简介

此工作流是一个用于图像处理的工作流，通过结合多个节点的功能，实现对图像进行深度图生成、背景移除、图像编辑等操作。它利用了KSampler、CLIP Text Encode、VAE Decode等节点来对图像进行编码、解码和生成。同时，还使用了ControlNet模型和IPAdapter模型来对图像进行控制和风格转换。最终生成的图像可以用于材质参考、图像编辑等应用场景。

核心节点：

KSampler：用于生成采样数据，包括种子、步数、配置等参数。

Load Checkpoint：加载预训练模型的节点。

CLIP Text Encode：将文本编码为CLIP模型的输入向量。

VAE Decode：使用VAE模型对编码后的向量进行解码，生成图像。

ControlNetApply：应用ControlNet模型对图像进行控制。

IPAdapterApply：应用IPAdapter模型对图像进行风格转换。

Preview Image：预览生成的图像。

Zoe Depth Map：生成图像的深度图。

Resize Image Mixlab：调整图像大小和分辨率。

应用场景：

此工作流适用于图像处理、图像编辑、材质参考等应用场景。

This workflow is designed for image processing, combining multiple nodes to achieve operations such as depth map generation, background removal, and image editing. It utilizes nodes like KSampler, CLIP Text Encode, VAE Decode to encode, decode, and generate images. Additionally, ControlNet model and IPAdapter model are used for image control and style transfer. The resulting images can be used for material reference, image editing, and other applications.

Core Nodes:

KSampler: Generates sampling data including seed, steps, and configuration parameters.

Load Checkpoint: Loads pre-trained models.

CLIP Text Encode: Encodes text into input vectors for the CLIP model.

VAE Decode: Decodes encoded vectors using the VAE model to generate images.

ControlNetApply: Applies the ControlNet model to control images.

IPAdapterApply: Applies the IPAdapter model for style transfer on images.

Preview Image: Previews the generated images.

Zoe Depth Map: Generates depth maps for images.

Resize Image Mixlab: Resizes images and adjusts resolution.

Applications:

This workflow is suitable for image processing, image editing, material reference, and other related applications.

LoadImagesToBatch节点

是一个用于将图像加载到批处理中的节点。它可以接收图像的路径或者Base64编码，并将它们加载到一个批处理中以供后续节点使用。该节点可以用于处理多个图像，并支持批量操作，方便进行批量处理任务。它的输出是一个包含所有图像的批处理数据，可以传递给其他节点进行进一步的图像处理。

The LoadImagesToBatch node is used to load images into a batch for processing. It can take the paths of the images or Base64 encoded images and load them into a batch for further processing by other nodes. This node is useful for handling multiple images and supports batch operations, making it convenient for batch processing tasks. Its output is a batch of data containing all the images, which can be passed to other nodes for further image processing.

https://github.com/shadowcz007/comfyui-mixlab-nodes/releases/tag/v0.20.0