test

2023-12-29 13:27:48 +08:00 · 2023-12-29 12:59:27 +08:00 · 2023-12-29 12:49:05 +08:00
25 changed files with 1124 additions and 2108 deletions
@@ -2,5 +2,4 @@ __pycache__/
 https/
 nodes/config.json
 workflow/my_workflow.json
-workflow/my_workflow_app.json
-app/*
+workflow/my_workflow_app.json
@@ -1,33 +1,32 @@
-
-### Workflow-to-APP 🚀🚗🚚🏃
+## 
+v0.6.0 🚀🚗🚚🏃‍ Workflow-to-APP
 - 新增AppInfo节点，可以通过简单的配置，把workflow转变为一个Web APP。
- 支持多个web app 切换
-
- Support multiple web app switching.
 - Add the AppInfo node, which allows you to transform the workflow into a web app by simple configuration.

-![](./assets/0-m-app.png)
-
 ![](./assets/appinfo-readme.png)
-
 Example:
 - workflow
 ![APP info](./workflow/appinfo-workflow.svg)
-[text-to-image](./workflow/Text-to-Image-app.json)

 APP-JSON:
- [text-to-image](./example/text-to-image_1_Wed%20Dec%2027%202023.json)
- [image-to-image](./example/image-to-image_1_Wed%20Dec%2027%202023.json)
+- [text-to-image](./app/text-to-image_1_Wed%20Dec%2027%202023.json)
+- [image-to-image](./app/image-to-image_1_Wed%20Dec%2027%202023.json)
 - text-to-text

-> 暂时支持6种节点作为界面上的输入节点：Load Image、CLIPTextEncode、TextInput_、FloatSlider、IntNumber、CheckpointLoaderSimple、LoraLoader
+> 暂时支持6种节点作为界面上的输入节点：Load Image、CLIPTextEncode、TextInput_、FloatSlider、CheckpointLoaderSimple、LoraLoader

-> 输出节点：PreviewImage 、SaveImage、ShowTextForGPT、VHS_VideoCombine
+> 输出节点：PreviewImage 、SaveImage、ShowTextForGPT


-### Real-time Design
-> ScreenShareNode & FloatingVideoNode. Now comfyui supports capturing screen pixel streams from any software and can be used for LCM-Lora integration. Let's get started with implementation and design! 💻🌐
+### 3D
+![](./assets/3dimage.png)
+[workflow](./workflow/3D-workflow.json)

+
+### ScreenShareNode & FloatingVideoNode
+> Now comfyui supports capturing screen pixel streams from any software and can be used for LCM-Lora integration. Let's get started with implementation and design! 💻🌐
+
+> 
 ![screenshare](./assets/screenshare.png)

 https://github.com/shadowcz007/comfyui-mixlab-nodes/assets/12645064/e7e77f90-e43e-410a-ab3a-1952b7b4e7da
@@ -38,7 +37,6 @@ https://github.com/shadowcz007/comfyui-mixlab-nodes/assets/12645064/e7e77f90-e43

 !! Please use the address with HTTPS (https://127.0.0.1).

-
 ### SpeechRecognition & SpeechSynthesis
 ![f](./assets/audio-workflow.svg)

@@ -47,23 +45,11 @@ https://github.com/shadowcz007/comfyui-mixlab-nodes/assets/12645064/e7e77f90-e43
 ### GPT
 > Support for calling multiple GPTs.ChatGPT、ChatGLM3 , 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)

 [workflow-5](./workflow/5-gpt-workflow.json)

-### 3D
-![](./assets/3dimage.png)
-[workflow](./workflow/3D-workflow.json)
-
-
-### Layers
-> A new layer class node has been added, allowing you to separate the image into layers. After merging the images, you can input the controlnet for further processing.
-
-![layers](./assets/layers-workflow.svg)
-
-![poster](./assets/poster-workflow.svg)
-
-
 ### LoadImagesFromLocal
 > Monitor changes to images in a local folder, and trigger real-time execution of workflows, supporting common image formats, especially PSD format, in conjunction with Photoshop. 

@@ -75,6 +61,13 @@ https://github.com/shadowcz007/comfyui-mixlab-nodes/assets/12645064/e7e77f90-e43
 > Conveniently load images from a fixed address on the internet to ensure that default images in the workflow can be executed.


+### Layers
+> A new layer class node has been added, allowing you to separate the image into layers. After merging the images, you can input the controlnet for further processing.
+
+![layers](./assets/layers-workflow.svg)
+
+![poster](./assets/poster-workflow.svg)
+
 ## Utils
 > The Color node provides a color picker for easy color selection, the Font node offers built-in font selection for use with TextImage to generate text images, and the DynamicDelayByText node allows delayed execution based on the length of the input text.

@@ -114,10 +107,6 @@ Add edges to an image.
 ![FeatheredMask](./assets/FlVou_Y6kaGWYoEj1Tn0aTd4AjMI.jpg)


-> LaMaInpainting
-
-from [simple-lama-inpainting](https://github.com/enesmsahin/simple-lama-inpainting)
-

 ### Improvement 

@@ -131,26 +120,14 @@ An improvement has been made to directly redirect to GitHub to search for missin
 ![node-not-found](./assets/node-not-found.png)


-### Update 
-v0.8.0 🚀🚗🚚🏃‍ LaMaInpainting
- 新增 LaMaInpainting
- 优化color节点的输出
- 修复高清显示屏上定位节点不准的情况
-
- Add LaMaInpainting
- Optimize the output of the color node
- Fix the issue of inaccurate positioning node on high-definition display screens
-
-
 ### Models
-[Download CLIPSeg](https://huggingface.co/CIDAS/clipseg-rd64-refined/tree/main), move to : models/clipseg
-
-[Download lama](https://github.com/enesmsahin/simple-lama-inpainting/releases/download/v0.1.0/big-lama.pt), move to : models/lama
+[Download CLIPSeg](https://huggingface.co/CIDAS/clipseg-rd64-refined/tree/main), move to : model/clipseg

 <!-- ### Workflow
 [Workflow](./workflow.md) -->


+
 ## Installation

 manually install, simply clone the repo into the custom_nodes directory with this command:
@@ -184,6 +161,7 @@ pip3 install -r requirements.txt
 访问 [www.mixcomfy.com](https://www.mixcomfy.com)，获得更多内测功能，关注微信公众号：Mixlab无界社区


+
 #### Thanks:
 [ComfyUI-CLIPSeg](https://github.com/biegert/ComfyUI-CLIPSeg/tree/main)

@@ -4,7 +4,7 @@ import subprocess
 import importlib.util
 import sys,json
 import urllib
-import hashlib
+
 import datetime


@@ -79,13 +79,6 @@ install_openai()
 current_path = os.path.abspath(os.path.dirname(__file__))


-
-def calculate_md5(string):
-    encoded_string = string.encode()
-    md5_hash = hashlib.md5(encoded_string).hexdigest()
-    return md5_hash
-
-
 def create_key(key_p,crt_p):
    import OpenSSL
    # 生成自签名证书
@@ -169,75 +162,17 @@ def get_workflows():
    workflows=read_workflow_json_files(workflow_path)
    return workflows

-def get_my_workflow_for_app(filename="my_workflow_app.json"):
-    app_path=os.path.join(current_path, "app")
-    if not os.path.exists(app_path):
-        os.mkdir(app_path)
-
-    apps=[]
-    if filename==None:
-        data=read_workflow_json_files(app_path)
-        i=0
-        for item in data:
-            try:
-                x=item["data"]
-                if i==0:
-                    apps.append({
-                        "filename":item["filename"],
-                        "data":x,
-                        "date":item["date"]
-                    })
-                else:
-                    apps.append({
-                        "filename":item["filename"],
-                        "data":{
-                            "app":{
-                                "description":x['app']['description'],
-                                "filename":(x['app']['filename'] if 'filename' in x['app'] else "") ,
-                                "icon":(x['app']['icon'] if 'icon' in x['app'] else None),
-                                "name":x['app']['name'],
-                                "version":x['app']['version'],
-                            }
-                        },
-                        "date":item["date"]
-                    })
-                i+=1
-            except Exception as e:
-                print("发生异常：", str(e))
-    else:
-        app_workflow_path=os.path.join(app_path, filename)
-        # print('app_workflow_path: ',app_workflow_path)
-        try:
-            with open(app_workflow_path) as json_file:
-                apps = [{
-                    'filename':filename,
-                    'data':json.load(json_file)
-                }]
-        except Exception as e:
-            print("发生异常：", str(e))
-        
-        if len(apps)==1:
-            data=read_workflow_json_files(app_path)
-            
-            for item in data:
-                x=item["data"]
-                print(apps[0]['filename'] ,item["filename"])
-                if apps[0]['filename']!=item["filename"]:
-                    apps.append({
-                        "filename":item["filename"],
-                        "data":{
-                            "app":{
-                                "description":x['app']['description'],
-                                "filename":(x['app']['filename'] if 'filename' in x['app'] else "") ,
-                                "icon":(x['app']['icon'] if 'icon' in x['app'] else None),
-                                "name":x['app']['name'],
-                                "version":x['app']['version'],
-                            }
-                        },
-                        "date":item["date"]
-                    })
-
-    return apps
+def get_my_workflow_for_app():
+    # print("#####path::", current_path)
+    workflow_path=os.path.join(current_path, "workflow/my_workflow_app.json")
+    print('workflow_path: ',workflow_path)
+    json_data={}
+    try:
+        with open(workflow_path) as json_file:
+            json_data = json.load(json_file)
+    except:
+        print('-')
+    return json_data

 def save_workflow_json(data):
    workflow_path=os.path.join(current_path, "workflow/my_workflow.json")
@@ -245,22 +180,11 @@ def save_workflow_json(data):
        json.dump(data, file)
    return workflow_path

