v0.28.2

Add Github Action for Publishing to Comfy Registry

.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 }}

__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,

nodes/RembgNode.py

@@ -476,6 +476,24 @@ 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)
@@ -509,7 +527,7 @@ except:
     _available=False
 
 
-def briarmbg_run(images=[]):
+def run_briarmbg(images=[]):
     mroot=os.path.join(folder_paths.models_dir, "rembg")
     m=os.path.join(mroot,'briarmbg.pth')
     if os.path.exists(m)==False:
@@ -573,14 +591,15 @@ 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 +639,9 @@ 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 +663,7 @@ 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 +691,9 @@ 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/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 = "0.28.1"
+license = "MIT"
+dependencies = ["numpy", "pyOpenSSL", "watchdog", "opencv-python-headless", "matplotlib", "openai", "simple-lama-inpainting", "clip-interrogator==0.6.0", "transformers>=4.36.0", "lark-parser", "imageio-ffmpeg", "rembg[gpu]", "omegaconf==2.3.0", "Pillow>=9.5.0", "einops==0.7.0", "trimesh>=4.0.5", "huggingface-hub", "scikit-image"]
+
+[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

@@ -247,7 +247,7 @@
 
         .card textarea {
             width: 100%;
-            height:'fit-content';
+            height: 'fit-content';
             /* min-width: 300px; */
             margin-top: 12px;
             resize: none;
@@ -474,15 +474,14 @@
             <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 +679,89 @@
         }
 
 
+        // 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 +770,139 @@
             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 +916,7 @@
                     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 +930,7 @@
                     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 +956,15 @@
                     // // 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 +972,22 @@
                     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 +995,34 @@
                 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)
                 }
-
             }
 
         }
@@ -1297,8 +1471,9 @@
 
                             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 +1482,14 @@
                                 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 +1791,9 @@
                                 //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 +1803,17 @@
                                     // 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;
                                     }
 

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 = 'v0.27.1'
+const version = 'v0.28.2'
 
 fetch(`https://api.github.com/repos/${repoOwner}/${repoName}/releases/latest`)
   .then(response => response.json())

web/javascript/ui_mixlab.js

@@ -46,7 +46,7 @@ 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 +539,6 @@ injectCSS(`::-webkit-scrollbar {
   border-left: 2px solid var(--input-text); 
 }
  
-.litegraph{
-  background: var(--bg-color)!important;
-}
-
 `)
 
 async function getCustomnodeMappings (mode = 'url') {
@@ -1361,7 +1357,7 @@ 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)

web/lib/miniPaint-4.14.2/index.html

@@ -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>