v0.29.0 支持把输出显示到comfyui背景（TouchDesigner 风格）

appinfo add performance features
Appinfo supports outputting to the background, enhancing the performance features of ComfyUI.
2024-06-08 16:58:21 +08:00 · 2024-06-08 16:03:10 +08:00 · 2024-06-06 15:17:40 +08:00 · 2024-06-06 08:02:51 +08:00 · 2024-06-01 23:21:33 +08:00 · 2024-05-29 22:37:52 +08:00
72 changed files with 4577 additions and 342 deletions
@@ -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 }}
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2024 shadow
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
@@ -1,8 +1,29 @@
-> 适配了最新版comfyui的py3.11 ，torch 2.1.2+cu121
+![](https://img.shields.io/github/release/shadowcz007/comfyui-mixlab-nodes)
+
+> 适配了最新版 comfyui 的 py3.11 ，torch 2.1.2+cu121
 > [Mixlab nodes discord](https://discord.gg/cXs9vZSqeK)

+
+##### `最新`：
+
+ChatGPT 节点支持 Local LLM（llama.cpp），Phi3、llama3 都可以直接一个节点运行了。模型下载后，放置到 `models/llamafile/`
+
+- 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-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
+
+![](./assets/prompt_ai_setup.png)
+![](./assets/prompt-ai.png)
+
+
 #### `相关插件推荐`
-[comfyui-sd-prompt-mixlab](https://github.com/shadowcz007/comfyui-sd-prompt-mixlab)
+
+<!-- [comfyui-sd-prompt-mixlab](https://github.com/shadowcz007/comfyui-sd-prompt-mixlab) -->

 [comfyui-Image-reward](https://github.com/shadowcz007/comfyui-Image-reward)

@@ -12,27 +33,14 @@

 <!-- [comfyui-CLIPSeg](https://github.com/shadowcz007/comfyui-CLIPSeg) -->

-##### `最新`：
-ChatGPT节点支持 Local LLM（llama.cpp），Phi3、llama3 都可以直接一个节点运行了。
+## 🚀🚗🚚🏃 Workflow-to-APP

-Model download,move to :```models/llamafile/```
-
-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)
-
-
-> 右键菜单支持 text-to-text，方便对prompt词补全
-![](./assets/prompt_ai_setup.png)
-![](./assets/prompt-ai.png)
-
-
-## 🚀🚗🚚🏃 Workflow-to-APP 
- 新增AppInfo节点，可以通过简单的配置，把workflow转变为一个Web APP。
- 支持多个web app 切换
- 发布为app的workflow，可以在右键里再次编辑了
- web app可以设置分类，在comfyui右键菜单可以编辑更新web app
+- 新增 AppInfo 节点，可以通过简单的配置，把 workflow 转变为一个 Web APP。
+- 支持多个 web app 切换
+- 发布为 app 的 workflow，可以在右键里再次编辑了
+- web app 可以设置分类，在 comfyui 右键菜单可以编辑更新 web app
 - 支持动态提示
+- 支持把输出显示到comfyui背景（TouchDesigner 风格）

 ![](./assets/微信图片_20240421205440.png)

@@ -41,7 +49,6 @@ Model download,move to :```models/llamafile/```
 - The workflow, which is now released as an app, can also be edited again by right-clicking.
 - The web app can be configured with categories, and the web app can be edited and updated in the right-click menu of ComfyUI.

-
 ![](./assets/0-m-app.png)

 ![](./assets/appinfo-readme.png)
@@ -49,66 +56,67 @@ Model download,move to :```models/llamafile/```
 ![](./assets/appinfo-2.png)

 Example:
+
 - workflow
-![APP info](./workflow/appinfo-workflow.svg)
-[text-to-image](./workflow/Text-to-Image-app.json)
+  ![APP info](./workflow/appinfo-workflow.svg)
+  [text-to-image](./workflow/Text-to-Image-app.json)

 APP-JSON:
+
 - [text-to-image](./example/Text-to-Image_3.json)
 - [image-to-image](./example/Image-to-Image_2.json)
 - text-to-text

-> 暂时支持 9 种节点作为界面上的输入节点：Load Image、VHS_LoadVideo、CLIPTextEncode、PromptSlide、TextInput_、Color、FloatSlider、IntNumber、CheckpointLoaderSimple、LoraLoader
+> 暂时支持 9 种节点作为界面上的输入节点：Load Image、VHS*LoadVideo、CLIPTextEncode、PromptSlide、TextInput*、Color、FloatSlider、IntNumber、CheckpointLoaderSimple、LoraLoader

 > 输出节点：PreviewImage 、SaveImage、ShowTextForGPT、VHS_VideoCombine、PromptImage

-> seed统一输入控件，支持：SamplerCustom、KSampler
+> seed 统一输入控件，支持：SamplerCustom、KSampler

-> 配套[ps插件](https://github.com/shadowcz007/comfyui-ps-plugin)
+> 配套[ps 插件](https://github.com/shadowcz007/comfyui-ps-plugin)

-> 如果遇到上传图片不成功，请检查下：局域网或者是云服务，请使用https，端口8189这个服务（ 感谢 @Damien 反馈问题）
+> 如果遇到上传图片不成功，请检查下：局域网或者是云服务，请使用 https，端口 8189 这个服务（ 感谢 @Damien 反馈问题）

 > If you encounter difficulties in uploading images, please check the following: for local network or cloud services, please use HTTPS and the service on port 8189. (Thanks to @Damien for reporting the issue.)

+## 🏃🚗🚚🚀 Real-time Design

-
-## 🏃🚗🚚🚀  Real-time Design
 > ScreenShareNode & FloatingVideoNode. Now comfyui supports capturing screen pixel streams from any software and can be used for LCM-Lora integration. Let's get started with implementation and design! 💻🌐

 ![screenshare](./assets/screenshare.png)

 https://github.com/shadowcz007/comfyui-mixlab-nodes/assets/12645064/e7e77f90-e43e-410a-ab3a-1952b7b4e7da

-
 <!-- [ScreenShareNode](./workflow/2-screeshare.json) -->
+
 [ScreenShareNode & FloatingVideoNode](./workflow/3-FloatVideo-workflow.json)

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

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

 [Voice + Real-time Face Swap Workflow](./workflow/语音+实时换脸workflow.json)

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

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

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

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

-最新：ChatGPT节点支持 Local LLM（llama.cpp），Phi3、llama3 都可以直接一个节点运行了。
-
-Model download,move to :```models/llamafile/```
+Model download,move to :`models/llamafile/`

 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)

-
 > 如果碰到安装失败，可以尝试手动安装
+
 ```
 ../../../python_embeded/python.exe -s -m pip install llama-cpp-python --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cu121

@@ -116,20 +124,23 @@ Model download,move to :```models/llamafile/```

 ```

-> [Mac](https://llama-cpp-python.readthedocs.io/en/latest/install/macos/) 
+> [Mac](https://llama-cpp-python.readthedocs.io/en/latest/install/macos/)
+
 ```
 pip uninstall llama-cpp-python -y
 CMAKE_ARGS="-DLLAMA_METAL=on" pip install -U llama-cpp-python --no-cache-dir
 pip install 'llama-cpp-python[server]'
 ```
+
 ```
 pip install llama-cpp-python \
  --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/metal
 ```

 ## Prompt
+
 > PromptSlide
-![](./assets/prompt_weight.png)
+> ![](./assets/prompt_weight.png)

 <!-- ![](./workflow/promptslide-appinfo-workflow.svg) -->

@@ -143,20 +154,20 @@ pip install llama-cpp-python \

 > PromptImage & PromptSimplification,Assist in simplifying prompt words, comparing images and prompt word nodes.

-> ChinesePrompt && PromptGenerate，中文prompt节点，直接用中文书写你的prompt
+> ChinesePrompt && PromptGenerate，中文 prompt 节点，直接用中文书写你的 prompt

 ![](./assets/ChinesePrompt_workflow.svg)

-
 ### Layers
+
 > A new layer class node has been added, allowing you to separate the image into layers. After merging the images, you can input the controlnet for further processing.

 ![layers](./assets/layers-workflow.svg)

 ![poster](./assets/poster-workflow.svg)

-
 ### 3D
+
 ![](./assets/3d-workflow.png)
 ![](./assets/3d_app.png)
 [workflow](./assets/Image-to-3D_1.json)
@@ -164,44 +175,44 @@ pip install llama-cpp-python \
 ![](./assets/3dimage.png)
 [workflow](./workflow/3D-workflow.json)

-
 ### Image

 #### LoadImagesToBatch
-> Upload multiple images for batch input into the IP adapter. 
+
+> Upload multiple images for batch input into the IP adapter.

 #### LoadImagesFromLocal
-> Monitor changes to images in a local folder, and trigger real-time execution of workflows, supporting common image formats, especially PSD format, in conjunction with Photoshop. 
+
+> Monitor changes to images in a local folder, and trigger real-time execution of workflows, supporting common image formats, especially PSD format, in conjunction with Photoshop.

 ![watch](./assets/4-loadfromlocal-watcher-workflow.svg)

 [workflow-4](./workflow/4-loadfromlocal-watcher-workflow.json)

 #### LoadImagesFromURL
+
 > Conveniently load images from a fixed address on the internet to ensure that default images in the workflow can be executed.

-
 ### Style
-> Apply VisualStyle Prompting , Modified from [ComfyUI_VisualStylePrompting](https://github.com/ExponentialML/ComfyUI_VisualStylePrompting) 
+
+> Apply VisualStyle Prompting , Modified from [ComfyUI_VisualStylePrompting](https://github.com/ExponentialML/ComfyUI_VisualStylePrompting)

 ![](./assets/VisualStylePrompting.png)

-> StyleAligned , Modified from [style_aligned_comfy](https://github.com/brianfitzgerald/style_aligned_comfy) 
-
+> StyleAligned , Modified from [style_aligned_comfy](https://github.com/brianfitzgerald/style_aligned_comfy)

 ### Utils
+
 > The Color node provides a color picker for easy color selection, the Font node offers built-in font selection for use with TextImage to generate text images, and the DynamicDelayByText node allows delayed execution based on the length of the input text.

- [添加了DynamicDelayByText功能，可以根据输入文本的长度进行延迟执行。](./workflow/audio-chatgpt-workflow.json)
+- [添加了 DynamicDelayByText 功能，可以根据输入文本的长度进行延迟执行。](./workflow/audio-chatgpt-workflow.json)

 - [Added DynamicDelayByText, enabling delayed execution based on input text length.](./workflow/audio-chatgpt-workflow.json)

- [使用CkptNames 对比不同的模型效果](./workflow/ckpts-image-workflow.json)
+- [使用 CkptNames 对比不同的模型效果](./workflow/ckpts-image-workflow.json)

 - [CkptNames compare the effects of different models.](./workflow/ckpts-image-workflow.json)

-
-
 ### Other Nodes

 ![main](./assets/all-workflow.svg)
@@ -209,33 +220,27 @@ pip install llama-cpp-python \

 [workflow-1](./workflow/1-workflow.json)

-
-
 > TransparentImage

 ![TransparentImage](./assets/TransparentImage.png)

-
 > FeatheredMask、SmoothMask

 Add edges to an image.

 ![FeatheredMask](./assets/FlVou_Y6kaGWYoEj1Tn0aTd4AjMI.jpg)

-
 > LaMaInpainting

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

-
 > rembgNode

 "briarmbg","u2net","u2netp","u2net_human_seg","u2net_cloth_seg","silueta","isnet-general-use","isnet-anime"

-*** briarmbg ***  model was developed by BRlA Al and can be used as an open-source model for non-commercial purposes
+**_ briarmbg _** model was developed by BRlA Al and can be used as an open-source model for non-commercial purposes

-
-### Improvement 
+### Improvement

 - Add "help" option to the context menu for each node.
 - Add "Nodes Map" option to the global context menu.
@@ -246,23 +251,21 @@ An improvement has been made to directly redirect to GitHub to search for missin

 ![node-not-found](./assets/node-not-found.png)

-
 ### Models

-* [Download TripoSR](https://huggingface.co/stabilityai/TripoSR/blob/main/model.ckpt) and place it in ```models/triposr```
+- [Download TripoSR](https://huggingface.co/stabilityai/TripoSR/blob/main/model.ckpt) and place it in `models/triposr`

-* [Download facebook/dino-vitb16](https://huggingface.co/facebook/dino-vitb16/tree/main)  and place it in ```models/triposr/facebook/dino-vitb16```
+- [Download facebook/dino-vitb16](https://huggingface.co/facebook/dino-vitb16/tree/main) and place it in `models/triposr/facebook/dino-vitb16`

+[Download rembg Models](https://github.com/danielgatis/rembg/tree/main#Models),move to:`models/rembg`

-[Download rembg Models](https://github.com/danielgatis/rembg/tree/main#Models),move to:```models/rembg```
+[Download lama](https://github.com/enesmsahin/simple-lama-inpainting/releases/download/v0.1.0/big-lama.pt), move to : `models/lama`

-[Download lama](https://github.com/enesmsahin/simple-lama-inpainting/releases/download/v0.1.0/big-lama.pt), move to : ```models/lama```
+[Download Salesforce/blip-image-captioning-base](https://huggingface.co/Salesforce/blip-image-captioning-base), move to :`models/clip_interrogator/Salesforce/blip-image-captioning-base`

-[Download Salesforce/blip-image-captioning-base](https://huggingface.co/Salesforce/blip-image-captioning-base), move to :```models/clip_interrogator/Salesforce/blip-image-captioning-base```
+[Download succinctly/text2image-prompt-generator](https://huggingface.co/succinctly/text2image-prompt-generator/tree/main),move to:`models/prompt_generator/text2image-prompt-generator`

-[Download succinctly/text2image-prompt-generator](https://huggingface.co/succinctly/text2image-prompt-generator/tree/main),move to:```models/prompt_generator/text2image-prompt-generator```
-
-[Download Helsinki-NLP/opus-mt-zh-en](https://huggingface.co/Helsinki-NLP/opus-mt-zh-en/tree/main),move to:```models/prompt_generator/opus-mt-zh-en```
+[Download Helsinki-NLP/opus-mt-zh-en](https://huggingface.co/Helsinki-NLP/opus-mt-zh-en/tree/main),move to:`models/prompt_generator/opus-mt-zh-en`