-def save_workflow_for_app(data,filename="my_workflow_app.json"):
-    app_path=os.path.join(current_path, "app")
-    if not os.path.exists(app_path):
-        os.mkdir(app_path)
-    app_workflow_path=os.path.join(app_path, filename)
- 
-    try:
-        output_str = json.dumps(data['output'])
-        data['app']['id']=calculate_md5(output_str)
-        # id=data['app']['id']
-    except Exception as e:
-        print("发生异常：", str(e))
-    
-    with open(app_workflow_path, 'w') as file:
+def save_workflow_for_app(data):
+    workflow_path=os.path.join(current_path, "workflow/my_workflow_app.json")
+    with open(workflow_path, 'w') as file:
        json.dump(data, file)
-    return filename
+    return workflow_path

 def get_nodes_map():
    # print("#####path::", current_path)
@@ -278,6 +202,8 @@ def get_nodes_map():
    return json_data


+
+
 # 保存原始的 get 方法
 _original_request = aiohttp.ClientSession._request

@@ -346,6 +272,10 @@ async def mixlab_hander(request):
            print(e)
    return web.json_response(data)

+# @routes.post('/test')
+# async def mixlab_hander(request):
+#     test_auto()
+#     return web.Response(text="test", status=200)

@routes.get('/mixlab/app')
 async def mixlab_app_handler(request):
@@ -371,17 +301,14 @@ async def mixlab_workflow_hander(request):
                    'file_path':file_path
                }
            elif data['task']=='save_app':
-                file_path=save_workflow_for_app(data['data'],data['filename'])
+                file_path=save_workflow_for_app(data['data'])
                result={
                    'status':'success',
                    'file_path':file_path
                }
            elif data['task']=='my_app':
-                filename=None
-                if 'filename' in data:
-                    filename=data['filename']
                result={
-                    'data':get_my_workflow_for_app(filename),
+                    'data':get_my_workflow_for_app(),
                    'status':'success',
                }
            elif data['task']=='list':
@@ -438,14 +365,14 @@ PromptServer.add_routes=new_add_routes

 # 导入节点
 from .nodes.PromptNode import RandomPrompt
-from .nodes.ImageNode import NoiseImage,TransparentImage,LoadImagesFromPath,LoadImagesFromURL,ResizeImage,TextImage,SvgImage,Image3D,ShowLayer,NewLayer,MergeLayers,AreaToMask,SmoothMask,FeatheredMask,SplitLongMask,ImageCropByAlpha,EnhanceImage,FaceToMask
+from .nodes.ImageNode import NoiseImage,TransparentImage,LoadImagesFromPath,LoadImagesFromURL,UploadImageForSMMS,ResizeImage,TextImage,SvgImage,Image3D,EmptyLayer,ShowLayer,NewLayer,MergeLayers,AreaToMask,SmoothMask,FeatheredMask,SplitLongMask,ImageCropByAlpha,EnhanceImage,FaceToMask
 from .nodes.Vae import VAELoader,VAEDecode
 from .nodes.ScreenShareNode import ScreenShareNode,FloatingVideo
 from .nodes.Clipseg import CLIPSeg,CombineMasks
 from .nodes.ChatGPT import ChatGPTNode,ShowTextForGPT,CharacterInText
 from .nodes.Audio import GamePal,SpeechRecognition,SpeechSynthesis
 from .nodes.Utils import AppInfo,IntNumber,FloatSlider,TextInput,ColorInput,FontInput,TextToNumber,DynamicDelayProcessor,LimitNumber,SwitchByIndex,GetImageSize_,MultiplicationNode
-from .nodes.Lama import LaMaInpainting
+from .nodes.ShareNode import ShareToWeibo

 # 要导出的所有节点及其名称的字典
 # 注意：名称应全局唯一
@@ -492,7 +419,8 @@ NODE_CLASS_MAPPINGS = {
    "GetImageSize_":GetImageSize_,
    "SwitchByIndex":SwitchByIndex,
    "LimitNumber":LimitNumber, 
-    "LaMaInpainting":LaMaInpainting
+    "UploadImageForSMMS":UploadImageForSMMS,
+    "ShareToWeibo":ShareToWeibo
    # "GamePal":GamePal
 }

@@ -512,8 +440,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
    "SpeechSynthesis":"SpeechSynthesis ♾️Mixlab",
    "SpeechRecognition":"SpeechRecognition ♾️Mixlab",
    "3DImage":"3DImage ♾️Mixlab",
-    "DynamicDelayProcessor":"DynamicDelayByText ♾️Mixlab",
-    "LaMaInpainting":"LaMaInpainting ♾️Mixlab"
+    "DynamicDelayProcessor":"DynamicDelayByText ♾️Mixlab"

    # "GamePal":"GamePal ♾️Mixlab"
 }
@@ -522,5 +449,5 @@ NODE_DISPLAY_NAME_MAPPINGS = {
 WEB_DIRECTORY = "./web"

 print('--------------')
-print('\033[91m ### Mixlab Nodes: \033[93mLoaded\033[0m')
+print('\033[91mMixlab Nodes: \033[93mLoaded\033[0m')
 print('--------------')
@@ -4793,14 +4793,18 @@
            "SplitLongMask",
            "SvgImage",
            "TextImage",
-            "ResizeImageMixlab",
            "TransparentImage",
            "VAEDecodeConsistencyDecoder",
            "VAELoaderConsistencyDecoder",
            "TextToNumber",
            "TextInput_",
            "DynamicDelayProcessor",
-            "LaMaInpainting"
+            "MultiplicationNode",
+            "ShareToWeibo",
+            "LimitNumber",
+            "SwitchByIndex",
+            "UploadImageForSMMS",
+            "GetImageSize_"
        ],
        {
            "title_aux": "comfyui-mixlab-nodes"
@@ -75,11 +75,11 @@ class ChatGPTNode:
            "required": {
                "api_key":("KEY", {"default": "", "multiline": True}),
                "api_url":("URL", {"default": "", "multiline": True}),
-                "prompt": ("STRING", {"multiline": True,"dynamicPrompts": False}),
+                "prompt": ("STRING", {"multiline": True}),
                "system_content": ("STRING", 
                                   {
                                       "default": "You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible.", 
-                                       "multiline": True,"dynamicPrompts": False
+                                       "multiline": True
                                       }),
                "model": (["gpt-3.5-turbo","gpt-35-turbo","gpt-3.5-turbo-16k", "gpt-3.5-turbo-16k-0613", "gpt-4-0613","gpt-4-1106-preview"], 
                          {"default": "gpt-3.5-turbo"}),
@@ -167,7 +167,7 @@ class ShowTextForGPT:
    def INPUT_TYPES(s):
        return {
            "required": {
-                "text": ("STRING", {"forceInput": True,"dynamicPrompts": False}),
+                "text": ("STRING", {"forceInput": True}),
            }
        }

@@ -189,8 +189,8 @@ class CharacterInText:
    def INPUT_TYPES(s):
        return {
            "required": {
-                 "text": ("STRING", {"multiline": True,"dynamicPrompts": False}),
-                 "character": ("STRING", {"multiline": True,"dynamicPrompts": False}),
+                 "text": ("STRING", {"multiline": True}),
+                 "character": ("STRING", {"multiline": True}),
                 "start_index": ("INT", {
                    "default": 1,
                    "min": 0, #Minimum value
@@ -101,7 +101,7 @@ class CLIPSeg:
        return {"required":
                    {
                        "image": ("IMAGE",),
-                        "text": ("STRING", {"multiline": False,"dynamicPrompts": False}),
+                        "text": ("STRING", {"multiline": False}),
                        
