ComfyUI-ColorConsistencyHSL
HSL Color Consistency Advanced
A ComfyUI custom node for color/luminance consistency correction. Works with any image editing, enhancement, or upscaling workflow – especially optimized to address color shift issues caused by models like Flux.2-Klein.
Bilingual UI – menu options automatically display in Chinese or English based on your ComfyUI language setting.
HSL色彩一致性高级节点
适用于任何图像编辑、增强或放大工作流的色彩/亮度一致性校正节点。特别针对 Flux.2-Klein 等模型导致的色彩偏移问题进行了优化。
双语界面 – 根据 ComfyUI 语言设置,菜单选项自动显示中文或英文。
Features / 功能亮点
- Universal applicability: works with any image editing/enhancement workflow / 通用性强:适用于任何图像编辑/增强工作流
- Independent control of L, H, S / 亮度、色相、饱和度独立控制
- Four anchor modes / 四种锚定模式:
- Statistical match / 统计匹配
- Pixel-perfect / 像素级精确
- Luminance statistical + color exact / 亮度统计 + 色彩精确
- Color exact (hue/saturation pixel-perfect, luminance unchanged) / 色彩精确(色相/饱和度像素级精确,亮度不变)
- Luminance matching in LAB L channel (perceptual) or linear RGB luminance (physical) / 亮度匹配可选 LAB L 通道(感知均匀)或 线性RGB亮度(物理准确)
- Auto mask / external mask with feathering / 自动蒙版 / 外部蒙版,支持羽化
- Protect edited regions with adjustable strength / 编辑区域保护强度可调
- Automatic size alignment with interpolation options / 自动尺寸对齐,可选插值方式
- Bilingual comments in code / 代码内含中英文注释
Installation / 安装
Option 1: ComfyUI Manager (recommended)
Search for "Color Consistency HSL" in ComfyUI Manager and install directly.
Option 2: Git Clone
cd ComfyUI/custom_nodes/ git clone https://github.com/yourusername/ComfyUI-ColorConsistencyHSL.git
Option 3: Manual Download
Download the ZIP and extract into ComfyUI/custom_nodes/ folder.
Restart ComfyUI. The node will appear in the image/postprocessing category as “HSL Color Consistency Advanced” (English) or “色彩亮度一致性混合 (HSL高级版)” (Chinese).
Dependencies / 依赖
scipy(optional, only for feathering; if missing, feathering will be disabled but node still works)
scipy(可选,仅用于羽化;如未安装,羽化功能禁用但节点仍可运行)
Install with: pip install scipy
Parameters / 参数说明
| Parameter | Description |
|---|---|
reference |
Reference image (original) / 参考图像(原图) |
target |
Target image (edited) / 目标图像(编辑后) |
mode |
Channels to match: luminance, hue, saturation, any combination / 要匹配的通道:亮度、色相、饱和度,任意组合 |
anchor_mode |
Matching mode: statistical, pixel-perfect, luminance stat+color exact, color exact / 匹配模式:统计匹配、像素级精确、亮度统计+色彩精确、色彩精确 |
luma_space |
Space for luminance matching: LAB L channel or linear RGB luminance / 亮度匹配空间:LAB L通道 或 线性RGB亮度 |
align_corners |
Align corners when scaling (reduces pixel shift) / 缩放时对齐四角(减少像素偏移) |
interpolation |
Interpolation method for scaling: bilinear / nearest / 缩放插值方式:双线性 / 最近邻 |
force_match_size |
Auto-scale reference to match target size if different / 若尺寸不同,自动缩放参考图以匹配目标 |
luma_strength |
Strength of luminance statistical matching (0=original, 1=full match) / 亮度统计匹配强度(0=保留原图,1=完全匹配) |
strength |
Global blend strength / 整图混合强度 |
protect_strength |
Proportion of original image retained in edit area (0=full match, 1=full original) / 编辑区域保留原图的比例(0=完全匹配,1=完全原图) |
feather_radius |
Feather radius for mask (pixels) / 蒙版羽化半径(像素) |
auto_mask |
Enable auto mask generation based on image difference / 启用基于图像差异的自动蒙版 |
mask_threshold |
Threshold for auto mask (0-1) / 自动蒙版阈值 |
external_mask |
Optional external mask (white=edit area, black=stable) / 可选外部蒙版(白色=编辑区域,黑色=稳定区域) |
Usage Example / 使用示例
This node can be used in any image editing/upscaling workflow. Below is a typical example:
该节点可用于任何图像编辑/放大工作流。以下是一个典型示例:
[Load Image] (original) → [Edit Model] → [Load Image] (edited) ↓ [original] → [Color Consistency HSL] (reference) [edited] → [Color Consistency HSL] (target) [optional mask] → [Color Consistency HSL] (external_mask) ↓ [Color Consistency HSL] → [Save Image]
While the node is universally applicable, it is particularly effective for addressing color shift issues caused by models like Flux.2-Klein.
虽然该节点通用性强,但它在解决 Flux.2-Klein 等模型引起的色彩偏移问题上尤为出色。
Recommended settings for Flux.2-Klein edits with luminance preservation:
针对 Flux.2-Klein 增强且需保留亮度的推荐设置:
mode:luminance+hue+saturationanchor_mode:luminance stat + color exactluma_strength: 0.5protect_strength: 0.3 (adjust based on edit area)feather_radius: 15
License / 许可证
MIT License. See LICENSE for details.
Author / 作者
overcloud81 (@github @modelscope) with deepseek
Copyright © 2025 overcloud81. All rights reserved.