 ## Installation

@@ -278,40 +281,35 @@ git clone https://github.com/shadowcz007/comfyui-mixlab-nodes.git
 Install the requirements:

 run directly:
+
 ```
 cd ComfyUI/custom_nodes/comfyui-mixlab-nodes
 install.bat
 ```

 or install the requirements using:
+
 ```
 ../../../python_embeded/python.exe -s -m pip install -r requirements.txt
 ```

 If you are using a venv, make sure you have it activated before installation and use:
+
 ```
 pip3 install -r requirements.txt
 ```

-
-
-
-
 #### Chinese community
-访问 [www.mixcomfy.com](https://www.mixcomfy.com)，获得更多内测功能，关注微信公众号：Mixlab无界社区

+访问 [www.mixcomfy.com](https://www.mixcomfy.com)，获得更多内测功能，关注微信公众号：Mixlab 无界社区

+####

-
-#### 
 File / LoadImagesFromPath SaveImageToLocal LoadImagesFromURL

-
-
-
 #### discussions:
-[discussions](https://github.com/shadowcz007/comfyui-mixlab-nodes/discussions)

+[discussions](https://github.com/shadowcz007/comfyui-mixlab-nodes/discussions)

 <picture>
  <source
@@ -331,4 +329,3 @@ File / LoadImagesFromPath SaveImageToLocal LoadImagesFromURL
    src="https://api.star-history.com/svg?repos=shadowcz007/comfyui-mixlab-nodes&type=Date"
  />
 </picture>
-
@@ -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

@@ -20,6 +22,7 @@ except:

 llama_port=None
 llama_model=""
+llama_chat_format=""

 try:
    from .nodes.ChatGPT import get_llama_models,get_llama_model_path,llama_cpp_client
@@ -29,6 +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:
@@ -97,6 +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()
@@ -628,10 +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()
@@ -651,9 +719,9 @@ async def post_prompt_result(request):


 async def start_local_llm(data):
-    global llama_port,llama_model
-    if llama_port and llama_model:
-        return {"port":llama_port,"model":llama_model}
+    global llama_port,llama_model,llama_chat_format
+    if llama_port and llama_model and llama_chat_format:
+        return {"port":llama_port,"model":llama_model,"chat_format":llama_chat_format}

    import threading
    import uvicorn
@@ -671,7 +739,29 @@ async def start_local_llm(data):

    elif "model" in data:
        model=get_llama_model_path(data['model'])
+
+    n_gpu_layers=-1
+
+    if "n_gpu_layers" in data:
+        n_gpu_layers=data['n_gpu_layers']
+
+
+    chat_format="chatml"
+
+    model_alias=os.path.basename(model)
+
+    # 多模态
+    clip_model_path=None
    
+    prefix = "llava-phi-3-mini"
+    file_name = prefix+"-mmproj-"
+    if model_alias.startswith(prefix):
+        for file in os.listdir(os.path.dirname(model)):
+            if file.startswith(file_name):
+                clip_model_path=os.path.join(os.path.dirname(model),file)
+                chat_format='llava-1-5'
+    print('#clip_model_path',chat_format,clip_model_path)
+

    address="127.0.0.1"
    port=9090
@@ -688,14 +778,19 @@ 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,
-                    n_gpu_layers=-1,
+                    model_alias=name,
+                    n_gpu_layers=n_gpu_layers,
                    n_ctx=4098,
-                    chat_format="chatml"
+                    chat_format=chat_format,
+                    embedding=False,
+                    clip_model_path=clip_model_path
                    )])

    def run_uvicorn():
@@ -715,37 +810,39 @@ async def start_local_llm(data):

    llama_port=port
    llama_model=data['model']
+    llama_chat_format=chat_format

-    return  {"port":llama_port,"model":llama_model}
+    return  {"port":llama_port,"model":llama_model,"chat_format":llama_chat_format}

 # llam服务的开启
@routes.post('/mixlab/start_llama')
 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)

-# parser.add_argument("--llm-model", type=str, help="Path to Model file (gguf). Run the Local LLM by MixlabNodes")
-# if args.llm_model and os.path.exists(args.llm_model):
-#     start_local_llm({
-#         "model_path":args.llm_model
-#     })
-#     print("Local LLM Start")
-
+# 重启服务
+@routes.post('/mixlab/re_start')
+def re_start(request):
+    try:
+        sys.stdout.close_log()
+    except Exception as e:
+        pass
+    return os.execv(sys.executable, [sys.executable] + sys.argv)



 # 导入节点
 from .nodes.PromptNode import GLIGENTextBoxApply_Advanced,EmbeddingPrompt,RandomPrompt,PromptSlide,PromptSimplification,PromptImage,JoinWithDelimiter
-from .nodes.ImageNode import LoadImages_,CompositeImages,GridDisplayAndSave,GridInput,ImagesPrompt,SaveImageAndMetadata,SaveImageToLocal,SplitImage,GridOutput,GetImageSize_,MirroredImage,ImageColorTransfer,NoiseImage,TransparentImage,GradientImage,LoadImagesFromPath,LoadImagesFromURL,ResizeImage,TextImage,SvgImage,Image3D,ShowLayer,NewLayer,MergeLayers,CenterImage,AreaToMask,SmoothMask,SplitLongMask,ImageCropByAlpha,EnhanceImage,FaceToMask
+from .nodes.ImageNode import ComparingTwoFrames,LoadImages_,CompositeImages,GridDisplayAndSave,GridInput,ImagesPrompt,SaveImageAndMetadata,SaveImageToLocal,SplitImage,GridOutput,GetImageSize_,MirroredImage,ImageColorTransfer,NoiseImage,TransparentImage,GradientImage,LoadImagesFromPath,LoadImagesFromURL,ResizeImage,TextImage,SvgImage,Image3D,ShowLayer,NewLayer,MergeLayers,CenterImage,AreaToMask,SmoothMask,SplitLongMask,ImageCropByAlpha,EnhanceImage,FaceToMask
 # from .nodes.Vae import VAELoader,VAEDecode
 from .nodes.ScreenShareNode import ScreenShareNode,FloatingVideo

@@ -806,6 +903,7 @@ NODE_CLASS_MAPPINGS = {
    # "VAELoaderConsistencyDecoder":VAELoader,
    "SaveImageToLocal":SaveImageToLocal,
    "SaveImageAndMetadata_":SaveImageAndMetadata,
+    "ComparingTwoFrames_":ComparingTwoFrames,
    # "VAEDecodeConsistencyDecoder":VAEDecode,
    "ScreenShare":ScreenShareNode,
    "FloatingVideo":FloatingVideo,
@@ -860,6 +958,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
    "IntNumber":"Int Input ♾️MixlabApp",
    "ImagesPrompt_":"Images Input ♾️MixlabApp",
    "SaveImageAndMetadata_":"Save Image Output ♾️MixlabApp",
+    "ComparingTwoFrames_":"Comparing Two Frames ♾️MixlabApp",
    "ResizeImageMixlab":"Resize Image ♾️Mixlab",
    "RandomPrompt": "Random Prompt ♾️Mixlab",
    "PromptImage":"Output Prompt and Image ♾️Mixlab",
@@ -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"
        }
    ]
-}
+}
@@ -2983,6 +2983,65 @@ class SaveImageAndMetadata:

        return { "ui": { "images": results } }

+class ComparingTwoFrames:
+    def __init__(self):
+        self.output_dir = folder_paths.get_output_directory()
+        self.type = "output"
+        self.prefix_append = "ComparingTwoFrames"
+        self.compress_level = 4
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": 
+                    {"before_image": ("IMAGE", ),
+                    "after_image": ("IMAGE", )
+                     }, 
+                }
+
+    RETURN_TYPES = ()
+    FUNCTION = "comparingImages"
+
+    OUTPUT_NODE = True
+
+    CATEGORY = "♾️Mixlab/Output"
+
+    def comparingImages(self, before_image,after_image):
+        filename_prefix = self.prefix_append
+        full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(
+            filename_prefix, self.output_dir, after_image[0].shape[1], after_image[0].shape[0])
+        
+        bresults = list()
+        
+        for bimage in before_image:
+            i = 255. * bimage.cpu().numpy()
+            img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
+         
+            file = f"{filename}_{counter:05}_.png"
+            img.save(os.path.join(full_output_folder, file), pnginfo=None, compress_level=self.compress_level)
+            bresults.append({
+                "filename": file,
+                "subfolder": subfolder,
+                "type": self.type
+            })
+            counter += 1
+
+
+        results = list()
+        for aimage in after_image:
+            i = 255. * aimage.cpu().numpy()
+            img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
+         
+            file = f"{filename}_{counter:05}_.png"
+            img.save(os.path.join(full_output_folder, file), pnginfo=None, compress_level=self.compress_level)
+            results.append({
+                "filename": file,
+                "subfolder": subfolder,
+                "type": self.type
+            })
+            counter += 1
+
+        return { "ui": { "after_images": results,"before_images":bresults } }
+
 class ImageColorTransfer:
    @classmethod
    def INPUT_TYPES(s):
@@ -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]

@@ -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
@@ -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
@@ -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",),
@@ -0,0 +1,10 @@
+{
+    "main_pass":
+    [
+        "-n", "-c:v", "libsvtav1",
+        "-pix_fmt", "yuv420p10le",
+        "-crf", "23"
+    ],
+     "extension": "webm",
+     "environment": {"SVT_LOG": "1"}
+}
@@ -0,0 +1,9 @@
+{
+    "main_pass":
+    [
+        "-n", "-c:v", "libx264",
+        "-pix_fmt", "yuv420p",
+        "-crf", "19"
+    ],
+     "extension": "mp4"
+}
@@ -0,0 +1,11 @@
+{
+    "main_pass":
+    [
+        "-n", "-c:v", "libx265",
+        "-pix_fmt", "yuv420p10le",
+        "-preset", "medium",
+        "-crf", "22",
+        "-x265-params", "log-level=quiet"
+    ],
+     "extension": "mp4"
+}
@@ -0,0 +1,9 @@
+{
+    "main_pass":
+    [
+        "-n",
+        "-pix_fmt", "yuv420p",
+        "-crf", "23"
+    ],
+     "extension": "webm"
+}
@@ -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 = ""
@@ -24,6 +24,7 @@
            margin-left: 5%;
            user-select: none;
            margin-top: 32px;
+            margin-bottom: 120px;
        }

        .apps {
@@ -65,9 +66,9 @@
            box-shadow: 0px 0px 10px 10px #fbe9f0
        }

-        .card:hover {
+        /* .card:hover {
            box-shadow: 0px 0px 10px 10px #e9fbfa
-        }
+        } */

        .card h5 {
            font-size: 14px;
@@ -145,15 +146,6 @@
            margin-top: 4px;
        }

-        .status {
-            background: black;
-            color: white;
-            display: flex;
-            width: fit-content;
-            padding: 4px;
-            font-size: 12px;
-
-        }

        .description {
            display: flex;
@@ -247,7 +239,7 @@

        .card textarea {
            width: 100%;
-            height:'fit-content';
+            height: 'fit-content';
            /* min-width: 300px; */
            margin-top: 12px;
            resize: none;
@@ -263,18 +255,44 @@
            margin-top: 12px;
        }

+        .run_div {
+            position: fixed;
+            bottom: 28px;
+            display: flex;
+            left: 144px;
+            z-index: 100;
+            /* align-items: center; */
+            /* justify-content: space-around; */
+            /* width: calc(50% - 100px); */
+            flex-direction: column;
+            background-color: #f7f7f7;
+            box-shadow: 3px 3px 8px #cacaca;
+            border-radius: 8px;
+        }
+
+        .status {
+            /* background: #e7e7e7; */
+            color: black;
+            display: flex;
+            width: 120px;
+            padding-left: 11px;
+            font-size: 12px;
+            border-radius: 8px;
+            justify-content: flex-start;
+            align-items: center;
+            height: 48px;
+        }
+
        .run_btn {
            background: black;
            color: white;
-            width: 88px;
-            height: 88px;
-            position: fixed;
-            bottom: 72px;
-            left: calc(50% - 44px);
-            border-radius: 100%;
+            /* width: calc(50% - 100px); */
+            min-width: 200px;
+            max-width: 460px;
+            height: 48px;
+            border-radius: 8px;
            cursor: pointer;
            border: 3px solid;
-            z-index: 100;
        }

        button:hover {
@@ -434,7 +452,7 @@
            /* 角落颜色 */
        }

-/* 
+        /* 
        .dynamic_prompt::after {
            content: attr(title);
            position: absolute;
@@ -452,14 +470,17 @@
    <link href="/extensions/comfyui-mixlab-nodes/lib/photoswipe.min.css" rel="stylesheet">
    <link href="/extensions/comfyui-mixlab-nodes/lib/classic.min.css" rel="stylesheet">
    <script src="/extensions/comfyui-mixlab-nodes/lib/pickr.min.js"></script>
-    <script src="/extensions/comfyui-mixlab-nodes/lib/filerobot-image-editor.min.js"></script>
+    <!-- <script src="/extensions/comfyui-mixlab-nodes/lib/filerobot-image-editor.min.js"></script> -->
    <script type="module" src="/extensions/comfyui-mixlab-nodes/lib/model-viewer.min.js"></script>
    <link rel="stylesheet" href="/extensions/comfyui-mixlab-nodes/lib/login.css">
 </head>

 <body>

-    <div id="editor_container"></div>
+    <div id="editor_container">
+        <iframe style="width:100%; height:100vh;" id="miniPaint"
+            src="/extensions/comfyui-mixlab-nodes/lib/miniPaint-4.14.2/index.html" allow="camera"></iframe>
+    </div>
    <div class="header">
        <div id="logo" style="margin: 0 24px;
            margin-bottom: 24px;
@@ -471,15 +492,14 @@
            <a class="link" href="https://www.mixcomfy.com" target="_blank">ComfyUI中文爱好者社区推荐</a>
        </div>