                     },
                "optional":
@@ -246,7 +246,7 @@ class CombineMasks:
        
        # Resize heatmap and binary mask to match the original image dimensions
        dimensions = (image_np.shape[1], image_np.shape[0])
-        # print('heatmap',heatmap)
+        print('heatmap',heatmap)
        if dimensions is None or dimensions[0] == 0 or dimensions[1] == 0:
            raise ValueError("Invalid dimensions")
        
@@ -506,7 +506,6 @@ def generate_text_image(text, font_path, font_size, text_color, vertical=True, s
        y = 0
        for line in lines:
            for char in line:
-                #print('char',char)
                char_coordinates.append((x, y))
                x += font_size + spacing
            y += font_size + spacing
@@ -515,10 +514,10 @@ def generate_text_image(text, font_path, font_size, text_color, vertical=True, s
    # 3. Calculate image width and height
    if layout == "vertical":
        width = (len(lines) * (font_size + spacing)) - spacing
-        height = ((len(max(lines, key=len))+1) * (font_size + spacing)) + spacing
+        height = (len(max(lines, key=len)) * (font_size + spacing)) + spacing
    else:
        width = (len(max(lines, key=len)) * (font_size + spacing)) - spacing
-        height = ((len(lines)-1) * (font_size + spacing)) + font_size
+        height = (len(lines) * (font_size + spacing)) + spacing

    # 4. Draw each character on the image
    image = Image.new('RGBA', (width, height), (255, 255, 255,0))
@@ -561,7 +560,7 @@ def base64_to_image(base64_string):
    return image


-def create_temp_file(image):
+def create_temp_file(image,fn='material'):
    output_dir = folder_paths.get_temp_directory()

    (
@@ -570,7 +569,7 @@ def create_temp_file(image):
            counter,
            subfolder,
            _,
-        ) = folder_paths.get_save_image_path('material', output_dir)
+        ) = folder_paths.get_save_image_path(fn, output_dir)

    
    image=tensor2pil(image)
@@ -587,6 +586,42 @@ def create_temp_file(image):
                "type": "temp"
                }]

+def create_temp_file_for_upload(image,fn='tmp'):
+    output_dir = folder_paths.get_temp_directory()
+
+    (
+            full_output_folder,
+            filename,
+            counter,
+            subfolder,
+            _,
+        ) = folder_paths.get_save_image_path(fn, output_dir)
+
+    
+    image=tensor2pil(image)
+ 
+    image_file = f"{filename}_{counter:05}.png"
+     
+    image_path=os.path.join(full_output_folder, image_file)
+
+    image.save(image_path,compress_level=4)
+
+    return image_path
+
+
+def upload_smms(fp,token):
+    # print(json.dumps(res, indent=4))
+    image_url=''
+    try:
+        headers = {'Authorization': token}
+        files = {'smfile': open(fp, 'rb')}
+        url = 'https://smms.app/api/v2/upload'
+        res = requests.post(url, files=files, headers=headers).json()
+        image_url=res['data']['url']
+    except:
+        print('upload error')
+    return image_url
+

 class SmoothMask:
    @classmethod
@@ -991,8 +1026,8 @@ class TextImage:
    def INPUT_TYPES(s):
        return {"required": { 
            
-                    "text": ("STRING",{"multiline": True,"default": "龍馬精神迎新歲","dynamicPrompts": False}),
-                    "font_path": ("STRING",{"multiline": False,"default": FONT_PATH,"dynamicPrompts": False}),
+                    "text": ("STRING",{"multiline": True,"default": "龍馬精神迎新歲"}),
+                    "font_path": ("STRING",{"multiline": False,"default": FONT_PATH}),
                    "font_size": ("INT",{
                                "default":100, 
                                "min": 100, #Minimum value
@@ -1002,12 +1037,12 @@ class TextImage:
                                }), 
                    "spacing": ("INT",{
                                "default":12, 
-                                "min": -200, #Minimum value
+                                "min": 1, #Minimum value
                                "max": 200, #Maximum value
                                "step": 1, #Slider's step
                                "display": "number" # Cosmetic only: display as "number" or "slider"
                                }), 
-                    "text_color":("STRING",{"multiline": False,"default": "#000000","dynamicPrompts": False}),
+                    "text_color":("STRING",{"multiline": False,"default": "#000000"}),
                    "vertical":("BOOLEAN", {"default": True},),
                             },
                }
@@ -1677,4 +1712,60 @@ class ResizeImage:

        im=pil2tensor(im)
        
-        return (im,)
+        return (im,)
+    
+
+
+
+class UploadImageForSMMS:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "image": ("IMAGE",),
+            "token": ("STRING",{"multiline": False,"default": "","dynamicPrompts": False}),
+                             }, 
+                }
+    
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("url",)
+
+    FUNCTION = "run"
+
+    CATEGORY = "♾️Mixlab/image"
+
+    INPUT_IS_LIST = False
+    OUTPUT_IS_LIST = (False,)
+
+    def run(self,image,token):
+        # print(image,token)
+        fp=create_temp_file_for_upload(image)
+
+        url=upload_smms(fp,token)
+        
+        return (url,)
+    
+
+# 压缩到5M
+# from PIL import Image
+# import os
+
+# def compress_image(input_image_path, output_image_path):
+#     image = Image.open(input_image_path)
+#     image.save(output_image_path, optimize=True, quality=50)
+
+# def get_image_size(image_path):
+#     return os.path.getsize(image_path) / (1024 * 1024)  # 将文件大小从字节转换为兆字节
+
+# def compress_to_5mb(input_image_path, output_image_path):
+#     compress_image(input_image_path, output_image_path)
+#     max_iterations = 10  # 设置最大循环次数
+#     iterations = 0
+#     while get_image_size(output_image_path) > 5 and iterations < max_iterations:
+#         compress_image(output_image_path, output_image_path)
+#         iterations += 1
+
+# # 示例用法
+# input_image_path = "input.jpg"
+# output_image_path = "output.jpg"
+# compress_to_5mb(input_image_path, output_image_path)
+
@@ -1,85 +0,0 @@
-import os
-import folder_paths
-from simple_lama_inpainting import SimpleLama
-from PIL import Image
-
-import numpy as np
-
-import torch
-
-
-os.environ['LAMA_MODEL'] =  os.path.join(folder_paths.models_dir, "lama/big-lama.pt")
-if os.environ.get("LAMA_MODEL"):
-    model_path=os.environ.get("LAMA_MODEL")
-    if not os.path.exists(model_path):
-        os.environ['LAMA_MODEL']=''
-        raise FileNotFoundError(
-            f"lama torchscript model not found: {model_path}"
-                )
-
-# Tensor to PIL
-def tensor2pil(image):
-    return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8))
-
-# Convert PIL to Tensor
-def pil2tensor(image):
-    return torch.from_numpy(np.array(image).astype(np.float32) / 255.0).unsqueeze(0)
-
-
-# simple_lama = SimpleLama()
-
-# img_path = "image.png"
-# mask_path = "mask.png"
-
-# image = Image.open(img_path)
-# mask = Image.open(mask_path).convert('L')
-
-# result = simple_lama(image, mask)
-# result.save("inpainted.png")
-
-
-class LaMaInpainting:
-    @classmethod
-    def INPUT_TYPES(s):
-        return {"required": {
-            "image": ("IMAGE",),
-            "mask": ("MASK",),
-                             },
-
-            
-                }
-    
-    RETURN_TYPES = ("IMAGE",)
-
-    FUNCTION = "run"
-
-    CATEGORY = "♾️Mixlab/image"
-
-    INPUT_IS_LIST = True
-    OUTPUT_IS_LIST = (True,)
-    global simple_lama
-    simple_lama = None
-    def run(self,image,mask):
-        global simple_lama
-
-        result=[]
-        if simple_lama==None:
-            simple_lama = SimpleLama()
-        else:
-            simple_lama.model.to("cuda" if torch.cuda.is_available() else "cpu")
-
-        for i in range(len(image)):
-            im=image[i]
-            ma=mask[i]
-            im=tensor2pil(im)
-            ma=tensor2pil(ma)
-            ma =ma.convert('L')
-            
-            res = simple_lama(im, ma)
-            res=pil2tensor(res)
-            result.append(res)
-        # result.save("inpainted.png")
-        if simple_lama.device=='cuda':
-            simple_lama.model.to('cpu')
-
-        return (result,)
@@ -0,0 +1,37 @@
+
+import urllib.parse
+
+
+# 分享到微博
+class ShareToWeibo:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "title":("STRING",{"multiline": True,"default": "","dynamicPrompts": False}),
+                "pic_url":("STRING",{"multiline": False,"default": "","dynamicPrompts": False}),
+                "url":("STRING",{"multiline": False,"default": "","dynamicPrompts": False}),
+            }
+        }
+
+    RETURN_TYPES = ()
+    # RETURN_NAMES = ("number",)
+
+    FUNCTION = "run"
+
+    CATEGORY = "♾️Mixlab/share"
+
+    INPUT_IS_LIST = False
+    OUTPUT_NODE = True
+    # OUTPUT_IS_LIST = ()
+
+    def run(self, title, pic_url, url):
+        encoded_title = urllib.parse.quote(title)
+        encoded_pic_url = urllib.parse.quote(pic_url)
+        encoded_url = urllib.parse.quote(url)
+        url = "https://service.weibo.com/share/share.php?title={}&pic={}&url={}".format(encoded_title,encoded_pic_url,encoded_url)
+        print(url)
+        return {"ui": {"url": [url]}, "result": ()}
+    
+
+
@@ -88,23 +88,18 @@ class ColorInput:
                             },
                }
    
