0.28.3

Update extension-node-map.json

.github/workflows/publish.yml

@@ -0,0 +1,21 @@
+name: Publish to Comfy registry
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+    paths:
+      - "pyproject.toml"
+
+jobs:
+  publish-node:
+    name: Publish Custom Node to registry
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check out code
+        uses: actions/checkout@v4
+      - name: Publish Custom Node
+        uses: Comfy-Org/publish-node-action@main
+        with:
+          ## Add your own personal access token to your Github Repository secrets and reference it here.
+          personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2024 shadow
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -10,7 +10,10 @@ ChatGPT 节点支持 Local LLM（llama.cpp），Phi3、llama3 都可以直接一
 
 - 右键菜单支持 text-to-text，方便对 prompt 词补全
 
-强烈推荐：[Phi-3-mini-4k-instruct-GGUF](https://huggingface.co/lmstudio-community/Phi-3-mini-4k-instruct-GGUF/tree/main)，备选：[llama3_if_ai_sdpromptmkr_q2k](https://hf-mirror.com/impactframes/llama3_if_ai_sdpromptmkr_q2k/tree/main)
+强烈推荐：
+[Phi-3-mini-4k-instruct-function-calling-GGUF](https://huggingface.co/nold/Phi-3-mini-4k-instruct-function-calling-GGUF)
+
+[Phi-3-mini-4k-instruct-GGUF](https://huggingface.co/lmstudio-community/Phi-3-mini-4k-instruct-GGUF/tree/main)，备选：[llama3_if_ai_sdpromptmkr_q2k](https://hf-mirror.com/impactframes/llama3_if_ai_sdpromptmkr_q2k/tree/main)
 
 - 右键菜单支持 image-to-text，使用多模态模型，多模态使用 [llava-phi-3-mini-gguf](https://huggingface.co/xtuner/llava-phi-3-mini-gguf/tree/main)，注意需要把llava-phi-3-mini-mmproj-f16.gguf也下载
 

__init__.py

@@ -8,6 +8,8 @@ import hashlib
 import datetime
 import folder_paths
 import logging
+import base64,io,re
+from PIL import Image
 from comfy.cli_args import args
 python = sys.executable
 
@@ -30,6 +32,8 @@ except:
     print("##nodes.ChatGPT ImportError")
 
 
+from .nodes.RembgNode import get_rembg_models,U2NET_HOME,run_briarmbg,run_rembg
+
 from server import PromptServer
 
 try:
@@ -98,6 +102,26 @@ install_openai()
 current_path = os.path.abspath(os.path.dirname(__file__))
 
 
+def remove_base64_prefix(base64_str):
+  """
+  去除 base64 字符串中的 data:image/*;base64, 前缀
+
+  Args:
+    base64_str: base64 编码的字符串
+
+  Returns:
+    去除前缀后的 base64 字符串
+  """
+
+  # 使用正则表达式匹配常见的前缀
+  pattern = r'^data:image\/(.*);base64,(.+)$'
+  match = re.match(pattern, base64_str)
+  if match:
+    # 如果匹配到常见的前缀，则去除前缀并返回
+    return match.group(2)
+  else:
+    # 如果不匹配到常见的前缀，则直接返回
+    return base64_str
 
 def calculate_md5(string):
     encoded_string = string.encode()
@@ -629,10 +653,53 @@ async def get_checkpoints(request):
             names=get_llama_models()
     except:
         print("llamafile none")
+
+    try:
+        if data['type']=='rembg':
+            names=get_rembg_models(U2NET_HOME)
+    except:
+        print("rembg none")
     
     return web.json_response({"names":names,"types":list(folder_paths.folder_names_and_paths.keys())})
 
 
+@routes.post('/mixlab/rembg')
+async def rembg_hander(request):
+    data = await request.json()
+    model=data['model']
+    result={}
+
+    data_base64=remove_base64_prefix(data['base64'])
+    image_data = base64.b64decode(data_base64)
+    
+    # 创建一个BytesIO对象
+    image_stream = io.BytesIO(image_data)
+
+    # 使用PIL Image模块读取图像
+    image = Image.open(image_stream)
+
+    if model=='briarmbg':
+        _,rgba_images,_=run_briarmbg([image])
+    else:
+        _,rgba_images,_=run_rembg(model,[image])
+
+    with io.BytesIO() as buf:
+        rgba_images[0].save(buf, format='PNG')
+        img_bytes = buf.getvalue()
+    img_base64 = base64.b64encode(img_bytes).decode('utf-8')
+    
+    try: 
+        result={
+            'data':img_base64,
+            'model':model,
+            'status':'success',
+            }
+    except Exception as e:
+            print(e)
+
+    return web.json_response(result)
+
+
 @routes.post("/mixlab/prompt_result")
 async def post_prompt_result(request):
     data = await request.json()
@@ -711,12 +778,14 @@ async def start_local_llm(data):
     
     server_settings=ServerSettings(host=address,port=port)
 
+    name, ext = os.path.splitext(os.path.basename(model))
+    print('#model',name)
     app = create_app(
                 server_settings=server_settings,
                 model_settings=[
                     ModelSettings(
                     model=model,
-                    model_alias=os.path.basename(model),
+                    model_alias=name,
                     n_gpu_layers=n_gpu_layers,
                     n_ctx=4098,
                     chat_format=chat_format,
@@ -750,12 +819,12 @@ async def start_local_llm(data):
 async def my_hander_method(request):
     data =await request.json()
     # print(data)
+    if llama_port and llama_model and llama_chat_format:
+        return web.json_response({"port":llama_port,"model":llama_model,"chat_format":llama_chat_format} )
     try:
         result=await start_local_llm(data)
     except:
-        result={
-            {"port":None,"model":"","llama_cpp_error":True}
-        }
+        result= {"port":None,"model":"","llama_cpp_error":True}
         print('start_local_llm error')
 
     return web.json_response(result)

data/extension-node-map.json

@@ -5201,7 +5201,7 @@
             "title_aux": "ComfyUI Stable Video Diffusion"
         }
     ],
-    "https://github.com/thedyze/save-image-extended-comfyui": [
+    "https://github.com/audioscavenger/save-image-extended-comfyui": [
         [
             "SaveImageExtended"
         ],
@@ -5705,4 +5705,4 @@
             "title_aux": "SDXLCustomAspectRatio"
         }
     ]
-}
+}

nodes/RembgNode.py

@@ -467,15 +467,37 @@ class BriaRMBG(nn.Module):
 
 
 
+def get_U2NET_model_path():
+    try:
+        return folder_paths.get_folder_paths('rembg')[0]
+    except:
+        return os.path.join(folder_paths.models_dir, "rembg")
+    
 
-
-
-U2NET_HOME=os.path.join(folder_paths.models_dir, "rembg")
+U2NET_HOME=get_U2NET_model_path()
 os.environ["U2NET_HOME"] = U2NET_HOME
 
 global _available
 _available=False
 
+
+def get_rembg_models(path):
+    """从目录中获取文件并提取文件名
+    Args:
+        path: 目录路径
+    Returns:
+        文件名列表
+    """
+    filenames = []
+    for root, _, files in os.walk(path):
+        for filename in files:
+        # 过滤隐藏文件
+            if not filename.startswith('.'):
+                name, ext = os.path.splitext(os.path.basename(filename))
+                filenames.append(name)
+    return filenames
+
+
 def is_installed(package):
     try:
         spec = importlib.util.find_spec(package)
@@ -509,8 +531,8 @@ except:
     _available=False
 
 
-def briarmbg_run(images=[]):
-    mroot=os.path.join(folder_paths.models_dir, "rembg")
+def run_briarmbg(images=[]):
+    mroot=U2NET_HOME
     m=os.path.join(mroot,'briarmbg.pth')
     if os.path.exists(m)==False:
         # 下载
@@ -573,14 +595,15 @@ def briarmbg_run(images=[]):
     return (masks,rgba_images,rgb_images)   
 
 
-def run_bg(model_name= "unet",images=[]):
+def run_rembg(model_name= "unet",images=[],callback=None):
     # model_name = "unet" # "isnet-general-use"
+    # print('#run_rembg',model_name)
     rembg_session = new_session(model_name)
     masks=[]
     rgba_images=[]
     rgb_images=[]
     # 进度条
-    pbar = comfy.utils.ProgressBar(len(images) )
+    pbar=callback 
     for img in images:
         # use the post_process_mask argument to post process the mask to get better results.
         mask = remove(img, session=rembg_session,only_mask=True,post_process_mask=True)
@@ -620,8 +643,9 @@ def run_bg(model_name= "unet",images=[]):
             rgb_image = Image.new("RGB", image_rgba.size, (0, 0, 0))
             rgb_image.paste(image_rgba, mask=image_rgba.split()[3])
             rgb_images.append(rgb_image)
-            
-        pbar.update(1)
+
+        if pbar:
+            pbar.update(1)
     return (masks,rgba_images,rgb_images)
 
 
@@ -643,17 +667,7 @@ class RembgNode_:
     def INPUT_TYPES(s):
         return {"required": {
             "image": ("IMAGE",),
-            "model_name": ([
-                            "briarmbg",
-                            "u2net",
-                            "u2netp",
-                            "u2net_human_seg",
-                            "u2net_cloth_seg",
-                            "silueta",
-                            "isnet-general-use",
-                            "isnet-anime",
-                            
-                            ],),
+            "model_name": (get_rembg_models(U2NET_HOME),),
             