-        <a target="_blank" id="login_btn" href="https://www.mixcomfy.com/blog/" style="text-decoration: none;
+        <a id="login_btn" target="_blank" href="https://discord.gg/xbP2GZF6gn" style="text-decoration: none;
        color: black;font-size:12px">
            <svg height="32" aria-hidden="true" viewBox="0 0 16 16" version="1.1" width="32" data-view-component="true"
                class="octicon octicon-mark-github v-align-middle color-fg-default">
                <path
                    d="M8 0c4.42 0 8 3.58 8 8a8.013 8.013 0 0 1-5.45 7.59c-.4.08-.55-.17-.55-.38 0-.27.01-1.13.01-2.2 0-.75-.25-1.23-.54-1.48 1.78-.2 3.65-.88 3.65-3.95 0-.88-.31-1.59-.82-2.15.08-.2.36-1.02-.08-2.12 0 0-.67-.22-2.2.82-.64-.18-1.32-.27-2-.27-.68 0-1.36.09-2 .27-1.53-1.03-2.2-.82-2.2-.82-.44 1.1-.16 1.92-.08 2.12-.51.56-.82 1.28-.82 2.15 0 3.06 1.86 3.75 3.64 3.95-.23.2-.44.55-.51 1.07-.46.21-1.61.55-2.33-.66-.15-.24-.6-.83-1.23-.82-.67.01-.27.38.01.53.34.19.73.9.82 1.13.16.45.68 1.31 2.69.94 0 .67.01 1.3.01 1.49 0 .21-.15.45-.55.38A7.995 7.995 0 0 1 0 8c0-4.42 3.58-8 8-8Z">
                </path>
-            </svg> Community</a>
-
+            </svg> HELP/帮助</a>

    </div>
    <a id="author"></a>
@@ -557,6 +577,42 @@

        };

+        async function uploadMask(arrayBuffer, imgurl) {
+            const body = new FormData()
+            const filename = 'clipspace-mask-' + performance.now() + '.png'
+
+            let original_url = new URL(imgurl)
+
+            const original_ref = { filename: original_url.searchParams.get('filename') }
+
+            let original_subfolder = original_url.searchParams.get('subfolder')
+            if (original_subfolder) original_ref.subfolder = original_subfolder
+
+            let original_type = original_url.searchParams.get('type')
+            if (original_type) original_ref.type = original_type
+
+            body.append('image', arrayBuffer, filename)
+            body.append('original_ref', JSON.stringify(original_ref))
+            body.append('type', 'input')
+            body.append('subfolder', 'clipspace')
+
+            const url = get_url()
+
+            const resp = await fetch(`${url}/upload/mask`, {
+                method: 'POST',
+                body
+            })
+
+            // console.log(resp)
+            let data = await resp.json()
+            let { name, subfolder, type } = data
+            let src = `${url}/view?filename=${encodeURIComponent(
+                name
+            )}&type=${type}&subfolder=${subfolder}&rand=${Math.random()}`
+
+            return { url: src, name: 'clipspace/' + name }
+        }
+

        const parseImageToBase64 = url => {
            return new Promise((res, rej) => {
@@ -641,125 +697,351 @@
        }


-        function editImage(img, data) {
+        // 获取 rembg 模型
+        async function get_rembg_models() {
+            try {
+                const response = await fetch(`${get_url()}/mixlab/folder_paths`, {
+                    method: 'POST',
+                    headers: {
+                        'Content-Type': 'application/json'
+                    },
+                    body: JSON.stringify({
+                        type: 'rembg'
+                    })
+                })

+                const data = await response.json()
+                // console.log(data)
+                return data.names
+            } catch (error) {
+                console.error(error)
+            }
+        }

-            const update = async () => {
-                const { imageData } = filerobotImageEditor.getCurrentImgData()
-                let base64 = imageData.imageBase64;
+        //自动抠图
+        async function run_rembg(model, base64) {
+            try {
+                const response = await fetch(`${get_url()}/mixlab/rembg`, {
+                    method: 'POST',
+                    headers: {
+                        'Content-Type': 'application/json'
+                    },
+                    body: JSON.stringify({
+                        model,
+                        base64
+                    })
+                })

-                let fileBlob = base64ToBlob(base64)
-                // // 获取读取的文件内容，即 Blob 对象
-                let hashId = await calculateImageHash(fileBlob)
+                const data = await response.json()
+                // console.log(data)
+                return data.data
+            } catch (error) {
+                console.error(error)
+            }
+        }

-                if (hashId == window._appData.data[data.id].hashId) return
+        function convertImageToBlackBasedOnAlpha(image) {
+            const canvas = document.createElement('canvas');
+            const ctx = canvas.getContext('2d');

-                let { url, name } = await uploadImage(fileBlob);
-                // 在这里可以对 Blob 对象进行进一步处理
-                // imageElement.src = url;
-                window._appData.data[data.id].inputs.image = name;
-                window._appData.data[data.id].hashId = hashId;
+            // Draw the image onto the canvas
+            canvas.width = image.width;
+            canvas.height = image.height;
+            ctx.drawImage(image, 0, 0);

-                console.log("上传的文件：", url, data.id, name);
+            // Get the image data from the canvas
+            const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
+            const pixels = imageData.data;

-                img.src = base64;
+            // Modify the RGB values based on the alpha channel
+            for (let i = 0; i < pixels.length; i += 4) {
+                const alpha = pixels[i + 3];
+                if (alpha !== 0) {
+                    // Set non-transparent pixels to black
+                    pixels[i] = 0; // Red
+                    pixels[i + 1] = 0; // Green
+                    pixels[i + 2] = 0; // Blue
+                }
            }

-            const { TABS, TOOLS } = FilerobotImageEditor;
-            const config = {
-                source: img.src,
-                // loadableDesignState:{ //默认值
-                //     annotations:{
-                //         watermark:{
-                //             image:'https://127.0.0.1:8189/view?filename=1703554480406.png&type=input&subfolder=&rand=0.044164708320141965',
-                //             width:100,
-                //             height:200,
-                //             x:10,
-                //             y:50,
-                //             name: "Image",
-                //             id:'watermark'
-                //         }
-                //     }
-                // },
-                // annotationsCommon: {
-                //     fill: '#ff0000',
-                // },
-                // Text: { text: 'Filerobot...' },
-                Rotate: { angle: 90, componentType: 'slider' },
+            // Put the modified image data back onto the canvas
+            ctx.putImageData(imageData, 0, 0);

-                Crop: {
-                    presetsItems: [
-                        {
-                            titleKey: 'classicTv',
-                            descriptionKey: '4:3',
-                            ratio: 4 / 3,
-                            // icon: CropClassicTv,  
-                        },
-                        {
-                            titleKey: 'cinemascope',
-                            descriptionKey: '21:9',
-                            ratio: 21 / 9,
-                            // icon: CropCinemaScope, 
-                        },
-                    ],
-                    presetsFolders: [
-                        {
-                            titleKey: 'socialMedia', // will be translated into Social Media as backend contains this translation key
-                            // icon: Social, // optional,  
-                            groups: [
-                                {
-                                    titleKey: 'facebook',
-                                    items: [
-                                        {
-                                            titleKey: 'profile',
-                                            width: 180,
-                                            height: 180,
-                                            descriptionKey: 'fbProfileSize',
-                                        },
-                                        {
-                                            titleKey: 'coverPhoto',
-                                            width: 820,
-                                            height: 312,
-                                            descriptionKey: 'fbCoverPhotoSize',
-                                        },
-                                    ],
-                                },
-                            ],
-                        },
-                    ],
-                },
-                tabsIds: [...Object.values(TABS)], // or ['Adjust', 'Annotate', 'Watermark']
-                defaultTabId: TABS.WATERMARK, // or 'Annotate'
-                defaultToolId: TOOLS.WATERMARK, // or 'Text'
-                closeAfterSave: true
-            };
+            // Convert the modified canvas to base64 data URL
+            const base64ImageData = canvas.toDataURL('image/png'); // Replace 'png' with your desired image format
+
+            return base64ImageData;
+        }
+
+
+
+        // 图像编辑
+        async function editImage(image, data) {
+            //判断mask是否有输出
+            let isMask = data.options.hasMask;
+
+            //app
+            document.body.querySelector('.app').style.display = 'none'
+            document.body.querySelector('#author').style.display = 'none'

            let editor = document.querySelector('#editor_container')
-            // Assuming we have a div with id="editor_container"
            editor.style.display = 'block';
-            // console.log(img,editor,data)
-            document.body.style.overflow = 'hidden'
+            const iframe = editor.querySelector('iframe');

-            const filerobotImageEditor = new FilerobotImageEditor(
-                editor,
-                config,
-            );
+            const sleep = (t = 1000) => {
+                return new Promise((res, rej) => {
+                    setTimeout(() => {
+                        res(true)
+                    }, t)
+                })
+            }

-            filerobotImageEditor.render({
-                onSave: (editedImageObject, designState) => {
-                    console.log('saved', designState)
-                    //adjustments
-                    update()
-                },
-                onClose: (closingReason) => {
-                    console.log('Closing reason', closingReason);
+            //清空 图层
+            const removeAllLayer = () => {
+                let Layers = iframe.contentWindow.Layers;
+                //清空
+                Layers.reset_layers()
+                Layers.refresh_gui()
+            }

-                    filerobotImageEditor.terminate();
-                    editor.style.display = 'none'
-                    document.body.style.overflow = 'auto'
+            // 复原
+            const resetLayer = () => {
+                let Layers = iframe.contentWindow.Layers;
+                for (const layer of Layers.get_layers()) {
+                    layer.visible = true;
+                }
+                Layers.refresh_gui()
+            }
+            //取image
+            const getImageBase64FromLayer = () => {
+                let Layers = iframe.contentWindow.Layers;
+                let tempCanvas = document.createElement("canvas");
+                let tempCtx = tempCanvas.getContext("2d");
+                let dim = Layers.get_dimensions();
+                tempCanvas.width = dim.width;
+                tempCanvas.height = dim.height;
+                for (const layer of Layers.get_layers()) {
+                    if (layer.name === 'Image_' + data.id) {
+                        layer.visible = true;
+                    } else {
+                        layer.visible = false;
+                    }
+                }
+                Layers.refresh_gui()

-                },
-            });
+                Layers.convert_layers_to_canvas(tempCtx);
+                return tempCanvas.toDataURL()
+            }
+
+            //add mask
+            const addMask = (id, name, image) => {
+                let Layers = iframe.contentWindow.Layers;
+                var new_mask_layer = {
+                    id,
+                    name,
+                    type: 'brush',
+                    data: [],
+                    render_function: ['brush', 'render'],
+                    width: image.naturalWidth || image.width,
+                    height: image.naturalHeight || image.height,
+
+                };
+                Layers.insert(new_mask_layer);
+            }
+
+            //add image
+            const addImage = (id, name, image) => {
+                let Layers = iframe.contentWindow.Layers;
+                var new_mask_layer = {
+                    id,
+                    name,
+                    type: 'image',
+                    data: image,
+                    width: image.naturalWidth || image.width,
+                    height: image.naturalHeight || image.height,
+                    width_original: image.naturalWidth || image.width,
+                    height_original: image.naturalHeight || image.height,
+                };
+                Layers.insert(new_mask_layer);
+            }
+
+            //默认的画笔size设置大
+            // let inputSize = (iframe.contentDocument.getElementById('size')).querySelector('input');
+            // inputSize.value=50;
+            // (iframe.contentDocument.getElementById('size')).querySelector('.increase_number').click()
+
+            //自动抠图
+            let autoMaskSelect = iframe.contentDocument.getElementById('automask_image_mixlab');
+            const select = iframe.contentDocument.getElementById('automask_models_mixlab');
+            if (select.children.length === 0) {
+                let rembgModels = await get_rembg_models()
+                // 遍历模型列表并创建选项
+                for (const model of rembgModels) {
+                    const option = document.createElement('option');
+                    option.value = model;
+                    option.textContent = model;
+                    select.appendChild(option);
+                }
+            }
+
+            let autoMaskBtn = iframe.contentDocument.getElementById('automask_image_mixlab');
+            if (!autoMaskBtn.getAttribute('init')) autoMaskBtn.addEventListener('click', async e => {
+                //api请求
+                let base64 = getImageBase64FromLayer()
+                resetLayer()
+
+                let res = await run_rembg(select.value, base64)
+                const match = res.match(/^data:image\/(\w+);base64,/);
+                if (!match) {
+                    res = 'data:image/png;base64,' + res
+                }
+
+                let image = await createImage(res)
+
+                let mb = convertImageToBlackBasedOnAlpha(image)
+                let mask = await createImage(mb)
+                let id = Layers.auto_increment;
+                addImage(id, 'Mask_' + data.id + id, mask)
+            })
+
+            autoMaskBtn.setAttribute('init', 1)
+            let cancelImageBtn = iframe.contentDocument.getElementById('cancel_image_mixlab');
+            if (!cancelImageBtn.getAttribute('init')) cancelImageBtn.addEventListener('click', e => {
+                editor.style.display = 'none';
+                document.body.querySelector('.app').style.display = 'flex'
+                document.body.querySelector('#author').style.display = 'block'
+            })
+
+            cancelImageBtn.setAttribute('init', 1)
+            // 获取 id 为 "mix" 的 button 元素
+            let saveImageBtn = iframe.contentDocument.getElementById('save_image_mixlab');
+            saveImageBtn.style = `width: 98px;
+            height: 36px;
+            margin: 0 12px;
+            background-color: var(--background-color-active);
+            color: var(--text-color-active);`
+            if (!saveImageBtn.getAttribute('init')) saveImageBtn.addEventListener('click', async e => {
+                //保存，并更新图片
+                e.preventDefault();
+
+                //image的合成，排除mask和brush
+                if (isMask) {
+
+                    let Layers = iframe.contentWindow.Layers;
+                    let tempCanvas = document.createElement("canvas");
+                    let tempCtx = tempCanvas.getContext("2d");
+                    let dim = Layers.get_dimensions();
+                    tempCanvas.width = dim.width;
+                    tempCanvas.height = dim.height;
+
+                    //todo 获取Image更新后的数据(暂不支持image的修改)
+
+                    for (const layer of Layers.get_layers()) {
+                        if (layer.name !== 'Image_' + data.id) {
+                            layer.visible = true;
+                        } else {
+                            layer.visible = false;
+                        }
+                    }
+                    Layers.refresh_gui()
+
+                    Layers.convert_layers_to_canvas(tempCtx);
+
+                    // 复原
+                    resetLayer()
+
+                    // 获取图像数据
+                    const imageData = tempCtx.getImageData(0, 0, dim.width, dim.height);
+                    const imageDataData = imageData.data;
+
+                    // 反相图像数据
+                    for (let i = 0; i < imageDataData.length; i += 4) {
+                        // imageDataData[i] = 255 - imageDataData[i];
+                        // imageDataData[i + 1] = 255 - imageDataData[i + 1];
+                        // imageDataData[i + 2] = 255 - imageDataData[i + 2];
+                        imageDataData[i + 3] = 255 - imageDataData[i + 3]; // 反相透明度
+                    }
+
+                    // 更新画布
+                    tempCtx.putImageData(imageData, 0, 0);
+
+
+                    let base64 = tempCanvas.toDataURL();
+                    // console.log(base64);
+                    editor.style.display = 'none';
+
+                    let fileBlob = base64ToBlob(base64)
+                    // // 获取读取的文件内容，即 Blob 对象
+                    let hashId = await calculateImageHash(fileBlob)
+
+                    if (hashId == window._appData.data[data.id].hashId) {
+                        document.body.querySelector('.app').style.display = 'flex'
+                        document.body.querySelector('#author').style.display = 'block'
+                        return;
+                    }
+
+                    //底图
+                    const { url: imgurl } = await uploadImage(base64ToBlob(data.options.defaultImage))
+                    //mask
+                    let { url, name } = await uploadMask(fileBlob, imgurl);
+                    // 在这里可以对 Blob 对象进行进一步处理
+                    // imageElement.src = url;
+                    window._appData.data[data.id].inputs.image = name;
+                    window._appData.data[data.id].hashId = hashId;
+
+                    // console.log("上传的文件：", url, data.id, name);
+                    //更新图片
+                    const canvas = document.createElement("canvas");
+                    canvas.width = dim.width;
+                    canvas.height = dim.height;
+
+                    const ctx = canvas.getContext('2d');
+
+                    const defaultImage = await createImage(data.options.defaultImage)
+                    ctx.drawImage(defaultImage, 0, 0, dim.width, dim.height);
+
+                    // 绘制base64图片
+                    // const base64Image = base64
+                    const base64ImageObj = await createImage(base64)
+                    ctx.globalCompositeOperation = 'destination-in';
+                    ctx.drawImage(base64ImageObj, 0, 0, dim.width, dim.height);
+                    image.src = canvas.toDataURL();
+
+                }
+
+                document.body.querySelector('.app').style.display = 'flex'
+                document.body.querySelector('#author').style.display = 'block'
+            })
+
+            saveImageBtn.setAttribute('init', 1)
+
+            var Layers = iframe.contentWindow.Layers;
+            // console.log(Layers)
+
+            //判断是否已经存在
+            let layers1 = Layers.get_layers();
+
+            //通过layer.link.src 判断是否图片更新
+            console.log(layers1.filter(l => l.name == 'Image_' + data.id)[0]?.link?.currentSrc !== data.options.defaultImage)
+            if (layers1.filter(l => l.name == 'Image_' + data.id)[0]
+                && layers1.filter(l => l.name == 'Image_' + data.id)[0].link.src !== data.options.defaultImage) {
+                //清空图层
+                removeAllLayer();
+                layers1 = [];
+                await sleep()
+            }
+
+            let im = await createImage(data.options.defaultImage)
+            // console.log(layers1, layers1.length)
+            if (!layers1.filter(l => l.name == 'Image_' + data.id)[0]) {
+                addImage(0, 'Image_' + data.id, im)
+            }
+
+            if (isMask) {
+                if (!layers1.filter(l => l.name == 'Mask_' + data.id)[0]) {
+                    addMask(1, 'Mask_' + data.id, im)
+                }
+            }

