0.30.3

update
Update __init__.py
2024-07-08 00:03:33 +08:00 · 2024-07-07 18:41:56 +08:00 · 2024-07-07 17:05:06 +08:00 · 2024-07-06 20:30:50 +08:00 · 2024-07-06 00:54:19 +08:00 · 2024-07-06 00:39:02 +08:00
93 changed files with 17297 additions and 1768 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 @@
+mixlabnodes.com
@@ -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 +1,36 @@
-> 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`：
+
+- 增加 Edit Mask，方便在生成的时候手动绘制 mask [workflow](./workflow/edit-mask-workflow.json)
+
+
+- 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-liveportrait](https://github.com/shadowcz007/comfyui-liveportrait)
+
+[Comfyui-ChatTTS](https://github.com/shadowcz007/Comfyui-ChatTTS)
+
+[comfyui-sound-lab](https://github.com/shadowcz007/comfyui-sound-lab)

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

@@ -12,27 +40,14 @@

 <!-- [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 +56,6 @@ 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 +63,67 @@ 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

@@ -116,10 +131,23 @@ Model download,move to :```models/llamafile/```

 ```

+> [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) -->

@@ -133,20 +161,23 @@ Model download,move to :```models/llamafile/```

 > 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.

+> The composite images node overlays a foreground image onto a background image at specified positions and scales, with optional blending modes and masking capabilities. position : 'overall',"center_center","left_bottom","center_bottom","right_bottom","left_top","center_top","right_top"
+
+
 ![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)
@@ -154,44 +185,50 @@ Model download,move to :```models/llamafile/```
 ![](./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.

+#### TextImage
+
+> [下载字体](https://drxie.github.io/OSFCC/)放到 ```custom_nodes/comfyui-mixlab-nodes/assets/fonts```
+
+

 ### 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)
@@ -199,33 +236,27 @@ Model download,move to :```models/llamafile/```

 [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.
@@ -236,23 +267,21 @@ 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

@@ -268,40 +297,35 @@ 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
@@ -321,4 +345,3 @@ File / LoadImagesFromPath SaveImageToLocal LoadImagesFromURL
    src="https://api.star-history.com/svg?repos=shadowcz007/comfyui-mixlab-nodes&type=Date"
  />
 </picture>
-
@@ -8,13 +8,31 @@ 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

+#修复 sys.stdout.isatty()  object has no attribute 'isatty'
+try:
+    sys.stdout.isatty()
+except:
+    print('#fix sys.stdout.isatty')
+    sys.stdout.isatty = lambda: False
+
 llama_port=None
 llama_model=""
+llama_chat_format=""

-from .nodes.ChatGPT import get_llama_models,get_llama_model_path
+try:
+    from .nodes.ChatGPT import get_llama_models,get_llama_model_path,llama_cpp_client
+    llama_cpp_client("")
+
+except:
+    print("##nodes.ChatGPT ImportError")
+
+
+from .nodes.RembgNode import get_rembg_models,U2NET_HOME,run_briarmbg,run_rembg

 from server import PromptServer

@@ -84,6 +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()
@@ -141,7 +179,7 @@ def create_for_https():

 # workflow  目录下的所有json
 def read_workflow_json_files_all(folder_path):
-    print('#read_workflow_json_files_all',folder_path)
+    # print('#read_workflow_json_files_all',folder_path)
    json_files = []
    for root, dirs, files in os.walk(folder_path):
        for file in files:
@@ -615,10 +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()
@@ -638,9 +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
@@ -658,7 +739,28 @@ 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,model)

    address="127.0.0.1"
    port=9090
@@ -675,66 +777,81 @@ async def start_local_llm(data):
    
    server_settings=ServerSettings(host=address,port=port)

-    app = create_app(
-                server_settings=server_settings,
-                model_settings=[ModelSettings(model=model,n_gpu_layers=9999,n_ctx=4098)],
-            )
+    name, ext = os.path.splitext(os.path.basename(model))
+    if name:
+        # print('#model',name)
+        app = create_app(
+                    server_settings=server_settings,
+                    model_settings=[
+                        ModelSettings(
+                        model=model,
+                        model_alias=name,
+                        n_gpu_layers=n_gpu_layers,
+                        n_ctx=4098,
+                        chat_format=chat_format,
+                        embedding=False,
+                        clip_model_path=clip_model_path
+                        )])

-    def run_uvicorn():
-        uvicorn.run(
-                app,
-                host=os.getenv("HOST", server_settings.host),
-                port=int(os.getenv("PORT", server_settings.port)),
-                ssl_keyfile=server_settings.ssl_keyfile,
-                ssl_certfile=server_settings.ssl_certfile,
-            )
+        def run_uvicorn():
+            uvicorn.run(
+                    app,
+                    host=os.getenv("HOST", server_settings.host),
+                    port=int(os.getenv("PORT", server_settings.port)),
+                    ssl_keyfile=server_settings.ssl_keyfile,
+                    ssl_certfile=server_settings.ssl_certfile,
+                )

-    # 创建一个子线程
-    thread = threading.Thread(target=run_uvicorn)
+        # 创建一个子线程
+        thread = threading.Thread(target=run_uvicorn)

-    # 启动子线程
-    thread.start()
+        # 启动子线程
+        thread.start()

-    llama_port=port
-    llama_model=data['model']
+        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)
-    result=await start_local_llm(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}
+        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 ImageListToBatch_,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

-from .nodes.ChatGPT import ChatGPTNode,ShowTextForGPT,CharacterInText,TextSplitByDelimiter
-from .nodes.Audio import GamePal,SpeechRecognition,SpeechSynthesis
+from .nodes.Audio import AudioPlayNode,SpeechRecognition,SpeechSynthesis
 from .nodes.Utils import IncrementingListNode,ListSplit,CreateLoraNames,CreateSampler_names,CreateCkptNames,CreateSeedNode,TESTNODE_,TESTNODE_TOKEN,AppInfo,IntNumber,FloatSlider,TextInput,ColorInput,FontInput,TextToNumber,DynamicDelayProcessor,LimitNumber,SwitchByIndex,MultiplicationNode
 from .nodes.Mask import PreviewMask_,MaskListReplace,MaskListMerge,OutlineMask,FeatheredMask

 from .nodes.Style import ApplyVisualStylePrompting,StyleAlignedReferenceSampler,StyleAlignedBatchAlign,StyleAlignedSampleReferenceLatents

-from .nodes.Video import VideoCombine_Adv,LoadVideoAndSegment,ImageListReplace,VAEEncodeForInpaint_Frames
-
-from .nodes.TripoSR import LoadTripoSRModel,TripoSRSampler,SaveTripoSRMesh


 # 要导出的所有节点及其名称的字典
@@ -765,6 +882,7 @@ NODE_CLASS_MAPPINGS = {
    "ImageColorTransfer":ImageColorTransfer,
    "ShowLayer":ShowLayer,
    "NewLayer":NewLayer,
+    "ImageListToBatch_":ImageListToBatch_,
    "CompositeImages_":CompositeImages,
    "SplitImage":SplitImage,
    "CenterImage":CenterImage,
@@ -782,13 +900,11 @@ NODE_CLASS_MAPPINGS = {
    # "VAELoaderConsistencyDecoder":VAELoader,
    "SaveImageToLocal":SaveImageToLocal,
    "SaveImageAndMetadata_":SaveImageAndMetadata,
+    "ComparingTwoFrames_":ComparingTwoFrames,
    # "VAEDecodeConsistencyDecoder":VAEDecode,
    "ScreenShare":ScreenShareNode,
    "FloatingVideo":FloatingVideo,
-    "ChatGPTOpenAI":ChatGPTNode,
-    "ShowTextForGPT":ShowTextForGPT,
-    "CharacterInText":CharacterInText,
-    "TextSplitByDelimiter":TextSplitByDelimiter,
+   
    "SpeechRecognition":SpeechRecognition,
    "SpeechSynthesis":SpeechSynthesis,
    "Color":ColorInput,
@@ -812,44 +928,41 @@ NODE_CLASS_MAPPINGS = {
    "ApplyVisualStylePrompting_":ApplyVisualStylePrompting,
    "StyleAlignedReferenceSampler_": StyleAlignedReferenceSampler,
    "StyleAlignedSampleReferenceLatents_": StyleAlignedSampleReferenceLatents,
-    "StyleAlignedBatchAlign_": StyleAlignedBatchAlign,
-    "LoadVideoAndSegment_":LoadVideoAndSegment,
-    "VideoCombine_Adv":VideoCombine_Adv,
+    "StyleAlignedBatchAlign_": StyleAlignedBatchAlign, 
    "ListSplit_":ListSplit,
-    "MaskListReplace_":MaskListReplace,
-    "ImageListReplace_":ImageListReplace,
-    "VAEEncodeForInpaint_Frames":VAEEncodeForInpaint_Frames,
+    "MaskListReplace_":MaskListReplace, 
    "IncrementingListNode_":IncrementingListNode,
    "PreviewMask_":PreviewMask_,
-     "LoadTripoSRModel_": LoadTripoSRModel,
-    "TripoSRSampler_": TripoSRSampler,
-    "SaveTripoSRMesh": SaveTripoSRMesh
-    # "GamePal":GamePal
+    "AudioPlay":AudioPlayNode
 }

 # 一个包含节点友好/可读的标题的字典
 NODE_DISPLAY_NAME_MAPPINGS = {
    "AppInfo":"App Info ♾️MixlabApp",
+    "ScreenShare":"Screen Share ♾️Mixlab",
+    "FloatingVideo":"Floating Video ♾️Mixlab",
+    "TextImage":"Text Image ♾️Mixlab",
+    
    "Color":"Color Input ♾️MixlabApp",
    "TextInput_":"Text Input ♾️MixlabApp",
    "FloatSlider":"Float Slider Input ♾️MixlabApp",
    "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",
    "SplitLongMask":"Splitting a long image into sections",
    "VAELoaderConsistencyDecoder":"Consistency Decoder Loader",
    "VAEDecodeConsistencyDecoder":"Consistency Decoder Decode",
-    "ScreenShare":"Screen Share ♾️Mixlab",
-    "FloatingVideo":"FloatingVideo ♾️Mixlab",
-    "ChatGPTOpenAI":"ChatGPT & Local LLM ♾️Mixlab",
-    "ShowTextForGPT":"Show Text ♾️MixlabApp",
+    
+    
    "MergeLayers":"Merge Layers ♾️Mixlab",
    "SpeechSynthesis":"SpeechSynthesis ♾️Mixlab",
    "SpeechRecognition":"SpeechRecognition ♾️Mixlab",
    "3DImage":"3DImage ♾️Mixlab",
+    "ImageListToBatch_":"Image List To Batch",
    "CompositeImages_":"Composite Images ♾️Mixlab",
    "DynamicDelayProcessor":"DynamicDelayByText ♾️Mixlab",
    "LaMaInpainting":"LaMaInpainting ♾️Mixlab",
@@ -875,13 +988,12 @@ NODE_DISPLAY_NAME_MAPPINGS = {
    "GridInput":"Grid Input ♾️Mixlab",
    "GridOutput":"Grid Output ♾️Mixlab",
    "GetImageSize_":"Get Image Size ♾️Mixlab",
-    "VAEEncodeForInpaint_Frames":"VAE Encode For Inpaint Frames ♾️Mixlab",
    "IncrementingListNode_":"Create Incrementing Number List ♾️Mixlab",
    "LoadImagesToBatch":"Load Images(base64) ♾️Mixlab",
    "PreviewMask_":"Preview Mask",
-    "LoadTripoSRModel_": "Load TripoSR Model",
-    "TripoSRSampler_": "TripoSR Sampler",
-    "SaveTripoSRMesh": "Save TripoSR Mesh"
+    "AudioPlay":"Audio Play ♾️Mixlab",
+
+     "MultiplicationNode":"Math Operation ♾️Mixlab",
 }

 # web ui的节点功能
@@ -892,6 +1004,41 @@ logging.info('--------------')
 logging.info('\033[91m ### Mixlab Nodes: \033[93mLoaded')
 # print('\033[91m ### Mixlab Nodes: \033[93mLoaded')

+try:
+    from .nodes.ChatGPT import ChatGPTNode,ShowTextForGPT,CharacterInText,TextSplitByDelimiter
+    logging.info('ChatGPT.available True')
+
+    NODE_CLASS_MAPPINGS_V = {
+       "ChatGPTOpenAI":ChatGPTNode,
+        "ShowTextForGPT":ShowTextForGPT,
+        "CharacterInText":CharacterInText,
+        "TextSplitByDelimiter":TextSplitByDelimiter,
+    }
+
+    # 一个包含节点友好/可读的标题的字典
+    NODE_DISPLAY_NAME_MAPPINGS_V = {
+        "ChatGPTOpenAI":"ChatGPT & Local LLM ♾️Mixlab",
+        "ShowTextForGPT":"Show Text ♾️MixlabApp",
+        "CharacterInText":"Character In Text",
+        "TextSplitByDelimiter":"Text Split By Delimiter",
+    }
+
+
+    NODE_CLASS_MAPPINGS.update(NODE_CLASS_MAPPINGS_V)
+    NODE_DISPLAY_NAME_MAPPINGS.update(NODE_DISPLAY_NAME_MAPPINGS_V)
+
+except Exception as e:
+    logging.info('ChatGPT.available False')
+
+
+try:
+    from .nodes.edit_mask import EditMask
+    logging.info('edit_mask.available True')
+    NODE_CLASS_MAPPINGS['EditMask']=EditMask
+    NODE_DISPLAY_NAME_MAPPINGS['EditMask']="Edit Mask ♾️Mixlab"
+except Exception as e:
+    logging.info('edit_mask.available False')
+
 try:
    from .nodes.Lama import LaMaInpainting
    logging.info('LaMaInpainting.available {}'.format(LaMaInpainting.available))
@@ -927,4 +1074,61 @@ try:
 except Exception as e:
    logging.info('RembgNode_.available False' )

-logging.info('\033[93m -------------- \033[0m')
+
+try:
+    from .nodes.Video import GenerateFramesByCount,scenesNode_,CombineAudioVideo,VideoCombine_Adv,LoadVideoAndSegment,ImageListReplace,VAEEncodeForInpaint_Frames,LoadAndCombinedAudio_
+    
+    NODE_CLASS_MAPPINGS_V = {
+        "VAEEncodeForInpaint_Frames":VAEEncodeForInpaint_Frames,
+        "ImageListReplace_":ImageListReplace,
+        "LoadVideoAndSegment_":LoadVideoAndSegment,
+        "VideoCombine_Adv":VideoCombine_Adv,
+        "LoadAndCombinedAudio_":LoadAndCombinedAudio_,
+        "CombineAudioVideo":CombineAudioVideo,
+        "ScenesNode_":scenesNode_,
+        "GenerateFramesByCount":GenerateFramesByCount 
+    }
+
+    # 一个包含节点友好/可读的标题的字典
+    NODE_DISPLAY_NAME_MAPPINGS_V = {
+        "VAEEncodeForInpaint_Frames":"VAE Encode For Inpaint Frames ♾️Mixlab",
+        "ImageListReplace_":"Image List Replace",
+        "LoadVideoAndSegment_":"Load Video And Segment",
+        "VideoCombine_Adv":"Video Combine",
+        "LoadAndCombinedAudio_":"Load And Combined Audio",
+        "CombineAudioVideo":"Combine Audio Video",
+        "ScenesNode_":"Select Scene", 
+        "GenerateFramesByCount":"Generate Frames By Count"
+    }
+
+
+    NODE_CLASS_MAPPINGS.update(NODE_CLASS_MAPPINGS_V)
+    NODE_DISPLAY_NAME_MAPPINGS.update(NODE_DISPLAY_NAME_MAPPINGS_V)
+
+except:
+    logging.info('Video.available False')
+
+
+try:
+    from .nodes.TripoSR import LoadTripoSRModel,TripoSRSampler,SaveTripoSRMesh
+    logging.info('TripoSR.available')
+
+    NODE_CLASS_MAPPINGS['LoadTripoSRModel_']=LoadTripoSRModel
+    NODE_DISPLAY_NAME_MAPPINGS["LoadTripoSRModel_"]= "Load TripoSR Model"
+    
+    NODE_CLASS_MAPPINGS['TripoSRSampler_']=TripoSRSampler
+    NODE_DISPLAY_NAME_MAPPINGS["TripoSRSampler_"]= "TripoSR Sampler"
+
+    NODE_CLASS_MAPPINGS['SaveTripoSRMesh']=SaveTripoSRMesh
+    NODE_DISPLAY_NAME_MAPPINGS["SaveTripoSRMesh"]= "Save TripoSR Mesh"
+    
+
+except Exception as e:
+    logging.info('TripoSR.available False' )
+
+
+
+
+
+
+logging.info('\033[93m -------------- \033[0m')
@@ -11,9 +11,9 @@ if exist "%python_exec%" (
        %python_exec% -s -m pip install "%%i" -i https://pypi.tuna.tsinghua.edu.cn/simple
    )

-    %python_exec% -s -m pip install llama-cpp-python --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cu121
+    %python_exec% -s -m pip install --upgrade --force llama-cpp-python --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cu121

