}:{}\033[0m".format(ip_address, https_port,address,https_port))
- 
+
+            _URL_="http://{}:{}".format(address,http_port)
             # print("\033[93mTo see the GUI go to: http://{}:{}".format(address, http_port))
             # print("\033[93mTo see the GUI go to: https://{}:{}\033[0m".format(address, https_port))
 
@@ -754,15 +755,16 @@ def random_seed(seed, data):
 
     for id, value in data.items():
         # print(seed,id)
-        if 'seed' in value['inputs'] and not isinstance(value['inputs']['seed'], list) and seed[id] in ['increment', 'decrement', 'randomize']:
-            value['inputs']['seed'] = round(random.random() * max_seed)
-        
-        if 'noise_seed' in value['inputs'] and not isinstance(value['inputs']['noise_seed'], list) and seed[id] in ['increment', 'decrement', 'randomize']:
-            value['inputs']['noise_seed'] = round(random.random() * max_seed)
-        
-        if value.get('class_type') == "Seed_" and seed[id] in ['increment', 'decrement', 'randomize']:
-            value['inputs']['seed'] = round(random.random() * max_seed)
-        
+        if id in seed:
+            if 'seed' in value['inputs'] and not isinstance(value['inputs']['seed'], list) and seed[id] in ['increment', 'decrement', 'randomize']:
+                value['inputs']['seed'] = round(random.random() * max_seed)
+            
+            if 'noise_seed' in value['inputs'] and not isinstance(value['inputs']['noise_seed'], list) and seed[id] in ['increment', 'decrement', 'randomize']:
+                value['inputs']['noise_seed'] = round(random.random() * max_seed)
+            
+            if value.get('class_type') == "Seed_" and seed[id] in ['increment', 'decrement', 'randomize']:
+                value['inputs']['seed'] = round(random.random() * max_seed)
+            
         print('new Seed', value)
     
     return data
@@ -992,16 +994,19 @@ def re_start(request):
         pass
     return os.execv(sys.executable, [sys.executable] + sys.argv)
 
-
+# 状态
+@routes.get('/mixlab/status')
+def mix_status(request):
+    return web.Response(text="running#"+_URL_)
 
 # 导入节点
 from .nodes.PromptNode import GLIGENTextBoxApply_Advanced,EmbeddingPrompt,RandomPrompt,PromptSlide,PromptSimplification,PromptImage,JoinWithDelimiter
-from .nodes.ImageNode import ImageListToBatch_,ComparingTwoFrames,LoadImages_,CompositeImages,GridDisplayAndSave,GridInput,ImagesPrompt,SaveImageAndMetadata,SaveImageToLocal,SplitImage,GridOutput,GetImageSize_,MirroredImage,ImageColorTransfer,NoiseImage,TransparentImage,GradientImage,LoadImagesFromPath,LoadImagesFromURL,ResizeImage,TextImage,SvgImage,Image3D,ShowLayer,NewLayer,MergeLayers,CenterImage,AreaToMask,SmoothMask,SplitLongMask,ImageCropByAlpha,EnhanceImage,FaceToMask
+from .nodes.ImageNode import ImageBatchToList_,ImageListToBatch_,ComparingTwoFrames,LoadImages_,CompositeImages,GridDisplayAndSave,GridInput,ImagesPrompt,SaveImageAndMetadata,SaveImageToLocal,SplitImage,GridOutput,GetImageSize_,MirroredImage,ImageColorTransfer,NoiseImage,TransparentImage,GradientImage,LoadImagesFromPath,LoadImagesFromURL,ResizeImage,TextImage,SvgImage,Image3D,ShowLayer,NewLayer,MergeLayers,CenterImage,AreaToMask,SmoothMask,SplitLongMask,ImageCropByAlpha,EnhanceImage,FaceToMask
 # from .nodes.Vae import VAELoader,VAEDecode
 from .nodes.ScreenShareNode import ScreenShareNode,FloatingVideo
 