                              },
                 }
@@ -681,9 +695,9 @@ class RembgNode_:
                 images.append(im)
 
         if model_name=='briarmbg':
-            masks,rgba_images,rgb_images=briarmbg_run(images)
+            masks,rgba_images,rgb_images=run_briarmbg(images)
         else:
-            masks,rgba_images,rgb_images=run_bg(model_name,images)
+            masks,rgba_images,rgb_images=run_rembg(model_name,images, comfy.utils.ProgressBar(len(images) ))
 
         masks=[pil2tensor(m) for m in masks]
 

nodes/TripoSR.py

@@ -5,13 +5,20 @@ from PIL import Image
 import numpy as np
 import torch
 
-from folder_paths import get_filename_list, get_full_path, get_save_image_path, get_output_directory,models_dir
+from folder_paths import get_folder_paths, get_full_path, get_save_image_path, get_output_directory,models_dir
 from comfy.model_management import get_torch_device
 from .tsr.system import TSR
 
 import comfy.utils
 
-triposr_model_path=path.join(models_dir,'triposr/model.ckpt')
+
+def get_triposr_model_path():
+    try:
+        return path.join(get_folder_paths('triposr')[0],'model.ckpt')
+    except:
+        return path.join(path.join(models_dir, "triposr"),'model.ckpt')
+    
+triposr_model_path=get_triposr_model_path()
 
 
 # Tensor to PIL

nodes/Utils.py

@@ -284,7 +284,7 @@ class FloatSlider:
                 }
     
     RETURN_TYPES = ("FLOAT",) 
-    RETURN_NAMES = ('weight(0-1)',)
+    RETURN_NAMES = ('FLOAT',)
     FUNCTION = "run"
 
     CATEGORY = "♾️Mixlab/Input"
@@ -297,9 +297,7 @@ class FloatSlider:
             number = min_value
         elif number > max_value:
             number = max_value
-        scaled_number = (number - min_value) / (max_value - min_value)
-        return (scaled_number,)
-    
+        return (number,)    
   
 class IntNumber:
     @classmethod

nodes/Video.py

@@ -87,7 +87,7 @@ def split_video(video_path, video_segment_frames, transition_frames, output_dir)
 
 folder_paths.folder_names_and_paths["video_formats"] = (
     [
-        os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "video_formats"),
+        os.path.join(os.path.dirname(os.path.abspath(__file__)), ".", "video_formats"),
     ],
     [".json"]
 )
@@ -433,6 +433,7 @@ class VideoCombine_Adv:
             ffmpeg_formats = ["video/"+x[:-5] for x in folder_paths.get_filename_list("video_formats")]
         else:
             ffmpeg_formats = []
+        # ffmpeg_formats =["video/"+x for x in  ['webm', 'mp4', 'mkv']]
         return {
             "required": {
                 "image_batch": ("IMAGE",),

nodes/video_formats/av1-webm.json

@@ -0,0 +1,10 @@
+{
+    "main_pass":
+    [
+        "-n", "-c:v", "libsvtav1",
+        "-pix_fmt", "yuv420p10le",
+        "-crf", "23"
+    ],
+     "extension": "webm",
+     "environment": {"SVT_LOG": "1"}
+}

nodes/video_formats/h264-mp4.json

@@ -0,0 +1,9 @@
+{
+    "main_pass":
+    [
+        "-n", "-c:v", "libx264",
+        "-pix_fmt", "yuv420p",
+        "-crf", "19"
+    ],
+     "extension": "mp4"
+}

nodes/video_formats/h265-mp4.json

@@ -0,0 +1,11 @@
+{
+    "main_pass":
+    [
+        "-n", "-c:v", "libx265",
+        "-pix_fmt", "yuv420p10le",
+        "-preset", "medium",
+        "-crf", "22",
+        "-x265-params", "log-level=quiet"
+    ],
+     "extension": "mp4"
+}

nodes/video_formats/webm.json

@@ -0,0 +1,9 @@
+{
+    "main_pass":
+    [
+        "-n",
+        "-pix_fmt", "yuv420p",
+        "-crf", "23"
+    ],
+     "extension": "webm"
+}

pyproject.toml

@@ -0,0 +1,15 @@
+[project]
+name = "comfyui-mixlab-nodes"
+description = "3D, ScreenShareNode & FloatingVideoNode, SpeechRecognition & SpeechSynthesis, GPT, LoadImagesFromLocal, Layers, Other Nodes, ..."
+version = "0.28.3"
+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"]
+
+[project.urls]
+Repository = "https://github.com/shadowcz007/comfyui-mixlab-nodes"
+#  Used by Comfy Registry https://comfyregistry.org
+
+[tool.comfy]
+PublisherId = "shadow"
+DisplayName = "comfyui-mixlab-nodes"
+Icon = ""

web/index.html

@@ -24,6 +24,7 @@
             margin-left: 5%;
             user-select: none;
             margin-top: 32px;
+            margin-bottom: 120px;
         }
 
         .apps {
@@ -65,9 +66,9 @@
             box-shadow: 0px 0px 10px 10px #fbe9f0
         }
 
-        .card:hover {
+        /* .card:hover {
             box-shadow: 0px 0px 10px 10px #e9fbfa
-        }
+        } */
 
         .card h5 {
             font-size: 14px;
@@ -145,15 +146,6 @@
             margin-top: 4px;
         }
 
-        .status {
-            background: black;
-            color: white;
-            display: flex;
-            width: fit-content;
-            padding: 4px;
-            font-size: 12px;
-
-        }
 
         .description {
             display: flex;
@@ -247,7 +239,7 @@
 
         .card textarea {
             width: 100%;
-            height:'fit-content';
+            height: 'fit-content';
             /* min-width: 300px; */
             margin-top: 12px;
             resize: none;
@@ -263,18 +255,44 @@
             margin-top: 12px;
         }
 
+        .run_div {
+            position: fixed;
+            bottom: 28px;
+            display: flex;
+            left: 144px;
+            z-index: 100;
+            /* align-items: center; */
+            /* justify-content: space-around; */
+            /* width: calc(50% - 100px); */
+            flex-direction: column;
+            background-color: #f7f7f7;
+            box-shadow: 3px 3px 8px #cacaca;
+            border-radius: 8px;
+        }
+
+        .status {
+            /* background: #e7e7e7; */
+            color: black;
+            display: flex;
+            width: 120px;
+            padding-left: 11px;
+            font-size: 12px;
+            border-radius: 8px;
+            justify-content: flex-start;
+            align-items: center;
+            height: 48px;
+        }
+
         .run_btn {
             background: black;
             color: white;
-            width: 88px;
-            height: 88px;
-            position: fixed;
-            bottom: 72px;
-            left: calc(50% - 44px);
-            border-radius: 100%;
+            /* width: calc(50% - 100px); */
+            min-width: 200px;
+            max-width: 460px;
+            height: 48px;
+            border-radius: 8px;
             cursor: pointer;
             border: 3px solid;
-            z-index: 100;
         }
 
         button:hover {
@@ -434,7 +452,7 @@
             /* 角落颜色 */
         }
 
-/* 
+        /* 
         .dynamic_prompt::after {
             content: attr(title);
             position: absolute;
@@ -452,14 +470,17 @@
     <link href="/extensions/comfyui-mixlab-nodes/lib/photoswipe.min.css" rel="stylesheet">
     <link href="/extensions/comfyui-mixlab-nodes/lib/classic.min.css" rel="stylesheet">
     <script src="/extensions/comfyui-mixlab-nodes/lib/pickr.min.js"></script>
-    <script src="/extensions/comfyui-mixlab-nodes/lib/filerobot-image-editor.min.js"></script>
+    <!-- <script src="/extensions/comfyui-mixlab-nodes/lib/filerobot-image-editor.min.js"></script> -->
     <script type="module" src="/extensions/comfyui-mixlab-nodes/lib/model-viewer.min.js"></script>
     <link rel="stylesheet" href="/extensions/comfyui-mixlab-nodes/lib/login.css">
 </head>
 
 <body>
 
-    <div id="editor_container"></div>
+    <div id="editor_container">
+        <iframe style="width:100%; height:100vh;" id="miniPaint"
+            src="/extensions/comfyui-mixlab-nodes/lib/miniPaint-4.14.2/index.html" allow="camera"></iframe>
+    </div>
     <div class="header">
         <div id="logo" style="margin: 0 24px;
             margin-bottom: 24px;
@@ -471,15 +492,14 @@
             <a class="link" href="https://www.mixcomfy.com" target="_blank">ComfyUI中文爱好者社区推荐</a>
         </div>
 