-    RETURN_TYPES = ("STRING","INT","INT","INT","FLOAT",)
-    RETURN_NAMES = ("hex","r","g","b","a",)
+    RETURN_TYPES = ("STRING",)
+    # RETURN_NAMES = ("WIDTH","HEIGHT","X","Y",)

    FUNCTION = "run"

    CATEGORY = "♾️Mixlab/utils"

    INPUT_IS_LIST = False
-    OUTPUT_IS_LIST = (False,False,False,False,False,)
+    OUTPUT_IS_LIST = (False,False,)

    def run(self,color):
-        h=color['hex']
-        r=color['r']
-        g=color['g']
-        b=color['b']
-        a=color['a']
-        return (h,r,g,b,a,)
+        return (color,)



@@ -374,14 +369,14 @@ class AppInfo:
    @classmethod
    def INPUT_TYPES(s):
        return {"required": { 
-                    "name": ("STRING",{"multiline": False,"default": "Mixlab-App","dynamicPrompts": False}),
+                    "name": ("STRING",{"multiline": False,"default": "Mixlab-App"}),
                    "image": ("IMAGE",),
-                    "input_ids":("STRING",{"multiline": True,"default": "\n".join(["1","2","3"]),"dynamicPrompts": False}),
-                    "output_ids":("STRING",{"multiline": True,"default": "\n".join(["5","9"]),"dynamicPrompts": False}),
+                    "input_ids":("STRING",{"multiline": True,"default": "\n".join(["1","2","3"])}),
+                    "output_ids":("STRING",{"multiline": True,"default": "\n".join(["5","9"])}),
                             },

                "optional":{
-                    "description":("STRING",{"multiline": True,"default": "","dynamicPrompts": False}),
+                    "description":("STRING",{"multiline": True,"default": ""}),
                    "version":("INT", {
                        "default": 1, 
                        "min": 1, 
@@ -389,7 +384,6 @@ class AppInfo:
                        "step": 1, 
                        "display": "number"  
                    }),
-                    "share_prefix":("STRING",{"multiline": False,"default": "","dynamicPrompts": False}),
                }

                }
@@ -403,14 +397,15 @@ class AppInfo:

    INPUT_IS_LIST = False
    OUTPUT_IS_LIST = (False,)
+    OUTPUT_NODE = True

-    def run(self,name,image,input_ids,output_ids,description,version,share_prefix):
+    def run(self,name,image,input_ids,output_ids,description,version):

        im=create_temp_file(image)
        
        # id=get_json_hash([name,im,input_ids,output_ids,description,version])

-        return {"ui": {"json": [name,im,input_ids,output_ids,description,version,share_prefix]}, "result": (image,)}
+        return {"ui": {"json": [name,im,input_ids,output_ids,description,version]}, "result": (image,)}
    

    
@@ -530,3 +525,5 @@ class LimitNumber:
        
        return (nn,)

+
+ 
@@ -4,4 +4,4 @@ watchdog
 opencv-python-headless
 matplotlib
 openai
-simple-lama-inpainting
+# playwright
@@ -13,77 +13,7 @@
            margin-left: 5%;
        }

-        .apps {
-            margin: 0 32px;
-            background: whitesmoke;
-            color: black;
-            padding: 12px;
-            cursor: pointer;
-        }

-        .apps .content {
-            display: flex;
-            flex-wrap: wrap;
-        }
-
-
-        .apps .card {
-            width: 200px;
-            margin: 12px;
-            display: flex;
-            flex-direction: row;
-            background: #f8f8f8;
-            cursor: pointer;
-            user-select: none;
-        }
-
-        .apps .selected {
-            box-shadow: 0px 0px 10px 10px #fbe9f0
-        }
-
-        .apps .card:hover {
-            box-shadow: 0px 0px 10px 10px #e9fbfa
-        }
-
-        .apps .card h5 {
-            font-size: 14px;
-            margin: 10px 0;
-        }
-
-        .apps .card p {
-            margin: 0;
-            padding: 0;
-        }
-
-        .apps .card img {
-            width: auto;
-            height: 100%;
-
-            margin: 0px;
-        }
-
-        .apps .card .item {
-            display: flex;
-            flex-direction: column;
-            justify-content: space-between;
-            align-items: flex-start;
-        }
-
-        .apps .card .icon {
-            width: 120px;
-            height: 120px;
-            overflow: hidden;
-            background: #e3e3e3;
-            display: flex;
-            justify-content: center;
-            align-items: center;
-        }
-
-
-        .apps .card .version {
-            font-size: 12px;
-
-        }

        .status {
            background: black;
@@ -112,24 +42,17 @@
            display: flex;
            flex-direction: column;
            min-width: 400px;
-            /* background: #eee; */
+            background: #eee;
            margin: 24px;
            flex: 1;
            align-items: center;
            /* justify-content: center; */
        }

-        .panel .header {
-            margin-bottom: 8px;
-            display: flex;
-            justify-content: center;
-            align-items: center;
-
-        }
-
        .panel h1 {
            padding: 0 12px;
-            margin: 0;
+            margin-top: 12px;
+            margin-bottom: 0;
        }

        .panel img,
@@ -143,21 +66,15 @@
        .input_card {
            display: flex;
            flex-direction: column;
-            width: 100%;
-        }
-
-        .output {
-            width: 90%;
-            margin: 12px;
        }

        .output_card {
            height: 100%;
            width: 100%;
-            
-            margin-top: 24px;
+            box-shadow: 0px 0px 8px 3px #e6e7e7;
+
            display: flex;
-            flex-wrap: wrap;
+
            /* justify-content: center;
            align-items: center; */

@@ -167,9 +84,6 @@
        video {
            max-width: 400px;
            max-height: 600px;
-            margin: 8px;
-            min-width: 200px;
-            box-shadow: 0px 0px 20px 7px #e6e7e7;
        }

        .card {
@@ -211,7 +125,7 @@
            border: 3px solid;
        }

-        button:hover {
+        .run_btn:hover {
            border-color: yellow;
            color: yellow;
        }
@@ -224,28 +138,28 @@
        .upload_btn {
            width: 188px;
            cursor: pointer;
-            /* height: 188px; */
-            /* background: black; */
+            height: 188px;
+            background: black;
            color: white;
            display: flex;
            justify-content: center;
            align-items: center;
            text-align: center;
            font-size: 14px;
-            color: black;
+            margin-left: calc(50% - 94px);
+            margin-top: calc(30vh - 94px);
        }

-        /* .upload_btn:hover {
+        .upload_btn:hover {
            outline: 4px solid yellow;
            color: yellow;
-        } */
+        }

        .show_text {
            font-size: 14px;
            /* display: inline-block; */
-            margin: 8px;
+            /* margin: 13px; */
            padding: 32px;
-            min-width: 200px;
            background: #242424;
            color: white;
        }
@@ -256,39 +170,15 @@
            font-size: 12px;
            font-weight: 300;
        }
-
-        label::after {
-            content: attr(data-content);
-            /* Set the initial content using the data-content attribute */
-            /* position: absolute; */
-            /* top: 100%;
-            left: 0; */
-            margin-left: 4px;
-            font-size: 12px;
-            color: #555;
-        }
-
-        select,
-        button,
-        input {
-            height: 32px;
-            cursor: pointer;
-            background: #000000bf;
-            color: white;
-            outline: none;
-            border: none;
-            border-radius: 4px;
-        }
    </style>
    <!-- <script src="../../../scripts/api.js" type="module"></script> -->
 </head>