 from .nodes.Audio import AudioPlayNode,SpeechRecognition,SpeechSynthesis
-from .nodes.Utils import IncrementingListNode,ListSplit,CreateLoraNames,CreateSampler_names,CreateCkptNames,CreateSeedNode,TESTNODE_,TESTNODE_TOKEN,AppInfo,IntNumber,FloatSlider,TextInput,ColorInput,FontInput,TextToNumber,DynamicDelayProcessor,LimitNumber,SwitchByIndex,MultiplicationNode
+from .nodes.Utils import KeyInput,IncrementingListNode,ListSplit,CreateLoraNames,CreateSampler_names,CreateCkptNames,CreateSeedNode,TESTNODE_,TESTNODE_TOKEN,AppInfo,IntNumber,FloatSlider,TextInput,ColorInput,FontInput,TextToNumber,DynamicDelayProcessor,LimitNumber,SwitchByIndex,MultiplicationNode
 from .nodes.Mask import PreviewMask_,MaskListReplace,MaskListMerge,OutlineMask,FeatheredMask
 
 from .nodes.Style import ApplyVisualStylePrompting,StyleAlignedReferenceSampler,StyleAlignedBatchAlign,StyleAlignedSampleReferenceLatents
@@ -1037,6 +1042,7 @@ NODE_CLASS_MAPPINGS = {
     "ShowLayer":ShowLayer,
     "NewLayer":NewLayer,
     "ImageListToBatch_":ImageListToBatch_,
+    "ImageBatchToList_":ImageBatchToList_,
     "CompositeImages_":CompositeImages,
     "SplitImage":SplitImage,
     "CenterImage":CenterImage,
@@ -1061,6 +1067,7 @@ NODE_CLASS_MAPPINGS = {
    
     "SpeechRecognition":SpeechRecognition,
     "SpeechSynthesis":SpeechSynthesis,
+    "KeyInput":KeyInput,
     "Color":ColorInput,
     "FloatSlider":FloatSlider,
     "IntNumber":IntNumber,
@@ -1117,6 +1124,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "SpeechRecognition":"SpeechRecognition ♾️Mixlab",
     "3DImage":"3DImage ♾️Mixlab",
     "ImageListToBatch_":"Image List To Batch",
+    "ImageBatchToList_":"Image Batch To List",
     "CompositeImages_":"Composite Images ♾️Mixlab",
     "DynamicDelayProcessor":"DynamicDelayByText ♾️Mixlab",
     "LaMaInpainting":"LaMaInpainting ♾️Mixlab",
@@ -1153,7 +1161,6 @@ NODE_DISPLAY_NAME_MAPPINGS = {
 # web ui的节点功能
 WEB_DIRECTORY = "./web"
 
-
 logging.info('--------------')
 logging.info('\033[91m ### Mixlab Nodes: \033[93mLoaded')
 # print('\033[91m ### Mixlab Nodes: \033[93mLoaded')
@@ -1162,7 +1169,7 @@ try:
     from .nodes.ChatGPT import ChatGPTNode,ShowTextForGPT,CharacterInText,TextSplitByDelimiter,SiliconflowFreeNode
     logging.info('ChatGPT.available True')
 
-    NODE_CLASS_MAPPINGS_V = {
+    NODE_CLASS_MAPPINGS_V = { 
        "ChatGPTOpenAI":ChatGPTNode,
        "SiliconflowLLM":SiliconflowFreeNode,
         "ShowTextForGPT":ShowTextForGPT,
@@ -1171,7 +1178,7 @@ try:
     }
 
     # 一个包含节点友好/可读的标题的字典
-    NODE_DISPLAY_NAME_MAPPINGS_V = {
+    NODE_DISPLAY_NAME_MAPPINGS_V = { 
         "ChatGPTOpenAI":"ChatGPT & Local LLM ♾️Mixlab",
         "SiliconflowLLM":"LLM Siliconflow ♾️Mixlab",
         "ShowTextForGPT":"Show Text ♾️MixlabApp",
@@ -1268,7 +1275,7 @@ except:
 try:
     from .nodes.TripoSR import LoadTripoSRModel,TripoSRSampler,SaveTripoSRMesh
     logging.info('TripoSR.available')
-
+    # logging.info( folder_paths.get_temp_directory())
     NODE_CLASS_MAPPINGS['LoadTripoSRModel_']=LoadTripoSRModel
     NODE_DISPLAY_NAME_MAPPINGS["LoadTripoSRModel_"]= "Load TripoSR Model"
     
@@ -1283,8 +1290,4 @@ except Exception as e:
     logging.info('TripoSR.available False' )
 
