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 }}

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 {
@@ -452,7 +470,7 @@
     <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>
@@ -474,15 +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>
@@ -680,11 +697,89 @@
         }
 
 
+        // 获取 rembg 模型
+        async function get_rembg_models() {
+            try {
+                const response = await fetch(`${get_url()}/mixlab/folder_paths`, {
+                    method: 'POST',
+                    headers: {
+                        'Content-Type': 'application/json'
+                    },
+                    body: JSON.stringify({
+                        type: 'rembg'
+                    })
+                })
+
+                const data = await response.json()
+                // console.log(data)
+                return data.names
+            } catch (error) {
+                console.error(error)
+            }
+        }
+
+        //自动抠图
+        async function run_rembg(model, base64) {
+            try {
+                const response = await fetch(`${get_url()}/mixlab/rembg`, {
+                    method: 'POST',
+                    headers: {
+                        'Content-Type': 'application/json'
+                    },
+                    body: JSON.stringify({
+                        model,
+                        base64
+                    })
+                })
+
+                const data = await response.json()
+                // console.log(data)
+                return data.data
+            } catch (error) {
+                console.error(error)
+            }
+        }
+
+        function convertImageToBlackBasedOnAlpha(image) {
+            const canvas = document.createElement('canvas');
+            const ctx = canvas.getContext('2d');
+
+            // Draw the image onto the canvas
+            canvas.width = image.width;
+            canvas.height = image.height;
+            ctx.drawImage(image, 0, 0);
+
+            // Get the image data from the canvas
+            const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
+            const pixels = imageData.data;
+
+            // 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
+                }
+            }
+
+            // Put the modified image data back onto the canvas
+            ctx.putImageData(imageData, 0, 0);
+
+            // 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;
-            console.log(data)
+
             //app
             document.body.querySelector('.app').style.display = 'none'
             document.body.querySelector('#author').style.display = 'none'
@@ -693,21 +788,139 @@
             editor.style.display = 'block';
             const iframe = editor.querySelector('iframe');
 
+            const sleep = (t = 1000) => {
+                return new Promise((res, rej) => {
+                    setTimeout(() => {
+                        res(true)
+                    }, t)
+                })
+            }
+
+            //清空 图层
+            const removeAllLayer = () => {
+                let Layers = iframe.contentWindow.Layers;
+                //清空
+                Layers.reset_layers()
+                Layers.refresh_gui()
+            }
+
+            // 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');
-            cancelImageBtn.addEventListener('click', e => {
+            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.addEventListener('click', async e => {
+            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();
 
@@ -721,6 +934,7 @@
                     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) {
@@ -734,13 +948,7 @@
                     Layers.convert_layers_to_canvas(tempCtx);
 
                     // 复原
-                    for (const layer of Layers.get_layers()) {
-                        layer.visible = true;
-                    }
-                    Layers.refresh_gui()
-
-
-
+                    resetLayer()
 
                     // 获取图像数据
                     const imageData = tempCtx.getImageData(0, 0, dim.width, dim.height);
@@ -766,10 +974,15 @@
                     // // 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) return;
+                    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;
@@ -777,31 +990,22 @@
                     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 = new Image();
-                    defaultImage.src = data.options.defaultImage;
-                    defaultImage.onload = function () {
-                        ctx.drawImage(defaultImage, 0, 0, dim.width, dim.height);
+                    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 = new Image();
-                        base64ImageObj.onload = function () {
-                            ctx.globalCompositeOperation = 'destination-in';
-                            ctx.drawImage(base64ImageObj, 0, 0, dim.width, dim.height);
-                            image.src = canvas.toDataURL();
-                        };
-                        base64ImageObj.src = base64;
-                    };
+                    // 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();
 
                 }
 
@@ -809,46 +1013,34 @@
                 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()
+            let layers1 = Layers.get_layers();
 
-            if (!layers1.filter(l => l.name == 'Image_' + data.id)[0]) {
-                var new_layer = {
-                    id: (Layers.get_layers()).length,
-                    name: 'Image_' + data.id,
-                    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_layer);
+            //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]) {
-                    var new_mask_layer = {
-                        id: (Layers.get_layers()).length,
-                        name: 'Mask_' + data.id,
-                        type: 'brush',
-                        data: [],
-                        render_function: ['brush', 'render'],
-                        width: image.naturalWidth || image.width,
-                        height: image.naturalHeight || image.height,
-
-                    };
-
-                    Layers.insert(new_mask_layer);
+                    addMask(1, 'Mask_' + data.id, im)
                 }
-
             }
 