        }

@@ -951,7 +1233,7 @@
        }


-        function createOutputs(outputData, link) {
+        async function createOutputs(outputData, link) {
            const url = new URL(window.location.href);
            const params = new URLSearchParams(url.search);
            const innerApp = params.get("innerApp");
@@ -1072,20 +1354,21 @@
                    "TransparentImage"].includes(node.class_type)) {

                    const url = node.options?.defaultImage || window._appData?.icon || base64Df;
-                    let a = document.createElement('a');
+                    let a = document.createElement('div');
                    a.id = `output_${node.id}`
-                    a.setAttribute('data-pswp-width', "200");
-                    a.setAttribute('data-pswp-height', "200");
-                    a.setAttribute('target', "_blank");
-                    a.setAttribute('href', url);
-                    a.setAttribute('title', node.title);

-                    let img = new Image();
-                    // img;
-                    img.src = url;
+                    let img = await createImage(url)
+
                    a.appendChild(img)
+                    // a.setAttribute('data-pswp-width', img.naturalWidth);
+                    // a.setAttribute('data-pswp-height', img.naturalHeight);
+                    // a.setAttribute('target', "_blank");
+                    // a.setAttribute('href', url);
+                    // a.setAttribute('title', node.title);
+
                    output_card.appendChild(a);
                    isShowImageFn = true;
+
                }

                //3d 
@@ -1207,8 +1490,9 @@

                            if (hashId == window._appData.data[data.id].hashId) return

+                            let base64 = await blobToBase64(fileBlob)
+
                            if (data.class_type === 'LoadImagesToBatch') {
-                                let base64 = await blobToBase64(fileBlob)
                                createBase64ImageForLoadImageToBatch(imageElement, data.id, base64)
                            } else {
                                let { url, name } = await uploadImage(fileBlob);
@@ -1217,6 +1501,14 @@
                                window._appData.data[data.id].inputs.image = name;
                                window._appData.data[data.id].hashId = hashId;
                                console.log("上传的文件：", url, data.id, name);
+
+                                //更换option里的default image
+                                window._appData.input = Array.from(window._appData.input, inp => {
+                                    if (inp.id === data.id) {
+                                        inp.options.defaultImage = base64;
+                                    }
+                                    return inp
+                                })
                            }
                        }
                    }
@@ -1486,7 +1778,8 @@

                    if (!isVideoUpload) btnFromClipboard.addEventListener('click', (event) => handleClipboardImage(imageElement, data));

-                    if (!isVideoUpload && !isBase64Upload) btnForImageEdit.addEventListener('click', e => editImage(imageElement, data))
+                    // 只有mask有输出，才有编辑功能
+                    if (!isVideoUpload && !isBase64Upload && data.options.hasMask) btnForImageEdit.addEventListener('click', e => editImage(imageElement, data))


                    uploadImageInput.addEventListener('click', (event) => {
@@ -1517,9 +1810,9 @@
                                //上传，返回url
                                let { url, name } = await uploadImage(fileBlob, '.' + file.type.split('/')[1])

+                                let base64 = await parseImageToBase64(url);
+
                                if (data.class_type === 'ImagesPrompt_') {
-                                    // 
-                                    let base64 = await parseImageToBase64(url);
                                    uploadContainer.querySelector('.images_prompt_main').src = base64
                                    window._appData.data[data.id].inputs.image_base64 = base64;
                                } else {
@@ -1529,10 +1822,17 @@
                                    // 在这里可以对 Blob 对象进行进一步处理
                                    imageElement.src = url;

-
                                    if (isVideoUpload) {
                                        window._appData.data[data.id].inputs.video = name;
                                    } else {
+                                        //更换option里的default image
+                                        window._appData.input = Array.from(window._appData.input, inp => {
+                                            if (inp.id === data.id) {
+                                                inp.options.defaultImage = base64;
+                                            }
+                                            return inp
+                                        })
+
                                        window._appData.data[data.id].inputs.image = name;
                                    }

@@ -2116,7 +2416,7 @@
            })
        }

-        function createUI(data, share = true) {
+        async function createUI(data, share = true) {
            // appData.input, appData.output, appData.seed, share, appData.link
            if (!data) return
            const { input: inputData, output: outputData, data: workflow, seed, seedTitle, link, name } = data;
@@ -2257,30 +2557,44 @@
            }


-            statusDiv.appendChild(status);
+            // statusDiv.appendChild(status);
            statusDiv.appendChild(seeds);

            // 创建输入框
            var input1 = createInputs(inputData)

-            var output = createOutputs(outputData, link)
+            var output = await createOutputs(outputData, link)

            // 创建提交按钮
+            let submitDiv = document.createElement('div');
+            submitDiv.appendChild(statusDiv);
+
+            let submitDivBtn = document.createElement('div');
+            submitDivBtn.style.display = 'flex'
+            submitDiv.appendChild(submitDivBtn);
+
+            submitDivBtn.appendChild(status);
+
+            submitDiv.className = 'run_div';
            var submitButton = document.createElement('button');
            submitButton.textContent = 'Create';
            submitButton.className = 'run_btn'

            // 将所有UI元素添加到页面中
-            leftDiv.appendChild(titleDiv);
-            leftDiv.appendChild(iconDes);
+            // leftDiv.appendChild(titleDiv);
+            // leftDiv.appendChild(iconDes);
            // leftDiv.appendChild(des);
-            leftDiv.appendChild(statusDiv);
+            // leftDiv.appendChild(statusDiv);
            leftDiv.appendChild(input1);

-            if (typeof (data.data) == 'object') mainDiv.appendChild(submitButton);
+            submitDivBtn.appendChild(submitButton);
+            if (typeof (data.data) == 'object') mainDiv.appendChild(submitDiv);

            rightDiv.appendChild(output);

+            // mainDiv.appendChild(titleDiv);
+            // mainDiv.appendChild(iconDes);
+
            mainDiv.appendChild(leftDetails);
            mainDiv.appendChild(rightDiv);

@@ -2628,7 +2942,7 @@
        async function createApp(appData, share = true) {
            // console.log(appData)
            // 使用示例：
-            var ui = createUI(appData, share);
+            var ui = await createUI(appData, share);

            // 更新标题
            ui.title.update(appData.name || 'Mixlab APP');
@@ -2768,7 +3082,8 @@
            const lightbox = new PhotoSwipeLightbox({
                gallery: '.output_card',
                children: 'a',
-                pswpModule: () => import('/extensions/comfyui-mixlab-nodes/lib/photoswipe.esm.min.js')
+                pswpModule: () => import('/extensions/comfyui-mixlab-nodes/lib/photoswipe.esm.min.js'),
+                // appendToEl: document.querySelector('#result')
            });
            lightbox.on('uiRegister', function () {
                lightbox.pswp.ui.registerElement({
@@ -2813,8 +3128,8 @@
            if (appData.author) {
                let div = document.body.querySelector('#author');
                if (appData.author.link) div.href = appData.author.link
-                div.style = `z-index:20;display: flex;flex-direction: column;position: fixed;bottom: 12px;right: 24px;cursor: pointer;text-decoration: none;color: black;`
-                div.innerHTML = `<p style="font-size:12px">Author:</p>
+                div.style = `z-index:20;display: flex;flex-direction: column;position: fixed;bottom: 24px;left: 24px;cursor: pointer;text-decoration: none;color: black;`
+                div.innerHTML = `<p style="font-size:12px;margin: 8px 0;">Author:</p>
                <div style="display: flex;"> <img style="width:32px;height:32px;border-radius: 100%;" 
                src="${appData.author.avatar || base64Df}"/>
                <p style="margin-left:8px;font-size:12px;font-weight:800">${appData.author.name || '-'}</p></div>`
@@ -2,6 +2,8 @@ import { app } from '../../../scripts/app.js'
 import { $el } from '../../../scripts/ui.js'
 import { api } from '../../../scripts/api.js'

+import { td_bg } from './td_background.js'
+console.log('td_bg', td_bg)
 //本机安装的插件节点全集
 window._nodesAll = null

@@ -70,7 +72,8 @@ function get_position_style (ctx, widget_width, y, node_height) {
    display: 'flex',
    flexDirection: 'column',
    // alignItems: 'center',
-    justifyContent: 'flex-start'
+    justifyContent: 'flex-start',
+    zIndex: 9999999
  }
 }

@@ -192,7 +195,7 @@ async function extractInputAndOutputData (
            options.hasMask = true
          }
          // loadImage的默认图，转为base64
-          let imgurl = app.graph.getNodeById(id).imgs[0].src
+          let imgurl = app.graph.getNodeById(id).imgs[0].src + '&channel=rgb'

          options.defaultImage = await drawImageToCanvas(imgurl, 512)
          console.log('#loadImage的默认图', options)
@@ -502,6 +505,22 @@ app.registerExtension({
          }
        })

+        //td bg
+        const tdBG = document.createElement('button')
+        tdBG.innerText = 'TDBG'
+        tdBG.style = style
+        tdBG.style.marginLeft = '12px'
+
+        tdBG.addEventListener('click', () => {
+          td_bg.toggle();
+          if(td_bg.running){
+            tdBG.style.background = 'yellow'
+          }else{
+            tdBG.style.background = 'transparent'
+          }
+
+        })
+
        // author
        let author = document.createElement('div')
        // author.style=`display: flex`
@@ -658,6 +677,7 @@ app.registerExtension({

        btns.appendChild(btn)
        btns.appendChild(download)
+        btns.appendChild(tdBG)

        document.body.appendChild(widget.div)
        this.addCustomWidget(widget)
@@ -686,9 +706,8 @@ app.registerExtension({
          }

          const div = this.widgets.filter(w => w.div)[0].div
-          Array.from(
-            div.querySelectorAll('button'),
-            b => (b.style.background = 'yellow')
+          Array.from(div.querySelectorAll('button'), b =>
+            b.innerText != 'TDBG' ? (b.style.background = 'yellow') : ''
          )
        } catch (error) {}
      }
@@ -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) {
@@ -36,7 +36,6 @@ async function* completion (url, messages, controller) {
        break
      }

-     
      // Add any leftover data to the current chunk of data
      const text = leftover + decoder.decode(result.value)

@@ -64,14 +63,14 @@ async function* completion (url, messages, controller) {
          if (result.data) {
            result.data = JSON.parse(result.data)
            // console.log('#result.data',result.data)
-            
-            content += result.data.choices[0].delta?.content||''
+
+            content += result.data.choices[0].delta?.content || ''

