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[English Document](./docs/en.md)
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# ComfyUI-Only
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ComfyUI自定义节点集合,最初专注于workflow解析,现已扩展至提供高级文件加载功能。
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ComfyUI自定义节点集合,最初专注于workflow解析,现已扩展至提供高级文件加载功能,旨在提升您的工作流效率和体验。
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## 🌟 主要功能
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### 1. 高级Latent加载器 (Load Latent (Advanced)) ⭐全新功能
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- 📤 **从任意位置上传**:通过“Upload Latent”按钮,直接从您电脑的任何地方选择 `.latent` 文件。
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### 1. 高级Latent加载器 (Load Latent (Advanced)) ⭐核心功能
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- 📤 **从任意位置上传**:通过“Upload Latent”按钮,直接从您电脑的任何地方选择 `.latent` 文件,无需再放入 `input` 文件夹。
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- ✨ **拖拽上传**:将 `.latent` 文件直接从您的文件管理器拖拽到节点上即可上传。
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- 🔄 **智能格式兼容**:自动识别并兼容标准的 `pickle` 格式和高速的 `safetensors` 格式。
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- 🤖 **智能结构解析**:自动解析多种 latent 内部结构,无论是标准的 `samples` 键,还是非标准的 `latent_tensor` 键,甚至是裸张量。
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- 🔢 **智能维度处理**:自动处理3D(图像)、4D(带批次的图像)和5D(视频)的 latent 张量,确保与下游节点(如VAEDecode)的兼容性。
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### 2. Workflow图片文件加载器 (WorkflowImageFileLoader)
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- 📁 直接从文件系统加载图片文件
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- 🔍 自动解析图片中的workflow元数据信息
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- 🎯 智能提取positive和negative提示词
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- 🏷️ 提取CheckpointLoaderSimple节点的模型名称
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- 📋 支持手动输入workflow JSON作为备选
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- ✅ **解决了IMAGE类型不包含元数据的问题**
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- 📁 直接从文件系统加载图片文件。
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- 🔍 **自动解析元数据**:自动解析图片中的workflow元数据信息。
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- 🎯 **智能提取提示词**:智能提取positive和negative提示词。
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- 🏷️ **智能提取模型**:提取CheckpointLoaderSimple节点的模型名称。
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- ✅ **解决核心痛点**:解决了原生 `IMAGE` 类型不包含元数据导致工作流无法复用的问题。
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---
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*(为保持简洁,其他旧节点说明已折叠,您可以在旧版本中查看它们)*
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*(为保持简洁,其他旧节点说明已折叠)*
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## 🚀 快速开始
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## 🚀 安装与启动
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### 安装
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1. 将此项目克隆到ComfyUI的`custom_nodes`目录下。
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2. (可选)安装依赖:`pip install -r requirements.txt`
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3. 重启ComfyUI。
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4. 在节点菜单中找到`ComfyUI-Only`分类。
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### 推荐方法:通过 ComfyUI Manager 安装
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1. **安装 ComfyUI Manager**:如果您尚未安装,请参照 [ComfyUI Manager的官方说明](https://github.com/ltdrdata/ComfyUI-Manager) 进行安装。
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2. **搜索节点**:
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- 启动 ComfyUI。
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- 点击侧边栏的 "Manager" 按钮。
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- 点击 "Install Custom Nodes"。
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- 在搜索框中输入 `ComfyUI-Only` 或 `eric183`。
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3. **安装节点**:在搜索结果中找到本插件,点击 "Install" 按钮。
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4. **重启 ComfyUI**:安装完成后,请重启 ComfyUI。
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### 使用方法
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### 备选方法:手动安装 (Git Clone)
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1. **进入目录**:打开终端,进入 ComfyUI 的 `custom_nodes` 目录。
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```bash
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cd path/to/your/ComfyUI/custom_nodes
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```
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2. **克隆项目**:使用 `git clone` 命令克隆本仓库。
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```bash
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git clone https://github.com/eric183/ComfyUI-Only.git
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```
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3. **检查依赖**:确保您的Python环境中已安装 `safetensors` 库。ComfyUI 通常已自带,但若遇到导入错误,请手动安装:
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```bash
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pip install safetensors
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```
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4. **重启 ComfyUI**:重启 ComfyUI 以加载新节点。
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## 📖 使用方法
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#### ⭐ 加载Latent文件 (推荐)
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1. 在菜单中添加 `Load Latent (Advanced)` 节点。
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1. 在菜单中添加 `Load Latent (Advanced)` 节点 (位于 `ComfyUI-Only/Latent` 分类下)。
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2. 点击 `Upload Latent` 按钮从您的电脑中选择一个 `.latent` 文件。
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3. 或者,直接将 `.latent` 文件拖拽到节点上。
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4. 节点会自动处理上传、解析和格式化,然后将 `LATENT` 输出连接到下一个节点(如 `VAEDecode`)。
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#### 解析图片中的Workflow
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1. 添加 `Workflow图片文件加载器` 节点。
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1. 添加 `Workflow图片文件加载器` 节点 (位于 `ComfyUI-Only/Image` 分类下)。
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2. 在 `image_file` 下拉菜单中选择要解析的图片文件。
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3. 自动获取输出的 `positive_prompt`, `negative_prompt` 和 `checkpoint_name`。
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## 📁 项目结构
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```
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.