-        <a target="_blank" id="login_btn" href="https://www.mixcomfy.com/blog/" style="text-decoration: none;
+        <a id="login_btn" target="_blank" href="https://discord.gg/xbP2GZF6gn" style="text-decoration: none;
         color: black;font-size:12px">
             <svg height="32" aria-hidden="true" viewBox="0 0 16 16" version="1.1" width="32" data-view-component="true"
                 class="octicon octicon-mark-github v-align-middle color-fg-default">
                 <path
                     d="M8 0c4.42 0 8 3.58 8 8a8.013 8.013 0 0 1-5.45 7.59c-.4.08-.55-.17-.55-.38 0-.27.01-1.13.01-2.2 0-.75-.25-1.23-.54-1.48 1.78-.2 3.65-.88 3.65-3.95 0-.88-.31-1.59-.82-2.15.08-.2.36-1.02-.08-2.12 0 0-.67-.22-2.2.82-.64-.18-1.32-.27-2-.27-.68 0-1.36.09-2 .27-1.53-1.03-2.2-.82-2.2-.82-.44 1.1-.16 1.92-.08 2.12-.51.56-.82 1.28-.82 2.15 0 3.06 1.86 3.75 3.64 3.95-.23.2-.44.55-.51 1.07-.46.21-1.61.55-2.33-.66-.15-.24-.6-.83-1.23-.82-.67.01-.27.38.01.53.34.19.73.9.82 1.13.16.45.68 1.31 2.69.94 0 .67.01 1.3.01 1.49 0 .21-.15.45-.55.38A7.995 7.995 0 0 1 0 8c0-4.42 3.58-8 8-8Z">
                 </path>
-            </svg> Community</a>
-
+            </svg> HELP/帮助</a>
 
     </div>
     <a id="author"></a>
@@ -557,6 +577,42 @@
 
         };
 
+        async function uploadMask(arrayBuffer, imgurl) {
+            const body = new FormData()
+            const filename = 'clipspace-mask-' + performance.now() + '.png'
+
+            let original_url = new URL(imgurl)
+
+            const original_ref = { filename: original_url.searchParams.get('filename') }
+
+            let original_subfolder = original_url.searchParams.get('subfolder')
+            if (original_subfolder) original_ref.subfolder = original_subfolder
+
+            let original_type = original_url.searchParams.get('type')
+            if (original_type) original_ref.type = original_type
+
+            body.append('image', arrayBuffer, filename)
+            body.append('original_ref', JSON.stringify(original_ref))
+            body.append('type', 'input')
+            body.append('subfolder', 'clipspace')
+
+            const url = get_url()
+
+            const resp = await fetch(`${url}/upload/mask`, {
+                method: 'POST',
+                body
+            })
+
+            // console.log(resp)
+            let data = await resp.json()
+            let { name, subfolder, type } = data
+            let src = `${url}/view?filename=${encodeURIComponent(
+                name
+            )}&type=${type}&subfolder=${subfolder}&rand=${Math.random()}`
+
+            return { url: src, name: 'clipspace/' + name }
+        }
+
 
         const parseImageToBase64 = url => {
             return new Promise((res, rej) => {
@@ -641,125 +697,351 @@
         }
 
 
-        function editImage(img, data) {
+        // 获取 rembg 模型
+        async function get_rembg_models() {
+            try {
+                const response = await fetch(`${get_url()}/mixlab/folder_paths`, {
+                    method: 'POST',
+                    headers: {
+                        'Content-Type': 'application/json'
+                    },
+                    body: JSON.stringify({
+                        type: 'rembg'
+                    })
+                })
 
+                const data = await response.json()
+                // console.log(data)
+                return data.names
+            } catch (error) {
+                console.error(error)
+            }
+        }
 
-            const update = async () => {
-                const { imageData } = filerobotImageEditor.getCurrentImgData()
-                let base64 = imageData.imageBase64;
+        //自动抠图
+        async function run_rembg(model, base64) {
+            try {
+                const response = await fetch(`${get_url()}/mixlab/rembg`, {
+                    method: 'POST',
+                    headers: {
+                        'Content-Type': 'application/json'
+                    },
+                    body: JSON.stringify({
+                        model,
+                        base64
+                    })
+                })
 
-                let fileBlob = base64ToBlob(base64)
-                // // 获取读取的文件内容，即 Blob 对象
-                let hashId = await calculateImageHash(fileBlob)
+                const data = await response.json()
+                // console.log(data)
+                return data.data
+            } catch (error) {
+                console.error(error)
+            }
+        }
 
-                if (hashId == window._appData.data[data.id].hashId) return
+        function convertImageToBlackBasedOnAlpha(image) {
+            const canvas = document.createElement('canvas');
+            const ctx = canvas.getContext('2d');
 
-                let { url, name } = await uploadImage(fileBlob);
-                // 在这里可以对 Blob 对象进行进一步处理
-                // imageElement.src = url;
-                window._appData.data[data.id].inputs.image = name;
-                window._appData.data[data.id].hashId = hashId;
+            // Draw the image onto the canvas
+            canvas.width = image.width;
+            canvas.height = image.height;
+            ctx.drawImage(image, 0, 0);
 
-                console.log("上传的文件：", url, data.id, name);
+            // Get the image data from the canvas
+            const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
+            const pixels = imageData.data;
 
-                img.src = base64;
+            // Modify the RGB values based on the alpha channel
+            for (let i = 0; i < pixels.length; i += 4) {
+                const alpha = pixels[i + 3];
+                if (alpha !== 0) {
+                    // Set non-transparent pixels to black
+                    pixels[i] = 0; // Red
+                    pixels[i + 1] = 0; // Green
+                    pixels[i + 2] = 0; // Blue
+                }
             }
 
-            const { TABS, TOOLS } = FilerobotImageEditor;
-            const config = {
-                source: img.src,
-                // loadableDesignState:{ //默认值
-                //     annotations:{
-                //         watermark:{
-                //             image:'https://127.0.0.1:8189/view?filename=1703554480406.png&type=input&subfolder=&rand=0.044164708320141965',
-                //             width:100,
-                //             height:200,
-                //             x:10,
-                //             y:50,
-                //             name: "Image",
-                //             id:'watermark'
-                //         }
-                //     }
-                // },
-                // annotationsCommon: {
-                //     fill: '#ff0000',
-                // },
-                // Text: { text: 'Filerobot...' },
-                Rotate: { angle: 90, componentType: 'slider' },
+            // Put the modified image data back onto the canvas
+            ctx.putImageData(imageData, 0, 0);
 
-                Crop: {
-                    presetsItems: [
-                        {
-                            titleKey: 'classicTv',
-                            descriptionKey: '4:3',
-                            ratio: 4 / 3,
-                            // icon: CropClassicTv,  
-                        },
-                        {
-                            titleKey: 'cinemascope',
-                            descriptionKey: '21:9',
-                            ratio: 21 / 9,
-                            // icon: CropCinemaScope, 
-                        },
-                    ],
-                    presetsFolders: [
-                        {
-                            titleKey: 'socialMedia', // will be translated into Social Media as backend contains this translation key
-                            // icon: Social, // optional,  
-                            groups: [
-                                {
-                                    titleKey: 'facebook',
-                                    items: [
-                                        {
-                                            titleKey: 'profile',
-                                            width: 180,
-                                            height: 180,
-                                            descriptionKey: 'fbProfileSize',
-                                        },
-                                        {
-                                            titleKey: 'coverPhoto',
-                                            width: 820,
-                                            height: 312,
-                                            descriptionKey: 'fbCoverPhotoSize',
-                                        },
-                                    ],
-                                },
-                            ],
-                        },
-                    ],
-                },
-                tabsIds: [...Object.values(TABS)], // or ['Adjust', 'Annotate', 'Watermark']
-                defaultTabId: TABS.WATERMARK, // or 'Annotate'
-                defaultToolId: TOOLS.WATERMARK, // or 'Text'
-                closeAfterSave: true
-            };
+            // Convert the modified canvas to base64 data URL
+            const base64ImageData = canvas.toDataURL('image/png'); // Replace 'png' with your desired image format
+
+            return base64ImageData;
+        }
+
+
+
+        // 图像编辑
+        async function editImage(image, data) {
+            //判断mask是否有输出
+            let isMask = data.options.hasMask;
+
+            //app
+            document.body.querySelector('.app').style.display = 'none'
+            document.body.querySelector('#author').style.display = 'none'
 
             let editor = document.querySelector('#editor_container')
-            // Assuming we have a div with id="editor_container"
             editor.style.display = 'block';
-            // console.log(img,editor,data)
-            document.body.style.overflow = 'hidden'
+            const iframe = editor.querySelector('iframe');
 
-            const filerobotImageEditor = new FilerobotImageEditor(
-                editor,
-                config,
-            );
+            const sleep = (t = 1000) => {
+                return new Promise((res, rej) => {
+                    setTimeout(() => {
+                        res(true)
+                    }, t)
+                })
+            }
 
-            filerobotImageEditor.render({
-                onSave: (editedImageObject, designState) => {
-                    console.log('saved', designState)
-                    //adjustments
-                    update()
-                },
-                onClose: (closingReason) => {
-                    console.log('Closing reason', closingReason);
+            //清空 图层
+            const removeAllLayer = () => {
+                let Layers = iframe.contentWindow.Layers;
+                //清空
+                Layers.reset_layers()
+                Layers.refresh_gui()
+            }
 
-                    filerobotImageEditor.terminate();
-                    editor.style.display = 'none'
-                    document.body.style.overflow = 'auto'
+            // 复原
+            const resetLayer = () => {
+                let Layers = iframe.contentWindow.Layers;
+                for (const layer of Layers.get_layers()) {
+                    layer.visible = true;
+                }
+                Layers.refresh_gui()
+            }
+            //取image
+            const getImageBase64FromLayer = () => {
+                let Layers = iframe.contentWindow.Layers;
+                let tempCanvas = document.createElement("canvas");
+                let tempCtx = tempCanvas.getContext("2d");
+                let dim = Layers.get_dimensions();
+                tempCanvas.width = dim.width;
+                tempCanvas.height = dim.height;
+                for (const layer of Layers.get_layers()) {
+                    if (layer.name === 'Image_' + data.id) {
+                        layer.visible = true;
+                    } else {
+                        layer.visible = false;
+                    }
+                }
+                Layers.refresh_gui()
 