-    %python_exec% -s -m pip install llama-cpp-python[server]
+    %python_exec% -s -m pip install --upgrade --force llama-cpp-python[server]
    

 ) else (
@@ -1,6 +1,7 @@

-
-
+import os
+import folder_paths
+import torchaudio

 class SpeechRecognition:
    @classmethod
@@ -55,46 +56,60 @@ class SpeechSynthesis:
        return {"ui": {"text": text}, "result": (text,)}
    

-#
-class GamePal:
+
+class AudioPlayNode:
+    def __init__(self):
+        self.output_dir = folder_paths.get_temp_directory()
+        self.type = "temp"
+        self.prefix_append = ""
+        self.compress_level = 4
    @classmethod
    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "input_text": ("STRING",{"multiline": True,"default": ""}),
-            },
-            "optional": {
-                 
-                "input_num": ("INT",{
-                                "default":100, 
-                                "min": -1, #Minimum value
-                                "max": 0xffffffffffffffff, #Maximum value
-                                "step": 1, #Slider's step
-                                "display": "slider" # Cosmetic only: display as "number" or "slider"
-                                }), 
-                "python_code": ("STRING",{"multiline": True,"default": "result= 1 if 'Mixlab' in input_text else 0"}),
-            }
-        }
-
-    INPUT_IS_LIST = False
-    RETURN_TYPES = ("INT",)
+        return {"required": {
+            "audio": ("AUDIO",),
+              }, 
+                }
+    
+    RETURN_TYPES = ()
+  
    FUNCTION = "run"
-    OUTPUT_NODE = True
-    OUTPUT_IS_LIST = (False,)

    CATEGORY = "♾️Mixlab/Audio"

-    def run(self, input_text,input_num,python_code):
-        exec(python_code)
-        res=None
-        try:
-            # 可能会引发异常的代码
-            res=result
-        except:
-            # 处理异常的代码
-            print('')
+    INPUT_IS_LIST = False
+    OUTPUT_IS_LIST = ()

-        print(res)
+    OUTPUT_NODE = True
+  
+    def run(self,audio):

-        # print(session_history)
-        return {"ui": {"text": [input_text],"num":[input_num]}, "result": (res,)}
+        # 判断是否是 Tensor 类型
+        is_tensor = not isinstance(audio, dict)
+        # print('#判断是否是 Tensor 类型',is_tensor,audio)
+        if not is_tensor and 'waveform' in audio and 'sample_rate' in audio:
+            # {'waveform': tensor([], size=(1, 1, 0)), 'sample_rate': 44100}
+            is_tensor=True
+
+        if is_tensor:
+            filename_prefix=""
+            # 保存
+            filename_prefix += self.prefix_append
+            full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir)
+            results = list()
+            
+            filename_with_batch_num = filename.replace("%batch_num%", str(1))
+            file = f"{filename_with_batch_num}_{counter:05}_.wav"
+            
+            torchaudio.save(os.path.join(full_output_folder, file), audio['waveform'].squeeze(0), audio["sample_rate"])
+            results.append({
+                    "filename": file,
+                    "subfolder": subfolder,
+                    "type": self.type
+                })
+            
+        else:
+            results=[audio]
+                
+
+        # print(audio)
+        return {"ui": {"audio":results}}
@@ -215,15 +215,28 @@ class ChatGPTNode:

    @classmethod
    def INPUT_TYPES(cls):
-        model_list=llama_modes_list+[
+        model_list=llama_modes_list+[ 
                    "gpt-3.5-turbo",
-                    "gpt-3.5-turbo-0125",
-                    "gpt-35-turbo",
-                    "gpt-3.5-turbo-16k", 
-                    "gpt-3.5-turbo-16k-0613", 
-                    "gpt-4-0613",
-                    "gpt-4-1106-preview",
-                    "glm-4"
+            "gpt-3.5-turbo-16k",
+            "gpt-4o",
+            "gpt-4o-2024-05-13",
+            "gpt-4",
+            "gpt-4-0314",
+            "gpt-4-0613",
+            "gpt-3.5-turbo-0301",
+            "gpt-3.5-turbo-0613",
+            "gpt-3.5-turbo-16k-0613",
+            "qwen-turbo",
+            "qwen-plus",
+            "qwen-long",
+            "qwen-max",
+            "qwen-max-longcontext",
+            "glm-4",
+            "glm-3-turbo",
+            "moonshot-v1-8k",
+            "moonshot-v1-32k",
+            "moonshot-v1-128k",
+            "deepseek-chat" 
                    ]
        return {
            "required": {
@@ -70,14 +70,20 @@ def load_caption_model(model_path,config,t='blip-base'):
    return (caption_model,caption_processor)
    

+def get_clip_interrogator_path():
+    try:
+        return folder_paths.get_folder_paths('clip_interrogator')[0]
+    except:
+        return os.path.join(folder_paths.models_dir, "clip_interrogator")

-caption_model_path=os.path.join(folder_paths.models_dir, "clip_interrogator/Salesforce/blip-image-captioning-base")
+
+cache_path=get_clip_interrogator_path()
+
+caption_model_path=os.path.join(cache_path, "Salesforce","blip-image-captioning-base")
 if not os.path.exists(caption_model_path):
    print(f"## clip_interrogator_model not found: {caption_model_path}, pls download from https://huggingface.co/Salesforce/blip-image-captioning-base")
    caption_model_path='Salesforce/blip-image-captioning-base'

-cache_path=os.path.join(folder_paths.models_dir, "clip_interrogator")
-

 # Tensor to PIL
 def tensor2pil(image):
@@ -1,6 +1,7 @@
 import numpy as np
 import requests
 import torch
+import torchvision.transforms.v2 as T
 # from PIL import Image, ImageDraw
 from PIL import Image, ImageOps,ImageFilter,ImageEnhance,ImageDraw,ImageSequence, ImageFont
 from PIL.PngImagePlugin import PngInfo
@@ -14,8 +15,8 @@ import cv2
 import string
 import math,glob
 from .Watcher import FolderWatcher
-import hashlib

+from itertools import product


 # 将PIL图片转换为OpenCV格式
@@ -28,142 +29,102 @@ def opencv_to_pil(image):
    pil_image = Image.fromarray(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
    return pil_image

+# 列出目录下面的所有文件
+def get_files_with_extension(directory, extension):
+    file_list = []
+    for root, dirs, files in os.walk(directory):
+        for file in files:
+            if file.endswith(extension):
+                file = os.path.splitext(file)[0]
+                file_path = os.path.join(root, file)
+                file_name = os.path.relpath(file_path, directory)
+                file_list.append(file_name)
+    return file_list

-def composite_images(foreground, background, mask,is_multiply_blend=False,position="overall"):
-    width,height=foreground.size
- 
-    bg_image=background
+def composite_images(foreground, background, mask, is_multiply_blend=False, position="overall", scale=0.25):
+    width, height = foreground.size
+    bg_image = background
+    bwidth, bheight = bg_image.size

-    bwidth,bheight=bg_image.size
+    scale=max(scale,1/bwidth)
+    scale=max(scale,1/bheight)

-    # 按z-index排序
-    if position=="overall":
+    def determine_scale_option(width, height):
+        return 'height' if height > width else 'width'
+
+    if position == "overall":
        layer = {
-                "x":0,
-                "y":0,
-                "width":bwidth,
-                "height":bheight,
-                "z_index":88,
-                "scale_option":'overall',
-                "image":foreground,
-                "mask":mask
+            "x": 0,
+            "y": 0,
+            "width": bwidth,
+            "height": bheight,
+            "z_index": 88,
+            "scale_option": 'overall',
+            "image": foreground,
+            "mask": mask
        }
+    else:
+        scale_option = determine_scale_option(width, height)
+        if scale_option == 'height':
+            scale = int(bheight * scale) / height
+        else:
+            scale = int(bwidth * scale) / width

-    elif position=='center_bottom':
-        
-        scale = int(bwidth*0.25) / width
+        new_width = int(width * scale)
        new_height = int(height * scale)

-        layer = {
-                "x":int(bwidth*0.75*0.5),
-                "y":bheight-new_height-24,
-                "width":int(bwidth*0.25),
-                "height":int(bheight*0.25),
-                "z_index":88,
-                "scale_option":'width',
-                "image":foreground,
-                "mask":mask
-        }
-
-    elif position=='right_bottom':
-        
-        scale = int(bwidth*0.25) / width
-        new_height = int(height * scale)
+        if position == 'center_bottom':
+            x_position = int((bwidth - new_width) * 0.5)
+            y_position = bheight - new_height - 24
+        elif position == 'right_bottom':
+            x_position = bwidth - new_width - 24
+            y_position = bheight - new_height - 24
+        elif position == 'center_top':
+            x_position = int((bwidth - new_width) * 0.5)
+            y_position = 24
+        elif position == 'right_top':
+            x_position = bwidth - new_width - 24
+            y_position = 24
+        elif position == 'left_top':
+            x_position = 24
+            y_position = 24
+        elif position == 'left_bottom':
+            x_position = 24
+            y_position = bheight - new_height - 24
+        elif position == 'center_center':
+            x_position = int((bwidth - new_width) * 0.5)
+            y_position = int((bheight - new_height) * 0.5)

        layer = {
-                "x":bwidth-int(bwidth*0.25)-24,
-                "y":bheight-new_height-24,
-                "width":int(bwidth*0.25),
-                "height":int(bheight*0.25),
-                "z_index":88,
-                "scale_option":'width',
-                "image":foreground,
-                "mask":mask
+            "x": x_position,
+            "y": y_position,
+            "width": new_width,
+            "height": new_height,
+            "z_index": 88,
+            "scale_option": scale_option,
+            "image": foreground,
+            "mask": mask
        }

+    layer_image = layer['image']
+    layer_mask = layer['mask']

-    elif position=='center_top':
-        
-        scale = int(bwidth*0.25) / width
-        new_height = int(height * scale)
+    bg_image = merge_images(bg_image,
+                            layer_image,
+                            layer_mask,
+                            layer['x'],
+                            layer['y'],
+                            layer['width'],
+                            layer['height'],
+                            layer['scale_option'],
+                            is_multiply_blend)

-        layer = {
-                "x":int( bwidth*0.75*0.5),
-                "y":24,
-                "width":int(bwidth*0.25),
-                "height":int(bheight*0.25),
-                "z_index":88,
-                "scale_option":'width',
-                "image":foreground,
-                "mask":mask
-        }
+    bg_image = bg_image.convert('RGB')

-    elif position=='right_top':
-        
-        scale = int(bwidth*0.25) / width
-        new_height = int(height * scale)
-
-        layer = {
-                "x":bwidth-int(bwidth*0.25)-24,
-                "y":24,
-                "width":int(bwidth*0.25),
-                "height":int(bheight*0.25),
-                "z_index":88,
-                "scale_option":'width',
-                "image":foreground,
-                "mask":mask
-        }
-    elif position=='left_top':
-        
-        scale = int(bwidth*0.25) / width
-        new_height = int(height * scale)
-
-        layer = {
-                "x":24,
-                "y":24,
-                "width":int(bwidth*0.25),
-                "height":int(bheight*0.25),
-                "z_index":88,
-                "scale_option":'width',
-                "image":foreground,
-                "mask":mask
-        }
-    elif position=='left_bottom':
-        
-        scale = int(bwidth*0.25) / width
-        new_height = int(height * scale)
-
-        layer = {
-                "x":24,
-                "y":bheight-new_height-24,
-                "width":int(bwidth*0.25),
-                "height":int(bheight*0.25),
-                "z_index":88,
-                "scale_option":'width',
-                "image":foreground,
-                "mask":mask
-        }
-                
-    # width, height = bg_image.size
-
-    layer_image=layer['image']
-    layer_mask=layer['mask']
-    
-    bg_image=merge_images(bg_image,
-                        layer_image,
-                        layer_mask,
-                        layer['x'],
-                        layer['y'],
-                        layer['width'],
-                        layer['height'],
-                        layer['scale_option'],
-                        is_multiply_blend )
-                   
-    bg_image=bg_image.convert('RGB')
-    
    return bg_image


+
 def count_files_in_directory(directory):
    file_count = 0
    for _, _, files in os.walk(directory):
@@ -200,7 +161,8 @@ class AnyType(str):
 any_type = AnyType("*")


-FONT_PATH= os.path.abspath(os.path.join(os.path.dirname(__file__),'../assets/王汉宗颜楷体繁.ttf'))
+FONT_PATH= os.path.abspath(os.path.join(os.path.dirname(__file__),"..","assets","fonts"))
+

 MAX_RESOLUTION=8192

@@ -802,85 +764,78 @@ def multiply_blend(image1, image2):

 # cv2.imwrite('result.jpg', result)

+# 使用gpt4o优化代码
+# 为了消除图像合并时出现的灰色描边，可以使用以下方法：
+# 调整透明度：确保透明像素不会引入不需要的颜色。
+# 预处理图像：在缩放图像之前，可以先将图像的边缘进行预处理，例如扩展边缘颜色，减少抗锯齿带来的过渡效果。

-def merge_images(bg_image, layer_image, mask, x, y, width, height, scale_option,is_multiply_blend=False):
+def merge_images(bg_image, layer_image, mask, x, y, width, height, scale_option, is_multiply_blend=False):
    # 打开底图
    bg_image = bg_image.convert("RGBA")

    # 打开图层
    layer_image = layer_image.convert("RGBA")
-    # layer_image = layer_image.resize((width, height))
-
+   
    # 根据缩放选项调整图像大小
    if scale_option == "height":
        # 按照高度比例缩放
        original_width, original_height = layer_image.size
        scale = height / original_height
        new_width = int(original_width * scale)
-        layer_image = layer_image.resize((new_width, height))
+        layer_image = layer_image.resize((new_width, height), Image.NEAREST)
    elif scale_option == "width":
        # 按照宽度比例缩放
        original_width, original_height = layer_image.size
        scale = width / original_width
        new_height = int(original_height * scale)
-        layer_image = layer_image.resize((width, new_height))
+        layer_image = layer_image.resize((width, new_height), Image.NEAREST)
