0.35.1

v0.34.0
image batch to list
2024-08-04 18:02:13 +08:00 · 2024-08-04 15:28:47 +08:00 · 2024-08-04 13:35:22 +08:00 · 2024-08-04 12:12:41 +08:00 · 2024-08-04 09:40:43 +08:00 · 2024-08-04 09:40:40 +08:00
14 changed files with 773 additions and 450 deletions
@@ -1,6 +1,6 @@
 ![](https://img.shields.io/github/release/shadowcz007/comfyui-mixlab-nodes)

-> 适配了最新版 comfyui 的 py3.11 ，torch 2.1.2+cu121
+> 适配了最新版 comfyui 的 py3.11 ，torch 2.3.1+cu121
 > [Mixlab nodes discord](https://discord.gg/cXs9vZSqeK)


@@ -10,6 +10,8 @@

 ![alt text](./assets/1722517810720.png)

+- 增加 API Key Input 节点，用于管理LLM的Key,同时优化LLM相关节点，为后续agent模式做准备
+
 - 增加 SiliconflowLLM，可以使用由Siliconflow提供的免费LLM

 - 增加 Edit Mask，方便在生成的时候手动绘制 mask [workflow](./workflow/edit-mask-workflow.json)
@@ -53,6 +55,7 @@
 - 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)

@@ -115,9 +118,10 @@ https://github.com/shadowcz007/comfyui-mixlab-nodes/assets/12645064/e7e77f90-e43

 > Support for calling multiple GPTs.Local LLM（llama.cpp）、 ChatGPT、ChatGLM3 、ChatGLM4 , Some code provided by rui. If you are using OpenAI's service, fill in https://api.openai.com/v1 . If you are using a local LLM service, fill in http://127.0.0.1:xxxx/v1 . Azure OpenAI:https://xxxx.openai.azure.com

-![gpt-workflow.svg](./assets/gpt-workflow.svg)
+[LLM_base_workflow](./workflow/LLM_base_workflow.json)

-[workflow-5](./workflow/5-gpt-workflow.json)
+- SiliconflowLLM
+- ChatGPTOpenAI

 <!-- 最新：ChatGPT 节点支持 Local LLM（llama.cpp），Phi3、llama3 都可以直接一个节点运行了。

@@ -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,
@@ -1099,6 +1106,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
    
    "Color":"Color Input ♾️MixlabApp",
    "TextInput_":"Text Input ♾️MixlabApp",
+    "KeyInput":"API Key Input ♾️MixlabApp",
    "FloatSlider":"Float Slider Input ♾️MixlabApp",
    "IntNumber":"Int Input ♾️MixlabApp",
    "ImagesPrompt_":"Images Input ♾️MixlabApp",
@@ -1117,6 +1125,7 @@ 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 +1162,6 @@ 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 +1170,7 @@ 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 +1179,7 @@ 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 +1276,7 @@ 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 +1291,4 @@ except Exception as e:
    logging.info('TripoSR.available False' )


-
-
-
-
 logging.info('\033[93m -------------- \033[0m')
@@ -207,6 +207,36 @@ def chat(client, model_name,messages ):
        return content


+llm_apis=[
+            {
+                "value": "https://api.openai.com/v1",
+                "label": "openai"
+            },
+            {
+                "value": "https://openai.api2d.net/v1",
+                "label": "api2d"
+            },
+            # {
+            #     "value": "https://docs-test-001.openai.azure.com",
+            #     "label": "https://docs-test-001.openai.azure.com"
+            # },
+             
+            {
+                "value": "https://api.moonshot.cn/v1",
+                "label": "Kimi"
+            },
+            {
+                "value": "https://api.deepseek.com/v1",
+                "label": "DeepSeek-V2"
+            },
+            {
+                "value": "https://api.siliconflow.cn/v1",
+                "label": "SiliconCloud"
+            }]
+        
+llm_apis_dict = {api["label"]: api["value"] for api in llm_apis}
+
+
 class ChatGPTNode:
    def __init__(self):
        # self.__client = OpenAI()
@@ -216,8 +246,9 @@ class ChatGPTNode:

    @classmethod
    def INPUT_TYPES(cls):
+
        model_list=[ 
-                    "gpt-3.5-turbo",
+            "gpt-3.5-turbo",
            "gpt-3.5-turbo-16k",
            "gpt-4o",
            "gpt-4o-2024-05-13",
@@ -243,25 +274,32 @@ class ChatGPTNode:
            "01-ai/Yi-1.5-9B-Chat-16K",
            "meta-llama/Meta-Llama-3.1-8B-Instruct"
                    ]
+        
        return {
            "required": {
-                "api_key":("KEY", {"default": "", "multiline": True,"dynamicPrompts": False}),
-                "api_url":("URL", {"default": "", "multiline": True,"dynamicPrompts": False}),
+                # "api_key":("KEY", {"default": "", "multiline": True,"dynamicPrompts": False}),
+                # "api_key":("STRING", {"forceInput": True,}),
+               
                "prompt": ("STRING", {"multiline": True,"dynamicPrompts": False}),
                "system_content": ("STRING", 
                                   {
                                       "default": "You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible.", 
                                       "multiline": True,"dynamicPrompts": False
                                       }),
+                 
                "model": ( model_list, 
                    {"default": model_list[0]}),
                "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff, "step": 1}),
                "context_size":("INT", {"default": 1, "min": 0, "max":30, "step": 1}),
+                "api_url":(list(llm_apis_dict.keys()), 
+                    {"default": list(llm_apis_dict.keys())[0]}),
            },
-             "hidden": {
-                "unique_id": "UNIQUE_ID",
-                "extra_pnginfo": "EXTRA_PNGINFO",
-            },
+             "optional":{
+                    "api_key":("STRING", {"forceInput": True,}),
+                    "custom_model_name":("STRING", {"forceInput": True,}), #适合自定义model
+                     "custom_api_url":("STRING", {"forceInput": True,}), #适合自定义model
+                },
+             
        }

    RETURN_TYPES = ("STRING","STRING","STRING",)
@@ -273,12 +311,29 @@ class ChatGPTNode:

    
    def generate_contextual_text(self,
-                                 api_key,
-                                 api_url, 
+                                #  api_key,
                                 prompt, 
                                 system_content,
-                                model, 
-                                seed,context_size,unique_id = None, extra_pnginfo=None):
+                                 model, 
+                                seed,
+                                context_size,
+                                api_url,
+                                api_key=None,
+                                custom_model_name=None,
+                                custom_api_url=None,
+                                ):
+        
+        if custom_model_name!=None:
+            model=custom_model_name
+
+        api_url=llm_apis_dict[api_url] if api_url in llm_apis_dict else ""
+
+        if custom_api_url!=None:
+            api_url=custom_api_url
+
+        if api_key==None:
+            api_key="lm_studio"
+
        # print(api_key!='',api_url,prompt,system_content,model,seed)
        # 可以选择保留会话历史以维持上下文记忆
        # 或者在此处清除会话历史 self.session_history.clear()
@@ -291,7 +346,7 @@ class ChatGPTNode:
            self.system_content=system_content
            # self.session_history=[]
            # self.session_history.append({"role": "system", "content": system_content})
-        
+        print("api_key,api_url",api_key,api_url)
        # 
        if is_azure_url(api_url):
            client=azure_client(api_key,api_url)
@@ -359,7 +414,7 @@ class SiliconflowFreeNode:
            ]
        return {
            "required": {
-                "api_key":("KEY", {"default": "", "multiline": True,"dynamicPrompts": False}),
+                "api_key":("STRING", {"forceInput": True,}),
                "prompt": ("STRING", {"multiline": True,"dynamicPrompts": False}),
                "system_content": ("STRING", 
                                   {
@@ -371,10 +426,9 @@ class SiliconflowFreeNode:
                "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff, "step": 1}),
                "context_size":("INT", {"default": 1, "min": 0, "max":30, "step": 1}),
            },
-             "hidden": {
-                "unique_id": "UNIQUE_ID",
-                "extra_pnginfo": "EXTRA_PNGINFO",
-            },
+               "optional":{
+                    "custom_model_name":("STRING", {"forceInput": True,}), #适合自定义model
+                }, 
        }

    RETURN_TYPES = ("STRING","STRING","STRING",)
@@ -390,8 +444,11 @@ class SiliconflowFreeNode:
                                 prompt, 
                                 system_content,
                                model, 
-                                seed,context_size,unique_id = None, extra_pnginfo=None):
-    
+                                seed,context_size,custom_model_name=None):
+
+        if custom_model_name!=None:
+            model=custom_model_name
+
        api_url="https://api.siliconflow.cn/v1"
        