            // yield
            yield result

            // if we got a stop token from server, we will break here
-            if (result.data.choices[0].finish_reason=="stop") {
+            if (result.data.choices[0].finish_reason == 'stop') {
              if (result.data.generation_settings) {
                // generation_settings = result.data.generation_settings;
              }
@@ -96,11 +95,10 @@ async function* completion (url, messages, controller) {
 export async function completion_ (url, messages, controller, callback) {
  let request = await completion(url, messages, controller)
  for await (const chunk of request) {
-    
-    let content=chunk.data.choices[0].delta.content||""
-    if(chunk.data.choices[0].role=="assistant"){
+    let content = chunk.data.choices[0].delta.content || ''
+    if (chunk.data.choices[0].role == 'assistant') {
      //开始
-      content=""
+      content = ''
    }

    if (callback) callback(content)
@@ -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 = 'v0.25.1'
+const version = 'v0.29.0'

 fetch(`https://api.github.com/repos/${repoOwner}/${repoName}/releases/latest`)
  .then(response => response.json())
@@ -705,7 +705,9 @@ app.registerExtension({

  async beforeRegisterNodeDef (nodeType, nodeData, app) {
    if (nodeType.comfyClass == 'LoadImagesToBatch') {
+
      const orig_nodeCreated = nodeType.prototype.onNodeCreated
+
      nodeType.prototype.onNodeCreated = function () {
        orig_nodeCreated?.apply(this, arguments)

@@ -841,3 +843,150 @@ app.registerExtension({
    }
  }
 })
+
+// 如何引入css
+app.registerExtension({
+  name: 'Mixlab.output.ComparingTwoFrames_',
+  init () {
+    $el('link', {
+      rel: 'stylesheet',
+      href: '/extensions/comfyui-mixlab-nodes/lib/juxtapose.css',
+      parent: document.head
+    })
+
+    $el('style', {
+      textContent: `
+      .juxtapose-name{
+        display: none!important; 
+      }
+			`,
+      parent: document.body
+    })
+  },
+  async beforeRegisterNodeDef (nodeType, nodeData, app) {
+    if (nodeType.comfyClass == 'ComparingTwoFrames_') {
+      const onNodeCreated = nodeType.prototype.onNodeCreated
+      nodeType.prototype.onNodeCreated = function () {
+        const r = onNodeCreated
+        ? onNodeCreated.apply(this, arguments)
+        : undefined
+
+        this.size = [400, this.size[1]]
+        console.log('##onNodeCreated', this)
+        const widget = {
+          type: 'div',
+          name: 'preview',
+          draw (ctx, node, widget_width, y, widget_height) {
+            Object.assign(
+              this.div.style,
+              get_position_style(ctx, 400, 44, node.size[1])
+            )
+          },
+          serialize: false
+        }
+
+        widget.div = $el('div', {})
+
+        document.body.appendChild(widget.div)
+        this.addCustomWidget(widget)
+        this.serialize_widgets = true //需要保存参数
+
+
+        const onRemoved = this.onRemoved
+        this.onRemoved = () => {
+          widget.div.remove()
+          return onRemoved?.()
+        }
+
+
+       return r
+
+      }
+
+     
+
+      const onExecuted = nodeType.prototype.onExecuted
+      nodeType.prototype.onExecuted = function (message) {
+        onExecuted?.apply(this, arguments)
+        console.log('##onExecuted', this, message)
+
+        this.widgets[0].div.id = 'mix_comparingtowframes_' + this.id
+
+        let after_image = message.after_images[0]
+        let before_image = message.before_images[0]
+
+        after_image = `${window.location.protocol}//${
+          window.location.hostname
+        }:${window.location.port}/view?filename=${encodeURIComponent(
+          after_image.filename
+        )}&type=${after_image.type}&subfolder=${encodeURIComponent(
+          after_image.subfolder
+        )}&t=${+new Date()}`
+
+        before_image = `${window.location.protocol}//${
+          window.location.hostname
+        }:${window.location.port}/view?filename=${encodeURIComponent(
+          before_image.filename
+        )}&type=${before_image.type}&subfolder=${encodeURIComponent(
+          before_image.subfolder
+        )}&t=${+new Date()}`
+
+        this.widgets[0].div.innerHTML = ''
+
+        let slider = new juxtapose.JXSlider(
+          '#mix_comparingtowframes_' + this.id,
+          [
+            {
+              src: before_image,
+              label: 'Before'
+            },
+            {
+              src: after_image,
+              label: 'After'
+            }
+          ],
+          {
+            animate: true,
+            showLabels: true,
+            showCredits: false,
+            startingPosition: '50%',
+            makeResponsive: false
+          }
+        )
+
+        this.widgets_values = [
+          {
+            src: before_image,
+            label: 'Before'
+          },
+          {
+            src: after_image,
+            label: 'After'
+          }
+        ]
+        this.size=[this.size[0],300]
+      }
+    }
+  },
+  async loadedGraphNode (node, app) {
+    // console.log('##loadedGraphNode', node)
+    if (node.type === 'ComparingTwoFrames_') {
+      // node.widgets[0].div.id = 'mix_comparingtowframes_' + node.id
+      // if (node.widgets_values && node.widgets_values[0]) {
+      //   node.widgets[0].div.innerHTML = ''
+
+      //   let slider = new juxtapose.JXSlider(
+      //     '#mix_comparingtowframes_' + node.id,
+      //     node.widgets_values,
+      //     {
+      //       animate: true,
+      //       showLabels: true,
+      //       showCredits: false,
+      //       startingPosition: '50%',
+      //       makeResponsive: false
+      //     }
+      //   )
+      // }
+    }
+  }
+})
@@ -0,0 +1,323 @@
+// touchdesigner的背景效果，把appinfo的输出，选择一张图片作为背景
+
+window._bg_img = null
+
+/**
+ * draws the back canvas (the one containing the background and the connections)
+ * @method drawBackCanvas
+ **/
+LGraphCanvas.prototype.drawBackCanvas = function () {
+  var canvas = this.bgcanvas
+  if (
+    canvas.width != this.canvas.width ||
+    canvas.height != this.canvas.height
+  ) {
+    canvas.width = this.canvas.width
+    canvas.height = this.canvas.height
+  }
+
+  if (!this.bgctx) {
+    this.bgctx = this.bgcanvas.getContext('2d')
+  }
+  var ctx = this.bgctx
+  if (ctx.start) {
+    ctx.start()
+  }
+
+  var viewport = this.viewport || [0, 0, ctx.canvas.width, ctx.canvas.height]
+
+  //clear
+  if (this.clear_background) {
+    ctx.clearRect(viewport[0], viewport[1], viewport[2], viewport[3])
+  }
+
+  //show subgraph stack header
+  if (this._graph_stack && this._graph_stack.length) {
+    ctx.save()
+    var parent_graph = this._graph_stack[this._graph_stack.length - 1]
+    var subgraph_node = this.graph._subgraph_node
+    ctx.strokeStyle = subgraph_node.bgcolor
+    ctx.lineWidth = 10
+    ctx.strokeRect(1, 1, canvas.width - 2, canvas.height - 2)
+    ctx.lineWidth = 1
+    ctx.font = '40px Arial'
+    ctx.textAlign = 'center'
+    ctx.fillStyle = subgraph_node.bgcolor || '#AAA'
+    var title = ''
+    for (var i = 1; i < this._graph_stack.length; ++i) {
+      title += this._graph_stack[i]._subgraph_node.getTitle() + ' >> '
+    }
+    ctx.fillText(title + subgraph_node.getTitle(), canvas.width * 0.5, 40)
+    ctx.restore()
+  }
+
+  var bg_already_painted = false
+  if (this.onRenderBackground) {
+    bg_already_painted = this.onRenderBackground(canvas, ctx)
+  }
+
+  //reset in case of error
+  if (!this.viewport) {
+    ctx.restore()
+    ctx.setTransform(1, 0, 0, 1, 0, 0)
+  }
+  this.visible_links.length = 0
+
+  if (this.graph) {
+    //apply transformations
+    ctx.save()
+    this.ds.toCanvasContext(ctx)
+
+    //render BG
+    if (
+      this.ds.scale < 1 &&
+      !bg_already_painted &&
+      this.clear_background_color
+    ) {
+      ctx.fillStyle = this.clear_background_color
+      ctx.fillRect(
+        this.visible_area[0],
+        this.visible_area[1],
+        this.visible_area[2],
+        this.visible_area[3]
+      )
+    }
+
+    // 主要修改
+    if (this.background_image && this.ds.scale > 0.5 && !bg_already_painted) {
+      if (this.zoom_modify_alpha) {
+        //使得 alpha 越接近0时变化越缓慢。
+        let alpha = (1.0 - 0.5 / this.ds.scale) * this.editor_alpha
+        ctx.globalAlpha = Math.min(Math.max(0, Math.sqrt(alpha)), 1)
+        // console.log((1.0 - 0.5 / this.ds.scale) * this.editor_alpha)
+      } else {
+        ctx.globalAlpha = this.editor_alpha
+      }
+      ctx.imageSmoothingEnabled = ctx.imageSmoothingEnabled = false // ctx.mozImageSmoothingEnabled =
+      if (!this._bg_img || this._bg_img.name != this.background_image) {
+        this._bg_img = new Image()
+        this._bg_img.name = this.background_image
+        this._bg_img.src = this.background_image
+        var that = this
+        this._bg_img.onload = function () {
+          that.draw(true, true)
+        }
+      }
+
+      var pattern = null
+      if (this._pattern == null && this._bg_img.width > 0) {
+        pattern = ctx.createPattern(this._bg_img, 'repeat')
+        this._pattern_img = this._bg_img
+        this._pattern = pattern
+      } else {
+        pattern = this._pattern
+      }
+
+      if (pattern) {
+        ctx.fillStyle = pattern
+        ctx.fillRect(
+          this.visible_area[0],
+          this.visible_area[1],
+          this.visible_area[2],
+          this.visible_area[3]
+        )
+        ctx.fillStyle = 'transparent'
+      }
+
+      ctx.globalAlpha = 1.0
+      ctx.imageSmoothingEnabled = ctx.imageSmoothingEnabled = true //= ctx.mozImageSmoothingEnabled
+    }
+
+    //groups
+    if (this.graph._groups.length && !this.live_mode) {
+      this.drawGroups(canvas, ctx)
+    }
+
+    if (this.onDrawBackground) {
+      this.onDrawBackground(ctx, this.visible_area)
+    }
+    if (this.onBackgroundRender) {
+      //LEGACY
+      console.error(
+        'WARNING! onBackgroundRender deprecated, now is named onDrawBackground '
+      )
+      this.onBackgroundRender = null
+    }
+
+    //DEBUG: show clipping area
+    //ctx.fillStyle = "red";
+    //ctx.fillRect( this.visible_area[0] + 10, this.visible_area[1] + 10, this.visible_area[2] - 20, this.visible_area[3] - 20);
+
+    //bg
+    if (this.render_canvas_border) {
+      ctx.strokeStyle = '#235'
+      ctx.strokeRect(0, 0, canvas.width, canvas.height)
+    }
+
+    if (this.render_connections_shadows) {
+      ctx.shadowColor = '#000'
+      ctx.shadowOffsetX = 0
+      ctx.shadowOffsetY = 0
+      ctx.shadowBlur = 6
+    } else {
+      ctx.shadowColor = 'rgba(0,0,0,0)'
+    }
+
+    //draw connections
+    if (!this.live_mode) {
+      this.drawConnections(ctx)
+    }
+
+    ctx.shadowColor = 'rgba(0,0,0,0)'
+
+    //restore state
+    ctx.restore()
+  }
+
+  if (ctx.finish) {
+    ctx.finish()
+  }
+
+  this.dirty_bgcanvas = false
+  this.dirty_canvas = true //to force to repaint the front canvas with the bgcanvas
+}
+
+function imgToCanvasBase64 (img) {
+  const canvas = document.createElement('canvas')
+  const ctx = canvas.getContext('2d')
+  canvas.width = img.width
+  canvas.height = img.height
+  ctx.drawImage(img, 0, 0)
+  const base64 = canvas.toDataURL('image/png')
+
+  return base64
+}
+
+// 使用示例
+function convertImageToBase64 (img) {
+  //   const img = new Image()
+  //   img.src = 'path/to/your/image.jpg' // 替换为你的图片路径
+  // console.log('convertImageToBase64',img)
+  try {
+    const base64 = imgToCanvasBase64(img)
+    return base64
+  } catch (error) {
+    console.error(error)
+  }
+}
+
+function getInputsAndOutputs () {
+  const outputs =
+    `PreviewImage,SaveImage,TransparentImage,VHS_VideoCombine,VideoCombine_Adv,Image Save,SaveImageAndMetadata_`.split(
+      ','
+    )
+
+  let outputsId = []
+
+  for (let node of app.graph._nodes) {
+    if (outputs.includes(node.type)) {
+      outputsId.push(node.id)
+    }
+  }
+
+  return outputsId
+}
+
+function getRandomElement (arr) {
+  const randomIndex = Math.floor(Math.random() * arr.length)
+  return arr[randomIndex]
+}
+
+async function getBG () {
+  var outputs = []
+
+  for (let id of app.graph
+    .getNodeById(50)
+    .widgets.filter(w => w.name === 'output_ids')[0]
+    .value.split('\n')) {
+    if (getInputsAndOutputs().map(Number).includes(Number(id))) {
+      if (app.graph.getNodeById(id).imgs && app.graph.getNodeById(id).imgs[0]) {
+        let b = convertImageToBase64(app.graph.getNodeById(id).imgs[0])
+        // console.log(b)
+        outputs.push(b)
+      }
+    }
+  }
+
+  var BACKGROUND_IMAGE = getRandomElement(outputs),
+    CLEAR_BACKGROUND_COLOR = 'rgba(0,0,0,0.9)'
+
+  if (!window._bg_img) {
+    window._bg_img = app.canvas._bg_img.src
+  }
+  // let img=new Image();
+  // img.src=BACKGROUND_IMAGE;
+
+  //去掉透明度过度
+  // app.canvas.zoom_modify_alpha=false;
+  //整体透明度
+  app.canvas.editor_alpha = 1.1
+  //   app.canvas._pattern=ctx.createPattern(img, "no-repeat");
+  app.canvas.updateBackground(BACKGROUND_IMAGE, CLEAR_BACKGROUND_COLOR)
+  app.canvas.draw(true, true)
+}
+
+class BgRunner {
+  constructor () {
+    this.intervalId = null
+    this.running = false
+  }
+
+  // 要运行的方法
+  bg () {
+    console.log('方法bg正在运行')
+    getBG()
+  }
+
+  // 启动bg方法每秒运行一次
+  start () {
+    if (!this.running) {
+      this.intervalId = setInterval(() => this.bg(), 1500)
+      this.running = true
+    }
+  }
+
+  // 停止bg方法的运行
+  stop () {
+    if (this.running) {
+      clearInterval(this.intervalId)
+      this.intervalId = null
+      this.running = false
+
+      if (window._bg_img) {
+        var BACKGROUND_IMAGE = window._bg_img,
+          CLEAR_BACKGROUND_COLOR = 'rgba(0,0,0,1)'
+        app.canvas.editor_alpha = 1
+
+        app.canvas.updateBackground(BACKGROUND_IMAGE, CLEAR_BACKGROUND_COLOR)
+        app.canvas.draw(true, true)
+      }
+    }
+  }
+
+  // 切换start和stop
+  toggle () {
+    if (this.running) {
+      this.stop()
+    } else {
+      this.start()
+    }
+  }
+
+  // 获取运行状态
+  isRunning () {
+    return this.running
+  }
+}
+
+// 示例用法
+// const runner = new BgRunner();
+// runner.start();
+// setTimeout(() => runner.stop(), 5000);
+
+export const td_bg = new BgRunner()
@@ -11,8 +11,50 @@ import { smart_init, addSmartMenu } from './smart_connect.js'

 import { completion_ } from './chat.js'