-                },
-            });
+                Layers.convert_layers_to_canvas(tempCtx);
+                return tempCanvas.toDataURL()
+            }
+
+            //add mask
+            const addMask = (id, name, image) => {
+                let Layers = iframe.contentWindow.Layers;
+                var new_mask_layer = {
+                    id,
+                    name,
+                    type: 'brush',
+                    data: [],
+                    render_function: ['brush', 'render'],
+                    width: image.naturalWidth || image.width,
+                    height: image.naturalHeight || image.height,
+
+                };
+                Layers.insert(new_mask_layer);
+            }
+
+            //add image
+            const addImage = (id, name, image) => {
+                let Layers = iframe.contentWindow.Layers;
+                var new_mask_layer = {
+                    id,
+                    name,
+                    type: 'image',
+                    data: image,
+                    width: image.naturalWidth || image.width,
+                    height: image.naturalHeight || image.height,
+                    width_original: image.naturalWidth || image.width,
+                    height_original: image.naturalHeight || image.height,
+                };
+                Layers.insert(new_mask_layer);
+            }
+
+            //默认的画笔size设置大
+            // let inputSize = (iframe.contentDocument.getElementById('size')).querySelector('input');
+            // inputSize.value=50;
+            // (iframe.contentDocument.getElementById('size')).querySelector('.increase_number').click()
+
+            //自动抠图
+            let autoMaskSelect = iframe.contentDocument.getElementById('automask_image_mixlab');
+            const select = iframe.contentDocument.getElementById('automask_models_mixlab');
+            if (select.children.length === 0) {
+                let rembgModels = await get_rembg_models()
+                // 遍历模型列表并创建选项
+                for (const model of rembgModels) {
+                    const option = document.createElement('option');
+                    option.value = model;
+                    option.textContent = model;
+                    select.appendChild(option);
+                }
+            }
+
+            let autoMaskBtn = iframe.contentDocument.getElementById('automask_image_mixlab');
+            if (!autoMaskBtn.getAttribute('init')) autoMaskBtn.addEventListener('click', async e => {
+                //api请求
+                let base64 = getImageBase64FromLayer()
+                resetLayer()
+
+                let res = await run_rembg(select.value, base64)
+                const match = res.match(/^data:image\/(\w+);base64,/);
+                if (!match) {
+                    res = 'data:image/png;base64,' + res
+                }
+
+                let image = await createImage(res)
+
+                let mb = convertImageToBlackBasedOnAlpha(image)
+                let mask = await createImage(mb)
+                let id = Layers.auto_increment;
+                addImage(id, 'Mask_' + data.id + id, mask)
+            })
+
+            autoMaskBtn.setAttribute('init', 1)
+            let cancelImageBtn = iframe.contentDocument.getElementById('cancel_image_mixlab');
+            if (!cancelImageBtn.getAttribute('init')) cancelImageBtn.addEventListener('click', e => {
+                editor.style.display = 'none';
+                document.body.querySelector('.app').style.display = 'flex'
+                document.body.querySelector('#author').style.display = 'block'
+            })
+
+            cancelImageBtn.setAttribute('init', 1)
+            // 获取 id 为 "mix" 的 button 元素
+            let saveImageBtn = iframe.contentDocument.getElementById('save_image_mixlab');
+            saveImageBtn.style = `width: 98px;
+            height: 36px;
+            margin: 0 12px;
+            background-color: var(--background-color-active);
+            color: var(--text-color-active);`
+            if (!saveImageBtn.getAttribute('init')) saveImageBtn.addEventListener('click', async e => {
+                //保存，并更新图片
+                e.preventDefault();
+
+                //image的合成，排除mask和brush
+                if (isMask) {
+
+                    let Layers = iframe.contentWindow.Layers;
+                    let tempCanvas = document.createElement("canvas");
+                    let tempCtx = tempCanvas.getContext("2d");
+                    let dim = Layers.get_dimensions();
+                    tempCanvas.width = dim.width;
+                    tempCanvas.height = dim.height;
+
+                    //todo 获取Image更新后的数据(暂不支持image的修改)
+
+                    for (const layer of Layers.get_layers()) {
+                        if (layer.name !== 'Image_' + data.id) {
+                            layer.visible = true;
+                        } else {
+                            layer.visible = false;
+                        }
+                    }
+                    Layers.refresh_gui()
+
+                    Layers.convert_layers_to_canvas(tempCtx);
+
+                    // 复原
+                    resetLayer()
+
+                    // 获取图像数据
+                    const imageData = tempCtx.getImageData(0, 0, dim.width, dim.height);
+                    const imageDataData = imageData.data;
+
+                    // 反相图像数据
+                    for (let i = 0; i < imageDataData.length; i += 4) {
+                        // imageDataData[i] = 255 - imageDataData[i];
+                        // imageDataData[i + 1] = 255 - imageDataData[i + 1];
+                        // imageDataData[i + 2] = 255 - imageDataData[i + 2];
+                        imageDataData[i + 3] = 255 - imageDataData[i + 3]; // 反相透明度
+                    }
+
+                    // 更新画布
+                    tempCtx.putImageData(imageData, 0, 0);
+
+
+                    let base64 = tempCanvas.toDataURL();
+                    // console.log(base64);
+                    editor.style.display = 'none';
+
+                    let fileBlob = base64ToBlob(base64)
+                    // // 获取读取的文件内容，即 Blob 对象
+                    let hashId = await calculateImageHash(fileBlob)
+
+                    if (hashId == window._appData.data[data.id].hashId) {
+                        document.body.querySelector('.app').style.display = 'flex'
+                        document.body.querySelector('#author').style.display = 'block'
+                        return;
+                    }
+
+                    //底图
+                    const { url: imgurl } = await uploadImage(base64ToBlob(data.options.defaultImage))
+                    //mask
+                    let { url, name } = await uploadMask(fileBlob, imgurl);
+                    // 在这里可以对 Blob 对象进行进一步处理
+                    // imageElement.src = url;
+                    window._appData.data[data.id].inputs.image = name;
+                    window._appData.data[data.id].hashId = hashId;
+
+                    // console.log("上传的文件：", url, data.id, name);
+                    //更新图片
+                    const canvas = document.createElement("canvas");
+                    canvas.width = dim.width;
+                    canvas.height = dim.height;
+
+                    const ctx = canvas.getContext('2d');
+
+                    const defaultImage = await createImage(data.options.defaultImage)
+                    ctx.drawImage(defaultImage, 0, 0, dim.width, dim.height);
+
+                    // 绘制base64图片
+                    // const base64Image = base64
+                    const base64ImageObj = await createImage(base64)
+                    ctx.globalCompositeOperation = 'destination-in';
+                    ctx.drawImage(base64ImageObj, 0, 0, dim.width, dim.height);
+                    image.src = canvas.toDataURL();
+
+                }
+
+                document.body.querySelector('.app').style.display = 'flex'
+                document.body.querySelector('#author').style.display = 'block'
+            })
+
+            saveImageBtn.setAttribute('init', 1)
+
+            var Layers = iframe.contentWindow.Layers;
+            // console.log(Layers)
+
+            //判断是否已经存在
+            let layers1 = Layers.get_layers();
+
+            //通过layer.link.src 判断是否图片更新
+            console.log(layers1.filter(l => l.name == 'Image_' + data.id)[0]?.link?.currentSrc !== data.options.defaultImage)
+            if (layers1.filter(l => l.name == 'Image_' + data.id)[0]
+                && layers1.filter(l => l.name == 'Image_' + data.id)[0].link.src !== data.options.defaultImage) {
+                //清空图层
+                removeAllLayer();
+                layers1 = [];
+                await sleep()
+            }
+
+            let im = await createImage(data.options.defaultImage)
+            // console.log(layers1, layers1.length)
+            if (!layers1.filter(l => l.name == 'Image_' + data.id)[0]) {
+                addImage(0, 'Image_' + data.id, im)
+            }
+
+            if (isMask) {
+                if (!layers1.filter(l => l.name == 'Mask_' + data.id)[0]) {
+                    addMask(1, 'Mask_' + data.id, im)
+                }
+            }
 
         }
 
@@ -951,7 +1233,7 @@
         }
 
 
-        function createOutputs(outputData, link) {
+        async function createOutputs(outputData, link) {
             const url = new URL(window.location.href);
             const params = new URLSearchParams(url.search);
             const innerApp = params.get("innerApp");
@@ -1072,20 +1354,21 @@
                     "TransparentImage"].includes(node.class_type)) {
 
                     const url = node.options?.defaultImage || window._appData?.icon || base64Df;
-                    let a = document.createElement('a');
+                    let a = document.createElement('div');
                     a.id = `output_${node.id}`
-                    a.setAttribute('data-pswp-width', "200");
-                    a.setAttribute('data-pswp-height', "200");
-                    a.setAttribute('target', "_blank");
-                    a.setAttribute('href', url);
-                    a.setAttribute('title', node.title);
 