 <body>
-    <div style="margin: 0 24px;
-    margin-bottom: 24px;
-    padding: 8px;
-    color: #4a4a4a;
-    border-bottom: 1px dashed #595959;">Explore your creative potential with <a class="link"
+    <div style="margin: 24px;
+    background: #eee;
+    padding: 24px;
+    color: #4a4a4a;">Explore your creative potential with <a class="link"
            href="https://github.com/shadowcz007/comfyui-mixlab-nodes" target="_blank">mixlab-nodes</a> / 尽情发挥你的创意
        <br>
        <a class="link" href="https://www.mixcomfy.com" target="_blank">ComfyUI中文爱好者社区推荐</a>
@@ -368,104 +258,46 @@
                });
        }

-
-        function success(isSuccess, btn, text) {
-            isSuccess ? btn.innerText = 'success' : text;
-            setTimeout(() => {
-                btn.innerText = text;
-            }, 5000)
-        }
-
-        async function get_my_app(filename = null) {
+        async function get_my_app() {

            let url = get_url()

            const res = await fetch(`${url}/mixlab/workflow`, {
                method: 'POST',
                body: JSON.stringify({
-                    task: 'my_app',
-                    filename
+                    task: 'my_app'
                })
            })
            let result = await res.json();
-            let data = [];
-            try {
-                for (const res of result.data) {
-                    let { output, app } = res.data;
-                    if (app.filename) data.push({
-                        ...app,
-                        data: output,
-                        date: res.date
-                    })
-                }
-            } catch (error) {

+            let { output, app } = result.data
+
+            return {
+                ...app,
+                data: output
            }
-
-
-            return data
        }


        function createOutputs(outputData) {
-            const container = document.createElement('div');
-            container.className = "output";
-
-            const action = document.createElement('div');
-            container.appendChild(action)
-
-            const copyHTML = document.createElement('button');
-            copyHTML.innerText = 'copy as html'
-            action.appendChild(copyHTML)
-
-            const copyImage = document.createElement('button');
-            copyImage.innerText = 'copy image'
-            action.appendChild(copyImage)
-            copyImage.style.marginLeft = '18px';
-
-            const copyText = document.createElement('button');
-            copyText.innerText = 'copy text for share'
-            action.appendChild(copyText)
-            copyText.style.marginLeft = '18px';
-
-            const output_card = document.createElement("div");
-            output_card.className = 'output_card'
-            container.appendChild(output_card)
-
-
-
-            copyText.addEventListener('click', e => {
-                e.preventDefault();
-                copyTextToClipboard((window._appData.share_prefix || '') + " " + output_card.outerHTML, (r) => success(r, copyText, 'copy text for share'))
-
-            })
-
-            copyImage.addEventListener('click', e => {
-                e.preventDefault();
-                // copyHtmlWithImagesToClipboard(output_card.outerHTML)
-                copyImagesToClipboard(output_card.outerHTML, (r) => success(r, copyImage, 'copy image'))
-                // copyTextToClipboard()
-            })
-            copyHTML.addEventListener('click', e => {
-                e.preventDefault();
-                copyHtmlWithImagesToClipboard((window._appData.share_prefix || '') + " " + output_card.outerHTML, (r) => success(r, copyHTML, 'copy as html'))
-                // copyImagesToClipboard(output_card.outerHTML)
-            })
+            // Array.from( window._appData.output,n=>n.id)
+            const container = document.createElement("div");
+            container.className = 'output_card'

            for (const node of outputData) {
-                // console.log('output', node)
+                console.log('output', node)
                if (node.class_type == "ShowTextForGPT") {
                    let div = document.createElement('div');
                    div.className = "show_text"
                    div.id = `output_${node.id}`;
-                    div.innerText = Array.isArray(node.inputs.text) ? node.inputs.text[0] : node.inputs.text
-                    output_card.appendChild(div);
+                    div.innerText = node.inputs.text[0]
+                    container.appendChild(div);
                };
                if (["SaveImage", "PreviewImage"].includes(node.class_type)) {
                    let img = new Image();
                    img.id = `output_${node.id}`;
                    img.src = base64Df;
-                    output_card.appendChild(img);
+                    container.appendChild(img);
                }

                // video ,gif
@@ -481,7 +313,7 @@

                    v.appendChild(video);
                    v.appendChild(img);
-                    output_card.appendChild(v);
+                    container.appendChild(v);
                }

            }
@@ -530,134 +362,6 @@
            }
        }

-
-        function copyHtmlWithImagesToClipboard(data, cb) {
-            // 创建一个临时div元素
-            const tempDiv = document.createElement('div');
-
-            // 将HTML字符串赋值给div的innerHTML属性
-            tempDiv.innerHTML = data;
-
-            // 获取div中的所有图像元素
-            const images = tempDiv.getElementsByTagName('img');
-
-            // 遍历图像元素，并将图像数据转换为Base64编码
-            for (let i = 0; i < images.length; i++) {
-                const image = images[i];
-                const canvas = document.createElement('canvas');
-                const context = canvas.getContext('2d');
-
-                // 设置canvas尺寸与图像尺寸相同
-                canvas.width = image.width;
-                canvas.height = image.height;
-
-                // 在canvas上绘制图像
-                context.drawImage(image, 0, 0);
-
-                // 将canvas转换为Base64编码
-                const imageData = canvas.toDataURL();
-
-                // 将Base64编码替换图像元素的src属性
-                image.src = imageData;
-            }
-
-
-            let richText = tempDiv.innerHTML;
-
-            // 创建一个新的Blob对象，并将富文本字符串作为数据传递进去
-            const blob = new Blob([richText], { type: 'text/html' });
-
-            // 创建一个ClipboardItem对象，并将Blob对象添加到其中
-            const clipboardItem = new ClipboardItem({ 'text/html': blob });
-
-            // 使用Clipboard API将内容复制到剪贴板
-            navigator.clipboard.write([clipboardItem])
-                .then(() => {
-                    console.log('富文本已成功复制到剪贴板');
-                    tempDiv.remove()
-                    if (cb) cb(true)
-                })
-                .catch((error) => {
-                    console.error('复制到剪贴板失败:', error);
-                    tempDiv.remove()
-                    if (cb) cb(false)
-                });
-
-        }
-
-        // const htmlWithImages = "<p>这是要复制的HTML内容</p><img src='data:image/png;base64,iVBORw0KG...'>"
-        // copyHtmlWithImagesToClipboard(htmlWithImages);
-
-        function copyImagesToClipboard(html, cb) {
-            const tempDiv = document.createElement('div');
-            tempDiv.innerHTML = html;
-            const images = tempDiv.querySelectorAll('img');
-            const promises = Array.from(images).map((image) => {
-                return new Promise((resolve) => {
-                    const img = new Image();
-                    img.src = image.src;
-                    img.onload = () => {
-                        const canvas = document.createElement('canvas');
-                        const context = canvas.getContext('2d');
-                        canvas.width = img.width;
-                        canvas.height = img.height;
-                        context.drawImage(img, 0, 0);
-                        canvas.toBlob((blob) => {
-                            const clipboardItem = new ClipboardItem({ 'image/png': blob });
-                            navigator.clipboard.write([clipboardItem])
-                                .then(() => {
-                                    resolve();
-                                    tempDiv.remove()
-                                    if (cb) cb(true)
-                                })
-                                .catch((error) => {
-                                    reject(error);
-                                    tempDiv.remove()
-                                    if (cb) cb(false)
-                                });
-                        });
-                    };
-                });
-            });
-            Promise.all([...promises])
-                .then(() => {
-                    console.log('所有图片已成功复制到剪贴板');
-                    if (cb) cb(true)
-                    tempDiv.remove()
-                })
-                .catch((error) => {
-                    console.error('复制到剪贴板失败:', error);
-                    if (cb) cb(false)
-                    tempDiv.remove()
-                });
-        }
-
-        function copyTextToClipboard(html, cb) {
-            const tempDiv = document.createElement('div');
-            tempDiv.innerHTML = html;
-
-            const text = tempDiv.innerText;
-            const textData = new ClipboardItem({ 'text/plain': new Blob([text], { type: 'text/plain' }) });
-
-            navigator.clipboard.write([textData])
-                .then(() => {
-                    console.log('所有文本已成功复制到剪贴板', text);
-                    if (cb) cb(true)
-                    tempDiv.remove()
-                })
-                .catch((error) => {
-                    console.error('复制到剪贴板失败:', error);
-                    if (cb) cb(false)
-                    tempDiv.remove()
-                });
-        }
-
-
-        // const htmlString = "<p>这是要复制的HTML内容</p><img src='url'><img src='url'>";
-        // copyImagesToClipboard(htmlString);
-
-
-
        function createInputs(inputData) {
            // Assuming you have an HTML element with the id "container" to hold the UI
            const container = document.createElement("div");
@@ -689,7 +393,6 @@
                    // Create a label for the upload control
                    const nameLabel = document.createElement("label");
                    nameLabel.textContent = data.title || "LoadImage: ";
-                    nameLabel.style.marginBottom = '12px'
                    uploadContainer.appendChild(nameLabel);

                    let actionDiv = document.createElement('div');
@@ -705,7 +408,9 @@
                    actionDiv.appendChild(uploadImageInputHide);

                    const btnFromClipboard = document.createElement("button");
-                    btnFromClipboard.style = `width: 156px; margin-left: 18px;`
+                    btnFromClipboard.style = `width: 156px;
+                    height: 24px;
+                    margin-left: 18px;`
                    btnFromClipboard.innerText = 'paste from clipboard'
                    actionDiv.appendChild(btnFromClipboard);