        # 把系统信息和初始信息添加到会话历史中
@@ -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)
@@ -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
@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-mixlab-nodes"
 description = "3D, ScreenShareNode & FloatingVideoNode, SpeechRecognition & SpeechSynthesis, GPT, LoadImagesFromLocal, Layers, Other Nodes, ..."
-version = "0.33.0"
+version = "0.35.1"
 license = "MIT"
 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"]

@@ -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) {
@@ -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

@@ -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 = 'v0.35.1'

 fetch(`https://api.github.com/repos/${repoOwner}/${repoName}/releases/latest`)
  .then(response => response.json())
@@ -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',
@@ -1,319 +1,5 @@
 import { app } from '../../../scripts/app.js'
-// import { api } from '../../../scripts/api.js'
 import { ComfyWidgets } from '../../../scripts/widgets.js'
-import { $el } from '../../../scripts/ui.js'
-
-async function getConfig () {
-  let api_host = `${window.location.hostname}:${window.location.port}`
-  let api_base = ''
-  let url = `${window.location.protocol}//${api_host}${api_base}`
-
-  const res = await fetch(`${url}/mixlab`, {
-    method: 'POST'
-  })
-  return await res.json()
-}
-
-function get_position_style (ctx, widget_width, y, node_height) {
-  const MARGIN = 4 // the margin around the html element
-
-  /* Create a transform that deals with all the scrolling and zooming */
-  const elRect = ctx.canvas.getBoundingClientRect()
-  const transform = new DOMMatrix()
-    .scaleSelf(
-      elRect.width / ctx.canvas.width,
-      elRect.height / ctx.canvas.height
-    )
-    .multiplySelf(ctx.getTransform())
-    .translateSelf(MARGIN, MARGIN + y)
-
-  return {
-    transformOrigin: '0 0',
-    transform: transform,
-    left: `0`,
-    top: `0`,
-    cursor: 'pointer',
-    position: 'absolute',
-    maxWidth: `${widget_width - MARGIN * 2}px`,
-    // maxHeight: `${node_height - MARGIN * 2}px`, // we're assuming we have the whole height of the node
-    width: `${widget_width - MARGIN * 2}px`,
-    // height: `${node_height * 0.3 - MARGIN * 2}px`,
-    // background: '#EEEEEE',
-    display: 'flex',
-    flexDirection: 'column',
-    // alignItems: 'center',
-    justifyContent: 'space-around'
-  }
-}
-
-const getLocalData = key => {
-  let data = {}
-  try {
-    data = JSON.parse(localStorage.getItem(key)) || {}
-  } catch (error) {
-    return {}
-  }
-  return data
-}
-
-app.registerExtension({
-  name: 'Mixlab.GPT.ChatGPTOpenAI',
-  async getCustomWidgets (app) {
-    return {
-      KEY (node, inputName, inputData, app) {
-        // console.log('##inputData', inputData)
-        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.
-      },
-      URL (node, inputName, inputData, app) {
-        // console.log('node', inputName, inputData[0])
-        const widget = {
-          type: inputData[0], // the type, CHEESE
-          name: inputName, // the name, slice
-          size: [128, 32], // a default size
-          draw (ctx, node, width, y) {
-            // a method to draw the widget (ctx is a CanvasRenderingContext2D)
-          },
-          computeSize (...args) {
-            return [128, 32] // a method to compute the current size of the widget
-          },
-          async serializeValue (nodeId, widgetIndex) {
-            let data = getLocalData('_mixlab_api_url')