-                    let img = new Image();
-                    // img;
-                    img.src = url;
+                    let img = await createImage(url)
+
                     a.appendChild(img)
+                    // a.setAttribute('data-pswp-width', img.naturalWidth);
+                    // a.setAttribute('data-pswp-height', img.naturalHeight);
+                    // a.setAttribute('target', "_blank");
+                    // a.setAttribute('href', url);
+                    // a.setAttribute('title', node.title);
+
                     output_card.appendChild(a);
                     isShowImageFn = true;
+
                 }
 
                 //3d 
@@ -1207,8 +1490,9 @@
 
                             if (hashId == window._appData.data[data.id].hashId) return
 
+                            let base64 = await blobToBase64(fileBlob)
+
                             if (data.class_type === 'LoadImagesToBatch') {
-                                let base64 = await blobToBase64(fileBlob)
                                 createBase64ImageForLoadImageToBatch(imageElement, data.id, base64)
                             } else {
                                 let { url, name } = await uploadImage(fileBlob);
@@ -1217,6 +1501,14 @@
                                 window._appData.data[data.id].inputs.image = name;
                                 window._appData.data[data.id].hashId = hashId;
                                 console.log("上传的文件：", url, data.id, name);
+
+                                //更换option里的default image
+                                window._appData.input = Array.from(window._appData.input, inp => {
+                                    if (inp.id === data.id) {
+                                        inp.options.defaultImage = base64;
+                                    }
+                                    return inp
+                                })
                             }
                         }
                     }
@@ -1486,7 +1778,8 @@
 
                     if (!isVideoUpload) btnFromClipboard.addEventListener('click', (event) => handleClipboardImage(imageElement, data));
 
-                    if (!isVideoUpload && !isBase64Upload) btnForImageEdit.addEventListener('click', e => editImage(imageElement, data))
+                    // 只有mask有输出，才有编辑功能
+                    if (!isVideoUpload && !isBase64Upload && data.options.hasMask) btnForImageEdit.addEventListener('click', e => editImage(imageElement, data))
 
 
                     uploadImageInput.addEventListener('click', (event) => {
@@ -1517,9 +1810,9 @@
                                 //上传，返回url
                                 let { url, name } = await uploadImage(fileBlob, '.' + file.type.split('/')[1])
 
+                                let base64 = await parseImageToBase64(url);
+
                                 if (data.class_type === 'ImagesPrompt_') {
-                                    // 
-                                    let base64 = await parseImageToBase64(url);
                                     uploadContainer.querySelector('.images_prompt_main').src = base64
                                     window._appData.data[data.id].inputs.image_base64 = base64;
                                 } else {
@@ -1529,10 +1822,17 @@
                                     // 在这里可以对 Blob 对象进行进一步处理
                                     imageElement.src = url;
 
-
                                     if (isVideoUpload) {
                                         window._appData.data[data.id].inputs.video = name;
                                     } else {
+                                        //更换option里的default image
+                                        window._appData.input = Array.from(window._appData.input, inp => {
+                                            if (inp.id === data.id) {
+                                                inp.options.defaultImage = base64;
+                                            }
+                                            return inp
+                                        })
+
                                         window._appData.data[data.id].inputs.image = name;
                                     }
 
@@ -2116,7 +2416,7 @@
             })
         }
 
-        function createUI(data, share = true) {
+        async function createUI(data, share = true) {
             // appData.input, appData.output, appData.seed, share, appData.link
             if (!data) return
             const { input: inputData, output: outputData, data: workflow, seed, seedTitle, link, name } = data;
@@ -2257,30 +2557,44 @@
             }
 
 
-            statusDiv.appendChild(status);
+            // statusDiv.appendChild(status);
             statusDiv.appendChild(seeds);
 
             // 创建输入框
             var input1 = createInputs(inputData)
 
-            var output = createOutputs(outputData, link)
+            var output = await createOutputs(outputData, link)
 
             // 创建提交按钮
+            let submitDiv = document.createElement('div');
+            submitDiv.appendChild(statusDiv);
+
+            let submitDivBtn = document.createElement('div');
+            submitDivBtn.style.display = 'flex'
+            submitDiv.appendChild(submitDivBtn);
+
+            submitDivBtn.appendChild(status);
+
+            submitDiv.className = 'run_div';
             var submitButton = document.createElement('button');
             submitButton.textContent = 'Create';
             submitButton.className = 'run_btn'
 
             // 将所有UI元素添加到页面中
-            leftDiv.appendChild(titleDiv);
-            leftDiv.appendChild(iconDes);
+            // leftDiv.appendChild(titleDiv);
+            // leftDiv.appendChild(iconDes);
             // leftDiv.appendChild(des);
-            leftDiv.appendChild(statusDiv);
+            // leftDiv.appendChild(statusDiv);
             leftDiv.appendChild(input1);
 
-            if (typeof (data.data) == 'object') mainDiv.appendChild(submitButton);
+            submitDivBtn.appendChild(submitButton);
+            if (typeof (data.data) == 'object') mainDiv.appendChild(submitDiv);
 
             rightDiv.appendChild(output);
 
+            // mainDiv.appendChild(titleDiv);
+            // mainDiv.appendChild(iconDes);
+
             mainDiv.appendChild(leftDetails);
             mainDiv.appendChild(rightDiv);
 
@@ -2628,7 +2942,7 @@
         async function createApp(appData, share = true) {
             // console.log(appData)
             // 使用示例：
-            var ui = createUI(appData, share);
+            var ui = await createUI(appData, share);
 
             // 更新标题
             ui.title.update(appData.name || 'Mixlab APP');
@@ -2768,7 +3082,8 @@
             const lightbox = new PhotoSwipeLightbox({
                 gallery: '.output_card',
                 children: 'a',
-                pswpModule: () => import('/extensions/comfyui-mixlab-nodes/lib/photoswipe.esm.min.js')
+                pswpModule: () => import('/extensions/comfyui-mixlab-nodes/lib/photoswipe.esm.min.js'),
+                // appendToEl: document.querySelector('#result')
             });
             lightbox.on('uiRegister', function () {
                 lightbox.pswp.ui.registerElement({
@@ -2813,8 +3128,8 @@
             if (appData.author) {
                 let div = document.body.querySelector('#author');
                 if (appData.author.link) div.href = appData.author.link
-                div.style = `z-index:20;display: flex;flex-direction: column;position: fixed;bottom: 12px;right: 24px;cursor: pointer;text-decoration: none;color: black;`
-                div.innerHTML = `<p style="font-size:12px">Author:</p>
+                div.style = `z-index:20;display: flex;flex-direction: column;position: fixed;bottom: 24px;left: 24px;cursor: pointer;text-decoration: none;color: black;`
+                div.innerHTML = `<p style="font-size:12px;margin: 8px 0;">Author:</p>
                 <div style="display: flex;"> <img style="width:32px;height:32px;border-radius: 100%;" 
                 src="${appData.author.avatar || base64Df}"/>
                 <p style="margin-left:8px;font-size:12px;font-weight:800">${appData.author.name || '-'}</p></div>`

web/javascript/app_mixlab.js

@@ -70,7 +70,8 @@ function get_position_style (ctx, widget_width, y, node_height) {
     display: 'flex',
     flexDirection: 'column',
     // alignItems: 'center',
-    justifyContent: 'flex-start'
+    justifyContent: 'flex-start',
+    zIndex: 9999999
   }
 }
 
@@ -192,7 +193,7 @@ async function extractInputAndOutputData (
             options.hasMask = true
           }
           // loadImage的默认图，转为base64
-          let imgurl = app.graph.getNodeById(id).imgs[0].src
+          let imgurl = app.graph.getNodeById(id).imgs[0].src + '&channel=rgb'
 
           options.defaultImage = await drawImageToCanvas(imgurl, 512)
           console.log('#loadImage的默认图', options)

web/javascript/chat.js

@@ -2,7 +2,7 @@ async function* completion (url, messages, controller) {
   let data = {
     model: 'gpt-3.5-turbo-16k',
     messages,
-    temperature: 0.6,
+    temperature: 0.05,
     stream: true
   }
   // if (imageNode) {

web/javascript/checkVersion_mixlab.js

@@ -3,7 +3,7 @@ import { app } from '../../../scripts/app.js'
 const repoOwner = 'shadowcz007' // 替换为仓库的所有者
 const repoName = 'comfyui-mixlab-nodes' // 替换为仓库的名称
 