 
-
-
-
-
 logging.info('\033[93m -------------- \033[0m')

nodes/ImageNode.py

@@ -1829,12 +1829,9 @@ class CompositeImages:
 
     def run(self, foreground,mask,background, is_multiply_blend, position, scale):
         results = []
-        
         f1=[]
         for fg, mask in zip(foreground, mask ):
             f1.append([fg,mask])
-
-        
         for f, bg in product(f1, background):
             [fg,mask]=f
             fg_pil = tensor2pil(fg)

nodes/Utils.py

@@ -181,6 +181,28 @@ class ColorInput:
         return (h,r,g,b,a,)
 
 
+class KeyInput:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { 
+                    "key":("KEY",), 
+                             },
+                }
+    
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("key",)
+
+    FUNCTION = "run"
+
+    CATEGORY = "♾️Mixlab/Input"
+
+    INPUT_IS_LIST = False
+    OUTPUT_IS_LIST = (False,)
+
+    def run(self,key):
+        return (key,)
+
+
 
 class FontInput:
     @classmethod

pyproject.toml

@@ -1,8 +1,8 @@
 [project]
 name = "comfyui-mixlab-nodes"
 description = "3D, ScreenShareNode & FloatingVideoNode, SpeechRecognition & SpeechSynthesis, GPT, LoadImagesFromLocal, Layers, Other Nodes, ..."
-version = "0.33.0"
-license = "MIT"
+version = "0.34.0"
+license = { text = "MIT License" }
 dependencies = ["numpy", "pyOpenSSL", "watchdog", "opencv-python-headless", "matplotlib", "openai", "simple-lama-inpainting", "clip-interrogator==0.6.0", "transformers>=4.36.0", "lark-parser", "imageio-ffmpeg", "rembg[gpu]", "omegaconf==2.3.0", "Pillow>=9.5.0", "einops==0.7.0", "trimesh>=4.0.5", "huggingface-hub", "scikit-image"]
 
 [project.urls]

web/index.html

@@ -1740,7 +1740,7 @@
                         if (data.class_type === 'CheckpointLoaderSimple') {
                             if (window._appData.data) window._appData.data[data.id].inputs.ckpt_name = selectDom.value;
                             //更新输入参数
-                            updateInputData(nodeId, (inputs) => {
+                            updateInputData(data.id, (inputs) => {
                                 inputs.ckpt_name = selectDom.value;
                                 return inputs
                             })
@@ -1748,7 +1748,7 @@
                         if (data.class_type === 'LoraLoader') {
                             if (window._appData.data) window._appData.data[data.id].inputs.lora_name = selectDom.value;
                             //更新输入参数
-                            updateInputData(nodeId, (inputs) => {
+                            updateInputData(data.id, (inputs) => {
                                 inputs.lora_name = selectDom.value;
                                 return inputs
                             })
@@ -2870,7 +2870,12 @@
                                     window._appData.category,
                                     window._appData.seed,
                                     inp,
-                                    api.clientId
+                                    api.clientId,
+                                    window._appData.data ? [{
+                                        data: {
+                                            output: window._appData.data
+                                        }
+                                    }] : null
                                 ).then(res => {
 
                                     if (!res) {
@@ -2900,7 +2905,12 @@
                         window._appData.category,
                         window._appData.seed,
                         window._appData.input.filter(inp => inp),
-                        api.clientId
+                        api.clientId,
+                        window._appData.data ? [{
+                            data: {
+                                output: window._appData.data
+                            }
+                        }] : null
                     ).then(res => {
 
                         if (!res) {

web/javascript/app_mixlab.js

@@ -3,7 +3,8 @@ import { $el } from '../../../scripts/ui.js'
 import { api } from '../../../scripts/api.js'
 
 import { td_bg } from './td_background.js'
-console.log('td_bg', td_bg)
+// console.log('td_bg', td_bg)
+
 //本机安装的插件节点全集
 window._nodesAll = null
 

web/javascript/checkVersion_mixlab.js

@@ -3,7 +3,7 @@ import { app } from '../../../scripts/app.js'
 const repoOwner = 'shadowcz007' // 替换为仓库的所有者
 const repoName = 'comfyui-mixlab-nodes' // 替换为仓库的名称
 