    elif scale_option == "overall":
        # 整体缩放
-        layer_image = layer_image.resize((width, height))
-
+        layer_image = layer_image.resize((width, height), Image.NEAREST)
    elif scale_option == "longest":
        original_width, original_height = layer_image.size
        if original_width > original_height:
-            new_width=width
+            new_width = width
            scale = width / original_width
            new_height = int(original_height * scale)
-            x=0
-            y=int((height-new_height)*0.5)
+            x = 0
+            y = int((height - new_height) * 0.5)
        else:
-            new_height=height
+            new_height = height
            scale = height / original_height
            new_width = int(original_height * scale)
-            x=int((width-new_width)*0.5)
-            y=0
-    # elif side == "shortest":
-    #         if width < height:
-    #              
-    #         else:
-    #              
-    
+            x = int((width - new_width) * 0.5)
+            y = 0

    # 调整mask的大小
    nw, nh = layer_image.size
-    mask = mask.resize((nw, nh))
+    mask = mask.resize((nw, nh), Image.NEAREST)

-    # # 分离出a通道
-    # r, g, b, alpha = layer_image.split()
-    # alpha = ImageOps.invert(alpha)
-    # # 创建一个新的RGB图像
-    # new_rgb_image = Image.new("RGB", layer_image.size)
-    # # 将透明通道粘贴到新的RGB图像上
-    # new_rgb_image.paste(layer_image, (0, 0), mask=alpha)
-   
-    # new_rgb_image.paste(layer_image, (x, y), mask=mask)
-    # mask=new_rgb_image.convert('L')
-    # mask = ImageOps.invert(mask)
+    # 预处理图像边缘以减少灰色描边
+    layer_image = layer_image.filter(ImageFilter.SMOOTH)

    if is_multiply_blend:
-        bg_image_white=Image.new("RGB", bg_image.size,(255, 255, 255))
+        bg_image_white = Image.new("RGB", bg_image.size, (255, 255, 255))

        bg_image_white.paste(layer_image, (x, y), mask=mask)
-        bg_image=multiply_blend(bg_image_white,bg_image)
-        bg_image=bg_image.convert("RGBA")
+        bg_image = multiply_blend(bg_image_white, bg_image)
+        bg_image = bg_image.convert("RGBA")
    else:
-        transparent_img = Image.new("RGBA",layer_image.size, (255, 255, 255, 0))
-        transparent_img.paste(layer_image,(0, 0), mask)
-        # transparent_img.save('test.png')
-        bg_image.paste(transparent_img, (x, y), transparent_img)
+        transparent_img = Image.new("RGBA", layer_image.size, (255, 255, 255, 0))
+        # 调整透明度处理
+        for i in range(transparent_img.size[0]):
+            for j in range(transparent_img.size[1]):
+                r, g, b, a = transparent_img.getpixel((i, j))
+                if a > 0:
+                    transparent_img.putpixel((i, j), (r, g, b, 255))

+        transparent_img.paste(layer_image, (0, 0), mask)
+        bg_image.paste(transparent_img, (x, y), transparent_img)

    # 输出合成后的图片
    return bg_image

+#MixCopilot

 def resize_2(img):
    # 检查图像的高度是否是2的倍数，如果不是，则调整高度
@@ -954,53 +909,13 @@ def resize_image(layer_image, scale_option, width, height,color="white"):
    return layer_image


-
-
-
-
-# def generate_text_image(text_list, font_path, font_size, text_color, vertical=True, spacing=0):
-#     # Load Chinese font
-#     font = ImageFont.truetype(font_path, font_size)
-
-#     # Calculate image size based on the number of characters and orientation
-#     if vertical:
-#         width = font_size + 100
-#         height = font_size * len(text_list) + (len(text_list) - 1) * spacing + 100
-#     else:
-#         width = font_size * len(text_list) + (len(text_list) - 1) * spacing + 100
-#         height = font_size + 100
-
-#     # Create a blank image
-#     image = Image.new('RGBA', (width, height), (255, 255, 255,0))
-#     draw = ImageDraw.Draw(image)
-
-#     # Draw text
-#     if vertical:
-#         for i, char in enumerate(text_list):
-#             char_position = (50, 50 + i * font_size)
-#             draw.text(char_position, char, font=font, fill=text_color)
-#     else:
-#         for i, char in enumerate(text_list):
-#             char_position = (50 + i * (font_size + spacing), 50)
-#             draw.text(char_position, char, font=font, fill=text_color)
-
-#     # Save the image
-#     # image.save(output_image_path)
-
-#     # 分离alpha通道
-#     alpha_channel = image.split()[3]
-
-#     # 创建一个只有alpha通道的新图像
-#     alpha_image = Image.new('L', image.size)
-#     alpha_image.putdata(alpha_channel.getdata())
-
-#     image=image.convert('RGB')
-
-#     return (image,alpha_image)
-def generate_text_image(text, font_path, font_size, text_color, vertical=True, stroke=False, stroke_color=(0, 0, 0), stroke_width=1, spacing=0):
+def generate_text_image(text, font_path, font_size, text_color, vertical=True, stroke=False, stroke_color=(0, 0, 0), stroke_width=1, spacing=0, padding=4):
    # Split text into lines based on line breaks
    lines = text.split("\n")

+    # Load font
+    font = ImageFont.truetype(font_path, font_size)
+
    # 1. Determine layout direction
    if vertical:
        layout = "vertical"
@@ -1009,49 +924,46 @@ def generate_text_image(text, font_path, font_size, text_color, vertical=True, s

    # 2. Calculate absolute coordinates for each character
    char_coordinates = []
-    if layout == "vertical":
-        x = 0
-        y = 0
-        for i in range(len(lines)):
-            line = lines[i]
-            for char in line:
-                char_coordinates.append((x, y))
-                y += font_size + spacing
-            x += font_size + spacing
-            y = 0
-    else:
-        x = 0
-        y = 0
-        for line in lines:
-            for char in line:
-                char_coordinates.append((x, y))
-                x += font_size + spacing
-            y += font_size + spacing
-            x = 0
+    x, y = padding, padding
+    max_width, max_height = 0, 0

-    # 3. Calculate image width and height
    if layout == "vertical":
-        width = (len(lines) * (font_size + spacing)) - spacing
-        height = ((len(max(lines, key=len)) + 1) * (font_size + spacing)) + spacing
+        for line in lines:
+            max_char_width = max(font.getsize(char)[0] for char in line)
+            for char in line:
+                char_width, char_height = font.getsize(char)
+                char_coordinates.append((x, y))
+                y += char_height + spacing
+                max_height = max(max_height, y + padding)
+            x += max_char_width + spacing
+            y = padding
+        max_width = x
    else:
-        width = (len(max(lines, key=len)) * (font_size + spacing)) - spacing
-        height = ((len(lines) - 1) * (font_size + spacing)) + font_size
+        for line in lines:
+            line_width, line_height = font.getsize(line)
+            for char in line:
+                char_width, char_height = font.getsize(char)
+                char_coordinates.append((x, y))
+                x += char_width + spacing
+                max_width = max(max_width, x + padding)
+            y += line_height + spacing
+            x = padding
+        max_height = y
+
+    # 3. Create image with calculated width and height
+    image = Image.new('RGBA', (max_width, max_height), (255, 255, 255, 0))
+    draw = ImageDraw.Draw(image)

    # 4. Draw each character on the image
-    image = Image.new('RGBA', (width, height), (255, 255, 255, 0))
-    draw = ImageDraw.Draw(image)
-    font = ImageFont.truetype(font_path, font_size)
-
    index = 0
-    for i, line in enumerate(lines):
-        for j, char in enumerate(line):
+    for line in lines:
+        for char in line:
            x, y = char_coordinates[index]
-            
            if stroke:
-                draw.text((x-stroke_width, y), char, font=font, fill=stroke_color)
-                draw.text((x+stroke_width, y), char, font=font, fill=stroke_color)
-                draw.text((x, y-stroke_width), char, font=font, fill=stroke_color)
-                draw.text((x, y+stroke_width), char, font=font, fill=stroke_color)
+                draw.text((x-stroke_width, y), char, font=font, fill=text_color)
+                draw.text((x+stroke_width, y), char, font=font, fill=text_color)
+                draw.text((x, y-stroke_width), char, font=font, fill=text_color)
+                draw.text((x, y+stroke_width), char, font=font, fill=text_color)
            
            draw.text((x, y), char, font=font, fill=text_color)
            index += 1
@@ -1578,7 +1490,7 @@ class ImageCropByAlpha:



-
+# get_files_with_extension(FONT_PATH,'.ttf')

 class TextImage:
    @classmethod
@@ -1586,7 +1498,7 @@ class TextImage:
        return {"required": { 
            
                    "text": ("STRING",{"multiline": True,"default": "龍馬精神迎新歲","dynamicPrompts": False}),
-                    "font_path": ("STRING",{"multiline": False,"default": FONT_PATH,"dynamicPrompts": False}),
+                    "font": (get_files_with_extension(FONT_PATH,'.ttf'),),#后缀为 ttf
                    "font_size": ("INT",{
                                "default":100, 
                                "min": 100, #Minimum value
@@ -1601,6 +1513,13 @@ class TextImage:
                                "step": 1, #Slider's step
                                "display": "number" # Cosmetic only: display as "number" or "slider"
                                }), 
+                    "padding": ("INT",{
+                                "default":8, 
+                                "min": 0, #Minimum value
+                                "max": 200, #Maximum value
+                                "step": 1, #Slider's step
+                                "display": "number" # Cosmetic only: display as "number" or "slider"
+                                }), 
                    "text_color":("STRING",{"multiline": False,"default": "#000000","dynamicPrompts": False}),
                    "vertical":("BOOLEAN", {"default": True},),
                    "stroke":("BOOLEAN", {"default": False},),
@@ -1608,7 +1527,7 @@ class TextImage:
                }
    
    RETURN_TYPES = ("IMAGE","MASK",)
-    # RETURN_NAMES = ("WIDTH","HEIGHT","X","Y",)
+    RETURN_NAMES = ("image","mask",)

    FUNCTION = "run"

@@ -1617,11 +1536,14 @@ class TextImage:
    INPUT_IS_LIST = False
    OUTPUT_IS_LIST = (False,False,)

-    def run(self,text,font_path,font_size,spacing,text_color,vertical,stroke):
+    def run(self,text,font,font_size,spacing,padding,text_color,vertical,stroke):
        
-        # text_list=list(text)
+        font_path=os.path.join(FONT_PATH,font+'.ttf')
+
+        if text=="":
+            text=" "
        # stroke=False, stroke_color=(0, 0, 0), stroke_width=1, spacing=0
-        img,mask=generate_text_image(text,font_path,font_size,text_color,vertical,stroke,(0, 0, 0),1,spacing)
+        img,mask=generate_text_image(text,font_path,font_size,text_color,vertical,stroke,(0, 0, 0),1,spacing,padding)
        
        img=pil2tensor(img)
        mask=pil2tensor(mask)
@@ -1854,10 +1776,16 @@ class CompositeImages:
                    "mask":("MASK",),
                    "background": ("IMAGE",),
                    },
-             "optional":{
-                           
+             "optional":{ 
                  "is_multiply_blend":  ("BOOLEAN", {"default": False}),
-                  "position":  (['overall',"center_bottom","center_top","right_bottom","left_bottom","right_top","left_top"],),    
+                  "position":  (['overall',"center_center","left_bottom","center_bottom","right_bottom","left_top","center_top","right_top"],),
+                   "scale": ("FLOAT",{
+                                "default":0.35, 
+                                "min": 0.01, #Minimum value
+                                "max": 1, #Maximum value
+                                "step": 0.01, #Slider's step
+                                "display": "number" # Cosmetic only: display as "number" or "slider"
+                            }), 
                    }
                }
    
@@ -1870,15 +1798,33 @@ class CompositeImages:

    # OUTPUT_IS_LIST = (True,)

-    def run(self, foreground,mask,background,is_multiply_blend,position):
-        foreground= tensor2pil(foreground)
-        mask= tensor2pil(mask)
-        background= tensor2pil(background)
-        res=composite_images(foreground,background,mask,is_multiply_blend,position)
+    # def run(self, foreground,mask,background,is_multiply_blend,position,scale):
+    #     foreground= tensor2pil(foreground)
+    #     mask= tensor2pil(mask)
+    #     background= tensor2pil(background)
+    #     res=composite_images(foreground,background,mask,is_multiply_blend,position,scale)
        
-        return (pil2tensor(res),)
+    #     return (pil2tensor(res),)

+    def run(self, foreground,mask,background, is_multiply_blend, position, scale):
+        results = []
+        
+        f1=[]
+        for fg, mask in zip(foreground, mask ):
+            f1.append([fg,mask])

+        
+        for f, bg in product(f1, background):
+            [fg,mask]=f
+            fg_pil = tensor2pil(fg)
+            mask_pil = tensor2pil(mask)
+            bg_pil = tensor2pil(bg)
+            res = composite_images(fg_pil, bg_pil, mask_pil, is_multiply_blend, position, scale)
+            results.append(pil2tensor(res))
+        
+        output_image = torch.cat(results, dim=0)
+
+        return (output_image,)


 class EmptyLayer:
@@ -2983,6 +2929,65 @@ 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):
@@ -3148,3 +3153,52 @@ class SaveImageToLocal:
            counter += 1

        return ()
+
+
+class ImageBatchToList_:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"image_batch": ("IMAGE",), }}
+
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("image_list",)
+    OUTPUT_IS_LIST = (True,)
+    FUNCTION = "run"
+
+    CATEGORY = "♾️Mixlab/Image"
+
+    def run(self, image_batch):
+        images = [image_batch[i:i + 1, ...] for i in range(image_batch.shape[0])]
+        return (images, )
+
+class ImageListToBatch_:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "images": ("IMAGE",),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "run"
+    INPUT_IS_LIST = True
+    CATEGORY = "♾️Mixlab/Image"
+
+    def run(self, images):
+        shape = images[0].shape[1:3]
+        out = []
+
+        for i in range(len(images)):
+            img = images[i].permute([0,3,1,2])
+            if images[i].shape[1:3] != shape:
+                transforms = T.Compose([
+                    T.CenterCrop(min(img.shape[2], img.shape[3])),