-const version = 'v0.26.0'
+const version = 'v0.28.3'
 
 fetch(`https://api.github.com/repos/${repoOwner}/${repoName}/releases/latest`)
   .then(response => response.json())

web/javascript/ui_mixlab.js

@@ -26,7 +26,35 @@ function showTextByLanguage (key, json) {
 }
 
 //系统prompt
-const systemPrompt = `You are a prompt creator, your task is to create prompts for the user input request, the prompts are image descriptions that include keywords for (an adjective, type of image, framing/composition, subject, subject appearance/action, environment, lighting situation, details of the shoot/illustration, visuals aesthetics and artists), brake keywords by comas, provide high quality, non-verboose, coherent, brief, concise, and not superfluous prompts, the subject from the input request must be included verbatim on the prompt,the prompt is english`
+// const systemPrompt = `You are a prompt creator, your task is to create prompts for the user input request, the prompts are image descriptions that include keywords for (an adjective, type of image, framing/composition, subject, subject appearance/action, environment, lighting situation, details of the shoot/illustration, visuals aesthetics and artists), brake keywords by comas, provide high quality, non-verboose, coherent, brief, concise, and not superfluous prompts, the subject from the input request must be included verbatim on the prompt,the prompt is english`
+
+let tool ={
+  "name": "create_prompt",
+  "description": "Create a prompt with a given subject, content, and style based on user input for image descriptions.",
+  "parameter": {
+    "type": "object",
+    "properties": {
+      "subject": {
+        "type": "string",
+        "description": "The subject of the prompt, included verbatim from the input request.",
+        "required": true
+      },
+      "content": {
+        "type": "string",
+        "description": "The content of the prompt, primarily focusing on the scene and objects, including keywords for adjective, type of image, framing/composition, subject appearance/action, and environment.",
+        "required": true
+      },
+      "style": {
+        "type": "string",
+        "description": "The style of the prompt, including lighting situation, details of the shoot/illustration, visual aesthetics, and artists. Ensure it is high quality, non-verbose, coherent, brief, concise, and not superfluous.",
+        "required": true
+      }
+    }
+  }
+}
+
+const systemPrompt=`You are a helpful assistant with access to the following functions. Use them if required - ${JSON.stringify(tool,null,2)}`
+
 
 if (!localStorage.getItem('_mixlab_system_prompt')) {
   localStorage.setItem('_mixlab_system_prompt', systemPrompt)
@@ -46,7 +74,7 @@ async function get_llamafile_models () {
     })
 
     const data = await response.json()
-    console.log(data)
+    // console.log(data)
     return data.names
   } catch (error) {
     console.error(error)
@@ -539,7 +567,6 @@ injectCSS(`::-webkit-scrollbar {
   border-left: 2px solid var(--input-text); 
 }
  
-
 `)
 
 async function getCustomnodeMappings (mode = 'url') {
@@ -771,6 +798,22 @@ async function fetchReadmeContent (url) {
   }
 }
 
+async function startLLM (model) {
+  let res = await start_llama(model)
+  window._mixlab_llamacpp = res
+
+  localStorage.setItem('_mixlab_llama_select', res.model)
+
+  if (document.body.querySelector('#mixlab_chatbot_by_llamacpp')&&window._mixlab_llamacpp.url) {
+    document.body
+      .querySelector('#mixlab_chatbot_by_llamacpp')
+      .setAttribute('title', window._mixlab_llamacpp.url)
+  }
+  if (document.body.querySelector('#llm_status_btn')&&window._mixlab_llamacpp) {
+    document.body.querySelector('#llm_status_btn').innerText = window._mixlab_llamacpp.model
+  }
+}
+
 function createModelsModal (models) {
   var div =
     document.querySelector('#model-modal') || document.createElement('div')
@@ -826,7 +869,7 @@ function createModelsModal (models) {
       color: var(--descrip-text);
       font-size: 18px;
       display: flex;
-      align-items: center;
+      align-items: flex-start;
       flex: 1;
       overflow: hidden;
       text-decoration: none;
@@ -845,6 +888,27 @@ function createModelsModal (models) {
   })
   linkIcon.style.padding = '4px'
 
+  const statusIcon = document.createElement('small')
+  statusIcon.textContent = showTextByLanguage('Status', {
+    Status: 'OFF'
+  })
+  statusIcon.id = 'llm_status_btn'
+  statusIcon.style=`padding: 4px;
+  background-color: rgb(102, 255, 108);
+  color: black;
+  font-size: 12px;
+  margin-left: 12px;`
+  if (window._mixlab_llamacpp?.url) {
+    statusIcon.textContent = window._mixlab_llamacpp.model
+    statusIcon.style.backgroundColor = '#66ff6c'
+    statusIcon.style.color = 'black'
+  } else {
+  }
+  statusIcon.addEventListener('click', e => {
+    e.stopPropagation()
+    // startLLM()
+  })
+
   const n_gpu = document.createElement('input')
   n_gpu.type = 'number'
   n_gpu.setAttribute('min', -1)
@@ -879,20 +943,22 @@ function createModelsModal (models) {
   const title = document.createElement('p')
   title.innerText = 'Models'
   title.style = `font-size: 18px;
-  margin-right: 8px;`
+  margin-right: 8px;
+  margin-top: 0;`
 
   const left_d = document.createElement('div')
   left_d.style = `display: flex;
   justify-content: center;
-  align-items: center;
-  font-size: 12px;`
+  align-items: flex-start;
+  font-size: 12px;
+  flex-direction: column; `
   left_d.appendChild(title)
-
+  title.appendChild(statusIcon)
   left_d.appendChild(linkIcon)
-
+  left_d.appendChild(n_gpu_div)
   headTitleElement.appendChild(left_d)
 
-  headTitleElement.appendChild(n_gpu_div)
+  // headTitleElement.appendChild(n_gpu_div)
 
   //重启
   const reStart = document.createElement('small')
@@ -900,7 +966,11 @@ function createModelsModal (models) {
     restart: '重启'
   })
 
-  reStart.style.padding = '4px'
+  reStart.style=`padding: 8px;
+  font-size: 16px;
+  outline: 1px solid;
+  padding-top: 4px;
+  padding-bottom: 4px;`
 
   headTitleElement.appendChild(reStart)
 
@@ -959,29 +1029,22 @@ function createModelsModal (models) {
 
   modalContent.appendChild(input)
 
-  for (const m of models) {
-    let d = document.createElement('div')
-    d.innerText = m
-    d.className = `mix_tag`
+  if (!window._mixlab_llamacpp) {
+    for (const m of models) {
+      let d = document.createElement('div')
+      d.innerText = `${showTextByLanguage('Run', {
+        Run: '运行'
+      })} ${m}`
+      d.className = `mix_tag`
 
-    if (!window._mixlab_llamacpp) {
       d.addEventListener('click', async e => {
         e.stopPropagation()
         div.remove()
-        let res = await start_llama(m)
-        window._mixlab_llamacpp = res
-
-        localStorage.setItem('_mixlab_llama_select', res.model)
-
-        if (document.body.querySelector('#mixlab_chatbot_by_llamacpp')) {
-          document.body
-            .querySelector('#mixlab_chatbot_by_llamacpp')
-            .setAttribute('title', window._mixlab_llamacpp.url)
-        }
+        startLLM(m)
       })
-    }
 
-    modalContent.appendChild(d)
+      modalContent.appendChild(d)
+    }
   }
   modal.appendChild(modalContent)
 
@@ -995,8 +1058,8 @@ function createModelsModal (models) {
   cursor: pointer;
   font-size: 12px;
   color: white;`
-  helpInfo.href="https://discord.gg/cXs9vZSqeK"
-  helpInfo.target="_blank"
+  helpInfo.href = 'https://discord.gg/cXs9vZSqeK'
+  helpInfo.target = '_blank'
   modal.appendChild(helpInfo)
 
   document.body.appendChild(div)
@@ -1350,6 +1413,8 @@ app.registerExtension({
           .querySelector('#mixlab_chatbot_by_llamacpp')
           .setAttribute('title', res.url)
       })
+    }else{
+      startLLM('')
     }
 
     LGraphCanvas.prototype.helpAboutNode = async function (node) {
@@ -1358,7 +1423,13 @@ app.registerExtension({
           ? nodesMap
           : await getCustomnodeMappings('url')
 
-      console.log('node & node map', node, nodesMap, nodesMap[node.type])
+      console.log(
+        '%c### node & node map',
+        'background: yellow; color: black',
+        node,
+        nodesMap,
+        nodesMap[node.type]
+      )
       let repo = nodesMap[node.type]
       if (repo) {
         let markdown = await fetchReadmeContent(repo.url)
@@ -1389,6 +1460,7 @@ app.registerExtension({
         let userInput = widget.value
         widget.value = widget.value.trim()
         widget.value += '\n'
+        let jsonStr="";
         try {
           await completion_(
             window._mixlab_llamacpp.url + '/v1/chat/completions',
@@ -1403,6 +1475,7 @@ app.registerExtension({
             t => {
               // console.log(t)
               widget.value += t
+              jsonStr+=t
             }
           )
         } catch (error) {
@@ -1428,13 +1501,27 @@ app.registerExtension({
                 t => {
                   // console.log(t)
                   widget.value += t
+                  jsonStr+=t
                 }
               )
             })
           }
         }
 