-const version = 'v0.33.0'
+const version = 'v0.34.0'
 
 fetch(`https://api.github.com/repos/${repoOwner}/${repoName}/releases/latest`)
   .then(response => response.json())

web/javascript/command.js

@@ -1,4 +1,9 @@
 function get_url () {
+  // 如果有缓存记录
+  let hostUrl = localStorage.getItem('_hostUrl') || ''
+  if (hostUrl) {
+    return hostUrl
+  }
   let api_host = `${window.location.hostname}:${window.location.port}`
   let api_base = ''
   let url = `${window.location.protocol}//${api_host}${api_base}`
@@ -137,14 +142,18 @@ async function getPromptResult (category) {
 }
 
 // 新的运行工作流的接口
-function queuePromptNew (filename, category, seed, input, client_id) {
+function queuePromptNew (filename, category, seed, input, client_id,apps=null) {
   let url = get_url()
   // var filename = "Text-to-Image_1.json", category = "";
 
   // 随机seed
   //  promptWorkflow = randomSeed(seed, promptWorkflow);
+  let d = { filename, category, seed, input, client_id }
+  if (apps) {
+    d.apps = apps
+  }
 
-  const data = JSON.stringify({ filename, category, seed, input, client_id })
+  const data = JSON.stringify(d)
   return new Promise((res, rej) => {
     fetch(`${url}/mixlab/prompt`, {
       method: 'POST',

web/javascript/image_mixlab.js

@@ -675,6 +675,17 @@ const createInputImageForBatch = (base64, widget) => {
   return im
 }
 
+// 添加新图片
+const addBase64ToWidgetForLoadImagesToBatch = (
+  base64,
+  imagesWidget,
+  imagesDiv
+) => {
+  imagesWidget.value.base64.push(base64)
+  let im = createInputImageForBatch(base64, imagesWidget)
+  imagesDiv.appendChild(im)
+}
+
 app.registerExtension({
   name: 'Mixlab.Comfy.LoadImagesToBatch',
   async getCustomWidgets (app) {
@@ -705,7 +716,6 @@ app.registerExtension({
 
   async beforeRegisterNodeDef (nodeType, nodeData, app) {
     if (nodeType.comfyClass == 'LoadImagesToBatch') {
-
       const orig_nodeCreated = nodeType.prototype.onNodeCreated
 
       nodeType.prototype.onNodeCreated = function () {
@@ -751,13 +761,18 @@ app.registerExtension({
             base64 = await loadImageToCanvas(base64)
             // console.log(base64)
             if (!imagesWidget.value) imagesWidget.value = { base64: [] }
-            imagesWidget.value.base64.push(base64)
-            let im = createInputImageForBatch(base64, imagesWidget)
-            imagesDiv.appendChild(im)
+            addBase64ToWidgetForLoadImagesToBatch(
+              base64,
+              imagesWidget,
+              imagesDiv
+            )
           }
           reader.readAsDataURL(file)
         })
 
+        // 如果是复制的，有数据 , 这个不生效，取不到数据， 需要在nodeCreated里获取
+        // console.log('#LoadImagesToBatch', imagesWidget.value?.base64)
+
         const btn = document.createElement('button')
         btn.innerText = 'Upload Image'
 
@@ -829,18 +844,36 @@ app.registerExtension({
       }
     }
   },
+
   async loadedGraphNode (node, app) {
     if (node.type === 'LoadImagesToBatch') {
-      // await sleep(0)
       let imagesWidget = node.widgets.filter(w => w.name === 'images')[0]
       let imagePreview = node.widgets.filter(w => w.name == 'image_base64')[0]
+      // console.log('#LoadImagesToBatch', imagesWidget.value?.base64)
+      let imagesDiv = imagePreview.div.querySelector('.images_preview')
 
-      let pre = imagePreview.div.querySelector('.images_preview')
       for (const d of imagesWidget.value?.base64 || []) {
         let im = createInputImageForBatch(d, imagesWidget)
-        pre.appendChild(im)
+        imagesDiv.appendChild(im)
       }
     }
+  },
+  nodeCreated (node, app) {
+    //数据延迟？？
+    setTimeout(() => {
+      console.log('#LoadImagesToBatch', node.type)
+      if (node.type === 'LoadImagesToBatch') {
+        let imagesWidget = node.widgets.filter(w => w.name === 'images')[0]
+        let imagePreview = node.widgets.filter(w => w.name == 'image_base64')[0]
+
+        let imagesDiv = imagePreview?.div?.querySelector('.images_preview')
+
+        for (const d of imagesWidget.value?.base64 || []) {
+          let im = createInputImageForBatch(d, imagesWidget)
+          imagesDiv.appendChild(im)
+        }
+      }
+    }, 1000)
   }
 })
 