+                    T.Resize((shape[0], shape[1]), interpolation=T.InterpolationMode.BICUBIC),
+                ])
+                img = transforms(img)
+            out.append(img.permute([0,2,3,1]))
+
+        out = torch.cat(out, dim=0)
+
+        return (out,)
@@ -42,8 +42,13 @@ else:
    _available=True


- 
-llma_model_path=os.path.join(folder_paths.models_dir, "lama/big-lama.pt")
+def get_lama_path():
+    try:
+        return folder_paths.get_folder_paths('lama')[0]
+    except:
+        return os.path.join(folder_paths.models_dir, "lama")
+
+llma_model_path=os.path.join(get_lama_path(), "big-lama.pt")
 if not os.path.exists(llma_model_path):
    os.environ['LAMA_MODEL']=''
    print(f"## lama torchscript model not found: {llma_model_path},pls download from https://github.com/enesmsahin/simple-lama-inpainting/releases/download/v0.1.0/big-lama.pt")
@@ -80,8 +85,6 @@ class LaMaInpainting:
            "image": ("IMAGE",),
            "mask": ("MASK",),
                             },
-
-            
                }
    
    RETURN_TYPES = ("IMAGE",)
@@ -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]

@@ -90,7 +90,7 @@ class ScreenShareNode:
                } }
    
    RETURN_TYPES = ('IMAGE','STRING','FLOAT',"INT")
-    RETURN_NAMES = ("IMAGE","PROMPT","FLOAT","INT")
+    RETURN_NAMES = ("current frame (image)","prompt","denoise (float)","seed (int)")
    FUNCTION = "run"

    CATEGORY = "♾️Mixlab/Screen"
@@ -109,7 +109,7 @@ class FloatingVideo:
    @classmethod
    def INPUT_TYPES(s):
        return { "required":{
-            "images": ("IMAGE",)
+            "image": ("IMAGE",)
        }, }
    
    # RETURN_TYPES = ('IMAGE','MASK')
@@ -124,16 +124,16 @@ class FloatingVideo:
    # OUTPUT_IS_LIST = (False,False,)
  
    # 运行的函数
-    def run(self,images):
+    def run(self,image):
       
        results = list()
    
-        for image in images:
-            image=tensor2pil(image)
+        for im in image:
+            im=tensor2pil(im)
            # image_base64 = base64.b64encode(image.tobytes())

            buffered = BytesIO()
-            image.save(buffered, format="JPEG")
+            im.save(buffered, format="JPEG")
            image_base64 = base64.b64encode(buffered.getvalue()).decode("utf-8")

            results.append(image_base64)
@@ -18,19 +18,25 @@ from lark import Lark, Transformer, v_args
 global _available
 _available=True

+def get_text_generator_path():
+    try:
+        return folder_paths.get_folder_paths('prompt_generator')[0]
+    except:
+        return os.path.join(folder_paths.models_dir, "prompt_generator")

-text_generator_model_path=os.path.join(folder_paths.models_dir, "prompt_generator/text2image-prompt-generator")
+prompt_generator=get_text_generator_path()
+
+text_generator_model_path=os.path.join(prompt_generator, "text2image-prompt-generator")
 if not os.path.exists(text_generator_model_path):
    print(f"## text_generator_model not found: {text_generator_model_path}, pls download from https://huggingface.co/succinctly/text2image-prompt-generator/tree/main")
    text_generator_model_path='succinctly/text2image-prompt-generator'

-zh_en_model_path=os.path.join(folder_paths.models_dir, "prompt_generator/opus-mt-zh-en")
+zh_en_model_path=os.path.join(prompt_generator, "opus-mt-zh-en")
 if not os.path.exists(zh_en_model_path):
    print(f"## zh_en_model not found: {zh_en_model_path}, pls download from https://huggingface.co/Helsinki-NLP/opus-mt-zh-en/tree/main")
    zh_en_model_path='Helsinki-NLP/opus-mt-zh-en'


-
 def is_installed(package):
    try:
        spec = importlib.util.find_spec(package)
@@ -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
@@ -133,7 +133,7 @@ def get_font_files(directory):

    return font_files

-r_directory = os.path.join(os.path.dirname(__file__), '../assets/')
+r_directory = os.path.join(os.path.dirname(__file__), '..','assets','/')

 font_files = get_font_files(r_directory)
 # print(font_files)
@@ -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
@@ -568,7 +566,7 @@ class AppInfo:
                             },

                "optional":{
-                    "IMAGE": ("IMAGE",),
+                    "image": ("IMAGE",),
                    "description":("STRING",{"multiline": True,"default": "","dynamicPrompts": False}),
                    "version":("INT", {
                        "default": 1, 
@@ -596,12 +594,12 @@ class AppInfo:
    INPUT_IS_LIST = True
    # OUTPUT_IS_LIST = (True,)

-    def run(self,name,input_ids,output_ids,IMAGE,description,version,share_prefix,link,category,auto_save):
+    def run(self,name,input_ids,output_ids,image,description,version,share_prefix,link,category,auto_save):
        name=name[0]
        
        im=None
-        if IMAGE:
-            im=IMAGE[0][0]
+        if image:
+            im=image[0][0]
            #TODO batch 的方式需要处理
            im=create_temp_file(im)
        # image [img,] img[batch,w,h,a] 列表里面是batch，
@@ -17,9 +17,128 @@ import folder_paths
 from comfy.k_diffusion.utils import FolderOfImages
 from comfy.utils import common_upscale

+import torchaudio
+import base64
+
+import mimetypes



+def get_frames(frame_count, frames, revert=False):
+    if not revert:
+        if frame_count <= len(frames):
+            return frames[:frame_count]
+        else:
+            return [frames[i % len(frames)] for i in range(frame_count)]
+    else:
+        extended_frames = frames + frames[-2:0:-1]  # 正向加反向中间部分
+        if frame_count <= len(extended_frames):
+            return extended_frames[:frame_count]
+        else:
+            return [extended_frames[i % len(extended_frames)] for i in range(frame_count)]
+
+# # 示例用法
+# frames = ["frame1", "frame2", "frame3"]
+# frame_count = 2
+
+# result = get_frames(frame_count, frames, revert=False)
+# print(result)  # 输出: ['frame1', 'frame2', 'frame3', 'frame1', 'frame2', 'frame3', 'frame1']
+
+# result = get_frames(frame_count, frames, revert=True)
+# print(result)  # 输出: ['frame1', 'frame2', 'frame3', 'frame2', 'frame1', 'frame2', 'frame3']
+
+
+
+
+def get_mime_type(file_path):
+    # 获取文件的 MIME 类型
+    mime_type, _ = mimetypes.guess_type(file_path)
+    
+    # 如果无法猜测类型，返回默认类型
+    if mime_type is None:
+        return 'application/octet-stream'
+    
+    return mime_type
+# import subprocess
+# from imageio_ffmpeg import get_ffmpeg_exe
+
+
+def save_audio_base64s_to_file(base64_audios, output_folder, file_name):
+    # Ensure the output folder exists
+    if not os.path.exists(output_folder):
+        os.makedirs(output_folder)
+
+    decoded_audios=[]
+    for a in base64_audios:
+    
+        # If the base64 string contains a header, remove it
+        if ',' in a:
+            a = a.split(',')[1]
+        
+        # 解码 base64 数据
+        a=base64.b64decode(a)
+        decoded_audios.append(a)
+
+    # 拼接音频数据
+    combined_audio = b''.join(decoded_audios)
+    
+    # Create the full file path
+    file_path = os.path.join(output_folder, file_name)
+    
+    # Write the decoded audio to the file
+    with open(file_path, 'wb') as audio_file:
+        audio_file.write(combined_audio)
+    
+    return file_path
+
+# Example usage
+# base64_audio = "data:audio/wav;base64,UklGRiQAAABXQVZFZm10IBAAAAABAAEAIlYAAESsAAACABAAZGF0YQAAAAA="
+# output_folder = "audio_files"
+# file_name = "output.wav"
+
+# file_path = save_audio_base64_to_file(base64_audio, output_folder, file_name)
+# print(f"Audio saved to: {file_path}")
+
+# 写一个python文件，用来 判断文件夹内命名为 所有chat_tts开头的文件数量（chat_tts_00001），并输出新的编号
+def get_new_counter(full_output_folder, filename_prefix):
+    # 获取目录中的所有文件
+    files = os.listdir(full_output_folder)
+    
+    # 过滤出以 filename_prefix 开头并且后续部分为数字的文件
+    filtered_files = []
+    for f in files:
+        if f.startswith(filename_prefix):
+            # 去掉文件名中的前缀和后缀，只保留中间的数字部分
+            base_name = f[len(filename_prefix)+1:]
+            number_part = base_name.split('.')[0]  # 假设文件名中只有一个点，即扩展名
+            if number_part.isdigit():
+                filtered_files.append(int(number_part))
+
+    if not filtered_files:
+        return 1
+
+    # 获取最大的编号
+    max_number = max(filtered_files)
+    
+    # 新的编号
+    return max_number + 1
+
+def crop_audio(input_file, start_time, duration):
+    # Load the audio file
+    audio_tensor, sample_rate = torchaudio.load(input_file)
+    
+    # Convert start_time and duration from seconds to sample indices
+    start_sample = int(start_time * sample_rate)
+    end_sample = start_sample + int(duration * sample_rate)
+    
+    # Perform the slicing
+    cropped_audio_tensor = audio_tensor[:, start_sample:end_sample]
+    
+    # Save the cropped audio to a new file
+    torchaudio.save(input_file, cropped_audio_tensor, sample_rate)
+    
+    return input_file
+
 def generate_folder_name(directory,video_path):
    # Get the directory and filename from the video path
    _, filename = os.path.split(video_path)
@@ -60,6 +179,9 @@ def split_video(video_path, video_segment_frames, transition_frames, output_dir)
        
        # 打印当前片段的起始帧和结束帧
        print(f"Segment {i+1}: Start Frame {start_frame}, End Frame {end_frame}")
+
+        if end_frame<start_frame:
+            break
        
        # 保存当前片段为一个视频文件
        segment_video_path = f"{output_dir}/segment_{i+1}.avi"
@@ -68,6 +190,7 @@ def split_video(video_path, video_segment_frames, transition_frames, output_dir)
        segment_video = cv2.VideoWriter(segment_video_path, fourcc, fps, (int(video_capture.get(cv2.CAP_PROP_FRAME_WIDTH)),
                                                              int(video_capture.get(cv2.CAP_PROP_FRAME_HEIGHT))))
        
+
        for frame_num in range(start_frame, end_frame):
            ret, frame = video_capture.read()
            if ret:
@@ -87,7 +210,7 @@ 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"]
 )
@@ -101,6 +224,25 @@ if ffmpeg_path is None:
    except:
        print("ffmpeg could not be found. Outputs that require it have been disabled")

+
+def combine_audio_video(audio_path, video_path, output_path):
+   
+    command = [
+        ffmpeg_path,
+        '-i', video_path,
+        '-i', audio_path,
+        '-c:v', 'copy',
+        '-c:a', 'aac',
+        '-shortest',
+        output_path
+    ]
+    
+    subprocess.run(command, check=True)
+    return output_path
+
+
+
+
 # Tensor to PIL
 def tensor2pil(image):
    return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8))
@@ -262,7 +404,7 @@ class LoadVideoAndSegment:
                    files.append(f)
        return {"required": {
                    "video": (sorted(files), {"video_upload": True}),
-                     "video_segment_frames": ("INT", {"default": 10, "min": 1, "step": 1}),
+                     "video_segment_frames": ("INT", {"default": 10, "min": -1, "step": 1}),
                     "transition_frames": ("INT", {"default": 0, "min": 0, "step": 1}), 
                     },}

@@ -332,63 +474,6 @@ class LoadVideoAndSegment:
        
        video_path = folder_paths.get_annotated_filepath(video)
        
-        # check if video is a gif - will need to use cv fallback to read frames
-        # use cv fallback if ffmpeg not installed or gif
-        # if ffmpeg_path is None:
-        #     return self.load_video_cv_fallback(video, frame_load_cap, skip_first_frames)
-        # otherwise, continue with ffmpeg
-        
-        # args_dummy = [ffmpeg_path, "-i", video_path, "-f", "null", "-"]
-        # try:
-        #     with subprocess.Popen(args_dummy, stdout=subprocess.DEVNULL, stderr=subprocess.PIPE) as proc:
-        #         for line in proc.stderr.readlines():
-        #             match = re.search(", ([1-9]|\\d{2,})x(\\d+)",line.decode('utf-8'))
-        #             if match is not None:
-        #                 size = [int(match.group(1)), int(match.group(2))]
-        #                 break
-        # except Exception as e:
-        #     print(f"Retrying with opencv due to ffmpeg error: {e}")
-        #     return self.load_video_cv_fallback(video, frame_load_cap, skip_first_frames)
-        # args_all_frames = [ffmpeg_path, "-i", video_path, "-v", "error",
-        #                      "-pix_fmt", "rgb24"]
-
-        # vfilters = []
-       
-        # if skip_first_frames > 0:
-        #     vfilters.append(f"select=gt(n\\,{skip_first_frames-1})")
-        # if frame_load_cap > 0:
-        #     vfilters.append(f"select=gt({frame_load_cap}\\,n)")
-        # #manually calculate aspect ratio to ensure reads remain aligned
-        
-        # if len(vfilters) > 0:
-        #     args_all_frames += ["-vf", ",".join(vfilters)]
-
-        # args_all_frames += ["-f", "rawvideo", "-"]
-        # images = []
-        # try:
-        #     with subprocess.Popen(args_all_frames, stdout=subprocess.PIPE) as proc:
-        #         #Manually buffer enough bytes for an image
-        #         bpi = size[0]*size[1]*3
-        #         current_bytes = bytearray(bpi)
-        #         current_offset=0
-        #         while True:
-        #             bytes_read = proc.stdout.read(bpi - current_offset)
-        #             if bytes_read is None:#sleep to wait for more data
-        #                 time.sleep(.2)
-        #                 continue
-        #             if len(bytes_read) == 0:#EOF
-        #                 break
-        #             current_bytes[current_offset:len(bytes_read)] = bytes_read
-        #             current_offset+=len(bytes_read)
-        #             if current_offset == bpi:
-        #                 images.append(np.array(current_bytes, dtype=np.float32).reshape(size[1], size[0], 3) / 255.0)
-        #                 current_offset = 0
-        # except Exception as e:
-        #     print(f"Retrying with opencv due to ffmpeg error: {e}")
-        #     return self.load_video_cv_fallback(video, frame_load_cap, skip_first_frames)
-
-        # imgs=split_list(images,video_segment_frames,transition_frames)
-
        # temp path 
        tp=folder_paths.get_temp_directory()
        basename = os.path.basename(video_path)  # 获取文件名
@@ -396,15 +481,22 @@ class LoadVideoAndSegment:

        folder_path = create_folder(tp,name_without_extension)
        
- 
-        # 导出的数据
-        scenes_video,total_frames,fps=split_video(video_path,video_segment_frames,
-                                 transition_frames,folder_path)
+        if video_segment_frames==-1:
+            # 不切割视频
+            scenes_video=[video_path]
+            # 读取视频文件
+            video_capture = cv2.VideoCapture(video_path)
+            
+            # 获取视频的总帧数和帧率
+            total_frames = int(video_capture.get(cv2.CAP_PROP_FRAME_COUNT))