-            return data[node.id] || 'https://api.openai.com/v1'
-          }
-        }
-        //  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 == 'ChatGPTOpenAI') {
-      const orig_nodeCreated = nodeType.prototype.onNodeCreated
-      nodeType.prototype.onNodeCreated = function () {
-        orig_nodeCreated?.apply(this, arguments)
-
-        const api_key = this.widgets.filter(w => w.name == 'api_key')[0]
-        const api_url = this.widgets.filter(w => w.name == 'api_url')[0]
-
-        console.log('ChatGPTOpenAI nodeData', this.widgets)
-
-        const widget = {
-          type: 'div',
-          name: 'chatgptdiv',
-          draw (ctx, node, widget_width, y, widget_height) {
-            Object.assign(
-              this.div.style,
-              get_position_style(ctx, widget_width, api_key.y, node.size[1])
-            )
-          }
-        }
-
-        widget.div = $el('div', {})
-
-        document.body.appendChild(widget.div)
-
-        const inputDiv = (key, placeholder) => {
-          let div = document.createElement('div')
-          const ip = document.createElement('input')
-          ip.type = placeholder === 'Key' ? 'password' : 'text'
-          ip.className = `${'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')
-        let inputUrl = inputDiv('_mixlab_api_url', 'URL')
-
-        widget.div.appendChild(inputKey)
-        widget.div.appendChild(inputUrl)
-
-        this.addCustomWidget(widget)
-
-        const onRemoved = this.onRemoved
-        this.onRemoved = () => {
-          inputUrl.remove()
-          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 === 'ChatGPTOpenAI') {
-      let widget = node.widgets.filter(w => w.div)[0]
-
-      let apiKey = getLocalData('_mixlab_api_key'),
-        url = getLocalData('_mixlab_api_url')
-
-      let id = node.id
-
-      // console.log('ChatGPTOpenAI serialize_widgets', this)
-
-      widget.div.querySelector('.Key').value = apiKey[id] || 'by Mixlab'
-      widget.div.querySelector('.URL').value =
-        url[id] || 'https://api.openai.com/v1'
-    }
-  }
-});
-
-
-app.registerExtension({
-  name: 'Mixlab.GPT.SiliconflowLLM',
-  async getCustomWidgets (app) {
-    return {
-      KEY (node, inputName, inputData, app) {
-        // console.log('##inputData', inputData)
-        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 == 'SiliconflowLLM') {
-      const orig_nodeCreated = nodeType.prototype.onNodeCreated
-      nodeType.prototype.onNodeCreated = function () {
-        orig_nodeCreated?.apply(this, arguments)
-
-        const api_key = this.widgets.filter(w => w.name == 'api_key')[0]
-       
-        const widget = {
-          type: 'div',
-          name: 'chatgptdiv',
-          draw (ctx, node, widget_width, y, widget_height) {
-            Object.assign(
-              this.div.style,
-              get_position_style(ctx, widget_width, api_key.y, node.size[1])
-            )
-          }
-        }
-
-        widget.div = $el('div', {})
-
-        document.body.appendChild(widget.div)
-
-        const inputDiv = (key, placeholder) => {
-          let div = document.createElement('div')
-          const ip = document.createElement('input')
-          ip.type = placeholder === 'Key' ? 'password' : 'text'
-          ip.className = `${'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)
-
-        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 === 'SiliconflowLLM') {
-      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' 
-    }
-  }
-})

