MultiSaveImage is a custom node for ComfyUI that allows you to save multiple image inputs simultaneously with advanced features like batch processing, resizing, and flexible naming conventions.

Features

Multiple Image Inputs: Support up to 8 different image inputs in a single node
Batch Processing: Handle multiple images in each input slot
Automatic Resizing: Option to resize all images to the same dimensions
Flexible Naming: Customizable filename prefix with automatic numbering
Format Support: Supports RGB, RGBA, and grayscale images
Collision Prevention: Automatic filename collision detection and resolution

Installation

Clone or download this repository to your ComfyUI custom nodes directory:

cd ComfyUI/custom_nodes/
git clone https://github.com/yourusername/comfyui-multi-save-image.git

Restart ComfyUI
The MultiSaveImage node will appear in the "image" category

Usage

Input Parameters

Required:

images_1: The primary image input (required)
filename_prefix: Base name for saved files (default: "ComfyUI")

Optional:

images_2 to images_8: Additional image inputs
save_individually: Save each image separately (default: False)
resize_to_same: Resize all images to the same dimensions (default: False)
target_width: Target width for resizing (default: 512, range: 64-8192)
target_height: Target height for resizing (default: 512, range: 64-8192)

Example Workflow

Connect your image sources to the images_1 through images_8 inputs
Set your desired filename_prefix
Enable resize_to_same if you want all images to have uniform dimensions
Set target_width and target_height if resizing is enabled
Execute the node to save all images

Output

Images are saved to the ComfyUI output directory
Filenames follow the pattern: {prefix}_{sequential_number:03d}_{unique_id:05d}.png
The node returns UI information about saved images

Technical Details

Image Format: PNG with compression level 4
Color Spaces: RGB, RGBA, and grayscale support
Tensor Handling: Automatic conversion between PyTorch tensors and PIL Images
Memory Efficient: Processes images individually to minimize memory usage
Resizing Algorithm: Uses Lanczos interpolation for high-quality resizing

Requirements

ComfyUI
PyTorch
PIL (Pillow)
NumPy

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Issues

If you encounter any issues, please report them on the GitHub Issues page.

中文

概述

MultiSaveImage 是 ComfyUI 的自定义节点，允许您同时保存多个图像输入，具有批处理、调整大小和灵活命名约定等高级功能。

功能特性

多图像输入：单个节点支持多达8个不同的图像输入
批处理：每个输入槽可处理多张图像
自动调整大小：可选择将所有图像调整为相同尺寸
灵活命名：可自定义文件名前缀，自动编号
格式支持：支持RGB、RGBA和灰度图像
冲突防护：自动检测和解决文件名冲突

安装

将此仓库克隆或下载到您的 ComfyUI 自定义节点目录：

cd ComfyUI/custom_nodes/
git clone https://github.com/yourusername/comfyui-multi-save-image.git

重启 ComfyUI
MultiSaveImage 节点将出现在"image"类别中

使用方法

输入参数

必需参数：

images_1：主要图像输入（必需）
filename_prefix：保存文件的基础名称（默认："ComfyUI"）

可选参数：

images_2 到 images_8：额外的图像输入
save_individually：单独保存每张图像（默认：False）
resize_to_same：将所有图像调整为相同尺寸（默认：False）
target_width：调整大小的目标宽度（默认：512，范围：64-8192）
target_height：调整大小的目标高度（默认：512，范围：64-8192）

示例工作流

将图像源连接到 images_1 到 images_8 输入
设置所需的 filename_prefix
如果希望所有图像具有统一尺寸，启用 resize_to_same
如果启用了调整大小，设置 target_width 和 target_height
执行节点以保存所有图像

输出

图像保存到 ComfyUI 输出目录
文件名遵循模式：{前缀}_{序号:03d}_{唯一ID:05d}.png
节点返回已保存图像的UI信息

技术细节

图像格式：PNG，压缩级别4
色彩空间：支持RGB、RGBA和灰度
张量处理：PyTorch张量和PIL图像之间的自动转换
内存高效：逐个处理图像以最小化内存使用
调整大小算法：使用Lanczos插值进行高质量调整

依赖要求

ComfyUI
PyTorch
PIL (Pillow)
NumPy

许可证

本项目采用 MIT 许可证 - 详情请参阅 LICENSE 文件。

贡献

欢迎贡献！请随时提交 Pull Request。

问题反馈

如果遇到任何问题，请在 GitHub Issues 页面报告。

README.md Unescape Escape

MultiSaveImage Node for ComfyUI

English

Overview