+            fps = video_capture.get(cv2.CAP_PROP_FPS)
+
+        else:
+            # 导出的数据
+            scenes_video,total_frames,fps=split_video(video_path,video_segment_frames,
+                                    transition_frames,folder_path)
      

-        # imgs=[torch.from_numpy(np.stack(im)) for im in imgs]
-
-        # images = torch.from_numpy(np.stack(images))

        return (scenes_video,len(scenes_video), total_frames,fps,)

@@ -422,7 +514,85 @@ class LoadVideoAndSegment:
            return "Invalid image file: {}".format(video)

        return True
-    
+
+
+
+class LoadAndCombinedAudio_:
+    @classmethod
+    def INPUT_TYPES(s):
+       
+        return {"required": {
+                    "audios": ("AUDIOBASE64",),
+                    "start_time": ("FLOAT" , {"default": 0, "min": 0, "max": 10000000, "step": 0.01}),
+                    "duration": ("FLOAT" , {"default": 10, "min": -1, "max": 10000000, "step": 0.01}),
+                     },
+                }
+
+    CATEGORY = "♾️Mixlab/Audio"
+
+    RETURN_TYPES = ("STRING","AUDIO",)
+    RETURN_NAMES = ("audio_file_path","audio",)
+    FUNCTION = "run"
+
+    def run(self,audios, start_time, duration):
+        output_dir = folder_paths.get_output_directory()
+        counter=get_new_counter(output_dir,'audio_')
+
+        audio_file_name = f"audio_{counter:05}.wav"
+
+        audio_file=save_audio_base64s_to_file(audios['base64'],output_dir,audio_file_name)
+        # duration == -1 则不裁切
+        if duration > -1:
+            crop_audio(audio_file, start_time, duration)
+
+        return (audio_file, {
+                "filename": audio_file_name,
+                "subfolder": "",
+                "type": "output",
+                "audio_path":audio_file
+                } ,)
+
+class CombineAudioVideo:
+    @classmethod
+    def INPUT_TYPES(s):
+       
+        return {"required": {
+                     "video_file_path": ("STRING",  {"forceInput": True}),
+                     "audio_file_path": ("STRING",  {"forceInput": True}), 
+                     },
+                }
+
+    CATEGORY = "♾️Mixlab/Video"
+
+    OUTPUT_NODE = True
+    FUNCTION = "run" 
+    RETURN_TYPES = ()
+    RETURN_NAMES = ()
+
+    def run(self,video_file_path, audio_file_path):
+
+        output_dir = folder_paths.get_output_directory()
+
+        counter=get_new_counter(output_dir,'video_final_')
+        
+        # 获取文件名和扩展名
+        base, ext = os.path.splitext(video_file_path)
+
+        v_file = f"video_final_{counter:05}{ext}"
+        
+        v_file_path=os.path.join(output_dir, v_file)
+
+        combine_audio_video(audio_file_path,video_file_path,v_file_path)
+
+        previews = [
+            {
+                "filename": v_file,
+                "subfolder": "",
+                "type": "output",
+                "format": get_mime_type(v_file),
+            }
+        ]
+        return {"ui": {"gifs": previews}}

 # The code is based on ComfyUI-VideoHelperSuite modification.
 class VideoCombine_Adv:
@@ -433,6 +603,7 @@ 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",),
@@ -453,7 +624,8 @@ class VideoCombine_Adv:
            },
        }

-    RETURN_TYPES = ()
+    RETURN_TYPES = ("SCENE_VIDEO",)
+    RETURN_NAMES = ("scenes_video",)
    OUTPUT_NODE = True
    CATEGORY = "♾️Mixlab/Video"
    FUNCTION = "run"
@@ -622,7 +794,7 @@ class VideoCombine_Adv:
                "format": format,
            }
        ]
-        return {"ui": {"gifs": previews}}
+        return {"ui": {"gifs": previews},"result":(file_path,)}


 class VAEEncodeForInpaint_Frames:
@@ -689,4 +861,113 @@ class VAEEncodeForInpaint_Frames:
            result.append({"samples":t, "noise_mask": (mask_erosion[:,:,:x,:y].round())})


-        return (result, )
+        return (result, )
+    
+
+
+class GenerateFramesByCount:
+    @classmethod
+    def INPUT_TYPES(cls):
+        
+        return {"required": {
+                    "frames": ('IMAGE',),
+                    "frame_count": ("INT", {"default": 72, "min": 1, "step": 1}), 
+                    "revert" :("BOOLEAN", {"default": True},),
+                     },}
+
+    RETURN_TYPES = ('IMAGE',)
+    RETURN_NAMES = ("frames",)
+
+    FUNCTION = "r"
+    CATEGORY = "♾️Mixlab/Video"
+    # INPUT_IS_LIST = True
+
+    def r(self, frames, frame_count, revert):
+        
+        image_list = [frames[i:i + 1, ...] for i in range(frames.shape[0])]
+
+        image_list=get_frames(frame_count,image_list,revert)
+
+        images = torch.cat(image_list, dim=0)
+
+        return (images,)
+
+
+class scenesNode_:
+    @classmethod
+    def INPUT_TYPES(cls):
+        
+        return {"required": {
+                    "scenes_video": ('SCENE_VIDEO',),
+                    "index": ("INT", {"default": 0, "min": 0, "step": 1}),
+                     
+                     },}
+
+    RETURN_TYPES = ('IMAGE','INT',)
+    RETURN_NAMES = ("video frames (batch)","count",)
+    # OUTPUT_IS_LIST = (False,)
+
+    FUNCTION = "run"
+    CATEGORY = "♾️Mixlab/Video"
+    INPUT_IS_LIST = True
+
+    def load_video_cv_fallback(self, video, frame_load_cap, skip_first_frames):
+        # print('#video',video)
+        try:
+            video_cap = cv2.VideoCapture(video)
+            if not video_cap.isOpened():
+                raise ValueError(f"{video} could not be loaded with cv fallback.")
+            # set video_cap to look at start_index frame
+            images = []
+            total_frame_count = 0
+            frames_added = 0
+            base_frame_time = 1/video_cap.get(cv2.CAP_PROP_FPS)
+            
+            target_frame_time = base_frame_time
+
+            time_offset=0.0
+            while video_cap.isOpened():
+                if time_offset < target_frame_time:
+                    is_returned, frame = video_cap.read()
+                    # if didn't return frame, video has ended
+                    if not is_returned:
+                        break
+                    time_offset += base_frame_time
+                if time_offset < target_frame_time:
+                    continue
+                time_offset -= target_frame_time
+                # if not at start_index, skip doing anything with frame
+                total_frame_count += 1
+                if total_frame_count <= skip_first_frames:
+                    continue
+                # TODO: do whatever operations need to happen, like force_size, etc
+
+                # opencv loads images in BGR format (yuck), so need to convert to RGB for ComfyUI use
+                # follow up: can videos ever have an alpha channel?
+                frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+                # convert frame to comfyui's expected format (taken from comfy's load image code)
+                image = Image.fromarray(frame)
+                image = ImageOps.exif_transpose(image)
+                image = np.array(image, dtype=np.float32) / 255.0
+                image = torch.from_numpy(image)[None,]
+                images.append(image)
+                frames_added += 1
+                # if cap exists and we've reached it, stop processing frames
+                if frame_load_cap > 0 and frames_added >= frame_load_cap:
+                    break
+        finally:
+            video_cap.release()
+        
+        images = torch.cat(images, dim=0)
+       
+        return (images, frames_added,)
+
+    def run(self, scenes_video,index):
+        print('#scenes_video',index,scenes_video)
+        index=index[0]
+        if len(scenes_video) > index:
+            vp=scenes_video[index]
+        else:
+            vp=scenes_video[-1]
+        
+        return self.load_video_cv_fallback(vp,0,0)
@@ -0,0 +1,172 @@
+import torch
+from PIL import Image, ImageOps, ImageSequence, ImageFile
+from PIL.PngImagePlugin import PngInfo
+
+import numpy as np
+import os
+import folder_paths 
+import node_helpers
+import hashlib
+
+# Tensor to PIL
+def tensor2pil(image):
+    return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8))
+
+# tensor 取hash值
+def tensor_to_hash(tensor):
+    # 将 Tensor 转换为 NumPy 数组
+    np_array = tensor.cpu().numpy()
+    
+    # 将 NumPy 数组转换为字节数据
+    byte_data = np_array.tobytes()
+    
+    # 计算哈希值
+    hash_value = hashlib.md5(byte_data).hexdigest()
+    
+    return hash_value
+
+
+def create_temp_file(image):
+    output_dir = folder_paths.get_temp_directory()
+
+    (
+            full_output_folder,
+            filename,
+            counter,
+            subfolder,
+            _,
+        ) = folder_paths.get_save_image_path('material', output_dir)
+
+    
+    image=tensor2pil(image)
+ 
+    image_file = f"{filename}_{counter:05}.png"
+     
+    image_path=os.path.join(full_output_folder, image_file)
+
+    image.save(image_path,compress_level=4)
+
+    return (image_path,[{
+    "filename": image_file,
+    "subfolder": subfolder,
+    "type": "temp"
+    }])
+
+
+# image - tensor - 文件路径
+# loadImage的方法（ 文件路径 - image-mask ）
+class EditMask:
+
+    def __init__(self):
+        self.image_id = None
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"image": ("IMAGE",), # 表示一个张量
+                     
+                     },
+
+                    "optional":{
+                            "image_update": ("IMAGE_FILE",)
+                        },
+                   
+                }
+
+    CATEGORY = "♾️Mixlab/Mask"
+
+    RETURN_TYPES = ("IMAGE", "MASK")
+    RETURN_NAMES = ("image", "mask")
+
+    FUNCTION = "edit"
+
+    OUTPUT_NODE = True
+
+    def edit(self, image,image_update=None):
+
+        # 根据image输入来判断是否是新的图片
+        if self.image_id==None:
+            self.image_id=tensor_to_hash(image)
+            image_update=None
+        else:
+            image_id=tensor_to_hash(image)
+            if image_id!=self.image_id:
+                image_update=None
+                self.image_id=image_id
+
+
+        image_path=None
+        # print('#image_update',self.image_id,image_update)
+        if image_update==None:
+            print('--')
+        else:
+            if 'images' in image_update:
+                images=image_update['images']
+                filename=images[0]['filename']
+                subfolder=images[0]['subfolder']
+                type=images[0]['type']
+                name, base_dir=folder_paths.annotated_filepath(filename)
+                if type.endswith("output"):
+                    base_dir = folder_paths.get_output_directory() 
+                elif type.endswith("input"):
+                    base_dir = folder_paths.get_input_directory() 
+                elif type.endswith("temp"):
+                    base_dir = folder_paths.get_temp_directory() 
+                #base_dir = folder_paths.get_input_directory()  
+                # print(base_dir,subfolder, name)
+                image_path = os.path.join(base_dir,subfolder, name)
+        
+        if image_path==None:
+            image_path,images=create_temp_file(image)
+
+        print('#image_path',os.path.exists(image_path),image_path)
+        # image_path = folder_paths.get_annotated_filepath(image) #文件名
+        
+        if not os.path.exists(image_path):
+            image_path,images=create_temp_file(image)
+
+
+        img = node_helpers.pillow(Image.open, image_path)
+        
+        output_images = []
+        output_masks = []
+        w, h = None, None
+
+        excluded_formats = ['MPO']
+        
+        for i in ImageSequence.Iterator(img):
+            i = node_helpers.pillow(ImageOps.exif_transpose, i)
+
+            if i.mode == 'I':
+                i = i.point(lambda i: i * (1 / 255))
+            image = i.convert("RGB")
+
+            if len(output_images) == 0:
+                w = image.size[0]
+                h = image.size[1]
+            
+            if image.size[0] != w or image.size[1] != h:
+                continue
+            
+            image = np.array(image).astype(np.float32) / 255.0
+            image = torch.from_numpy(image)[None,]
+            if 'A' in i.getbands():
+                mask = np.array(i.getchannel('A')).astype(np.float32) / 255.0
+                mask = 1. - torch.from_numpy(mask)
+            else:
+                # 尺寸不对，需要按照image来
+                mask = torch.zeros((h, w), dtype=torch.float32, device="cpu")
+
+            output_images.append(image)
+            output_masks.append(mask.unsqueeze(0))
+
+        if len(output_images) > 1 and img.format not in excluded_formats:
+            output_image = torch.cat(output_images, dim=0)
+            output_mask = torch.cat(output_masks, dim=0)
+        else:
+            output_image = output_images[0]
+            output_mask = output_masks[0]
+
+        return {"ui":{"images": images},"result": (output_image, output_mask)}
+
+        # return (output_image, output_mask)
@@ -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 = "0.30.3"
+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 = ""
@@ -15,4 +15,6 @@ Pillow>=9.5.0
 einops==0.7.0
 trimesh>=4.0.5
 huggingface-hub
-scikit-image
+scikit-image
+torchaudio
+soundfile>=0.12.1
@@ -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;
@@ -247,10 +239,10 @@

        .card textarea {
            width: 100%;
-            /* height: 200px; */
+            height: 'fit-content';
            /* min-width: 300px; */
            margin-top: 12px;
-            resize: vertical;
+            resize: none;
            overflow: hidden;
        }

@@ -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;
@@ -442,7 +460,7 @@
            padding: 4px;
            padding-left: 25px;
            border-radius: 4px;
-        }
+        } */

        summary {
            user-select: none;
@@ -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 
@@ -1105,7 +1388,7 @@
                }

                // video ,gif
-                if (["VHS_VideoCombine", "VideoCombine_Adv"].includes(node.class_type)) {
+                if (["VHS_VideoCombine", "VideoCombine_Adv", "CombineAudioVideo"].includes(node.class_type)) {

                    let a = document.createElement('a');
                    a.id = `output_${node.id}`
@@ -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
+                                })
                            }
                        }
                    }
@@ -1353,6 +1645,42 @@
        // copyImagesToClipboard(htmlString);


+        // 上传音频转为base64
+        async function uploadAndConvertAudio(file) {
+            if (!file) {
+                alert('Please select a WAV file.')