+function showTextByLanguage (key, json) {
+  // 获取浏览器语言
+  var language = navigator.language
+  // 判断是否为中文
+  if (
+    language.indexOf('zh') !== -1 ||
+    (language.indexOf('cn') !== -1 && json[key])
+  ) {
+    return json[key]
+  } else {
+    return key
+  }
+}
+
 //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)
@@ -32,7 +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)
@@ -40,6 +82,11 @@ async function get_llamafile_models () {
 }
 // 运行llama
 async function start_llama (model = 'Phi-3-mini-4k-instruct-Q5_K_S.gguf') {
+  let n_gpu_layers = -1
+  try {
+    n_gpu_layers = parseInt(localStorage.getItem('_mixlab_llama_n_gpu'))
+  } catch (error) {}
+
  try {
    const response = await fetch('/mixlab/start_llama', {
      method: 'POST',
@@ -47,22 +94,57 @@ async function start_llama (model = 'Phi-3-mini-4k-instruct-Q5_K_S.gguf') {
        'Content-Type': 'application/json'
      },
      body: JSON.stringify({
-        model
+        model,
+        n_gpu_layers
      })
    })

-    const data = await response.json();
-    if(data.llama_cpp_error){
-      return 
+    const data = await response.json()
+    if (data.llama_cpp_error) {
+      return
+    }
+
+    return {
+      url: `http://${window.location.hostname}:${data.port}`,
+      model: data.model,
+      chat_format: data.chat_format
    }
-    
-    return { url: `http://127.0.0.1:${data.port}`, model: data.model }
-    
  } catch (error) {
    console.error(error)
  }
 }

+function resizeImage (base64Image) {
+  var img = new Image()
+  var canvas = document.createElement('canvas')
+  var ctx = canvas.getContext('2d')
+  return new Promise((res, rej) => {
+    img.onload = function () {
+      // 等比例缩放图片
+      var width = img.width
+      var height = img.height
+      var max_width = 768
+      if (width > max_width) {
+        height *= max_width / width
+        width = max_width
+      }
+
+      // 设置canvas尺寸
+      canvas.width = width
+      canvas.height = height
+
+      // 在canvas上绘制图片
+      ctx.drawImage(img, 0, 0, width, height)
+
+      // 将canvas转换为base64图片数据
+      var canvasData = canvas.toDataURL()
+      res(canvasData) //  canvas转换后的base64图片数据
+    }
+
+    img.src = base64Image
+  })
+}
+
 // 菜单入口
 async function createMenu () {
  const menu = document.querySelector('.comfy-menu')
@@ -81,7 +163,7 @@ async function createMenu () {

    // appsButton.onclick = () =>
    appsButton.onclick = async () => {
-      if (window._mixlab_llamacpp) {
+      if (window._mixlab_llamacpp&&window._mixlab_llamacpp.model&&window._mixlab_llamacpp.model.length>0) {
        //显示运行的模型
        createModelsModal([
          window._mixlab_llamacpp.url,
@@ -485,7 +567,6 @@ injectCSS(`::-webkit-scrollbar {
  border-left: 2px solid var(--input-text); 
 }
 
-
 `)

 async function getCustomnodeMappings (mode = 'url') {
@@ -610,13 +691,28 @@ app.showMissingNodesError = async function (
  // console.log('#nodesMap', nodesMap)
  // console.log('###MIXLAB', missingNodeTypes, hasAddedNodes)
  this.ui.dialog.show(
-    `When loading the graph, the following node types were not found: <ul>${missingNodeGithub(
-      missingNodeTypes,
-      nodesMap
-    ).join('')}</ul>${
-      hasAddedNodes
-        ? 'Nodes that have failed to load will show as red on the graph.'
-        : ''
+    `<a style="color: white;
+    font-size: 18px;
+    font-weight: 800;
+    letter-spacing: 2px;
+    font-family: sans-serif;
+  }"
+  href="https://discord.gg/cXs9vZSqeK"  target="_blank">${showTextByLanguage(
+    'Welcome to Mixlab nodes discord, seeking help.',
+    {
+      'Welcome to Mixlab nodes discord, seeking help.':
+        '寻求帮助，加入Mixlab nodes交流频道'
+    }
+  )}</a><br><br>${showTextByLanguage(
+      'When loading the graph, the following node types were not found:',
+      {
+        'When loading the graph, the following node types were not found:':
+          '缺少以下节点：'
+      }
+    )}
+  
+   <ul>${missingNodeGithub(missingNodeTypes, nodesMap).join('')}</ul>${
+      hasAddedNodes ? '' : ''
    }`
  )
  this.logging.addEntry('Comfy.App', 'warn', {
@@ -702,6 +798,22 @@ async function fetchReadmeContent (url) {
  }
 }

+async function startLLM (model) {
+  let res = await start_llama(model)
+  window._mixlab_llamacpp = res||{ model:[] }
+
+  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')
@@ -757,7 +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;
@@ -768,15 +880,100 @@ function createModelsModal (models) {
      user-select: none;
    `

-  headTitleElement.textContent = 'Models'
  // headTitleElement.href = 'https://github.com/shadowcz007/comfyui-mixlab-nodes'
  // headTitleElement.target = '_blank'
  const linkIcon = document.createElement('small')
-  linkIcon.textContent = '自动开启'
+  linkIcon.textContent = showTextByLanguage('Auto Open', {
+    'Auto Open': '自动开启'
+  })
  linkIcon.style.padding = '4px'

-  headTitleElement.appendChild(linkIcon)
-  headerElement.appendChild(headTitleElement)
+  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)
+  n_gpu.setAttribute('max', 9999)
+
+  n_gpu.style = `color: var(--input-text);
+  background-color: var(--comfy-input-bg);
+  border-radius: 8px;
+  border-color: var(--border-color);
+  height: 26px;
+  padding: 4px 10px;
+  width: 48px;
+  margin-left: 12px;`
+  if (localStorage.getItem('_mixlab_llama_n_gpu')) {
+    n_gpu.value = parseInt(localStorage.getItem('_mixlab_llama_n_gpu'))
+  } else {
+    n_gpu.value = -1
+    localStorage.setItem('_mixlab_llama_n_gpu', -1)
+  }
+
+  const n_gpu_p = document.createElement('p')
+  n_gpu_p.innerText = 'n_gpu_layers'
+
+  const n_gpu_div = document.createElement('div')
+  n_gpu_div.style = `display: flex;
+  justify-content: center;
+  align-items: center;
+  font-size: 12px;`
+  n_gpu_div.appendChild(n_gpu_p)
+  n_gpu_div.appendChild(n_gpu)
+
+  const title = document.createElement('p')
+  title.innerText = 'Models'
+  title.style = `font-size: 18px;
+  margin-right: 8px;
+  margin-top: 0;`
+
+  const left_d = document.createElement('div')
+  left_d.style = `display: flex;
+  justify-content: center;
+  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)
+
+  //重启
+  const reStart = document.createElement('small')
+  reStart.textContent = showTextByLanguage('restart', {
+    restart: '重启'
+  })
+
+  reStart.style=`padding: 8px;
+  font-size: 16px;
+  outline: 1px solid;
+  padding-top: 4px;
+  padding-bottom: 4px;`
+
+  headTitleElement.appendChild(reStart)
+
  if (localStorage.getItem('_mixlab_auto_llama_open')) {
    linkIcon.style.backgroundColor = '#66ff6c'
    linkIcon.style.color = 'black'
@@ -794,6 +991,19 @@ function createModelsModal (models) {
    }
  })

+  reStart.addEventListener('click', e => {
+    e.stopPropagation()
+    div.remove()
+    fetch('mixlab/re_start', {
+      method: 'POST'
+    })
+  })
+
+  n_gpu.addEventListener('click', e => {
+    e.stopPropagation()
+    localStorage.setItem('_mixlab_llama_n_gpu', n_gpu.value)
+  })
+
  modal.appendChild(headTitleElement)

  // Create modal content area
@@ -819,32 +1029,39 @@ 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||(window._mixlab_llamacpp?.model?.length==0)) {
+    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)

+  const helpInfo = document.createElement('a')
+  helpInfo.textContent = showTextByLanguage('Help', {
+    Help: '寻求帮助'
+  })
+  helpInfo.style = `text-align: center;
+  display: block;
+  padding: 8px;
+  cursor: pointer;
+  font-size: 12px;
+  color: white;`
+  helpInfo.href = 'https://discord.gg/cXs9vZSqeK'
+  helpInfo.target = '_blank'
+  modal.appendChild(helpInfo)
+
  document.body.appendChild(div)
 }

@@ -1158,6 +1375,32 @@ function drawBadge (node, orig, restArgs) {
  return r
 }

+function convertImageUrlToBase64 (imageUrl) {
+  return fetch(imageUrl)
+    .then(response => response.blob())
+    .then(blob => {
+      return new Promise((resolve, reject) => {
+        const reader = new FileReader()
+        reader.onloadend = () => resolve(reader.result)
+        reader.onerror = reject
+        reader.readAsDataURL(blob)
+      })
+    })
+}
+
+async function getSelectImageNode () {
+  var nodes = app.canvas.selected_nodes
+  let imageNode = null
+  if (Object.keys(app.canvas.selected_nodes).length == 0) return
+  for (var id in nodes) {
+    if (nodes[id].imgs) {
+      let base64 = await convertImageUrlToBase64(nodes[id].imgs[0].currentSrc)
+      imageNode = await resizeImage(base64)
+    }
+  }
+  return imageNode
+}
+
 app.registerExtension({
  name: 'Comfy.Mixlab.ui',
  init () {
@@ -1170,6 +1413,8 @@ app.registerExtension({
          .querySelector('#mixlab_chatbot_by_llamacpp')
          .setAttribute('title', res.url)
      })
+    }else{
+      startLLM('')
    }

    LGraphCanvas.prototype.helpAboutNode = async function (node) {
@@ -1178,7 +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)
@@ -1202,11 +1453,14 @@ app.registerExtension({
        w => w.name === 'text' && typeof w.value == 'string'
      )[0]
      if (widget) {
+        app.canvas.centerOnNode(node)
+
        let controller = new AbortController()
-        let ends = []
+        let ends = [] //TODO 判断终止 <|im_start|>
        let userInput = widget.value
        widget.value = widget.value.trim()
        widget.value += '\n'
+        let jsonStr="";
        try {
          await completion_(
            window._mixlab_llamacpp.url + '/v1/chat/completions',
@@ -1221,6 +1475,7 @@ app.registerExtension({
            t => {
              // console.log(t)
              widget.value += t
+              jsonStr+=t
            }
          )
        } catch (error) {
@@ -1246,6 +1501,123 @@ app.registerExtension({
                t => {
                  // console.log(t)
                  widget.value += t
+                  jsonStr+=t
+                }
+              )
+            })
+          }
+        }
+
+        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()
+        }
+        
+      }
+    }
+
+    LGraphCanvas.prototype.image2text = async function (node) {
+      let imageBase64 = await getSelectImageNode()
+
+      if (imageBase64) {
+        // console.log('image2text')
+        // 添加note 节点
+        const NoteNode = LiteGraph.createNode('Note')
+        NoteNode.title = `Image-to-Text ${node.id}`
+        NoteNode.size = [NoteNode.size[0] + 100, NoteNode.size[1]]
+        let widget = NoteNode.widgets[0]
+        widget.value = ''
+
+        NoteNode.pos = [node.pos[0] + node.size[0] + 24, node.pos[1] - 48]
+
+        app.canvas.graph.add(NoteNode, false)
+        app.canvas.centerOnNode(NoteNode)
+
+        let controller = new AbortController()
+        let ends = []
+        let userInput = widget.value
+        widget.value = widget.value.trim()
+        widget.value += '\n'
+
+        try {
+          await completion_(
+            window._mixlab_llamacpp.url + '/v1/chat/completions',
+            [
+              {
+                role: 'system',
+                content: localStorage.getItem('_mixlab_system_prompt')
+              },
+              // { role: 'user', content: userInput }
+
+              {
+                role: 'user',
+                content: [
+                  {
+                    type: 'image_url',
+                    image_url: {
+                      url: imageBase64
+                    }
+                  },
+                  { type: 'text', text: 'What’s in this image?' }
+                ]
+              }
+            ],
+            controller,
+            t => {
+              // console.log(t)
+              widget.value += t
+
+              NoteNode.size[1] = widget.element.scrollHeight + 20
+              widget.computedHeight = NoteNode.size[1]
+              app.canvas.centerOnNode(NoteNode)
+            }
+          )
+        } catch (error) {
+          //是否要自动加载模型
+          if (localStorage.getItem('_mixlab_auto_llama_open')) {
+            let model = localStorage.getItem('_mixlab_llama_select')
+            start_llama(model).then(async res => {
+              window._mixlab_llamacpp = res
+              document.body
+                .querySelector('#mixlab_chatbot_by_llamacpp')
+                .setAttribute('title', res.url)
+
+              await completion_(
+                window._mixlab_llamacpp.url + '/v1/chat/completions',
+                [
+                  {
+                    role: 'system',
+                    content: localStorage.getItem('_mixlab_system_prompt')
+                  },
+                  {
+                    role: 'user',
+                    content: [
+                      {
+                        type: 'image_url',
+                        image_url: {
+                          url: imageBase64
+                        }
+                      },
+                      { type: 'text', text: 'What’s in this image?' }
+                    ]
+                  }
+                ],
+                controller,
+                t => {
+                  // console.log(t)
+                  widget.value += t
+                  NoteNode.size[1] = widget.element.scrollHeight + 20
+                  widget.computedHeight = NoteNode.size[1]
+                  app.canvas.centerOnNode(NoteNode)
                }
              )
            })
@@ -1402,7 +1774,7 @@ app.registerExtension({
      this.setDirty(true, true)
    }