         }
@@ -1041,7 +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");
@@ -1162,20 +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 
@@ -1297,8 +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);
@@ -1307,6 +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
+                                })
                             }
                         }
                     }
@@ -1608,9 +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 {
@@ -1620,10 +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;
                                     }
 
@@ -2207,7 +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;
@@ -2348,30 +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);
 
@@ -2719,7 +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');
@@ -2859,7 +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({
@@ -2904,8 +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/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 = 'v0.27.0'
+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)
@@ -539,10 +567,6 @@ injectCSS(`::-webkit-scrollbar {
   border-left: 2px solid var(--input-text); 
 }
  
-.litegraph{
-  background: var(--bg-color)!important;
-}
-
 `)
 
 async function getCustomnodeMappings (mode = 'url') {
@@ -774,6 +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')
@@ -829,7 +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;
@@ -848,6 +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)
@@ -882,20 +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')
@@ -903,7 +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)
 
@@ -962,29 +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)
 
@@ -998,8 +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)
@@ -1353,6 +1413,8 @@ app.registerExtension({
           .querySelector('#mixlab_chatbot_by_llamacpp')
           .setAttribute('title', res.url)
       })
+    }else{
+      startLLM('')
     }
 
     LGraphCanvas.prototype.helpAboutNode = async function (node) {
@@ -1361,7 +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)
@@ -1392,6 +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',
@@ -1406,6 +1475,7 @@ app.registerExtension({
             t => {
               // console.log(t)
               widget.value += t
+              jsonStr+=t
             }
           )
         } catch (error) {
@@ -1431,13 +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/.babelrc

@@ -1,8 +0,0 @@
-{
-	"presets": ["@babel/preset-env"],
-	"plugins": [
-		["@babel/plugin-transform-runtime", {
-			"regenerator": true
-		}]
-	]
-}

web/lib/miniPaint-4.14.2/.gitignore

@@ -1,17 +0,0 @@
-# OS generated files #
-.DS_Store
-.DS_Store?
-._*
-.Trashes
-ehthumbs.db
-Thumbs.db
-nbproject/
-.idea/
-.git/
-.vscode
-/.project
-*.log
-
-/node_modules/
-*.js.ignore
-

web/lib/miniPaint-4.14.2/MIT-LICENSE.txt

@@ -1,21 +0,0 @@
-Copyright (c) ViliusL
-https://github.com/viliusle
-
-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.

web/lib/miniPaint-4.14.2/README.md

@@ -1,63 +0,0 @@
-# miniPaint
-
-Online image editor lets you create, edit images using HTML5 technologies.
-No need to buy, download, install or have obsolete flash. No ads.
-Key features: layers, filters, HTML5, open source, Photoshop alternative.
-
-miniPaint operates directly in the browser. You can create images, paste from the clipboard (ctrl+v) 
-or upload from the computer (using menu or drag & drop). Nothing will be sent to any server. Everything stays in your 
-browser. 
-
-## URL:
-**https://viliusle.github.io/miniPaint/**
-
-## Preview:
-![miniPaint](https://raw.githubusercontent.com/viliusle/miniPaint/master/images/preview.gif)
-(generated using miniPaint)
-
-**Change log:** [/miniPaint/releases](https://github.com/viliusle/miniPaint/releases)
-
-## Browser Support
-- Chrome
-- Firefox
-- Opera
-- Edge
-- Safari
-
-## Features
-
-- **Files**: open images, directories, URL, data URL, drag and drop, save (PNG, JPG, BMP, WEBP, animated GIF, TIFF, JSON 
-(layers data), print.
-- **Edit**: Undo, cut, copy, paste, selection, paste from clipboard.
-- **Image**: information, EXIF, trim, zoom, resize (Hermite resample, default resize), rotate, flip, 
-color corrections (brightness, contrast, hue, saturation, luminance), auto adjust colors, grid, histogram, negative.
-- **Layers**: multiple layers system, differences, merge, flatten, Transparency support.
-- **Effects**: Black and White, Blur (box, Gaussian, stack, zoom), Bulge/Pinch, Denoise, Desaturate, Dither, Dot Screen, 
-Edge, Emboss, Enrich, Gamma, Grains, GrayScale, Heatmap, JPG Compression, Mosaic, Oil, Sepia, Sharpen, Solarize, 
-Tilt Shift, Vignette, Vibrance, Vintage, Blueprint, Night Vision, Pencil, also Instagram Filters: 1977, Aden, Clarendon, 
-Gingham, Inkwell, Lo-fi, Toaster, Valencia, X-Pro II.
-- **Tools**: pencil, brush, magic wand, erase, fill, color picker, letters, crop, blur, sharpen, desaturate, clone,
- borders, sprites, key-points, color zoom, replace color, restore alpha, content fill.
-- **Help**: keyboard shortcuts, translations.
-
-## Embed
-To embed this app in the other page, use this HTML code:
-
-    <iframe style="width:100%; height:1000px;" id="miniPaint" src="https://viliusle.github.io/miniPaint/" allow="camera"></iframe>
-
-## Build instructions
-See [Wiki > Build instructions](https://github.com/viliusle/miniPaint/wiki/Build-instructions)
-
-## Wiki
-See [Wiki](https://github.com/viliusle/miniPaint/wiki)
-
-## Contributors
-<a align="center" href="https://github.com/viliusle/miniPaint/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=viliusle/miniPaint" />
-</a>
-
-## License
-MIT License
-
-## Support
-Please use the GitHub issues for support, features, issues or use mail www.viliusl@gmail.com for contacts.