+                return
+            }
+
+            if (file.type !== 'audio/wav') {
+                alert('Only WAV files are supported.')
+                return
+            }
+
+            try {
+                const base64Audio = await readFileAsDataURL(file)
+                return base64Audio
+            } catch (error) {
+                console.error('Error reading file:', error)
+                alert('Error reading file.')
+            }
+        }
+
+        function readFileAsDataURL(file) {
+            return new Promise((resolve, reject) => {
+                const reader = new FileReader()
+
+                reader.onload = function (event) {
+                    resolve(event.target.result)
+                }
+
+                reader.onerror = function (error) {
+                    reject(error)
+                }
+
+                reader.readAsDataURL(file)
+            })
+        }

        function createInputs(inputData) {
            // Assuming you have an HTML element with the id "container" to hold the UI
@@ -1486,7 +1814,8 @@

                    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 +1846,9 @@
                                //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 +1858,17 @@
                                    // 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;
                                    }

@@ -1791,7 +2127,53 @@
                    container.appendChild(d);
                }

+                // 加载音频 base64
+                if (['LoadAndCombinedAudio_'].includes(data.class_type)) {
+                    let inpAudio = document.createElement('div');

+                    let inputAudio = document.createElement('button');
+
+                    inputAudio.innerText = data.title || 'Upload Audio'
+                    inputAudio.style = `cursor: pointer;
+                        font-weight: 300;
+                        margin: 2px; 
+                        color: var(--descrip-text);
+                        background-color: var(--comfy-input-bg);
+                        border-radius: 8px;
+                        border-color: var(--border-color);
+                        border-style: solid;height: 30px;min-width: 122px;
+                    `;
+
+                    let audioE = document.createElement('audio');
+                    audioE.setAttribute('controls', 'on')
+                    //暂时只支持一个
+                    audioE.src = data.inputs.audios.base64[0];
+
+                    inputAudio.addEventListener('click', e => {
+                        e.preventDefault()
+                        let inp = document.createElement('input')
+                        inp.type = 'file'
+                        inp.style.display = 'none'
+                        inp.addEventListener('change', async e => {
+                            e.preventDefault()
+                            const file = e.target.files[0]
+                            let base64 = await uploadAndConvertAudio(file)
+
+                            audioE.src = base64;
+
+                            window._appData.data[data.id].inputs.audios.base64 = [base64];
+                        })
+
+                        inp.click()
+                        inp.remove()
+                    })
+
+                    inpAudio.appendChild(inputAudio)
+                    inpAudio.appendChild(audioE)
+
+                    container.appendChild(inpAudio);
+
+                }
            });
            return container
        }
@@ -2116,7 +2498,7 @@
            })
        }

-        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 +2639,44 @@
            }


-            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 +3024,7 @@
        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 +3164,8 @@
            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 +3210,8 @@
            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>`
@@ -3063,7 +3460,7 @@

                createAppList(window._apps);

-                if (window._apps.length > 0) await createHistoryList(category || '');
+                // if (window._apps.length > 0) await createHistoryList(category || '');

                createApp(window._appData);
            }
@@ -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
  }
 }

@@ -184,6 +187,25 @@ async function extractInputAndOutputData (
        if (node.type == 'Color') {
        }

+        // 语音输入的支持
+        if (node.type == 'LoadAndCombinedAudio_') {
+          // if (
+          //   data[id].widgets_values &&
+          //   data[id].widgets_values[0] &&
+          //   data[id].widgets_values[0].base64 &&
+          //   data[id].widgets_values[0].base64.length > 0
+          // ) {
+          //   options.defaultBase64 = data[id].widgets_values[0].base64
+          // }
+
+          input[inputIds.indexOf(id)] = {
+            ...data[id],
+            title: node.title,
+            id,
+            options
+          }
+        }
+
        if (node.type === 'LoadImage') {
          // loadImage的mask支持
          let output = node.outputs.filter(ot => ot.type == 'MASK')[0]
@@ -192,7 +214,7 @@ 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)
@@ -396,11 +418,11 @@ async function save (json, download = false, showInfo = true) {

 function getInputsAndOutputs () {
  const inputs =
-      `LoadImage LoadImagesToBatch ImagesPrompt_ VHS_LoadVideo CLIPTextEncode PromptSlide TextInput_ Color FloatSlider IntNumber CheckpointLoaderSimple LoraLoader`.split(
+      `LoadImage LoadImagesToBatch ImagesPrompt_ LoadAndCombinedAudio_ LoadVideoAndSegment_ VHS_LoadVideo CLIPTextEncode PromptSlide TextInput_ Color FloatSlider IntNumber CheckpointLoaderSimple LoraLoader`.split(
        ' '
      ),
    outputs =
-      `SaveTripoSRMesh,PreviewImage,SaveImage,TransparentImage,ShowTextForGPT,VHS_VideoCombine,VideoCombine_Adv,Image Save,SaveImageAndMetadata_,ClipInterrogator`.split(
+      `SaveTripoSRMesh,PreviewImage,SaveImage,TransparentImage,ShowTextForGPT,CombineAudioVideo,VHS_VideoCombine,VideoCombine_Adv,Image Save,SaveImageAndMetadata_,ClipInterrogator`.split(
        ','
      )

@@ -502,6 +524,21 @@ app.registerExtension({
          }
        })

+        //td bg
+        const tdBG = document.createElement('button')
+        tdBG.innerText = 'Canvas Mode'
+        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 +695,7 @@ app.registerExtension({

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

        document.body.appendChild(widget.div)
        this.addCustomWidget(widget)
@@ -671,6 +709,7 @@ app.registerExtension({
        this.serialize_widgets = true //需要保存参数

        window._mixlab_app_json = null
+ 
      }

      const onExecuted = nodeType.prototype.onExecuted
@@ -686,9 +725,8 @@ 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 != 'Canvas Mode' ? (b.style.background = 'yellow') : ''
          )
        } catch (error) {}
      }
@@ -396,3 +396,217 @@ app.registerExtension({
    }
  }
 })
+
+// 上传音频转为base64
+async function uploadAndConvertAudio (file) {
+  if (!file) {
+    alert('Please select a WAV file.')
+    return
+  }
+
+  if (file.type !== 'audio/wav') {
+    alert('Only WAV files are supported.')
+    return
+  }
+
+  try {
+    const base64Audio = await readFileAsDataURL(file)
+    return base64Audio
+  } catch (error) {
+    console.error('Error reading file:', error)
+    alert('Error reading file.')
+  }
+}
+
+function readFileAsDataURL (file) {
+  return new Promise((resolve, reject) => {
+    const reader = new FileReader()
+
+    reader.onload = function (event) {
+      resolve(event.target.result)
+    }
+
+    reader.onerror = function (error) {
+      reject(error)
+    }
+
+    reader.readAsDataURL(file)
+  })
+}
+
+const createInputAudioForBatch = (base64, widget) => {
+  // Create an audio element
+  let audio = document.createElement('audio')
+  audio.src = base64
+  audio.controls = true
+  audio.style = 'width: 120px; display: block'
+
+  // Create a delete button
+  let deleteButton = document.createElement('button')
+  deleteButton.textContent = 'Delete'
+
+  deleteButton.style = `cursor: pointer;
+        font-weight: 300;
+        margin: 2px; 
+        margin-left: 10px;
+        color: var(--descrip-text);
+        background-color: var(--comfy-input-bg);
+        border-radius: 8px;
+        border-color: var(--border-color);
+        border-style: solid;height: 30px;min-width: 122px;
+       `
+
+  // Create a container for the audio and delete button
+  let container = document.createElement('div')
+  container.appendChild(audio)
+  container.appendChild(deleteButton)
+  container.style = `display: flex;margin-top: 12px;`
+
+  // Add event listener for the delete button
+  deleteButton.addEventListener('click', e => {
+    let newValue = []
+    let items = widget.value?.base64 || []
+    for (const v of items) {
+      if (v != base64) newValue.push(v)
+    }
+    widget.value.base64 = newValue
+    container.remove()
+  })
+
+  return container
+}
+
+app.registerExtension({
+  name: 'Mixlab.Comfy.LoadAndCombinedAudio_',
+  async getCustomWidgets (app) {
+    return {
+      AUDIOBASE64 (node, inputName, inputData, app) {
+        // console.log('##node', node)
+        const widget = {
+          value: {
+            base64: []
+          }, // 不能[x,x,x]
+          type: inputData[0], // the type
+          name: inputName, // the name, slice
+          size: [128, 32], // a default size
+          draw (ctx, node, width, y) {},
+          computeSize (...args) {
+            return [128, 122] // a method to compute the current size of the widget
+          }
+          // serializeValue (nodeId, widgetIndex) {
+          //   return widget.value
+          // },
+        }
+        //  widget.something = something;          // maybe adds stuff to it
+        node.addCustomWidget(widget) // adds it to the node
+        return widget // and returns it.