@@ -764,14 +469,9 @@

                if (['FloatSlider', 'IntNumber'].includes(data.class_type)) {
                    // 滑块输入
-                    let silde = createNumSlide(data.title,
-                        data.inputs.number,
-                        (v) => {
-                            window._appData.data[data.id].inputs.number = v;
-                        },
-                        0,
-                        data.class_type === 'IntNumber' ? 6000 : 1,
-                        data.class_type === 'IntNumber' ? 'int' : 'float')
+                    let silde = createFloatSlide(data.title, data.inputs.number, (v) => {
+                        window._appData.data[data.id].inputs.number = v;
+                    })
                    container.appendChild(silde);
                }

@@ -837,20 +537,19 @@
            return container
        }

-        function createNumSlide(labelText, value = 0, callback, minValue = 0, maxValue = 1, type = 'float') {
+        function createFloatSlide(labelText, value = 0, callback, minValue = 0, maxValue = 1) {

            // 创建滑块输入元素
            var slider = document.createElement("input");
            slider.type = "range";
            slider.min = minValue;
            slider.max = maxValue;
-            slider.step = type == 'float' ? 0.01 : 1
+            slider.step = 0.01
            slider.value = value;

            // 创建标签元素
            var label = document.createElement("label");
            label.innerHTML = labelText;
-            label.setAttribute('data-content', value);

            // 创建容器元素，并将滑块输入和标签添加到容器中
            var container = document.createElement("div");
@@ -859,11 +558,9 @@
            container.className = 'card'

            // 添加change事件监听器
-            slider.addEventListener("input", function (event) {
+            slider.addEventListener("change", function (event) {
                var value = event.target.value;
-                value = type == 'float' ? value : Math.round(value)
                console.log("滑块输入的值为：" + value);
-                label.setAttribute('data-content', value);
                // 在这里可以执行其他操作，根据需要进行相应的处理
                callback && callback(value)
            });
@@ -902,21 +599,21 @@
            return [div, selectElement];
        }

-        function getFilenameFromUrl(url) {
+        function getTypeFromUrl(url) {
            const queryString = url.split('?')[1];
            if (!queryString) {
                return null;
            }

            const params = new URLSearchParams(queryString);
-            const filename = decodeURIComponent(params.get('filename'));
+            const type = params.get('type');

-            return filename;
+            return type;
        }



-        function createUI(inputData, outputData, share = true) {
+        function createUI(inputData, outputData) {

            let mainDiv = document.createElement('div');
            let leftDiv = document.createElement('div');
@@ -934,26 +631,8 @@
            // top: 12px;flex:0.6`

            // 创建标题
-            let titleDiv = document.createElement('div');
-            titleDiv.className = 'header'
-
            var title = document.createElement('h1');
            title.textContent = 'My Application';
-            titleDiv.appendChild(title);
-
-            if (share) {
-                const shareBtn = document.createElement('button');
-                shareBtn.innerText = 'copy url';
-                shareBtn.addEventListener('click', e => {
-                    e.preventDefault();
-                    let url = `${get_url()}/mixlab/app?filename=${encodeURIComponent(window._appData.filename)}`;
-                    copyTextToClipboard(url, success(e, shareBtn, 'copy url'));
-                })
-
-                titleDiv.appendChild(shareBtn);
-            }
-
-

            let iconDes = document.createElement('div');
            // 创建应用图标
@@ -984,7 +663,7 @@
            submitButton.className = 'run_btn'

            // 将所有UI元素添加到页面中
-            leftDiv.appendChild(titleDiv);
+            leftDiv.appendChild(title);
            leftDiv.appendChild(iconDes);
            // leftDiv.appendChild(des);
            leftDiv.appendChild(status);
@@ -1071,16 +750,16 @@

                        });
                    }
-                },
+                }
            };
        }

-        function createUploadJson(detail) {
+        function createUploadJson() {

            // 创建一个div元素
            var div = document.createElement('div');
-            div.className = 'upload_btn card'
-            div.textContent = '上传并运行你的JSON文件';
+            div.className = 'upload_btn'
+            div.textContent = '点击上传JSON文件';
            div.addEventListener('click', function () {
                document.getElementById('jsonFileInput').click();
            });
@@ -1096,11 +775,10 @@
                reader.onload = function (e) {
                    var contents = e.target.result;
                    var jsonData = JSON.parse(contents);
-
-
-                    Array.from(detail.querySelectorAll('.card'), c => c.classList.remove('selected'));
-                    div.className = 'upload_btn card selected'
-
+                    setTimeout(() => {
+                        div.remove();
+                        input.remove();
+                    }, 500);

                    let { output, app } = jsonData;

@@ -1108,8 +786,8 @@
                        ...app,
                        data: output
                    };
-                    if (document.body.querySelector('.app')) document.body.querySelector('.app').remove()
-                    createApp(window._appData, false);
+
+                    createApp(window._appData);

                    // res(jsonData);
                };
@@ -1117,16 +795,16 @@
            });

            // 将div和input元素添加到body中
-            // document.body.appendChild(div);
+            document.body.appendChild(div);
            document.body.appendChild(input);
-            return div
+
+
        }


-        async function createApp(appData, share = true) {
-            console.log(appData)
+        async function createApp(appData) {
            // 使用示例：
-            var ui = createUI(appData.input, appData.output, share);
+            var ui = createUI(appData.input, appData.output);

            // 更新标题
            ui.title.update(appData.name || 'Mixlab APP');
@@ -1181,8 +859,8 @@
                    // if (!images) return; 
                    const src = `${get_url()}/view?filename=${encodeURIComponent(images[0].filename)}&type=${images[0].type}&subfolder=${encodeURIComponent(images[0].subfolder)}&t=${+new Date()}`;
                    show(src, detail.node, 'image');
-                } else if (text) {
-                    ui.output.update("text", Array.isArray(text) ? text[0] : text, detail.node)
+                } else if (text && text[0]) {
+                    ui.output.update("text", text[0], detail.node)
                } else if (gifs && gifs[0]) {
                    // if (!images) return; 
                    const src = `${get_url()}/view?filename=${encodeURIComponent(gifs[0].filename)}&type=${gifs[0].type}&subfolder=${encodeURIComponent(gifs[0].subfolder)
@@ -1208,72 +886,24 @@

            api.api_base = ""
            api.init();
-
        }

-        // 创建app的选择菜单
-        function createAppList(apps = []) {
-            let details = document.createElement('details');
-            details.className = 'apps';
-
-            details.innerHTML = `<summary>ComfyUI APP Store / ${apps.length}</summary>
-                <div class="content"> </div>`
-
-            let div = details.querySelector('div');
-
-            for (let index = 0; index < apps.length; index++) {
-                const app = apps[index];
-                let d = document.createDocumentFragment();
-                let dd = document.createElement('div');
-                d.appendChild(dd);
-                dd.className = 'card' + (index == 0 ? ' selected' : '')
-                dd.innerHTML = ` 
-                        <div class="item icon">
-                            <img src="${app.icon || base64Df}"/>
-                        </div>
-                        <div class="item" style="margin-left: 24px;">
-                            <div>
-                                <h5>${app.name}</h5>
-                                <p>${app.description}</p>
-                            </div>
-                            <div >
-                                <p class="version">version: ${app.version}</p>
-                                
-                            </div>
-                        </div>
-                      `
-
-                div.appendChild(d);
-                dd.addEventListener('click', async e => {
-                    e.preventDefault();
-                    Array.from(div.querySelectorAll('.card'), c => c.classList.remove('selected'));
-                    dd.className = 'card selected'
-                    // console.log(app.filename)
-
-                    window._appData = (await get_my_app(app.filename))[0];
-                    if (document.body.querySelector('.app')) document.body.querySelector('.app').remove()
-                    createApp(window._appData);
-
-                })
-                // console.log(div)
-            };
-
-            let uploadApp = createUploadJson(details);
-            div.appendChild(uploadApp);
-
-            document.body.appendChild(details);
-        }

        async function init_app() {

-            const filename = getFilenameFromUrl(location.href);
-            window._apps = await get_my_app(filename);
+            let appData = {}