-    const getNodeMenuOptions=LGraphCanvas.prototype.getNodeMenuOptions;
+    const getNodeMenuOptions = LGraphCanvas.prototype.getNodeMenuOptions
    LGraphCanvas.prototype.getNodeMenuOptions = function (node) {
      // replace it
      const options = getNodeMenuOptions.apply(this, arguments) // start by calling the stored one
@@ -1433,7 +1805,7 @@ app.registerExtension({
        )

        if (
-          text_input&&
+          text_input &&
          text_input.length == 0 &&
          text_widget &&
          text_widget.length == 1 &&
@@ -1447,6 +1819,20 @@ app.registerExtension({
            } // and the callback
          })
        }
+
+        if (
+          node.imgs &&
+          node.imgs.length > 0 &&
+          window._mixlab_llamacpp &&
+          window._mixlab_llamacpp.chat_format === 'llava-1-5'
+        ) {
+          opts.push({
+            content: 'Image-to-Text ♾️Mixlab', // with a name
+            callback: () => {
+              LGraphCanvas.prototype.image2text(node)
+            } // and the callback
+          })
+        }
      }

      return [...opts, null, ...options] // and return the options
@@ -0,0 +1,347 @@
+/* juxtapose - v1.2.2 - 2020-09-03
+ * Copyright (c) 2020 Alex Duner and Northwestern University Knight Lab
+ */
+div.juxtapose {
+	width: 100%;
+	font-family: Helvetica, Arial, sans-serif;
+}
+
+div.jx-slider {
+	width: 100%;
+	height: 100%;
+	position: relative;
+	overflow: hidden;
+	cursor: pointer;
+	color: #f3f3f3;
+}
+
+
+div.jx-handle {
+	position: absolute;
+	height: 100%;
+	width: 40px;
+	cursor: col-resize;
+	z-index: 15;
+	margin-left: -20px;
+}
+
+.vertical div.jx-handle {
+	height: 40px;
+	width: 100%;
+	cursor: row-resize;
+	margin-top: -20px;
+	margin-left: 0;
+}
+
+div.jx-control {
+	height: 100%;
+	margin-right: auto;
+	margin-left: auto;
+	width: 3px;
+	background-color: currentColor;
+}
+
+.vertical div.jx-control {
+	height: 3px;
+	width: 100%;
+	background-color: currentColor;
+	position: relative;
+	top: 50%;
+	transform: translateY(-50%);
+}
+
+div.jx-controller {
+	position: absolute;
+	margin: auto;
+	top: 0;
+	bottom: 0;
+	height: 60px;
+	width: 9px;
+	margin-left: -3px;
+	background-color: currentColor;
+}
+
+.vertical div.jx-controller {
+	height: 9px;
+	width: 100px;
+	margin-left: auto;
+	margin-right: auto;
+	top: -3px;
+	position: relative;
+}
+
+div.jx-arrow {
+	position: absolute;
+	margin: auto;
+	top: 0;
+	bottom: 0;
+	width: 0;
+	height: 0;
+	transition: all .2s ease;
+}
+
+.vertical div.jx-arrow {
+	position: absolute;
+	margin: 0 auto;
+	left: 0;
+	right: 0;
+	width: 0;
+	height: 0;
+	transition: all .2s ease;
+}
+
+
+div.jx-arrow.jx-left {
+	left: 2px;
+	border-style: solid;
+	border-width: 8px 8px 8px 0;
+	border-color: transparent currentColor transparent transparent;
+}
+
+div.jx-arrow.jx-right {
+	right: 2px;
+	border-style: solid;
+	border-width: 8px 0 8px 8px;
+	border-color: transparent transparent transparent currentColor;
+}
+
+.vertical div.jx-arrow.jx-left {
+	left: 0px;
+	top: 2px;
+	border-style: solid;
+	border-width: 0px 8px 8px 8px;
+	border-color: transparent transparent currentColor transparent;
+}
+
+.vertical div.jx-arrow.jx-right {
+	right: 0px;
+	top: auto;
+	bottom: 2px;
+	border-style: solid;
+	border-width: 8px 8px 0 8px;
+	border-color: currentColor transparent transparent transparent;
+}
+
+div.jx-handle:hover div.jx-arrow.jx-left,
+div.jx-handle:active div.jx-arrow.jx-left {
+	left: -1px;
+}
+
+div.jx-handle:hover div.jx-arrow.jx-right,
+div.jx-handle:active div.jx-arrow.jx-right {
+	right: -1px;
+}
+
+.vertical div.jx-handle:hover div.jx-arrow.jx-left,
+.vertical div.jx-handle:active div.jx-arrow.jx-left {
+	left: 0px;
+	top: 0px;
+}
+
+.vertical div.jx-handle:hover div.jx-arrow.jx-right,
+.vertical div.jx-handle:active div.jx-arrow.jx-right {
+	right: 0px;
+	bottom: 0px;
+}
+
+
+div.jx-image {
+	position: absolute;
+	height: 100%;
+	display: inline-block;
+	top: 0;
+	overflow: hidden;
+	-webkit-backface-visibility: hidden;
+}
+
+.vertical div.jx-image {
+	width: 100%;
+	left: 0;
+	top: auto;
+}
+
+div.jx-image img {
+	height: 100%;
+	width: auto;
+	z-index: 5;
+	position: absolute;
+	margin-bottom: 0;
+
+	max-height: none;
+	max-width: none;
+	max-height: initial;
+	max-width: initial;
+}
+
+.vertical div.jx-image img {
+	height: auto;
+	width: 100%;
+}
+
+div.jx-image.jx-left {
+	left: 0;
+	background-position: left;
+}
+
+div.jx-image.jx-left img {
+	left: 0;
+}
+
+div.jx-image.jx-right {
+	right: 0;
+	background-position: right;
+}
+
+div.jx-image.jx-right img {
+	right: 0;
+	bottom: 0;
+}
+
+
+.veritcal div.jx-image.jx-left {
+	top: 0;
+	background-position: top;
+}
+
+.veritcal div.jx-image.jx-left img {
+	top: 0;
+}
+
+.vertical div.jx-image.jx-right {
+	bottom: 0;
+	background-position: bottom;
+}
+
+.veritcal div.jx-image.jx-right img {
+	bottom: 0;
+}
+
+
+div.jx-image div.jx-label {
+	font-size: 1em;
+	padding: .25em .75em;
+	position: relative;
+	display: inline-block;
+	top: 0;
+	background-color: #000; /* IE 8 */
+	background-color: rgba(0,0,0,.7);
+	color: white;
+	z-index: 10;
+	white-space: nowrap;
+	line-height: 18px;
+	vertical-align: middle;
+}
+
+div.jx-image.jx-left div.jx-label {
+	float: left;
+	left: 0;
+}
+
+div.jx-image.jx-right div.jx-label {
+	float: right;
+	right: 0;
+}
+
+.vertical div.jx-image div.jx-label {
+	display: table;
+	position: absolute;
+}
+
+.vertical div.jx-image.jx-right div.jx-label {
+	left: 0;
+	bottom: 0;
+	top: auto;
+}
+
+div.jx-credit {
+	line-height: 1.1;
+	font-size: 0.75em;
+}
+
+div.jx-credit em {
+	font-weight: bold;
+	font-style: normal;
+}
+
+
+/* Animation */
+
+div.jx-image.transition {
+	transition: width .5s ease;
+}
+
+div.jx-handle.transition {
+	transition: left .5s ease;
+}
+
+.vertical div.jx-image.transition {
+	transition: height .5s ease;
+}
+
+.vertical div.jx-handle.transition {
+	transition: top .5s ease;
+}
+
+/* Knight Lab Credit */
+a.jx-knightlab {
+	background-color: #000; /* IE 8 */
+	background-color: rgba(0,0,0,.25);
+	bottom: 0;
+	display: table;
+	height: 14px;
+	line-height: 14px;
+	padding: 1px 4px 1px 5px;
+	position: absolute;
+	right: 0;
+	text-decoration: none;
+	z-index: 10;
+}
+
+a.jx-knightlab div.knightlab-logo {
+	display: inline-block;
+	vertical-align: middle;
+	height: 8px;
+	width: 8px;
+	background-color: #c34528;
+	transform: rotate(45deg);
+	-ms-transform: rotate(45deg);
+	-webkit-transform: rotate(45deg);
+	top: -1.25px;
+	position: relative;
+	cursor: pointer;
+}
+
+a.jx-knightlab:hover {
+	background-color: #000; /* IE 8 */
+	background-color: rgba(0,0,0,.35);
+}
+a.jx-knightlab:hover div.knightlab-logo {
+	background-color: #ce4d28;
+}
+
+a.jx-knightlab span.juxtapose-name {
+	display: table-cell;
+	margin: 0;
+	padding: 0;
+	font-family: Helvetica, Arial, sans-serif;
+	font-weight: 300;
+	color: white;
+	font-size: 10px;
+	padding-left: 0.375em;
+	vertical-align: middle;
+	line-height: normal;
+	text-shadow: none;
+}
+
+/* keyboard accessibility */
+div.jx-controller:focus,
+div.jx-image.jx-left div.jx-label:focus,
+div.jx-image.jx-right div.jx-label:focus,
+a.jx-knightlab:focus {
+	background: #eae34a;
+	color: #000;
+}
+a.jx-knightlab:focus span.juxtapose-name{
+	color: #000;
+	border: none;
+}
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+@license MIT
+*/
+
+/*!
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+pica
+https://github.com/nodeca/pica
+
+*/
+
+/*!
+ * Block below copied from Protovis: http://mbostock.github.com/protovis/
+ * Copyright 2010 Stanford Visualization Group
+ * Licensed under the BSD License: http://www.opensource.org/licenses/bsd-license.php
+ * @license
+ */
+
+/*!
+ * jQuery JavaScript Library v3.7.1
+ * https://jquery.com/
+ *
+ * Copyright OpenJS Foundation and other contributors
+ * Released under the MIT license
+ * https://jquery.org/license
+ *
+ * Date: 2023-08-28T13:37Z
+ */
+
+/*!
+ * quantize.js Copyright 2008 Nick Rabinowitz.
+ * Licensed under the MIT license: http://www.opensource.org/licenses/mit-license.php
+ * @license
+ */
+
+/*! alertifyjs - v1.13.1 - Mohammad Younes <Mohammad@alertifyjs.com> (http://alertifyjs.com) */
+
+/*! regenerator-runtime -- Copyright (c) 2014-present, Facebook, Inc. -- license (MIT): https://github.com/facebook/regenerator/blob/main/LICENSE */
+
+/**
+ * hermite-resize - Canvas image resize/resample using Hermite filter with JavaScript.
+ * @version v2.2.10
+ * @link https://github.com/viliusle/miniPaint
+ * @license MIT
+ */
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+</svg>
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+	 viewBox="0 0 262.474 262.474" style="enable-background:new 0 0 262.474 262.474;" xml:space="preserve">
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+</svg>
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+	<g>
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+		<path d="M450.083,0.497h-19.959v39.919h19.959c11.579,0,21,9.421,21,21.001v19.959h39.919V61.417
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+	<g>
+		<rect y="288.909" width="39.919" height="89.817"/>
+	</g>
+</g>
+<g>
+	<g>
+		<rect y="143.246" width="39.919" height="89.817"/>
+	</g>
+</g>
+<g>
+	<g>
+		<rect x="472.078" y="288.909" width="39.919" height="89.817"/>
+	</g>
+</g>
+<g>
+	<g>
+		<rect x="472.078" y="143.246" width="39.919" height="89.817"/>
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+</svg>
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+<svg xmlns="http://www.w3.org/2000/svg" viewBox="1 2 31 27" x="0px" y="0px">
+	<title>shapes</title>
+	<g>
+		<path d="M30.87,16.33l-7.5-13a1,1,0,0,0-1.73,0l-5,8.69a8.15,8.15,0,0,0-1.61,0V7a1,1,0,0,0-1-1H2A1,1,0,0,0,1,7V19a1,1,0,0,0,1,1H8a8,8,0,1,0,15.69-2.17H30a1,1,0,0,0,.87-1.5ZM3,18V8H13v4.58l0,0A8,8,0,0,0,8.28,18H3Zm13,8a6,6,0,0,1-6-6,4.62,4.62,0,0,1,.07-.86,6,6,0,0,1,4.22-4.89A5.92,5.92,0,0,1,16,14a5.29,5.29,0,0,1,1,.09A6,6,0,0,1,16,26Zm6.83-10.17h0a8,8,0,0,0-4.12-3.34l0,0L22.5,5.84l5.77,10Z"/>
+	</g>
+</svg>
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+<svg version="1.1" id="Capa_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 512 512" style="enable-background:new 0 0 512 512;" xml:space="preserve">
+<g>
+	<g>
+		<path d="M508.867,190.394l-111-143.568C394.996,43.113,390.52,41,386,41H126c-4.498,0-8.98,2.092-11.867,5.825l-111,143.568
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+	</g>
+</g>
+</svg>
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+<?xml version="1.0" encoding="iso-8859-1"?>
+<svg width="1em" height="1em" viewBox="0 0 16 16" xmlns="http://www.w3.org/2000/svg">
+	<path d="M8.527 13.164c-2.153 0-3.589-1.107-3.705-2.81h1.23c.144 1.06 1.129 1.703 2.544 1.703 1.34 0 2.31-.705 2.31-1.675 0-.827-.547-1.374-1.914-1.675L8.046 8.5h3.45c.468.437.675.994.675 1.697 0 1.826-1.436 2.967-3.644 2.967zM6.602 6.5H5.167a2.776 2.776 0 0 1-.099-.76c0-1.627 1.436-2.768 3.48-2.768 1.969 0 3.39 1.175 3.445 2.85h-1.23c-.11-1.08-.964-1.743-2.25-1.743-1.23 0-2.18.602-2.18 1.607 0 .31.083.581.27.814z"/><path fill-rule="evenodd" d="M15 8.5H1v-1h14v1z"/>
+</svg>
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+<?xml version="1.0" encoding="iso-8859-1"?>
+<!-- Generator: Adobe Illustrator 16.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
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+<svg version="1.1" id="Capa_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 width="977.7px" height="977.7px" viewBox="0 0 977.7 977.7" style="enable-background:new 0 0 977.7 977.7;" xml:space="preserve"