 app.registerExtension({
  name: 'Mixlab.GPT.ShowTextForGPT',
@@ -328,7 +14,7 @@ app.registerExtension({
          for (let i = 0; i < this.widgets.length; i++) {
            if (this.widgets[i].name == 'show_text')
              this.widgets[i].onRemove?.()
-            console.log('#ShowTextForGPT', this.widgets[i])
+       
          }
          this.widgets.length = 2
        }
@@ -399,24 +85,5 @@ app.registerExtension({

      this.serialize_widgets = true //需要保存参数
    }
-  },
-  async loadedGraphNode (node, app) {
-    if (node.type === 'ShowTextForGPT') {
-      let widget = node.widgets.filter(w => w.name == 'show_text')[0]
-
-      // if (widget.value) {
-      //   let [url, prompt] = widget.value
-
-      //   this[`wavesurfer_${node.id}`] = updateWaveWidgetValue(
-      //     node.widgets,
-      //     node.id,
-      //     url,
-      //     prompt,
-      //     this[`wavesurfer_${node.id}`]
-      //   )
-      // }
-
-      console.log('#loadedGraphNode', node)
-    }
  }
 })
@@ -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,
@@ -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 +334,145 @@ 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, 24], // 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: 'input_key',
+          draw (ctx, node, widget_width, y, widget_height) {
+            Object.assign(
+              this.div.style,
+              get_position_style(ctx, widget_width, 24, node.size[1])
+            )
+          }
+        }
+
+        widget.div = $el('div', {})
+
+        document.body.appendChild(widget.div)
+
+        const inputDiv = (key, placeholder) => {
+          let div = document.createElement('div')
+          div.style = `
+          display: flex;
+          align-items: center; 
+          margin: 6px 8px;
+          margin-top:0px;
+          height:44px;
+          width:220px; 
+          `
+
+          const ip = document.createElement('input')
+          ip.type = 'password'
+          ip.className = `${'comfy-multiline-input'} ${placeholder}`
+
+          ip.placeholder = placeholder
+          // ip.value = placeholder
+
+          ip.style = `margin-left:8px;
+          outline: none;
+          border: none;
+          padding:12px;
+          width: 100%;
+          `
+
+          div.appendChild(ip)
+
+          ip.addEventListener('change', () => {
+            let data = getLocalData(key)
+            data[this.id] = ip.value.trim()
+            localStorage.setItem(key, JSON.stringify(data))
+          })
+
+          return div
+        }
+
+        let inputKey = inputDiv('_mixlab_api_key', 'Key')
+
+        widget.div.appendChild(inputKey)
+
+        this.addCustomWidget(widget)
+
+        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) {
+    if (node.type === 'KeyInput') {
+      let widget = node.widgets.filter(w => w.div)[0]
+
+      let apiKey = getLocalData('_mixlab_api_key')
+
+      let id = node.id
+      if (widget.div.querySelector('.Key'))
+        widget.div.querySelector('.Key').value = apiKey[id] || 'by Mixlab'
+    }
+  },
+  nodeCreated (node, app) {
+    //数据延迟？？
+    setTimeout(() => {
+      // console.log('#LoadImagesToBatch', node.type)
+      if (node.type === 'KeyInput') {
+        let widget = node.widgets.filter(w => w.div)[0]
+
+        let apiKey = getLocalData('_mixlab_api_key')
+
+        let id = node.id
+
+        if (widget.div.querySelector('.Key'))
+          widget.div.querySelector('.Key').value = apiKey[id] || 'by Mixlab'
+      }
+    }, 1000)
+  }
 })
@@ -0,0 +1,408 @@
+{
+  "last_node_id": 21,
+  "last_link_id": 16,
+  "nodes": [
+    {
+      "id": 10,
+      "type": "ChatGPTOpenAI",
+      "pos": [
+        489,
+        689
+      ],
+      "size": {
+        "0": 403.2580261230469,
+        "1": 309.2166442871094
+      },
+      "flags": {},
+      "order": 5,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "api_key",
+          "type": "STRING",
+          "link": null,
+          "widget": {
+            "name": "api_key"
+          }
+        },
+        {
+          "name": "custom_model_name",
+          "type": "STRING",
+          "link": null,
+          "widget": {
+            "name": "custom_model_name"
+          }
+        },
+        {
+          "name": "custom_api_url",
+          "type": "STRING",
+          "link": 13,
+          "widget": {
+            "name": "custom_api_url"
+          },
+          "slot_index": 2
+        }
+      ],
+      "outputs": [
+        {
+          "name": "text",
+          "type": "STRING",
+          "links": [
+            12
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "messages",
+          "type": "STRING",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "session_history",
+          "type": "STRING",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ChatGPTOpenAI"
+      },
+      "widgets_values": [
+        "hi",
+        "You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible.",
+        "gpt-3.5-turbo",
+        447210757728856,
+        "randomize",
+        1,
+        "openai",
+        "",
+        "",
+        ""
+      ]
+    },
+    {
+      "id": 3,
+      "type": "ShowTextForGPT",
+      "pos": [
+        982,
+        686
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+      "size": {
+        "0": 400,
+        "1": 200
+      },
+      "flags": {},
+      "order": 7,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "text",
+          "type": "STRING",
+          "link": 12,
+          "widget": {
+            "name": "text"
+          }
+        },
+        {
+          "name": "output_dir",
+          "type": "STRING",
+          "link": null,
+          "widget": {
+            "name": "output_dir"
+          }
+        }