-            window._appData = window._apps[0];
+            const type = getTypeFromUrl(location.href);
+            if (type === 'new') {
+                createUploadJson();
+            } else {
+                appData = await get_my_app();
+                // console.log(appData)
+                window._appData = appData;

-            createAppList(window._apps);
+                createApp(appData);
+            }

-            createApp(window._appData);

        };

@@ -81,9 +81,8 @@ function extractInputAndOutputData (jsonData, inputIds = [], outputIds = []) {
          if (node.type === 'CheckpointLoaderSimple') {
            options = node.widgets.filter(w => w.name === 'ckpt_name')[0]
              .options.values
-          } else if (node.type === 'LoraLoader') {
-            options = node.widgets.filter(w => w.name === 'lora_name')[0]
-              .options.values
+          }else if(node.type === 'LoraLoader'){
+            options =node.widgets.filter(w=>w.name==='lora_name')[0].options.values
          }
        } catch (error) {}

@@ -120,8 +119,7 @@ async function save_app (json) {
    method: 'POST',
    body: JSON.stringify({
      data: json,
-      task: 'save_app',
-      filename: json.app.filename
+      task: 'save_app'
    })
  })
  return await res.json()
@@ -146,7 +144,6 @@ function downloadJsonFile (jsonData, fileName = 'mix_app.json') {
 async function save (json, download = false) {
  const name = json[0],
    version = json[5],
-    share_prefix = json[6], //用于分享的功能扩展
    description = json[4],
    inputIds = json[2].split('\n').filter(f => f),
    outputIds = json[3].split('\n').filter(f => f)
@@ -173,9 +170,7 @@ async function save (json, download = false) {
      description,
      version,
      input,
-      output,
-      share_prefix,
-      filename: `${name}_${version}_${new Date().toDateString()}.json`
+      output
    }

    try {
@@ -185,15 +180,14 @@ async function save (json, download = false) {
    // let http_workflow = app.graph.serialize()

    if (download) {
-       await save_app(data)
-       await downloadJsonFile(data, data.app.filename)
-      let open = window.confirm(
-        `You can now access the standalone application on a new page!\n${getUrl()}/mixlab/app?filename=${encodeURIComponent(data.app.filename)}`
+      await downloadJsonFile(
+        data,
+        `${data.app.name}_${data.app.version}_${new Date().toDateString()}.json`
      )
-      if (open)
-        window.open(
-          `${getUrl()}/mixlab/app?filename=${encodeURIComponent(data.app.filename)}`
-        )
+      let open = window.confirm(
+        `You can now access the standalone application on a new page!\n${getUrl()}/mixlab/app?type=new`
+      )
+      if (open) window.open(`${getUrl()}/mixlab/app?type=new`)
    } else {
      await save_app(data)

@@ -214,7 +208,7 @@ app.registerExtension({
      const orig_nodeCreated = nodeType.prototype.onNodeCreated
      nodeType.prototype.onNodeCreated = function () {
        orig_nodeCreated?.apply(this, arguments)
-        console.log('#orig_nodeCreated', this)
+        // console.log(this)
        const widget = {
          type: 'div',
          name: 'AppInfoRun',
@@ -224,7 +218,7 @@ app.registerExtension({
              get_position_style(
                ctx,
                widget_width,
-                node.size[1] - widget_height,
+                node.widgets[4].last_y + 24,
                node.size[1]
              )
            )
@@ -242,7 +236,7 @@ app.registerExtension({
        widget.div = $el('div', {})

        const btn = document.createElement('button')
-        btn.innerText = 'Save & Open'
+        btn.innerText = 'Save For App'
        btn.style = style

        btn.addEventListener('click', () => {
@@ -252,7 +246,6 @@ app.registerExtension({
          } else {
            alert('Please run the workflow before saving')
            // app.queuePrompt(0, 1)
-            this.widgets.filter(w => w.name === 'version')[0].value += 1
          }
        })

@@ -268,7 +261,6 @@ app.registerExtension({
          } else {
            alert('Please run the workflow before saving')
            // app.queuePrompt(0, 1)
-            this.widgets.filter(w => w.name === 'version')[0].value += 1
          }
        })

@@ -290,7 +282,7 @@ app.registerExtension({
      const onExecuted = nodeType.prototype.onExecuted
      nodeType.prototype.onExecuted = async function (message) {
        onExecuted?.apply(this, arguments)
-        console.log(message.json)
+        // console.log(this.widgets)

        window._mixlab_app_json = message.json
        try {
@@ -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 = 'v0.8.0'
+const version = 'v0.6.0'

 fetch(`https://api.github.com/repos/${repoOwner}/${repoName}/releases/latest`)
  .then(response => response.json())
@@ -0,0 +1,110 @@
+import { app } from '../../../scripts/app.js'
+import { $el } from '../../../scripts/ui.js'
+import { api } from '../../../scripts/api.js'
+
+function get_position_style (ctx, widget_width, y, node_height) {
+  const MARGIN = 12 // the margin around the html element
+
+  /* Create a transform that deals with all the scrolling and zooming */
+  const elRect = ctx.canvas.getBoundingClientRect()
+  const transform = new DOMMatrix()
+    .scaleSelf(
+      elRect.width / ctx.canvas.width,
+      elRect.height / ctx.canvas.height
+    )
+    .multiplySelf(ctx.getTransform())
+    .translateSelf(MARGIN, MARGIN + y)
+
+  return {
+    transformOrigin: '0 0',
+    transform: transform,
+    left: `0`,
+    top: `0`,
+    cursor: 'pointer',
+    position: 'absolute',
+    maxWidth: `${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: 'row',
+    // alignItems: 'center',
+    justifyContent: 'flex-start'
+  }
+}
+
+app.registerExtension({
+  name: 'Mixlab.share.ShareToWeibo',
+  async beforeRegisterNodeDef (nodeType, nodeData, app) {
+    if (nodeType.comfyClass == 'ShareToWeibo') {
+      const orig_nodeCreated = nodeType.prototype.onNodeCreated
+      nodeType.prototype.onNodeCreated = function () {
+        orig_nodeCreated?.apply(this, arguments)
+        // console.log(this)
+        const widget = {
+          type: 'div',
+          name: 'ShareToWeiboBtn',
+          draw (ctx, node, widget_width, y, widget_height) {
+            Object.assign(
+              this.div.style,
+              get_position_style(
+                ctx,
+                widget_width,
+                node.widgets[2].last_y +16,
+                node.size[1]
+              )
+            )
+          }
+        }
+
+        const style = `
+        flex-direction: row;
+        background-color: var(--comfy-input-bg);
+        border-radius: 8px;
+        border-color: var(--border-color);
+        border-style: solid;
+        color: var(--descrip-text);`
+
+        widget.div = $el('div', {})
+
+        const btn = document.createElement('button')
+        btn.innerText = 'Share'
+        btn.style = style
+
+        btn.addEventListener('click', () => {
+          if (window._mixlab_share_to_weibo)
+            window.open(window._mixlab_share_to_weibo)
+        })
+
+        document.body.appendChild(widget.div)
+        widget.div.appendChild(btn)
+
+        this.addCustomWidget(widget)
+
+        const onRemoved = this.onRemoved
+        this.onRemoved = () => {
+          widget.div.remove()
+          return onRemoved?.()
+        }
+
+        this.serialize_widgets = true //需要保存参数
+      }
+
+      const onExecuted = nodeType.prototype.onExecuted
+      nodeType.prototype.onExecuted = async function (message) {
+        onExecuted?.apply(this, arguments)
+        // console.log(this.widgets)
+
+        window._mixlab_share_to_weibo = message.url
+        try {
+          const div = this.widgets.filter(w => w.div)[0].div
+          Array.from(
+            div.querySelectorAll('button'),
+            b => (b.style.background = 'yellow')
+          )
+        } catch (error) {}
+      }
+    }
+  }
+})
@@ -4,7 +4,6 @@ import { ComfyWidgets } from '../../../scripts/widgets.js'
 import { $el } from '../../../scripts/ui.js'
 import { closeIcon } from './svg_icons.js'