-        widget.value = widget.value.trim()
+        let json=null;
+
+        try {
+          json=JSON.parse(jsonStr.trim())
+        } catch (error) {
+          json=JSON.parse(jsonStr.trim()+"}")
+        }
+
+        if(json){
+          widget.value = [json.subject,json.content,json.style].join('\n')
+        }else{
+          widget.value = widget.value.trim()
+        }
+        
       }
     }
 

web/lib/miniPaint-4.14.2/dist/bundle.js.LICENSE.txt

@@ -0,0 +1,47 @@
+/*
+object-assign
+(c) Sindre Sorhus
+@license MIT
+*/
+
+/*!
+
+pica
+https://github.com/nodeca/pica
+
+*/
+
+/*!
+ * Block below copied from Protovis: http://mbostock.github.com/protovis/
+ * Copyright 2010 Stanford Visualization Group
+ * Licensed under the BSD License: http://www.opensource.org/licenses/bsd-license.php
+ * @license
+ */
+
+/*!
+ * jQuery JavaScript Library v3.7.1
+ * https://jquery.com/
+ *
+ * Copyright OpenJS Foundation and other contributors
+ * Released under the MIT license
+ * https://jquery.org/license
+ *
+ * Date: 2023-08-28T13:37Z
+ */
+
+/*!
+ * quantize.js Copyright 2008 Nick Rabinowitz.
+ * Licensed under the MIT license: http://www.opensource.org/licenses/mit-license.php
+ * @license
+ */
+
+/*! alertifyjs - v1.13.1 - Mohammad Younes <Mohammad@alertifyjs.com> (http://alertifyjs.com) */
+
+/*! regenerator-runtime -- Copyright (c) 2014-present, Facebook, Inc. -- license (MIT): https://github.com/facebook/regenerator/blob/main/LICENSE */
+
+/**
+ * hermite-resize - Canvas image resize/resample using Hermite filter with JavaScript.
+ * @version v2.2.10
+ * @link https://github.com/viliusle/miniPaint
+ * @license MIT
+ */

web/lib/miniPaint-4.14.2/dist/bundle.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"bundle.js","sources":["webpack://miniPaint/bundle.js"],"mappings":";AAAA","sourceRoot":""}

web/lib/miniPaint-4.14.2/images/favicon.svg

@@ -0,0 +1,13 @@
+<?xml version="1.0" encoding="iso-8859-1"?>
+<!-- Generator: Adobe Illustrator 18.1.1, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" id="Capa_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 298.73 298.73" style="enable-background:new 0 0 298.73 298.73;" xml:space="preserve">
+<g>
+	<path style="fill:#010002;" d="M264.959,9.35H33.787C15.153,9.35,0,24.498,0,43.154v212.461c0,18.634,15.153,33.766,33.787,33.766
+		h231.171c18.634,0,33.771-15.132,33.771-33.766V43.154C298.73,24.498,283.593,9.35,264.959,9.35z M193.174,59.623
+		c18.02,0,32.634,14.615,32.634,32.634s-14.615,32.634-32.634,32.634c-18.025,0-32.634-14.615-32.634-32.634
+		S175.149,59.623,193.174,59.623z M254.363,258.149H149.362H49.039c-9.013,0-13.027-6.521-8.964-14.566l56.006-110.93
+		c4.058-8.044,11.792-8.762,17.269-1.605l56.316,73.596c5.477,7.158,15.05,7.767,21.386,1.354l13.777-13.951
+		c6.331-6.413,15.659-5.619,20.826,1.762l35.675,50.959C266.487,252.16,263.376,258.149,254.363,258.149z"/>
+</g>
+</svg>

web/lib/miniPaint-4.14.2/images/icons/animation.svg

@@ -0,0 +1,13 @@
+<?xml version="1.0" encoding="iso-8859-1"?>
+<!-- Generator: Adobe Illustrator 18.1.1, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" id="Capa_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 30.051 30.051" style="enable-background:new 0 0 30.051 30.051;" xml:space="preserve">
+<g>
+	<path d="M19.982,14.438l-6.24-4.536c-0.229-0.166-0.533-0.191-0.784-0.062c-0.253,0.128-0.411,0.388-0.411,0.669v9.069
+		c0,0.284,0.158,0.543,0.411,0.671c0.107,0.054,0.224,0.081,0.342,0.081c0.154,0,0.31-0.049,0.442-0.146l6.24-4.532
+		c0.197-0.145,0.312-0.369,0.312-0.607C20.295,14.803,20.177,14.58,19.982,14.438z"/>
+	<path d="M15.026,0.002C6.726,0.002,0,6.728,0,15.028c0,8.297,6.726,15.021,15.026,15.021c8.298,0,15.025-6.725,15.025-15.021
+		C30.052,6.728,23.324,0.002,15.026,0.002z M15.026,27.542c-6.912,0-12.516-5.601-12.516-12.514c0-6.91,5.604-12.518,12.516-12.518
+		c6.911,0,12.514,5.607,12.514,12.518C27.541,21.941,21.937,27.542,15.026,27.542z"/>
+</g>
+</svg>

web/lib/miniPaint-4.14.2/images/icons/arrow-down.svg

@@ -0,0 +1,5 @@
+<svg width="124" height="150" viewBox="0 0 124 150" xmlns="http://www.w3.org/2000/svg">
+<rect x="55" y="14" width="14" height="63"/>
+<rect x="116" width="14" height="61" transform="rotate(90 116 0)"/>
+<path d="M62 150L8.30643 75L115.694 75L62 150Z"/>
+</svg>

web/lib/miniPaint-4.14.2/images/icons/blur.svg

@@ -0,0 +1,28 @@
+<?xml version="1.0" encoding="iso-8859-1"?>
+<!-- Generator: Adobe Illustrator 19.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 512 512" style="enable-background:new 0 0 512 512;" xml:space="preserve">
+<g>
+	<g>
+		<path d="M264.574,4.675C262.697,1.761,259.467,0,256,0c-3.467,0-6.697,1.761-8.574,4.675
+			c-6.532,10.14-159.966,249.362-159.966,338.784C87.459,436.393,163.066,512,256,512s168.541-75.607,168.541-168.541
+			C424.541,254.037,271.106,14.815,264.574,4.675z M256,491.602c-81.686,0-148.142-66.456-148.142-148.143
+			c0-34.037,26.926-101.269,77.865-194.427C213.83,97.626,242.219,51.324,256,29.29c13.77,22.016,42.123,68.259,70.223,119.64
+			c50.976,93.212,77.92,160.478,77.92,194.529C404.142,425.146,337.686,491.602,256,491.602z"/>
+	</g>
+</g>
+<g>
+	<g>
+		<path d="M375.907,332.939c-5.633,0-10.199,4.566-10.199,10.199c0,43.197-25.482,82.521-64.919,100.181
+			c-5.141,2.301-7.442,8.335-5.14,13.476c1.695,3.788,5.416,6.034,9.314,6.034c1.393,0,2.809-0.287,4.163-0.893
+			c46.764-20.941,76.981-67.572,76.981-118.797C386.106,337.505,381.54,332.939,375.907,332.939z"/>
+	</g>
+</g>
+<g>
+	<g>
+		<path d="M281.818,460.702c-0.729-5.586-5.85-9.519-11.435-8.791c-4.736,0.619-9.574,0.933-14.383,0.933
+			c-5.633,0-10.199,4.566-10.199,10.199c0,5.633,4.566,10.199,10.199,10.199c5.69,0,11.419-0.372,17.028-1.106
+			C278.613,471.407,282.548,466.287,281.818,460.702z"/>
+	</g>
+</g>
+</svg>

web/lib/miniPaint-4.14.2/images/icons/bold.svg

@@ -0,0 +1,4 @@
+<?xml version="1.0" encoding="iso-8859-1"?>
+<svg width="1em" height="1em" viewBox="0 0 16 16" fill="currentColor" xmlns="http://www.w3.org/2000/svg">
+	<path d="M8.21 13c2.106 0 3.412-1.087 3.412-2.823 0-1.306-.984-2.283-2.324-2.386v-.055a2.176 2.176 0 0 0 1.852-2.14c0-1.51-1.162-2.46-3.014-2.46H3.843V13H8.21zM5.908 4.674h1.696c.963 0 1.517.451 1.517 1.244 0 .834-.629 1.32-1.73 1.32H5.908V4.673zm0 6.788V8.598h1.73c1.217 0 1.88.492 1.88 1.415 0 .943-.643 1.449-1.832 1.449H5.907z"/>
+</svg>

web/lib/miniPaint-4.14.2/images/icons/brush.svg

@@ -0,0 +1 @@
+<svg height="443pt" viewBox="0 0 443.06138 443" width="443pt" xmlns="http://www.w3.org/2000/svg"><path d="m431.328125 25.894531-14.136719-14.136719c-8.070312-8.078124-19.210937-12.320312-30.613281-11.6601558-11.402344.6601558-21.976563 6.1640628-29.058594 15.1249998l-117.023437 164.839844c-4.089844 5.761719-10.511719 9.425781-17.554688 10.019531-7.039062.59375-13.984375-1.945312-18.980468-6.941406l-34.234376-34.207031c-9.480468-9.109375-24.46875-9.109375-33.949218 0l-11.296875 11.304687 158.398437 158.398438 11.304688-11.304688c4.527344-4.488281 7.070312-10.597656 7.070312-16.96875 0-6.375-2.542968-12.484375-7.070312-16.972656l-34.222656-34.234375c-4.996094-4.996094-7.535157-11.941406-6.941407-18.980469.59375-7.042969 4.257813-13.464843 10.019531-17.554687l165-117.183594c8.890626-7.109375 14.332032-17.671875 14.960938-29.035156.628906-11.367188-3.617188-22.464844-11.671875-30.507813zm-24 43.808594c-9.375 9.371094-24.570313 9.371094-33.945313 0-9.371093-9.375-9.371093-24.574219 0-33.945313 9.496094-9.0625 24.441407-9.0625 33.9375 0 9.375 9.371094 9.378907 24.570313.007813 33.945313zm0 0"/><path d="m390.351562 44.734375c-3.234374 0-6.152343 1.949219-7.390624 4.9375-1.234376 2.988281-.550782 6.429687 1.734374 8.71875 3.160157 3.03125 8.148438 3.03125 11.304688 0 2.289062-2.289063 2.972656-5.730469 1.734375-8.71875s-4.15625-4.9375-7.390625-4.9375zm0 0"/><path d="m135.792969 420.429688 22.65625 22.65625 113.085937-113.167969-158.398437-158.402344-113.136719 113.121094 22.65625 22.65625 84.847656-84.855469c2.007813-2.078125 4.984375-2.914062 7.78125-2.183594 2.796875.734375 4.980469 2.917969 5.710938 5.714844.734375 2.796875-.101563 5.773438-2.179688 7.78125l-84.847656 84.855469 22.632812 22.625 50.902344-50.90625c3.140625-3.03125 8.128906-2.988281 11.214844.097656s3.128906 8.078125.097656 11.214844l-50.90625 50.921875 22.617188 22.621094 62.214844-62.222657c3.125-3.125 8.191406-3.128906 11.316406-.003906 3.128906 3.125 3.128906 8.191406.003906 11.316406l-62.222656 62.222657 22.625 22.625 73.535156-73.535157c3.140625-3.03125 8.128906-2.988281 11.214844.097657 3.085937 3.085937 3.128906 8.074218.097656 11.214843zm0 0"/></svg>