@@ -868,8 +901,8 @@ app.registerExtension({
       const onNodeCreated = nodeType.prototype.onNodeCreated
       nodeType.prototype.onNodeCreated = function () {
         const r = onNodeCreated
-        ? onNodeCreated.apply(this, arguments)
-        : undefined
+          ? onNodeCreated.apply(this, arguments)
+          : undefined
 
         this.size = [400, this.size[1]]
         console.log('##onNodeCreated', this)
@@ -891,20 +924,15 @@ app.registerExtension({
         this.addCustomWidget(widget)
         this.serialize_widgets = true //需要保存参数
 
-
         const onRemoved = this.onRemoved
         this.onRemoved = () => {
           widget.div.remove()
           return onRemoved?.()
         }
 
-
-       return r
-
+        return r
       }
 
-     
-
       const onExecuted = nodeType.prototype.onExecuted
       nodeType.prototype.onExecuted = function (message) {
         onExecuted?.apply(this, arguments)
@@ -964,7 +992,7 @@ app.registerExtension({
             label: 'After'
           }
         ]
-        this.size=[this.size[0],300]
+        this.size = [this.size[0], 300]
       }
     }
   },
@@ -974,7 +1002,6 @@ app.registerExtension({
       // node.widgets[0].div.id = 'mix_comparingtowframes_' + node.id
       // if (node.widgets_values && node.widgets_values[0]) {
       //   node.widgets[0].div.innerHTML = ''
-
       //   let slider = new juxtapose.JXSlider(
       //     '#mix_comparingtowframes_' + node.id,
       //     node.widgets_values,

web/javascript/utils_mixlab.js

@@ -1,5 +1,5 @@
 import { app } from '../../../scripts/app.js'
-import { $el } from '../../../scripts/ui.js' 
+import { $el } from '../../../scripts/ui.js'
 
 const getLocalData = key => {
   let data = {}
@@ -122,7 +122,7 @@ app.registerExtension({
       nodeType.prototype.onNodeCreated = function () {
         orig_nodeCreated?.apply(this, arguments)
 
-        // console.log('Color nodeData', this.widgets)
+        console.log('Color nodeData', this.div)
 
         const widget = {
           type: 'div',
@@ -273,19 +273,19 @@ app.registerExtension({
 })
 
 const min_max = node => {
-  if(node.widgets){
+  if (node.widgets) {
     const min_value = node.widgets.filter(w => w.name === 'min_value')[0]
     const max_value = node.widgets.filter(w => w.name === 'max_value')[0]
-  
+
     const number = node.widgets.filter(w => w.name === 'number')[0]
     if (number) {
       number.options.min = min_value.value
       number.options.max = max_value.value
-  
+
       number.value = Math.min(number.options.max, number.value)
       number.value = Math.max(number.options.min, number.value)
     }
-  
+
     if (min_value)
       min_value.callback = e => {
         number.options.min = e
@@ -297,22 +297,18 @@ const min_max = node => {
         number.value = e
       }
   }
-  
 }
 
 app.registerExtension({
   name: 'Mixlab.utils.FloatSlider',
   async beforeRegisterNodeDef (nodeType, nodeData, app) {
-
     if (nodeType.comfyClass == 'FloatSlider') {
-      const orig_nodeCreated = nodeType.prototype.onNodeCreated;
+      const orig_nodeCreated = nodeType.prototype.onNodeCreated
       nodeType.prototype.onNodeCreated = function () {
         orig_nodeCreated?.apply(this, arguments)
         min_max(this)
       }
     }
-
-   
   },
   async loadedGraphNode (node, app) {
     if (node.type === 'FloatSlider') {
@@ -323,7 +319,6 @@ app.registerExtension({
 app.registerExtension({
   name: 'Mixlab.utils.IntNumber',
   async beforeRegisterNodeDef (nodeType, nodeData, app) {
-    
     if (nodeType.comfyClass == 'IntNumber') {
       const orig_nodeCreated = nodeType.prototype.onNodeCreated
       nodeType.prototype.onNodeCreated = function () {
@@ -331,7 +326,6 @@ app.registerExtension({
         min_max(this)
       }
     }
-   
   },
   async loadedGraphNode (node, app) {
     if (node.type === 'IntNumber') {
@@ -340,22 +334,128 @@ app.registerExtension({
   }
 })
 