web/lib/miniPaint-4.14.2/SECURITY.md

@@ -1,15 +0,0 @@
-# Security Policy
-
-## Supported Versions
-
-Use this section to tell people about which versions of your project are
-currently being supported with security updates.
-
-| Version | Supported          |
-| ------- | ------------------ |
-| latest   | :white_check_mark: |
-| < latest   | :x:                |
-
-## Reporting a Vulnerability
-
-Please send details to www.viliusl@gmail.com

web/lib/miniPaint-4.14.2/index.html

@@ -34,7 +34,7 @@
 		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.js"></script>
+	<script src="dist/bundle.ejs"></script>
 </head>
 
 <body>
@@ -45,6 +45,15 @@
 		<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;">
@@ -55,6 +64,13 @@
 			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>
@@ -82,7 +98,7 @@
 		</div>
 
 		<div class="sidebar_right">
-			<div class="preview block">
+			<div class="preview block" style="display: none;">
 				<h2 class="trn toggle" data-target="toggle_preview">Preview</h2>
 				<div id="toggle_preview"></div>
 			</div>
@@ -92,7 +108,7 @@
 				<div class="content" id="toggle_colors"></div>
 			</div>
 
-			<div class="block" id="info_base">
+			<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>

web/lib/miniPaint-4.14.2/manifest-disabled.json

@@ -1,41 +0,0 @@
-{
-	"name": "miniPaint",
-	"short_name": "miniPaint",
-	"start_url": "/",
-	"display": "standalone",
-	"orientation": "landscape",
-	"background_color": "#666d6f",
-	"description": "miniPaint is free online image editor using HTML5.",
-	"icons": [
-		{
-			"src": "images/manifest/48x48.png",
-			"sizes": "48x48",
-			"type": "image/png"
-		},
-		{
-			"src": "images/manifest/72x72.png",
-			"sizes": "72x72",
-			"type": "image/png"
-		},
-		{
-			"src": "images/manifest/96x96.png",
-			"sizes": "96x96",
-			"type": "image/png"
-		},
-		{
-			"src": "images/manifest/144x144.png",
-			"sizes": "144x144",
-			"type": "image/png"
-		},
-		{
-			"src": "images/manifest/168x168.png",
-			"sizes": "168x168",
-			"type": "image/png"
-		},
-		{
-			"src": "images/manifest/192x192.png",
-			"sizes": "192x192",
-			"type": "image/png"
-		}
-	]
-}

web/lib/miniPaint-4.14.2/package.json

@@ -1,51 +0,0 @@
-{
-  "name": "miniPaint",
-  "version": "4.14.2",
-  "author": "Vilius L.",
-  "description": "Online graphics editing tool lets create, edit images using HTML5 technologies.",
-  "keywords": [
-    "canvas",
-    "drawing",
-    "paint",
-    "layers",
-    "effects"
-  ],
-  "scripts": {
-    "server": "webpack serve --mode development --env development --open",
-    "dev": "webpack --mode development",
-    "build": "webpack --mode production"
-  },
-  "repository": {
-    "type": "git",
-    "url": "https://github.com/viliusle/miniPaint"
-  },
-  "homepage": "https://github.com/viliusle/miniPaint",
-  "license": "MIT",
-  "devDependencies": {
-    "@babel/core": "^7.14.5",
-    "@babel/plugin-transform-runtime": "^7.14.5",
-    "@babel/preset-env": "^7.14.5",
-    "babel-loader": "^8.2.2",
-    "css-loader": "^5.2.6",
-    "source-map-loader": "^3.0.0",
-    "style-loader": "^2.0.0",
-    "webpack": "^5.76.0",
-    "webpack-cli": "^4.7.2",
-    "webpack-dev-server": "^4.3.1"
-  },
-  "dependencies": {
-    "@babel/runtime": "^7.14.5",
-    "alertifyjs": "^1.13.1",
-    "blueimp-canvas-to-blob": "^3.28.0",
-    "exif-js": "^2.3.0",
-    "file-saver": "^2.0.5",
-    "fuzzysort": "^1.1.4",
-    "gif.js.optimized": "^1.0.1",
-    "hermite-resize": "git+https://github.com/viliusle/Hermite-resize.git",
-    "jquery": "^3.5.1",
-    "pica": "^7.0.0",
-    "semver-compare": "^1.0.0",
-    "uuid": "^8.3.2",
-    "webfontloader": "^1.6.28"
-  }
-}