+      }
+    }
+  },
+
+  async beforeRegisterNodeDef (nodeType, nodeData, app) {
+    if (nodeType.comfyClass == 'LoadAndCombinedAudio_') {
+      const orig_nodeCreated = nodeType.prototype.onNodeCreated
+
+      nodeType.prototype.onNodeCreated = function () {
+        orig_nodeCreated?.apply(this, arguments)
+
+        let audiosWidget = this.widgets.filter(w => w.name == 'audios')[0]
+
+        const widget = {
+          type: 'div',
+          name: 'audio_base64',
+          draw (ctx, node, widget_width, y, widget_height) {
+            Object.assign(
+              this.div.style,
+              get_position_style(ctx, widget_width, 44, node.size[1])
+            )
+          },
+          serialize: false
+        }
+
+        widget.div = $el('div', {})
+
+        document.body.appendChild(widget.div)
+
+        let audioPreview = document.createElement('div')
+        let audiosDiv = document.createElement('div') //显示图片
+        audiosDiv.className = 'audios_preview'
+        audiosDiv.style = `width: calc(100% - 14px);
+        display: flex;
+        flex-wrap: wrap;
+        padding: 7px;    justify-content: space-between;
+        align-items: center;`
+
+        const btn = document.createElement('button')
+        btn.innerText = 'Upload Audio'
+
+        btn.style = `cursor: pointer;
+        font-weight: 300;
+        margin: 2px; 
+        color: var(--descrip-text);
+        background-color: var(--comfy-input-bg);
+        border-radius: 8px;
+        border-color: var(--border-color);
+        border-style: solid;height: 30px;min-width: 122px;
+       `
+
+        btn.addEventListener('click', e => {
+          e.preventDefault()
+          let inputAudio = document.createElement('input')
+          inputAudio.type = 'file'
+          inputAudio.style.display = 'none'
+          inputAudio.addEventListener('change', async e => {
+            e.preventDefault()
+            const file = e.target.files[0]
+            let base64 = await uploadAndConvertAudio(file)
+            if (!audiosWidget.value) audiosWidget.value = { base64: [] }
+            audiosWidget.value.base64.push(base64)
+
+            let a = createInputAudioForBatch(base64, audiosWidget)
+            audiosDiv.appendChild(a)
+          })
+
+          inputAudio.click()
+          inputAudio.remove()
+        })
+
+        widget.div.appendChild(audioPreview)
+        audioPreview.appendChild(audiosDiv)
+        audioPreview.appendChild(btn)
+        // audioPreview.appendChild(inputAudio)
+
+        this.addCustomWidget(widget)
+
+        // document.addEventListener('wheel', handleMouseWheel)
+
+        const onRemoved = this.onRemoved
+        this.onRemoved = () => {
+          widget.div.remove()
+          try {
+            // document.removeEventListener('wheel', handleMouseWheel)
+          } catch (error) {
+            console.log(error)
+          }
+
+          return onRemoved?.()
+        }
+
+        this.serialize_widgets = true //需要保存参数
+      }
+    }
+  },
+  async loadedGraphNode (node, app) {
+    if (node.type === 'LoadAndCombinedAudio_') {
+      // await sleep(0)
+      let audiosWidget = node.widgets.filter(w => w.name === 'audios')[0]
+      let audioPreview = node.widgets.filter(w => w.name == 'audio_base64')[0]
+
+      let pre = audioPreview.div.querySelector('.audios_preview')
+      for (const d of audiosWidget.value?.base64 || []) {
+        let im = createInputAudioForBatch(d, audiosWidget)
+        pre.appendChild(im)
+      }
+    }
+  }
+})
@@ -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 = 'v0.25.0'
+const version = 'v0.30.3'

 fetch(`https://api.github.com/repos/${repoOwner}/${repoName}/releases/latest`)
  .then(response => response.json())
@@ -209,13 +209,16 @@ app.registerExtension({
        text = text.filter(t => t && t?.trim())

        if (this.widgets) {
+          // console.log('#ShowTextForGPT',this.widgets)
          // const pos = this.widgets.findIndex(w => w.name === 'text')
          for (let i = 0; i < this.widgets.length; i++) {
-            if (this.widgets[i].name == 'show_text') this.widgets[i].onRemove?.()
+            if (this.widgets[i].name == 'show_text')
+              this.widgets[i].onRemove?.()
+            console.log('#ShowTextForGPT', this.widgets[i])
          }
-          this.widgets.length = 1
+          this.widgets.length = 2
        }
-        // console.log('ShowTextForGPT',text)
+
        for (let list of text) {
          if (list) {
            // console.log('#####', list)
@@ -228,6 +231,8 @@ app.registerExtension({
            w.inputEl.readOnly = true
            w.inputEl.style.opacity = 0.6

+            // w.inputEl.style.display='none'
+
            try {
              if (typeof list != 'string') {
                let data = JSON.parse(list)
@@ -280,5 +285,24 @@ app.registerExtension({

      this.serialize_widgets = true //需要保存参数
    }
+  },
+  async loadedGraphNode (node, app) {
+    if (node.type === 'ShowTextForGPT') {
+      let widget = node.widgets.filter(w => w.name == 'show_text')[0]
+
+      // if (widget.value) {
+      //   let [url, prompt] = widget.value
+
+      //   this[`wavesurfer_${node.id}`] = updateWaveWidgetValue(
+      //     node.widgets,
+      //     node.id,
+      //     url,
+      //     prompt,
+      //     this[`wavesurfer_${node.id}`]
+      //   )
+      // }
+
+      console.log('#loadedGraphNode', node)
+    }
  }
 })
@@ -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
+      //     }
+      //   )
+      // }
+    }
+  }
+})
@@ -1267,7 +1267,7 @@ app.registerExtension({
        })

        widget.PictureInPicture = $el('button', {
-          innerText: 'PictureInPicture',
+          innerText: 'Picture In Picture',
          style: {
            display: 'pictureInPictureEnabled' in document ? 'block' : 'none',
            cursor: 'pointer',
@@ -0,0 +1,295 @@
+import { app } from '../../../scripts/app.js'
+import { api } from '../../../scripts/api.js'
+import { ComfyWidgets } from '../../../scripts/widgets.js'
+import { $el } from '../../../scripts/ui.js'
+
+import WaveSurfer from 'https://cdn.jsdelivr.net/npm/wavesurfer.js@7/dist/wavesurfer.esm.js'
+
+function get_position_style (ctx, widget_width, y, node_height) {
+  const MARGIN = 4 // the margin around the html element
+
+  /* Create a transform that deals with all the scrolling and zooming */
+  const elRect = ctx.canvas.getBoundingClientRect()
+  const transform = new DOMMatrix()
+    .scaleSelf(
+      elRect.width / ctx.canvas.width,
+      elRect.height / ctx.canvas.height
+    )
+    .multiplySelf(ctx.getTransform())
+    .translateSelf(MARGIN, MARGIN + y)
+
+  return {
+    transformOrigin: '0 0',
+    transform: transform,
+    left: `0`,
+    top: '0',
+    cursor: 'pointer',
+    position: 'absolute',
+    maxWidth: `${widget_width - MARGIN * 2}px`,
+    // maxHeight: `${node_height - MARGIN * 2}px`, // we're assuming we have the whole height of the node
+    width: `${widget_width - MARGIN * 2}px`,
+    // height: `${node_height * 0.3 - MARGIN * 2}px`,
+    // background: '#EEEEEE',
+    display: 'flex',
+    flexDirection: 'column',
+    // alignItems: 'center',
+    justifyContent: 'space-around'
+  }
+}
+
+//把文件转为url访问
+const parseUrl = data => {
+  let { filename, subfolder, type, prompt } = data
+  return {
+    url: api.apiURL(
+      `/view?filename=${encodeURIComponent(
+        filename
+      )}&type=${type}&subfolder=${subfolder}${app.getPreviewFormatParam()}${app.getRandParam()}`
+    ),
+    prompt
+  }
+}
+
+const createWaveSurfer = (wavesurfer, id,url) => {
+  // Create an instance of WaveSurfer
+  if (wavesurfer) {
+    wavesurfer.destroy()
+  }
+  wavesurfer = WaveSurfer.create({
+    container: '#' + id,
+    waveColor: 'rgb(200, 0, 200)',
+    progressColor: 'rgb(100, 0, 100)',
+    // Set a bar width
+    barWidth: 10,
+    // Optionally, specify the spacing between bars
+    barGap: 2,
+    // And the bar radius
+    barRadius: 6,
+    url
+  })
+
+  wavesurfer._auto = true
+
+  // 监听播放结束事件，重新开始播放以实现循环播放
+  wavesurfer.on('finish', function () {
+    // console.log(wavesurfer)
+    if (wavesurfer._auto) wavesurfer.play()
+  })
+
+  wavesurfer.on('interaction', () => {
+    wavesurfer._auto = false
+    if (!wavesurfer.isPlaying()) wavesurfer.play()
+  })
+
+  // 获取当前播放时间的峰值
+  wavesurfer.on('audioprocess', () => {
+    if (wavesurfer.isPlaying()&&wavesurfer.getDecodedData()) {
+      const channelData = wavesurfer.getDecodedData().getChannelData(0); 
+      const currentTime = wavesurfer.getCurrentTime()
+      // console.log(wavesurfer)
+      const sampleRate = wavesurfer.getDecodedData().sampleRate
+
+      // 定义要分析的时间窗口（例如1秒）
+      const windowSize = 1
+      const startSample = Math.floor(currentTime * sampleRate)
+      const endSample = Math.min(
+        startSample + windowSize * sampleRate,
+        channelData.length
+      )
+
+      let peak = 0
+      for (let i = startSample; i < endSample; i++) {
+        const value = Math.abs(channelData[i])
+        if (value > peak) {
+          peak = value
+        }
+      }
+      // console.log('Current Peak:', peak)
+    }
+  })
+
+  return wavesurfer
+}
+
+//更新gui
+function updateWaveWidgetValue (widgets, id, url, prompt, wavesurfer) {
+  let widget = widgets.filter(w => w.name == 'AudioPlay')[0]
+  // 手动更新widget值
+  widget.value = [url, prompt]
+
+  if (widget.div) {
+    widget.div.querySelector('.wave').id = `AudioPlay_${id}`
+  }
+
+  wavesurfer = createWaveSurfer(wavesurfer, `AudioPlay_${id}`,url)
+
+  wavesurfer.on('ready', duration => {
+    console.log('Audio duration: ' + duration + ' seconds')
+    if (widget.div) {
+      widget.div.setAttribute('data-url', url)
+      widget.div.querySelector('.link').setAttribute('href', url)
+      widget.div.querySelector(
+        '.info'
+      ).innerHTML = `<span style="font-size: 12px;
+      margin: 8px;">${duration.toFixed(
+        2
+      )} seconds</span> <br><span style="font-size: 14px;">${prompt||''}</span> <br>`
+    }
+  })
+  
+  
+  wavesurfer.load(url)
+  // console.log('updateWaveWidgetValue' ,url,wavesurfer)
+  return wavesurfer
+}
+
+app.registerExtension({
+  name: 'SoundLab.AudioPlay',
+  async beforeRegisterNodeDef (nodeType, nodeData, app) {
+    if (nodeType.comfyClass == 'AudioPlay') {
+      let that = this
+      // console.log('that', that)
+
+      const orig_nodeCreated = nodeType.prototype.onNodeCreated
+      nodeType.prototype.onNodeCreated = function () {
+        orig_nodeCreated?.apply(this, arguments)
+
+        const widget = {
+          type: 'div',
+          name: 'AudioPlay',
+          draw (ctx, node, widget_width, y, widget_height) {
+            Object.assign(
+              this.div.style,
+              get_position_style(ctx, widget_width, y, node.size[1])
+            )
+          }
+        }
+
+        // console.log('AudioPlay nodeData', this)
+        widget.div = $el('div', {})
+
+        document.body.appendChild(widget.div)
+
+        // wave
+        const waveDiv = document.createElement('div')
+        waveDiv.className = 'wave'
+        waveDiv.style.minHeight = '172px'
+        widget.div.appendChild(waveDiv)
+
+        //prompt 相关信息展示
+        const infoDiv = document.createElement('div')
+        infoDiv.className = 'info'
+        infoDiv.style.marginBottom = '20px'
+        widget.div.appendChild(infoDiv)
+
+        // 按钮的区域
+        let btns = document.createElement('div')
+        btns.className = 'btns'
+        btns.style = `display: flex;
+        width: 100%;
+        justify-content: space-between;`
+        widget.div.appendChild(btns)
+
+        //play button
+        const playBtn = document.createElement('a')
+        playBtn.innerText = 'Play/Pause'
+
+        playBtn.style = `
+        display: flex;
+        padding: 4px 15px;
+        background-color: var(--comfy-input-bg);
+        border-radius: 8px;
+        border-color: var(--border-color);
+        border-style: solid;
+        color: var(--descrip-text);
+        text-decoration: none;
+        border-radius: 5px;
+        transition: background-color 0.3s ease 0s;
+          `
+
+        playBtn.addEventListener('click', e => {
+          e.preventDefault()
+          if (that[`wavesurfer_${this.id}`]) {
+            that[`wavesurfer_${this.id}`]?.playPause()
+            that[`wavesurfer_${this.id}`]._auto = true
+          }
+        })
+        btns.appendChild(playBtn)
+
+        const urlLink = document.createElement('a')
+        urlLink.className = 'link'
+        urlLink.innerText = 'URL'
+        urlLink.setAttribute('target', '_blank')
+        urlLink.style = `display: flex;
+        padding: 4px 15px;
+        background-color: var(--comfy-input-bg);
+        border-radius: 8px;
+        border-color: var(--border-color);
+        border-style: solid;
+        color: var(--descrip-text);
+        text-decoration: none;
+        border-radius: 5px;
+        transition: background-color 0.3s ease 0s;`
+        // urlLink.style.minHeight = '200px'
+        btns.appendChild(urlLink)
+
+
+        //todo 导出视频 that[`wavesurfer_${this.id}`].renderer.exportImage('image/png',1,'dataURL')
+        // https://github.com/diffusion-studio/ffmpeg-js
+
+
+        this.addCustomWidget(widget)
+
+        const onRemoved = this.onRemoved
+        this.onRemoved = () => {
+          widget.div.remove()
+          return onRemoved?.()
+        }
+
+        this.size = [this.size[0], 280]
+        this.serialize_widgets = true //需保存widget的值
+      }
+
+      const onExecuted = nodeType.prototype.onExecuted
+      nodeType.prototype.onExecuted = function (message) {
+        onExecuted?.apply(this, arguments)
+        const audio = message.audio
+        console.log('#onExecuted', `AudioPlay_${this.id}`, message,audio)
+        try {
+          let { url, prompt } = parseUrl(audio[0])
+
+          that[`wavesurfer_${this.id}`] = updateWaveWidgetValue(
+            this.widgets,
+            this.id,
+            url,
+            prompt,
+            that[`wavesurfer_${this.id}`]
+          )
+
+          that[`wavesurfer_${this.id}`]?.playPause()
+        } catch (error) {
+          console.log(error)
+        }
+      }
+    }
+  },
+  async loadedGraphNode (node, app) {
+    if (node.type === 'AudioPlay') {
+      let widget = node.widgets.filter(w => w.name == 'AudioPlay')[0]
+
+      if (widget.value) {
+        let [url, prompt] = widget.value
+
+        this[`wavesurfer_${node.id}`] = updateWaveWidgetValue(
+          node.widgets,
+          node.id,
+          url,
+          prompt,
+          this[`wavesurfer_${node.id}`]
+        )
+      }
+
+      console.log('#loadedGraphNode', node)
+    }
+  }
+})
@@ -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',
@@ -47,17 +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()
-    return { url: `http://127.0.0.1:${data.port}`, model: data.model }
+    if (data.llama_cpp_error) {
+      return
+    }
+
+    return {
+      url: `http://${window.location.hostname}:${data.port}`,
+      model: data.model,
+      chat_format: data.chat_format
+    }
  } 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')
@@ -76,7 +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,
@@ -480,7 +567,6 @@ injectCSS(`::-webkit-scrollbar {
  border-left: 2px solid var(--input-text); 
 }
 
-
 `)

 async function getCustomnodeMappings (mode = 'url') {
@@ -605,13 +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', {
@@ -697,6 +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')
@@ -752,7 +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;
@@ -763,15 +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'
@@ -789,6 +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
@@ -814,32 +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)
 }

@@ -1153,6 +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 () {
@@ -1165,6 +1413,8 @@ app.registerExtension({
          .querySelector('#mixlab_chatbot_by_llamacpp')
          .setAttribute('title', res.url)
      })
+    }else{
+      startLLM('')
    }

    LGraphCanvas.prototype.helpAboutNode = async function (node) {
@@ -1173,7 +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)
@@ -1183,10 +1439,14 @@ app.registerExtension({

    LGraphCanvas.prototype.fixTheNode = function (node) {
      let new_node = LiteGraph.createNode(node.comfyClass)
-      new_node.pos = [node.pos[0], node.pos[1]]
-      app.canvas.graph.add(new_node, false)
-      copyNodeValues(node, new_node)
-      app.canvas.graph.remove(node)
+      console.log(node)
+      if(new_node){
+        new_node.pos = [node.pos[0], node.pos[1]]
+        app.canvas.graph.add(new_node, false)
+        copyNodeValues(node, new_node)
+        app.canvas.graph.remove(node)
+      }
+     
    }

    smart_init()
@@ -1197,11 +1457,14 @@ 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',
@@ -1216,6 +1479,7 @@ app.registerExtension({
            t => {
              // console.log(t)
              widget.value += t
+              jsonStr+=t
            }
          )
        } catch (error) {
@@ -1241,6 +1505,123 @@ 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)
                }
              )
            })
@@ -1397,7 +1778,7 @@ 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
@@ -1407,6 +1788,7 @@ app.registerExtension({
        {
          content: 'Help ♾️Mixlab', // with a name
          callback: () => {
+            // console.log('#data',node)
            LGraphCanvas.prototype.helpAboutNode(node)
          } // and the callback
        },
@@ -1428,7 +1810,7 @@ app.registerExtension({
        )

        if (
-          text_input&&
+          text_input &&
          text_input.length == 0 &&
          text_widget &&
          text_widget.length == 1 &&
@@ -1442,6 +1824,20 @@ 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
@@ -6,8 +6,6 @@ import { $el } from '../../../scripts/ui.js'

 // The code is based on ComfyUI-VideoHelperSuite modification.