-
 app.registerExtension({
   name: 'Mixlab.utils.TESTNODE_',
   async beforeRegisterNodeDef (nodeType, nodeData, app) {
-    
     if (nodeType.comfyClass == 'TESTNODE_') {
-    
-      const onExecuted = nodeType.prototype.onExecuted;
-			nodeType.prototype.onExecuted = function (message) {
-				onExecuted?.apply(this, arguments);
-        console.log('##',message)
-				 
-			};
-
-
+      const onExecuted = nodeType.prototype.onExecuted
+      nodeType.prototype.onExecuted = function (message) {
+        onExecuted?.apply(this, arguments)
+        console.log('##', message)
+      }
     }
-   
-  }, 
+  }
+})
+
+app.registerExtension({
+  name: 'Mixlab.utils.KeyInput',
+  init () {},
+  async getCustomWidgets (app) {
+    return {
+      KEY (node, inputName, inputData, app) {
+        // console.log('##node', node)
+        const widget = {
+          type: inputData[0], // the type, CHEESE
+          name: inputName, // the name, slice
+          size: [128, 32], // a default size
+          draw (ctx, node, width, y) {},
+          computeSize (...args) {
+            return [128, 32] // a method to compute the current size of the widget
+          },
+          async serializeValue (nodeId, widgetIndex) {
+            let data = getLocalData('_mixlab_api_key')
+            return data[node.id] || 'by Mixlab'
+          }
+        }
+        //  widget.something = something;          // maybe adds stuff to it
+        node.addCustomWidget(widget) // adds it to the node
+        return widget // and returns it.
+      }
+    }
+  },
+
+  async beforeRegisterNodeDef (nodeType, nodeData, app) {
+    if (nodeType.comfyClass == 'KeyInput') {
+      const orig_nodeCreated = nodeType.prototype.onNodeCreated
+      nodeType.prototype.onNodeCreated = function () {
+        orig_nodeCreated?.apply(this, arguments)
+
+        const widget = {
+          type: 'div',
+          name: 'key_inp',
+          draw (ctx, node, widget_width, y, widget_height) {
+            Object.assign(
+              this.div.style,
+              get_position_style(ctx, widget_width, 44, node.size[1])
+            ) 
+          }
+        }
+
+        widget.div = $el('div', {})
+
+        const inputDiv = (key, placeholder) => {
+          let div = document.createElement('div')
+          const ip = document.createElement('input')
+          ip.type = placeholder === 'Key' ? 'password' : 'text'
+          ip.className = `${'comfy-multiline-input'} ${placeholder}`
+          div.style = `display: flex;
+          align-items: center; 
+          margin: 6px 8px;
+          margin-top: 0;`
+          ip.placeholder = placeholder
+          ip.value = placeholder
+
+          ip.style = `margin-left: 24px;
+          outline: none;
+          border: none;
+          padding: 4px;width: 100%;`
+          const label = document.createElement('label')
+          label.style = 'font-size: 10px;min-width:32px'
+          label.innerText = placeholder
+          div.appendChild(label)
+          div.appendChild(ip)
+
+          ip.addEventListener('change', () => {
+            let data = getLocalData(key)
+            data[this.id] = ip.value.trim()
+            localStorage.setItem(key, JSON.stringify(data))
+            console.log(this.id, key)
+          })
+          return div
+        }
+
+        let inputKey = inputDiv('_mixlab_api_key', 'Key') 
+
+        widget.div.appendChild(inputKey) 
+
+        this.addCustomWidget(widget)
+ 
+        console.log('KeyInput nodeData',widget.div)
+
+      
+        const onRemoved = this.onRemoved
+        this.onRemoved = () => {
+          inputKey.remove()
+          widget.div.remove()
+          return onRemoved?.()
+        }
+
+        this.serialize_widgets = true //需要保存参数
+      }
+    }
+  },
+  async loadedGraphNode (node, app) {
+    // Fires every time a node is constructed
+    // You can modify widgets/add handlers/etc here
+
+    if (node.type === 'KeyInput') {
+      let widget = node.widgets.filter(w => w.div)[0]
+
+      let apiKey = getLocalData('_mixlab_api_key');
+
+      let id = node.id
+ 
+      widget.div.querySelector('.Key').value = apiKey[id] || 'by Mixlab' 
+    }
+  }
 })