-
 import {
  GroupNodeConfig,
  GroupNodeHandler
@@ -668,23 +667,10 @@ app.registerExtension({
        ...options
      ] // and return the options
    }
-    LGraphCanvas.prototype.centerOnNode = function(node) {
-      var dpr = window.devicePixelRatio || 1;  // 获取设备像素比
-      this.ds.offset[0] =
-          -node.pos[0] -
-          node.size[0] * 0.5 +
-          (this.canvas.width * 0.5) / (this.ds.scale * dpr);  // 考虑设备像素比
-      this.ds.offset[1] =
-          -node.pos[1] -
-          node.size[1] * 0.5 +
-          (this.canvas.height * 0.5) / (this.ds.scale * dpr);  // 考虑设备像素比
-      this.setDirty(true, true);
-    };
  },
  async setup () {
    // Add canvas menu options
    const orig = LGraphCanvas.prototype.getCanvasMenuOptions
-
    LGraphCanvas.prototype.getCanvasMenuOptions = function () {
      const options = orig.apply(this, arguments)

@@ -728,7 +714,7 @@ app.registerExtension({
          let textB = document.createElement('p')
          btn.appendChild(textB)
          btn.appendChild(btnB)
-          textB.style.fontSize = '12px'
+          textB.style.fontSize='12px';
          textB.innerText = `Locate and navigate nodes ♾️Mixlab`

          btnB.style = `float: right; border: none; color: var(--input-text);
@@ -804,12 +790,11 @@ app.registerExtension({
          for (let nodeId in nodes) {
            let n = nodes[nodeId].class_type
            if (nodesMap[n]) {
-              const { url, title: _title } = nodesMap[n]
-              let title = app.graph.getNodeById(nodeId).title || _title
+              const { url, title } = nodesMap[n]
              let d = document.createElement('button')
              d.style = `text-align: left;margin:6px;color: var(--input-text);
                background-color: var(--comfy-input-bg); border-color: var(--border-color);cursor: pointer;`
-                d.addEventListener('click', () => {
+              d.addEventListener('click', () => {
                const node = app.graph.getNodeById(nodeId)
                if (!node) return
                app.canvas.centerOnNode(node)
@@ -825,10 +810,10 @@ app.registerExtension({
              })

              d.innerHTML = `
-                <span>${'#' + nodeId} ${title}</span>
+                <span>${'#' + nodeId} ${n}</span>
                <a href="${url}" target="_blank" style="text-decoration: none;">🔗</a>
                `
-              d.title = n
+              d.title = title

              nodesDiv.appendChild(d)
            }
@@ -2,7 +2,7 @@ import { app } from '../../../scripts/app.js'
 import { api } from '../../../scripts/api.js'
 import { ComfyWidgets } from '../../../scripts/widgets.js'
 import { $el } from '../../../scripts/ui.js'
-import { addValueControlWidget } from '../../../scripts/widgets.js'
+import { addValueControlWidget } from "../../../scripts/widgets.js";

 const getLocalData = key => {
  let data = {}
@@ -45,21 +45,6 @@ function get_position_style (ctx, widget_width, y, node_height) {
  }
 }

-function hexToRGBA (hexColor) {
-  var hex = hexColor.replace('#', '')
-  var r = parseInt(hex.substring(0, 2), 16)
-  var g = parseInt(hex.substring(2, 4), 16)
-  var b = parseInt(hex.substring(4, 6), 16)
-
-  // 获取透明度的十六进制值
-  var alphaHex = hex.substring(6)
-
-  // 将透明度的十六进制值转换为十进制值
-  var alpha = parseInt(alphaHex, 16) / 255
-
-  return [r,g,b,alpha]
-}
-
 app.registerExtension({
  name: 'Mixlab.utils.Color',
  async getCustomWidgets (app) {
@@ -75,16 +60,8 @@ app.registerExtension({
            return [128, 32] // a method to compute the current size of the widget
          },
          async serializeValue (nodeId, widgetIndex) {
-            let data = getLocalData('_mixlab_utils_color');
-            let hex=data[node.id] || '#000000'
-            let [r,g,b,a]=hexToRGBA(hex)
-            return {
-              hex,
-              r,
-              g,
-              b,
-              a
-            }
+            let data = getLocalData('_mixlab_utils_color')
+            return data[node.id] || '#000000'
          }
        }
        //  widget.something = something;          // maybe adds stuff to it
@@ -132,7 +109,7 @@ app.registerExtension({
          ip.style = `outline: none;
            border: none;
            padding: 4px;
-            width: 70%;cursor: pointer;
+            width: 100%;cursor: pointer;
            height: 32px;`
          const label = document.createElement('label')
          label.style = 'font-size: 10px;min-width:32px'
@@ -187,17 +164,16 @@ app.registerExtension({

  async beforeRegisterNodeDef (nodeType, nodeData, app) {
    if (nodeType.comfyClass == 'TextToNumber') {
+
      const onExecuted = nodeType.prototype.onExecuted
      nodeType.prototype.onExecuted = function (message) {
        onExecuted?.apply(this, arguments)
-        const random_number = this.widgets.filter(
-          w => w.name === 'random_number'
-        )[0]
-        if (random_number.value === 'enable') {
-          const n = this.widgets.filter(w => w.name === 'number')[0]
-          n.value = message.num[0]
+        const random_number=this.widgets.filter(w=>w.name==='random_number')[0]
+        if(random_number.value==='enable'){
+          const n=this.widgets.filter(w=>w.name==='number')[0]
+          n.value=message.num[0]
        }
-
+        
        console.log('TextToNumber', random_number.value)
      }
    }
@@ -1,717 +0,0 @@
-{
-  "last_node_id": 25,
-  "last_link_id": 32,
-  "nodes": [
-    {
-      "id": 5,
-      "type": "CLIPTextEncode",
-      "pos": [
-        1029,
-        -2149
-      ],
-      "size": {
-        "0": 425.27801513671875,
-        "1": 180.6060791015625
-      },
-      "flags": {},
-      "order": 7,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "clip",
-          "type": "CLIP",
-          "link": 6
-        }
-      ],
-      "outputs": [
-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [
-            3
-          ],
-          "slot_index": 0
-        }
-      ],
-      "title": "负向prompt",
-      "properties": {
-        "Node name for S&R": "CLIPTextEncode"
-      },
-      "widgets_values": [
-        "text, watermark"
-      ]
-    },
-    {
-      "id": 6,
-      "type": "VAEDecode",
-      "pos": [
-        1867,
-        -2378
-      ],
-      "size": {
-        "0": 210,
-        "1": 46
-      },
-      "flags": {
-        "collapsed": false
-      },
-      "order": 10,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "samples",
-          "type": "LATENT",
-          "link": 7
-        },
-        {
-          "name": "vae",
-          "type": "VAE",
-          "link": 8
-        }
-      ],
-      "outputs": [
-        {
-          "name": "IMAGE",
-          "type": "IMAGE",
-          "links": [
-            9
-          ],
-          "slot_index": 0
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "VAEDecode"
-      }
-    },
-    {
-      "id": 15,
-      "type": "EnhanceImage",
-      "pos": [
-        2591,
-        -2531
-      ],
-      "size": {
-        "0": 315,
-        "1": 58
-      },
-      "flags": {},
-      "order": 12,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "image",
-          "type": "IMAGE",
-          "link": 25
-        }
-      ],
-      "outputs": [
-        {
-          "name": "IMAGE",
-          "type": "IMAGE",
-          "links": [
-            18
-          ],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "EnhanceImage"
-      },
-      "widgets_values": [
-        1.1
-      ]
-    },
-    {
-      "id": 21,
-      "type": "EmptyLatentImage",
-      "pos": [
-        998,
-        -2674
-      ],
-      "size": [
-        315,
-        106
-      ],
-      "flags": {},
-      "order": 8,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "width",
-          "type": "INT",
-          "link": 30,
-          "widget": {
-            "name": "width"
-          }
-        },
-        {
-          "name": "height",
-          "type": "INT",
-          "link": 32,
-          "widget": {
-            "name": "height"
-          }
-        }
-      ],
-      "outputs": [
-        {
-          "name": "LATENT",
-          "type": "LATENT",
-          "links": [
-            26
-          ],
-          "shape": 3
-        }
-      ],
-      "properties": {
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Author	SHA1	Message	Date
shadowcz007	3191cf2af0	test	2023-12-29 13:27:48 +08:00
shadowcz007	7d3e1ae945	test	2023-12-29 12:59:27 +08:00
shadowcz007	bfced5b4da	test	2023-12-29 12:49:05 +08:00