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├── __init__.py <-- 主入口,注册节点和JS扩展
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@@ -57,19 +74,23 @@ ComfyUI自定义节点集合,最初专注于workflow解析,现已扩展至
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│ ├── image_processing_nodes.py
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│ └── latent_nodes.py
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├── LICENSE
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├── README.md
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└── requirements.txt <-- 项目依赖
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└── README.md
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```
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## ⚙️ 依赖要求
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- Python 3.8+
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- ComfyUI
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- PyTorch
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- **safetensors** (新)
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- **safetensors** (核心依赖,通常随ComfyUI自动安装)
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## 📝 更新日志
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### v2.1.0 - 集成与简化 (开发代号:Orion)
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- 🎉 **集成**:项目已成功添加至 **ComfyUI Manager** 官方列表,实现一键安装。
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- 🚀 **简化**:**强烈推荐**通过 ComfyUI Manager 进行安装,简化用户操作。
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- 🧹 **重构**:移除了 `requirements.txt` 文件,依赖项由 ComfyUI 或用户按需管理,使项目更轻量。
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- 📚 **文档**:全面重写 `README.md`,更新安装说明、项目结构和依赖信息,使其更清晰、准确。
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### v2.0.0 - 高级加载器版本 (开发代号:Phoenix)
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- 🔥 **全新**:发布 `Load Latent (Advanced)` 节点,支持从任意位置上传和拖拽 latent 文件。
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- ✨ **新增**:为新节点编写了独立的前端JS扩展,实现了原生级别的UI体验。
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+113
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[Read this document in Chinese (简体中文)](../README.md)
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# ComfyUI-Only
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A collection of custom nodes for ComfyUI, initially focused on workflow parsing, now expanded to provide advanced file loading features designed to enhance your workflow efficiency and experience.
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## 🌟 Key Features
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### 1. Load Latent (Advanced) ⭐ Core Feature
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- 📤 **Upload from Anywhere**: Select `.latent` files from anywhere on your computer using the "Upload Latent" button, eliminating the need to place them in the `input` folder.
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- ✨ **Drag and Drop**: Upload `.latent` files by simply dragging them from your file manager onto the node.
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- 🔄 **Smart Format Compatibility**: Automatically detects and supports both standard `pickle` and high-speed `safetensors` formats.
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- 🤖 **Intelligent Structure Parsing**: Automatically parses various internal latent structures, whether it's the standard `samples` key, the non-standard `latent_tensor` key, or even a raw tensor.
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- 🔢 **Smart Dimension Handling**: Automatically processes 3D (image), 4D (batched images), and 5D (video) latent tensors to ensure compatibility with downstream nodes like VAEDecode.
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### 2. WorkflowImageFileLoader
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- 📁 **Direct File Loading**: Load image files directly from your file system.
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- 🔍 **Auto-Parse Metadata**: Automatically parses workflow metadata from the image.
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- 🎯 **Smart Prompt Extraction**: Intelligently extracts positive and negative prompts.
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- 🏷️ **Smart Model Extraction**: Extracts the model name from the CheckpointLoaderSimple node.
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- ✅ **Solves a Core Problem**: Addresses the issue where the native `IMAGE` type does not contain metadata, making workflow reuse difficult.