+      ],
+      "outputs": [
+        {
+          "name": "STRING",
+          "type": "STRING",
+          "links": null,
+          "shape": 6
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ShowTextForGPT"
+      },
+      "widgets_values": [
+        "",
+        "",
+        " Hi there! What can I help you with?"
+      ]
+    },
+    {
+      "id": 11,
+      "type": "SiliconflowLLM",
+      "pos": [
+        489,
+        318
+      ],
+      "size": {
+        "0": 395.197998046875,
+        "1": 262
+      },
+      "flags": {},
+      "order": 4,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "api_key",
+          "type": "STRING",
+          "link": 16,
+          "widget": {
+            "name": "api_key"
+          }
+        },
+        {
+          "name": "custom_model_name",
+          "type": "STRING",
+          "link": null,
+          "widget": {
+            "name": "custom_model_name"
+          }
+        }
+      ],
+      "outputs": [
+        {
+          "name": "text",
+          "type": "STRING",
+          "links": [
+            15
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "messages",
+          "type": "STRING",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "session_history",
+          "type": "STRING",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "SiliconflowLLM"
+      },
+      "widgets_values": [
+        "",
+        "",
+        "You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible.",
+        "Qwen/Qwen2-7B-Instruct",
+        593422808835285,
+        "randomize",
+        1,
+        ""
+      ]
+    },
+    {
+      "id": 17,
+      "type": "ShowTextForGPT",
+      "pos": [
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+      ],
+      "size": {
+        "0": 400,
+        "1": 200
+      },
+      "flags": {},
+      "order": 6,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "text",
+          "type": "STRING",
+          "link": 15,
+          "widget": {
+            "name": "text"
+          }
+        },
+        {
+          "name": "output_dir",
+          "type": "STRING",
+          "link": null,
+          "widget": {
+            "name": "output_dir"
+          }
+        }
+      ],
+      "outputs": [
+        {
+          "name": "STRING",
+          "type": "STRING",
+          "links": null,
+          "shape": 6
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ShowTextForGPT"
+      },
+      "widgets_values": [
+        "",
+        "",
+        "Hello! How can I assist you today?"
+      ]
+    },
+    {
+      "id": 18,
+      "type": "KeyInput",
+      "pos": [
+        46,
+        319
+      ],
+      "size": {
+        "0": 315,
+        "1": 70
+      },
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "key",
+          "type": "STRING",
+          "links": [
+            16
+          ],
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "KeyInput"
+      },
+      "widgets_values": [
+        null,
+        null
+      ]
+    },
+    {
+      "id": 12,
+      "type": "TextInput_",
+      "pos": [
+        31,
+        871
+      ],
+      "size": [
+        407.9377612789413,
+        76
+      ],
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "STRING",
+          "type": "STRING",
+          "links": [
+            13
+          ],
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "TextInput_"
+      },
+      "widgets_values": [
+        "http://127.0.0.1:8000/v1"
+      ]
+    },
+    {
+      "id": 20,
+      "type": "Note",
+      "pos": [
+        35,
+        664
+      ],
+      "size": [
+        350.04604707424306,
+        116.54209784249178
+      ],
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "properties": {
+        "text": ""
+      },
+      "widgets_values": [
+        "api_key 填写对应平台的Key\ncustom model和api 根据需要自行填写\n\n如果不填写custome，则按照model和api_url选择的选项"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 21,
+      "type": "Note",
+      "pos": [
+        42,
+        438
+      ],
+      "size": {
+        "0": 350.0460510253906,
+        "1": 116.54209899902344
+      },
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "properties": {
+        "text": ""
+      },
+      "widgets_values": [
+        "API key节点不会保存到workflow的json文件。\n\n：：会保存到appinfo导出的app.json里\n\n\n注册https://cloud.siliconflow.cn/account/ak 领取免费的API"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    }
+  ],
+  "links": [
+    [
+      12,
+      10,
+      0,
+      3,
+      0,
+      "STRING"
+    ],
+    [
+      13,
+      12,
+      0,
+      10,
+      2,
+      "STRING"
+    ],
+    [
+      15,
+      11,
+      0,
+      17,
+      0,
+      "STRING"
+    ],
+    [
+      16,
+      18,
+      0,
+      11,
+      0,
+      "STRING"
+    ]
+  ],
+  "groups": [],
+  "config": {},
+  "extra": {
+    "ds": {
+      "scale": 0.9646149645000006,
+      "offset": [
+        170.81398913081276,
+        -128.0066534315481
+      ]
+    }
+  },
+  "version": 0.4
+}
Author	SHA1	Message	Date
shadowcz007	05b3088b75	0.35.1	2024-08-04 18:02:13 +08:00
shadowcz007	fe57286959	v0.34.0	2024-08-04 15:28:47 +08:00
shadowcz007	03645bbb33	image batch to list	2024-08-04 13:35:22 +08:00
shadowcz007	93dba9a399	fixbug :load image (base64)	2024-08-04 12:12:41 +08:00
shadowcz007	5627ea8073	Merge branch 'main' of https://github.com/shadowcz007/comfyui-mixlab-nodes	2024-08-04 09:40:43 +08:00
shadowcz007	7ba679c9ce	fixbug	2024-08-04 09:40:40 +08:00
shadow	c7a450e6ce	Merge pull request #289 from ComfyNodePRs/licence-update Update PyProject Toml - License	2024-08-03 17:50:25 +08:00
snomiao	beda5156bf	chore(licence-update): Update PyProject Toml - License	2024-08-02 23:03:55 +00:00
shadowcz007	76a9da7163	fixbug	2024-08-02 18:32:27 +08:00