web/lib/miniPaint-4.14.2/service-worker.js

@@ -1,68 +0,0 @@
-
-//IMPORTANT - this file is not used !!!
-
-
-// use a cacheName for cache versioning
-var cacheName = 'v1:static';
-
-// during the install phase you usually want to cache static assets
-self.addEventListener('install', function(e) {
-	// once the SW is installed, go ahead and fetch the resources to make this work offline
-	e.waitUntil(
-		caches.open(cacheName).then(function(cache) {
-			return cache.addAll([
-				'./',
-				'./dist/bundle.js',
-				'./images/favicon.png',
-				'./images/logo.svg',
-				'./images/logo-colors.png',
-				'./images/icons/animation.svg',
-				'./images/icons/blur.svg',
-				'./images/icons/bold.svg',
-				'./images/icons/brush.svg',
-				'./images/icons/bulge_pinch.svg',
-				'./images/icons/clone.svg',
-				'./images/icons/crop.svg',
-				'./images/icons/delete.svg',
-				'./images/icons/desaturate.svg',
-				'./images/icons/erase.svg',
-				'./images/icons/external.png',
-				'./images/icons/fill.svg',
-				'./images/icons/gradient.png',
-				'./images/icons/grid.png',
-				'./images/icons/italic.svg',
-				'./images/icons/magic_erase.svg',
-				'./images/icons/media.svg',
-				'./images/icons/menu.svg',
-				'./images/icons/pencil.svg',
-				'./images/icons/pick_color.svg',
-				'./images/icons/refresh.svg',
-				'./images/icons/select.svg',
-				'./images/icons/selection.svg',
-				'./images/icons/shape.svg',
-				'./images/icons/sharpen.svg',
-				'./images/icons/strikethrough.svg',
-				'./images/icons/text.svg',
-				'./images/icons/underline.svg',
-				'./images/icons/view.svg'
-			]).then(function() {
-				self.skipWaiting();
-			});
-		})
-	);
-});
-
-// when the browser fetches a url
-self.addEventListener('fetch', function(event) {
-	// either respond with the cached object or go ahead and fetch the actual url
-	event.respondWith(
-		caches.match(event.request).then(function(response) {
-			if (response) {
-				// retrieve from cache
-				return response;
-			}
-			// fetch as normal
-			return fetch(event.request);
-		})
-	);
-});

web/lib/miniPaint-4.14.2/webpack.config.js

@@ -1,56 +0,0 @@
-var webpack = require('webpack');
-var path = require('path');
-
-module.exports = {
-	entry: [
-		'./src/js/main.js',
-	],
-	output: {
-		path: path.resolve(__dirname, 'dist'),
-		filename: 'bundle.js',
-		publicPath: '/dist/'
-	},
-	resolve: {
-		extensions: ['.js', '.css'],
-		alias: {
-			Utilities: path.resolve(__dirname, './../node_modules/')
-		}
-	},
-	module: {
-		rules: [
-			{
-				test: /\.css$/,
-				use: [
-					'style-loader',
-					{
-						loader: 'css-loader',
-						options: {url: false}
-					}
-				]
-			},
-			{
-				test: /\.js$/,
-				exclude: /(node_modules|bower_components)/,
-				use: ['babel-loader']
-			},
-		]
-	},
-	plugins: [
-		new webpack.ProvidePlugin({
-            $: "jquery",
-            jQuery: "jquery",
-            "window.jQuery": "jquery"
-		}),
-		new webpack.DefinePlugin({
-			VERSION: JSON.stringify(require("./package.json").version)
-		}),
-	],
-	devtool: "cheap-module-source-map",
-	devServer: {
-		// host: '0.0.0.0',
-		//contentBase: "./",
-		static: {
-			directory: path.resolve(__dirname, "./"),
-		},
-	}
-};