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---
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*(Older node descriptions have been collapsed for brevity.)*
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## 🚀 Installation & Setup
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### Recommended Method: Install via ComfyUI Manager
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1. **Install ComfyUI Manager**: If you haven't already, install it by following the [official ComfyUI Manager instructions](https://github.com/ltdrdata/ComfyUI-Manager).
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2. **Search for the Node**:
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- Launch ComfyUI.
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- Click the "Manager" button in the sidebar.
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- Click "Install Custom Nodes".
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- Type `ComfyUI-Only` or `eric183` in the search bar.
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3. **Install Node**: Find this extension in the search results and click the "Install" button.
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4. **Restart ComfyUI**: After installation, restart ComfyUI.
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### Alternative Method: Manual Installation (Git Clone)
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1. **Navigate to Directory**: Open a terminal and navigate to the `custom_nodes` directory within your ComfyUI installation.
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```bash
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cd path/to/your/ComfyUI/custom_nodes
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```
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2. **Clone the Repository**: Use the `git clone` command to clone this repository.
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```bash
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git clone https://github.com/eric183/ComfyUI-Only.git
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```
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3. **Check Dependencies**: Ensure that the `safetensors` library is installed in your Python environment. ComfyUI usually includes it, but if you encounter import errors, install it manually:
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```bash
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pip install safetensors
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```
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4. **Restart ComfyUI**: Restart ComfyUI to load the new nodes.
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## 📖 How to Use
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#### ⭐ Loading Latent Files (Recommended)
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1. Add the `Load Latent (Advanced)` node from the menu (under the `ComfyUI-Only/Latent` category).
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2. Click the `Upload Latent` button to select a `.latent` file from your computer.
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3. Alternatively, drag and drop the `.latent` file directly onto the node.
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4. The node will automatically handle the upload, parsing, and formatting, then connect the `LATENT` output to the next node (e.g., `VAEDecode`).
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#### Parsing Workflows from Images
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1. Add the `WorkflowImageFileLoader` node (under the `ComfyUI-Only/Image` category).
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2. Select the image file you want to parse from the `image_file` dropdown menu.
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3. The `positive_prompt`, `negative_prompt`, and `checkpoint_name` will be automatically extracted.
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## 📁 Project Structure
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```
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.
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├── __init__.py <-- Main entry point, registers nodes and JS extensions
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├── js/
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│ └── latent_loader.js <-- Frontend UI logic for the advanced latent loader
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├── nodes/
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│ ├── image_processing_nodes.py
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│ └── latent_nodes.py
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├── LICENSE
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└── README.md
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```
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## ⚙️ Requirements
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- Python 3.8+
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- ComfyUI
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- PyTorch
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- **safetensors** (Core dependency, typically installed with ComfyUI)
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## 📝 Changelog
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### v2.1.0 - Integration & Simplification (Codename: Orion)
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- 🎉 **Integration**: The project has been successfully added to the official **ComfyUI Manager** list for one-click installation.
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- 🚀 **Simplification**: **Highly recommended** to install via ComfyUI Manager for a streamlined user experience.
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- 🧹 **Refactor**: Removed `requirements.txt`. Dependencies are now managed by ComfyUI or the user as needed, making the project more lightweight.
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- 📚 **Documentation**: Completely rewrote `README.md` with updated installation instructions, project structure, and dependency information for clarity and accuracy.
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### v2.0.0 - Advanced Loader Edition (Codename: Phoenix)
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- 🔥 **New**: Released the `Load Latent (Advanced)` node with support for uploading and dragging-and-dropping latent files from any location.
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- ✨ **Added**: Developed a standalone frontend JS extension for the new node, providing a native-level UI experience.
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- 🤖 **Enhanced**: The loader backend now intelligently handles format compatibility (pickle/safetensors), structure parsing, and dimension processing.
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- 🧹 **Refactor**: Restructured the project, adding a `js` directory and `requirements.txt`.
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- 📚 **Documentation**: Overhauled `README.md` to focus on new features and simplify older descriptions.
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### v1.2.0
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- ✅ Added: Checkpoint model name extraction from CheckpointLoaderSimple nodes.
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- ✅ All nodes now have a `checkpoint_name` output.
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*(Older logs have been omitted.)*
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## 🤝 Contributing
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Issues and Pull Requests are welcome!
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## 📄 License
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MIT License - See the [LICENSE](LICENSE) file for details.
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