web/lib/miniPaint-4.14.2/images/icons/bulge_pinch.svg

@@ -0,0 +1,17 @@
+<?xml version="1.0" encoding="iso-8859-1"?>
+<!-- Generator: Adobe Illustrator 19.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" id="Capa_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 402.56 402.56" style="enable-background:new 0 0 402.56 402.56;" xml:space="preserve">
+<g>
+	<g>
+		<polygon points="38.613,234.88 38.4,274.56 96.64,274.56 116.693,265.173 9.6,372.48 39.68,402.56 147.2,295.253 137.813,316.587 
+			137.813,373.76 177.493,374.187 177.493,234.88 		"/>
+	</g>
+</g>
+<g>
+	<g>
+		<polygon points="306.987,128.213 285.653,137.6 392.96,30.08 362.88,0 255.573,107.307 264.96,87.04 264.96,28.8 225.28,29.013 
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web/lib/miniPaint-4.14.2/images/icons/clone.svg

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web/lib/miniPaint-4.14.2/images/icons/crop.svg

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web/lib/miniPaint-4.14.2/images/icons/delete.svg

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web/lib/miniPaint-4.14.2/images/icons/desaturate.svg

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web/lib/miniPaint-4.14.2/images/icons/erase.svg

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web/lib/miniPaint-4.14.2/images/icons/fill.svg

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web/lib/miniPaint-4.14.2/images/icons/italic.svg

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web/lib/miniPaint-4.14.2/images/icons/magic_erase.svg

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web/lib/miniPaint-4.14.2/images/icons/media.svg

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web/lib/miniPaint-4.14.2/images/icons/menu.svg

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web/lib/miniPaint-4.14.2/images/icons/pencil.svg

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web/lib/miniPaint-4.14.2/images/icons/pick_color.svg

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web/lib/miniPaint-4.14.2/images/icons/refresh.svg

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web/lib/miniPaint-4.14.2/images/icons/select.svg

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web/lib/miniPaint-4.14.2/images/icons/selection.svg

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web/lib/miniPaint-4.14.2/images/icons/shape.svg

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web/lib/miniPaint-4.14.2/images/icons/sharpen.svg

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web/lib/miniPaint-4.14.2/images/icons/strikethrough.svg

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web/lib/miniPaint-4.14.2/images/icons/text.svg

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web/lib/miniPaint-4.14.2/images/icons/underline.svg

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web/lib/miniPaint-4.14.2/images/icons/undo.svg

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web/lib/miniPaint-4.14.2/images/icons/view.svg

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web/lib/miniPaint-4.14.2/index.html

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+
+<head>
+	<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+	<meta http-equiv="x-ua-compatible" content="IE=edge" />
+	<title>miniPaint - image editor</title>
+	<meta name="description"
+		content="miniPaint is free online image editor using HTML5. Edit, adjust your images, add effects online in your browser, without installing anything..." />
+	<meta name="keywords"
+		content="photo, image, picture, transparent, layers, free, edit, html5, canvas, javascript, online, photoshop, gimp, effects, sharpen, blur, magic eraser tool, clone tool, rotate, resize, photoshop online, online tools, tilt shift, sprites, keypoints" />
+	<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1.0, user-scalable=0" />
+	<link rel="icon" sizes="192x192" href="images/favicon.png">
+	<!-- <link rel="manifest" href="dist/manifest.json"> -->
+	<!-- Google -->
+	<meta itemprop="name" content="miniPaint" />
+	<meta itemprop="description"
+		content="miniPaint is free online image editor using HTML5. Edit, adjust your images, add effects online in your browser, without installing anything..." />
+	<meta itemprop="image" content="https://viliusle.github.io/miniPaint/images/preview.jpg" />
+	<!-- Twitter -->
+	<meta name="twitter:card" content="summary_large_image" />
+	<meta name="twitter:title" content="miniPaint" />
+	<meta name="twitter:description"
+		content="miniPaint is free online image editor using HTML5. Edit, adjust your images, add effects online in your browser, without installing anything..." />
+	<meta name="twitter:image" content="https://viliusle.github.io/miniPaint/images/preview.jpg" />
+	<meta name="twitter:image:alt"
+		content="miniPaint is free online image editor using HTML5. Edit, adjust your images, add effects online in your browser, without installing anything..." />
+	<!-- Facebook, Pinterest -->
+	<meta property="og:title" content="miniPaint" />
+	<meta property="og:type" content="article" />
+	<meta property="og:url" content="https://viliusle.github.io/miniPaint/" />
+	<meta property="og:image" content="https://viliusle.github.io/miniPaint/images/preview.jpg" />
+	<meta property="og:description"
+		content="miniPaint is free online image editor using HTML5. Edit, adjust your images, add effects online in your browser, without installing anything..." />
+	<meta property="og:site_name" content="miniPaint" />
+
+	<script src="dist/bundle.ejs"></script>
+</head>
+
+<body>
+	<div class="wrapper">
+
+		<nav aria-label="Main Menu" class="main_menu" id="main_menu"></nav>
+
+		<div class="submenu">
+			<!-- <a class="logo" href="#">miniPaint</a> -->
+			<div class="block attributes" id="action_attributes"></div>
+			
+			<select id="automask_models_mixlab"></select>
+
+			<button id="automask_image_mixlab" type="button" style="width: 98px;
+			height: 36px;margin-right: 18px;
+			color: white;">
+				RemoveBg
+			</button>
+
+			<button id="cancel_image_mixlab" type="button" style="width: 98px;
+			height: 36px;
+			color: white;">
+				Cancel
+			</button>
+			<button id="save_image_mixlab" type="button" style="width: 98px;
+			height: 36px;
+			color: white;">
+				Save
+			</button>
+
+			<a  
+			target="_blank" href="https://discord.gg/xbP2GZF6gn" 
+			style="width: 98px;
+			color: white;
+			text-decoration: none;"> Help/帮助 </a>
+
+			<button class="undo_button" id="undo_button" type="button">
+				<span class="sr_only">Undo</span>
+			</button>
+		</div>
+
+		<div class="sidebar_left" id="tools_container"></div>
+
+
+		<div class="middle_area" id="middle_area">
+
+			<canvas class="ruler_left" id="ruler_left"></canvas>
+			<canvas class="ruler_top" id="ruler_top"></canvas>
+
+			<div class="main_wrapper" id="main_wrapper">
+				<div class="canvas_wrapper" id="canvas_wrapper">
+					<div id="mouse"></div>
+					<div class="transparent-grid" id="canvas_minipaint_background"></div>
+					<canvas id="canvas_minipaint">
+						<div class="trn error">
+							Your browser does not support canvas or JavaScript is not enabled.
+						</div>
+					</canvas>
+				</div>
+			</div>
+		</div>
+
+		<div class="sidebar_right">
+			<div class="preview block" style="display: none;">
+				<h2 class="trn toggle" data-target="toggle_preview">Preview</h2>
+				<div id="toggle_preview"></div>
+			</div>
+
+			<div class="colors block">
+				<h2 class="trn toggle" data-target="toggle_colors">Colors</h2>
+				<div class="content" id="toggle_colors"></div>
+			</div>
+
+			<div class="block" id="info_base" style="display: none;">
+				<h2 class="trn toggle toggle-full" data-target="toggle_info">Information</h2>
+				<div class="content" id="toggle_info"></div>
+			</div>
+
+			<div class="details block" id="details_base">
+				<h2 class="trn toggle toggle-full" data-target="toggle_details">Layer details</h2>
+				<div class="content details-content" id="toggle_details"></div>
+			</div>
+
+			<div class="layers block">
+				<h2 class="trn">Layers</h2>
+				<div class="content" id="layers_base"></div>
+			</div>
+		</div>
+	</div>
+	<div class="mobile_menu">
+		<button class="left_mobile_menu" id="left_mobile_menu_button" type="button">
+			<span class="sr_only">Toggle Menu</span>
+		</button>
+		<button class="right_mobile_menu" id="mobile_menu_button" type="button">
+			<span class="sr_only">Toggle Menu</span>
+		</button>
+	</div>
+	<div class="hidden" id="tmp"></div>
+	<div id="popups"></div>
+</body>
+
+</html>