+	>
+<g>
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+		c136-2,210.5,76.7,250,193.2c6.3,18.7,23.8,31.3,43.5,31.3h36.2c24.9,0,45-20.1,45-45V47.1c0-24.9-20.1-45-45-45H488.9h-0.2H45
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+<?xml version="1.0" encoding="iso-8859-1"?>
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+	 viewBox="0 0 461.312 461.312" style="enable-background:new 0 0 461.312 461.312;" xml:space="preserve">
+<g>
+	<g>
+		<path d="M230.656,156.416c-40.96,0-74.24,33.28-74.24,74.24s33.28,74.24,74.24,74.24s74.24-33.28,74.24-74.24
+			S271.616,156.416,230.656,156.416z M225.024,208.64c-9.216,0-16.896,7.68-16.896,16.896h-24.576
+			c0.512-23.04,18.944-41.472,41.472-41.472V208.64z"/>
+	</g>
+</g>
+<g>
+	<g>
+		<path d="M455.936,215.296c-25.088-31.232-114.688-133.12-225.28-133.12S30.464,184.064,5.376,215.296
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+			C463.104,237.312,463.104,224.512,455.936,215.296z M230.656,338.176c-59.392,0-107.52-48.128-107.52-107.52
+			s48.128-107.52,107.52-107.52s107.52,48.128,107.52,107.52S290.048,338.176,230.656,338.176z"/>
+	</g>
+</g>
+</svg>
@@ -0,0 +1,139 @@
+<!DOCTYPE html>
+<html dir="ltr" lang="en-US">
+
+<head>
+	<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+	<meta http-equiv="x-ua-compatible" content="IE=edge" />
+	<title>miniPaint - image editor</title>
+	<meta name="description"
+		content="miniPaint is free online image editor using HTML5. Edit, adjust your images, add effects online in your browser, without installing anything..." />
+	<meta name="keywords"
+		content="photo, image, picture, transparent, layers, free, edit, html5, canvas, javascript, online, photoshop, gimp, effects, sharpen, blur, magic eraser tool, clone tool, rotate, resize, photoshop online, online tools, tilt shift, sprites, keypoints" />
+	<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1.0, user-scalable=0" />
+	<link rel="icon" sizes="192x192" href="images/favicon.png">
+	<!-- <link rel="manifest" href="dist/manifest.json"> -->
+	<!-- Google -->
+	<meta itemprop="name" content="miniPaint" />
+	<meta itemprop="description"
+		content="miniPaint is free online image editor using HTML5. Edit, adjust your images, add effects online in your browser, without installing anything..." />
+	<meta itemprop="image" content="https://viliusle.github.io/miniPaint/images/preview.jpg" />
+	<!-- Twitter -->
+	<meta name="twitter:card" content="summary_large_image" />
+	<meta name="twitter:title" content="miniPaint" />
+	<meta name="twitter:description"
+		content="miniPaint is free online image editor using HTML5. Edit, adjust your images, add effects online in your browser, without installing anything..." />
+	<meta name="twitter:image" content="https://viliusle.github.io/miniPaint/images/preview.jpg" />
+	<meta name="twitter:image:alt"
+		content="miniPaint is free online image editor using HTML5. Edit, adjust your images, add effects online in your browser, without installing anything..." />
+	<!-- Facebook, Pinterest -->
+	<meta property="og:title" content="miniPaint" />
+	<meta property="og:type" content="article" />
+	<meta property="og:url" content="https://viliusle.github.io/miniPaint/" />
+	<meta property="og:image" content="https://viliusle.github.io/miniPaint/images/preview.jpg" />
+	<meta property="og:description"
+		content="miniPaint is free online image editor using HTML5. Edit, adjust your images, add effects online in your browser, without installing anything..." />
+	<meta property="og:site_name" content="miniPaint" />
+
+	<script src="dist/bundle.ejs"></script>
+</head>
+
+<body>
+	<div class="wrapper">
+
+		<nav aria-label="Main Menu" class="main_menu" id="main_menu"></nav>
+
+		<div class="submenu">
+			<!-- <a class="logo" href="#">miniPaint</a> -->
+			<div class="block attributes" id="action_attributes"></div>
+			
+			<select id="automask_models_mixlab"></select>
+
+			<button id="automask_image_mixlab" type="button" style="width: 98px;
+			height: 36px;margin-right: 18px;
+			color: white;">
+				RemoveBg
+			</button>
+
+			<button id="cancel_image_mixlab" type="button" style="width: 98px;
+			height: 36px;
+			color: white;">
+				Cancel
+			</button>
+			<button id="save_image_mixlab" type="button" style="width: 98px;
+			height: 36px;
+			color: white;">
+				Save
+			</button>
+
+			<a  
+			target="_blank" href="https://discord.gg/xbP2GZF6gn" 
+			style="width: 98px;
+			color: white;
+			text-decoration: none;"> Help/帮助 </a>
+
+			<button class="undo_button" id="undo_button" type="button">
+				<span class="sr_only">Undo</span>
+			</button>
+		</div>
+
+		<div class="sidebar_left" id="tools_container"></div>
+
+
+		<div class="middle_area" id="middle_area">
+
+			<canvas class="ruler_left" id="ruler_left"></canvas>
+			<canvas class="ruler_top" id="ruler_top"></canvas>
+
+			<div class="main_wrapper" id="main_wrapper">
+				<div class="canvas_wrapper" id="canvas_wrapper">
+					<div id="mouse"></div>
+					<div class="transparent-grid" id="canvas_minipaint_background"></div>
+					<canvas id="canvas_minipaint">
+						<div class="trn error">
+							Your browser does not support canvas or JavaScript is not enabled.
+						</div>
+					</canvas>
+				</div>
+			</div>
+		</div>
+
+		<div class="sidebar_right">
+			<div class="preview block" style="display: none;">
+				<h2 class="trn toggle" data-target="toggle_preview">Preview</h2>
+				<div id="toggle_preview"></div>
+			</div>
+
+			<div class="colors block">
+				<h2 class="trn toggle" data-target="toggle_colors">Colors</h2>
+				<div class="content" id="toggle_colors"></div>
+			</div>
+
+			<div class="block" id="info_base" style="display: none;">
+				<h2 class="trn toggle toggle-full" data-target="toggle_info">Information</h2>
+				<div class="content" id="toggle_info"></div>
+			</div>
+
+			<div class="details block" id="details_base">
+				<h2 class="trn toggle toggle-full" data-target="toggle_details">Layer details</h2>
+				<div class="content details-content" id="toggle_details"></div>
+			</div>
+
+			<div class="layers block">
+				<h2 class="trn">Layers</h2>
+				<div class="content" id="layers_base"></div>
+			</div>
+		</div>
+	</div>
+	<div class="mobile_menu">
+		<button class="left_mobile_menu" id="left_mobile_menu_button" type="button">
+			<span class="sr_only">Toggle Menu</span>
+		</button>
+		<button class="right_mobile_menu" id="mobile_menu_button" type="button">
+			<span class="sr_only">Toggle Menu</span>
+		</button>
+	</div>
+	<div class="hidden" id="tmp"></div>
+	<div id="popups"></div>
+</body>
+
+</html>
Author	SHA1	Message	Date
shadowcz007	408d85691e	v0.29.0 支持把输出显示到comfyui背景（TouchDesigner 风格）	2024-06-08 16:58:21 +08:00
shadowcz007	c66cd6901b	appinfo add performance features Appinfo supports outputting to the background, enhancing the performance features of ComfyUI.	2024-06-08 16:03:10 +08:00
shadowcz007	aeadbc4f6d	fixbug	2024-06-06 15:17:40 +08:00
shadowcz007	224136890e	fixbug	2024-06-06 08:02:51 +08:00
shadowcz007	3669a1e86d	0.28.3	2024-06-01 23:21:33 +08:00
shadowcz007	d588b5b327	Update index.html	2024-05-29 22:37:52 +08:00
shadowcz007	b705679098	Update index.html	2024-05-29 21:49:32 +08:00
shadowcz007	f71a0b0da5	Update index.html	2024-05-29 20:20:19 +08:00
shadowcz007	ebc2c76b6b	fixbug	2024-05-25 22:50:19 +08:00
shadow	2e3fff278e	Merge pull request #240 from audioscavenger/patch-1 Update extension-node-map.json	2024-05-24 11:12:17 +08:00
Eric	1f4bc5e089	Update extension-node-map.json i'm the new maintainer, thanks	2024-05-23 16:41:33 -07:00
shadowcz007	52c38b10dd	v0.28.2	2024-05-23 18:19:30 +08:00
shadowcz007	7047aa5456	add video format	2024-05-23 16:59:04 +08:00
shadowcz007	33fe4019f7	Update ui_mixlab.js	2024-05-23 16:43:50 +08:00
shadowcz007	80b9d97690	Update Video.py	2024-05-23 15:58:24 +08:00
shadowcz007	3c3c92723f	Update pyproject.toml	2024-05-23 10:34:36 +08:00
shadowcz007	037bd87006	Update pyproject.toml	2024-05-23 10:26:48 +08:00
shadowcz007	f688310d28	Update Utils.py	2024-05-23 10:14:25 +08:00
shadow	c4d65e7a45	Merge pull request #234 from haohaocreates/publish Add Github Action for Publishing to Comfy Registry	2024-05-22 23:14:33 +08:00
shadow	6f208b710d	Merge pull request #235 from haohaocreates/pyproject Add pyproject.toml for Custom Node Registry	2024-05-22 23:14:17 +08:00
haohaocreates	b599faaf85	Update pyproject.toml desc	2024-05-21 15:24:07 -04:00
haohaocreates	6d991d20dc	chore(publish): Add Github Action for Publishing to Comfy Registry	2024-05-21 19:19:01 +00:00
haohaocreates	c87e0296f6	chore(pyproject): Add pyproject.toml for Custom Node Registry	2024-05-21 19:19:01 +00:00
shadow	16cdb4c5b4	Merge pull request #231 from 295958090/main 修复FloatSlider的bug	2024-05-21 21:57:10 +08:00
Bai Shui	7631b8924d	修复bug	2024-05-21 13:34:29 +08:00
shadowcz007	785d307ff3	Update index.html	2024-05-18 16:13:30 +08:00
shadowcz007	8c713ff35e	Update index.html	2024-05-18 16:08:25 +08:00
shadowcz007	7d80493bef	Update index.html	2024-05-18 16:05:39 +08:00
shadowcz007	bff2760c3d	v0.28.1 修复bug	2024-05-18 11:38:50 +08:00
shadowcz007	a0f8848367	修复当上传新的图片，编辑mask的bug	2024-05-18 11:38:28 +08:00
shadowcz007	5b1cbcd8d5	修复bug	2024-05-16 13:20:06 +08:00
shadowcz007	05857a92d5	v0.28.0 add rembg api & webapp rembg	2024-05-16 11:49:45 +08:00
shadowcz007	6bdc811286	add rembg api & webapp rembg	2024-05-16 11:49:14 +08:00
shadowcz007	469d50a5b8	Update index.html	2024-05-16 09:02:13 +08:00
shadowcz007	ef86904bfb	Update ui_mixlab.js	2024-05-16 09:02:08 +08:00
shadowcz007	d4181ea67c	v0.27.1 fixbug	2024-05-16 08:49:30 +08:00
shadowcz007	1c6d17309f	Update index.html	2024-05-16 08:49:09 +08:00
shadowcz007	db293ec41d	fixbug css	2024-05-16 08:47:17 +08:00
shadowcz007	db8d468f29	0.27.0 增加webapp的mask绘制	2024-05-16 00:11:16 +08:00
shadowcz007	d7d7af7265	add mask edit for webapp	2024-05-16 00:06:42 +08:00
shadowcz007	bd763cadc1	fixbug	2024-05-16 00:05:24 +08:00
shadowcz007	22799fc549	fixbug for mask	2024-05-16 00:05:16 +08:00
shadowcz007	0f231d1271	add minPaint for mask	2024-05-16 00:04:54 +08:00
shadowcz007	8c0c911020	Create LICENSE	2024-05-14 10:02:46 +08:00
shadowcz007	6cb9df700b	增加ComparingTwoFrames、右键image-to-text	2024-05-14 09:59:39 +08:00
shadowcz007	4fdda537b9	Update README.md	2024-05-14 09:57:51 +08:00
shadowcz007	cb6f32465a	Update README.md	2024-05-14 09:55:34 +08:00
shadowcz007	c235e36cb4	Merge branch 'main' of https://github.com/shadowcz007/comfyui-mixlab-nodes	2024-05-14 09:54:27 +08:00
shadowcz007	aaca440a94	Update README.md	2024-05-14 09:54:24 +08:00
shadow	1f57950a29	Update README.md	2024-05-14 09:39:57 +08:00
shadow	3d8855ec72	Update README.md	2024-05-14 09:39:45 +08:00
shadowcz007	ac9231d9f3	Update image_mixlab.js	2024-05-13 21:43:20 +08:00
shadowcz007	37c0a56d89	add ComparingTwoFrames	2024-05-13 21:33:44 +08:00
shadowcz007	010915dac4	add help	2024-05-13 11:37:17 +08:00
shadowcz007	83a8b3b970	Update ui_mixlab.js	2024-05-13 10:58:36 +08:00
shadowcz007	f130202aa1	resizeImage	2024-05-12 22:25:08 +08:00
shadowcz007	c8f6800bcd	add image-to-text :llava-phi-3-mini-gguf	2024-05-12 17:34:53 +08:00
shadowcz007	078f9f5dd4	Update ui_mixlab.js	2024-05-12 00:03:11 +08:00
shadowcz007	c0de178c7d	add re_start	2024-05-11 23:58:05 +08:00
shadowcz007	1c767b538d	set n_gpu_layers	2024-05-11 17:53:18 +08:00
shadowcz007	51aab44b5d	Update ui_mixlab.js	2024-05-11 14:43:35 +08:00
shadowcz007	b8a0d4a67b	Update ui_mixlab.js	2024-05-11 14:17:01 +08:00
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