-
-
 function injectCSS (css) {
  // 检查页面中是否已经存在具有相同内容的style标签
  const existingStyle = document.querySelector('style')
@@ -240,15 +238,7 @@ app.registerExtension({
  }
 })

-
-function offsetDOMWidget(
-  widget,
-  ctx,
-  node,
-  widgetWidth,
-  widgetY,
-  height
-) {
+function offsetDOMWidget (widget, ctx, node, widgetWidth, widgetY, height) {
  const margin = 10
  const elRect = ctx.canvas.getBoundingClientRect()
  const transform = new DOMMatrix()
@@ -270,18 +260,18 @@ function offsetDOMWidget(
    position: 'absolute',
    background: !node.color ? '' : node.color,
    color: !node.color ? '' : 'white',
-    zIndex: 5, //app.graph._nodes.indexOf(node),
+    zIndex: 5 //app.graph._nodes.indexOf(node),
  })
 }

-export const hasWidgets = (node) => {
+export const hasWidgets = node => {
  if (!node.widgets || !node.widgets?.[Symbol.iterator]) {
    return false
  }
  return true
 }

-export const cleanupNode = (node) => {
+export const cleanupNode = node => {
  if (!hasWidgets(node)) {
    return
  }
@@ -298,43 +288,43 @@ export const cleanupNode = (node) => {
  }
 }

-const CreatePreviewElement = (name, val, format) => {
-  const [type] = format.split('/')  
+const createPreviewElement = (name, val, format) => {
+  const [type] = format.split('/')
  const w = {
-      name,
-      type,
-      value: val,
-      draw: function (ctx, node, widgetWidth, widgetY, height) {
-        const [cw, ch] = this.computeSize(widgetWidth)
-        offsetDOMWidget(this, ctx, node, widgetWidth, widgetY, ch)
-      },
-      computeSize: function (_) {
-        const ratio = this.inputRatio || 1
-        const width = Math.max(220, this.parent.size[0])
-        return [width, (width / ratio + 10)]
-      },
-      onRemoved: function () {
-        if (this.inputEl) {
-          this.inputEl.remove()
-        }
-      },
+    name,
+    type,
+    value: val,
+    draw: function (ctx, node, widgetWidth, widgetY, height) {
+      const [cw, ch] = this.computeSize(widgetWidth)
+      offsetDOMWidget(this, ctx, node, widgetWidth, widgetY, ch)
+    },
+    computeSize: function (_) {
+      const ratio = this.inputRatio || 1
+      const width = Math.max(220, this.parent.size[0])
+      return [width, width / ratio + 10]
+    },
+    onRemoved: function () {
+      if (this.inputEl) {
+        this.inputEl.remove()
+      }
    }
-
-    w.inputEl = document.createElement(type === 'video' ? 'video' : 'img')
-    w.inputEl.src = w.value
-    if (type === 'video') {
-      w.inputEl.setAttribute('type', 'video/webm');
-      w.inputEl.autoplay = true
-      w.inputEl.loop = true
-      w.inputEl.controls = false;
-    }
-    w.inputEl.onload = function () {
-      w.inputRatio = w.inputEl.naturalWidth / w.inputEl.naturalHeight
-    }
-    document.body.appendChild(w.inputEl)
-    return w
  }

+  w.inputEl = document.createElement(type === 'video' ? 'video' : 'img')
+  w.inputEl.src = w.value
+
+  if (type === 'video' || format.match('.mp4')) {
+    w.inputEl.setAttribute('type', 'video/webm')
+    w.inputEl.autoplay = true
+    w.inputEl.loop = true
+    w.inputEl.controls = true
+  }
+  w.inputEl.onload = function () {
+    w.inputRatio = w.inputEl.naturalWidth / w.inputEl.naturalHeight
+  }
+  document.body.appendChild(w.inputEl)
+  return w
+}

 app.registerExtension({
  name: 'Mixlab.Video.ImageListReplace',
@@ -469,7 +459,10 @@ app.registerExtension({
      }
    }

-    if (nodeData?.name == 'VideoCombine_Adv') {
+    if (
+      nodeData?.name == 'VideoCombine_Adv' ||
+      nodeData?.name == 'CombineAudioVideo'
+    ) {
      const onExecuted = nodeType.prototype.onExecuted
      nodeType.prototype.onExecuted = function (message) {
        const prefix = 'vhs_gif_preview_'
@@ -489,7 +482,7 @@ app.registerExtension({
                '/view?' + new URLSearchParams(params).toString()
              )
              const w = this.addCustomWidget(
-                CreatePreviewElement(
+                createPreviewElement(
                  `${prefix}_${i}`,
                  previewUrl,
                  params.format || 'image/gif'
@@ -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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+/*
+object-assign
+(c) Sindre Sorhus
+@license MIT
+*/
+
+/*!
+
+pica
+https://github.com/nodeca/pica
+
+*/
+
+/*!
+ * Block below copied from Protovis: http://mbostock.github.com/protovis/
+ * Copyright 2010 Stanford Visualization Group
+ * Licensed under the BSD License: http://www.opensource.org/licenses/bsd-license.php
+ * @license
+ */
+
+/*!
+ * jQuery JavaScript Library v3.7.1
+ * https://jquery.com/
+ *
+ * Copyright OpenJS Foundation and other contributors
+ * Released under the MIT license
+ * https://jquery.org/license
+ *
+ * Date: 2023-08-28T13:37Z
+ */
+
+/*!
+ * quantize.js Copyright 2008 Nick Rabinowitz.
+ * Licensed under the MIT license: http://www.opensource.org/licenses/mit-license.php
+ * @license
+ */
+
+/*! alertifyjs - v1.13.1 - Mohammad Younes <Mohammad@alertifyjs.com> (http://alertifyjs.com) */
+
+/*! regenerator-runtime -- Copyright (c) 2014-present, Facebook, Inc. -- license (MIT): https://github.com/facebook/regenerator/blob/main/LICENSE */
+
+/**
+ * hermite-resize - Canvas image resize/resample using Hermite filter with JavaScript.
+ * @version v2.2.10
+ * @link https://github.com/viliusle/miniPaint
+ * @license MIT
+ */
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+	 viewBox="0 0 298.73 298.73" style="enable-background:new 0 0 298.73 298.73;" xml:space="preserve">
+<g>
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+		c18.02,0,32.634,14.615,32.634,32.634s-14.615,32.634-32.634,32.634c-18.025,0-32.634-14.615-32.634-32.634
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+		c4.058-8.044,11.792-8.762,17.269-1.605l56.316,73.596c5.477,7.158,15.05,7.767,21.386,1.354l13.777-13.951
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+</g>
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+<g>
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+	<path d="M15.026,0.002C6.726,0.002,0,6.728,0,15.028c0,8.297,6.726,15.021,15.026,15.021c8.298,0,15.025-6.725,15.025-15.021
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+</svg>
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+<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
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+<g>
+	<g>
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+	<g>
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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>
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+<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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+<svg width="1em" height="1em" viewBox="0 0 16 16" xmlns="http://www.w3.org/2000/svg">
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+	>
+<g>
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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
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+	</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>
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+<!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	216c7e152e	0.30.3	2024-07-08 00:03:33 +08:00
shadowcz007	cc8bc10690	update	2024-07-07 18:41:56 +08:00
shadowcz007	69b4218d60	Update __init__.py	2024-07-07 17:05:06 +08:00
shadowcz007	1dd18dc4f8	fixbug	2024-07-06 20:30:50 +08:00
shadowcz007	4ccbd999d9	fixbug	2024-07-06 00:54:19 +08:00
shadowcz007	fa8d404964	0.30.2	2024-07-06 00:39:02 +08:00
shadowcz007	30086957c9	fixbug	2024-07-06 00:37:52 +08:00
shadowcz007	0e57c620c9	Update Video.py	2024-07-04 18:19:53 +08:00
shadowcz007	3ce1c59a2d	Update README.md	2024-07-04 17:37:50 +08:00
shadowcz007	3337e20b9e	Math Operation	2024-06-23 16:50:06 +08:00
shadowcz007	e816b3626e	update	2024-06-22 21:44:33 +08:00
shadowcz007	3e0cb0f17a	Update ui_mixlab.js	2024-06-22 18:42:12 +08:00
shadowcz007	41bc606217	Update 2-screeshare.json	2024-06-22 11:56:32 +08:00
shadowcz007	5a5f4ca49a	Update pyproject.toml	2024-06-21 23:08:27 +08:00
shadowcz007	c3a8437cd1	Update ImageNode.py	2024-06-21 22:10:19 +08:00
shadowcz007	8d8a1a392d	fixbug	2024-06-21 21:54:41 +08:00
shadowcz007	5f93fb5e55	增加支持的国产大模型	2024-06-21 17:40:15 +08:00
shadowcz007	d05050d7d8	v0.30.1	2024-06-20 20:39:43 +08:00
shadowcz007	8e9744100d	优化composite images节点	2024-06-20 17:46:46 +08:00
shadowcz007	1e4e7e287d	Update ImageNode.py	2024-06-20 16:33:58 +08:00
shadowcz007	e8f0c73f08	优化text image节点，更为精准控制空白间距，字体修改为选择方式	2024-06-20 16:32:04 +08:00
shadowcz007	e923e28f8d	Canvas Mode	2024-06-20 14:59:51 +08:00
shadowcz007	5cc75bfa7c	Merge branch 'main' of https://github.com/shadowcz007/comfyui-mixlab-nodes	2024-06-20 12:04:29 +08:00
shadowcz007	d6701769b8	fixbug：showtext	2024-06-20 12:04:23 +08:00
shadow	0ddc67bdab	Create CNAME	2024-06-20 11:13:12 +08:00
shadowcz007	38b62b7a68	Update pyproject.toml	2024-06-19 11:10:27 +08:00
shadowcz007	7e726000c7	v0.30.0	2024-06-18 16:57:14 +08:00
shadowcz007	d8dfb292ec	增加 Edit Mask & SD3 示例	2024-06-18 16:55:59 +08:00
shadowcz007	826975241d	Audio Play	2024-06-17 10:50:26 +08:00
shadowcz007	743637ceaf	Update Video.py	2024-06-14 11:50:05 +08:00
shadowcz007	e350c7e31e	CombineAudioVideo、LoadAndCombinedAudio	2024-06-14 11:38:10 +08:00
shadowcz007	66b1e0ab9f	Update __init__.py	2024-06-14 08:17:04 +08:00
shadowcz007	7b0374d110	Update requirements.txt	2024-06-13 09:04:48 +08:00
shadowcz007	e86ef8cbb0	ImageBatchToList、LoadAndCombinedAudio、combine_audio_video、GenerateFramesByCount	2024-06-12 20:54:16 +08:00
shadowcz007	8c901c54bc	Update extension-node-map.json	2024-06-08 17:41:40 +08:00
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
shadowcz007	cd0dcfbb8c	v0.25.1	2024-05-11 14:12:00 +08:00
shadow	fcc9e30eae	Update __init__.py	2024-05-11 12:55:14 +08:00
shadowcz007	5f66218a43	修复 sys.stdout.isatty() object has no attribute 'isatty'	2024-05-11 12:28:14 +08:00
shadowcz007	61ef4f9a0f	Merge branch 'main' of https://github.com/shadowcz007/comfyui-mixlab-nodes	2024-05-11 12:13:34 +08:00
shadowcz007	f0a8734b42	修复 sys.stdout.isatty() object has no attribute 'isatty'	2024-05-11 12:13:31 +08:00
shadow	4fe95ef4ec	Update README.md	2024-05-11 08:53:33 +08:00
shadowcz007	2a5148845b	yaml	2024-05-10 14:38:32 +08:00
shadowcz007	8fa562caaf	Update install.bat	2024-05-09 09:55:34 +08:00
shadowcz007	cab5620cd5	Update index.html	2024-05-08 23:42:48 +08:00
shadowcz007	be38d36677	Update index.html	2024-05-08 23:32:20 +08:00
shadowcz007	69236fca89	Update __init__.py	2024-05-08 22:55:42 +08:00
shadowcz007	4a4f376bfd	Update __init__.py	2024-05-08 22:53:39 +08:00
shadowcz007	fd9718fe24	Update __init__.py	2024-05-08 22:50:30 +08:00
shadowcz007	26a6e11212	llama_cpp	2024-05-08 22:42:34 +08:00
shadowcz007	de1a669f6e	Update README.md	2024-05-08 10:11:16 +08:00
				`@@ -0,0 +1 @@`
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