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+# ComfyUI-LG_SamplingUtils
+
+
+
+[中文文档](README_CN.md) | **English**
+
+---
+
+## Overview
+
+**ComfyUI-LG_SamplingUtils** is a comprehensive toolset designed for ComfyUI by LAOGOU-666, providing a series of practical sampling nodes that make operations more intuitive and convenient. This extension focuses on advanced sampling techniques, particularly optimized for Flow Matching models like ZImage and Lumina2.
+
+## Features
+
+This extension includes four powerful nodes:
+
+### 1. 🎈 ZImage Timestep Noise
+
+Adds noise perturbation to timesteps during the sampling process to break model homogenization and produce more diverse outputs with different seeds.
+
+**Key Features:**
+- Two modes: `sigma` (traditional diffusion models) and `flow` (Flow Matching models)
+- Adjustable noise strength and application range
+- Optional mask support for localized effects
+- Seed-based reproducibility
+
+**Parameters:**
+- `mode`: Choose between `sigma` (multiplicative noise) or `flow` (additive noise)
+- `noise_strength`: Control the intensity of noise (0.0-2.0)
+- `seed`: Random seed for reproducibility
+- `start_percent` / `end_percent`: Define the sampling range where noise is applied
+- `mask` (optional): Limit the effect to specific regions
+
+### 2. 🎈 LG Noise Injection
+
+Injects features from a reference image into the generation process through the CFG mechanism, allowing the model to "learn" specific qualities from the reference.
+
+**Key Features:**
+- Inject surface details like water droplets, sweat, textures
+- Add material properties and reflections
+- Mask support for targeted feature injection
+- Strength decay over sampling steps
+
+**Parameters:**
+- `reference_image`: Image containing desired features
+- `strength`: Injection strength (0.1-0.2 subtle, 0.2-0.4 noticeable)
+- `start_percent` / `end_percent`: Define when feature injection occurs
+- `mask` (optional): White areas receive feature injection
+
+**Variant:** 🎈 **LG Noise Injection (Latent)** - Works directly with latent representations and automatically uses `noise_mask` if present in the latent.
+
+### 3. Model Sampling ZImage
+
+Adjusts sampling parameters for ZImage/Lumina2 models.
+
+**Key Features:**
+- Proper timestep scaling for Flow Matching models
+- Adjustable noise schedule shift
+- Compatible with ZImage, Lumina2, and AuraFlow
+
+**Parameters:**
+- `shift`: Noise schedule shift (default 3.0 for ZImage)
+ - `shift=1.0`: Linear schedule
+ - `shift>1.0`: Shifts toward high noise, more aggressive early steps
+- `multiplier`: Timestep multiplier (1.0 for ZImage/AuraFlow, 1000 for SD3/Flux)
+
+### 4. Sigmas Editor 🎚️
+
+Interactive visual editor for adjusting the sigmas curve in real-time.
+
+**Key Features:**
+- Drag-and-drop curve editing
+- Real-time visualization
+- Fine-tune noise schedules for optimal results
+
+## Examples
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+## Installation
+
+### Method 1: ComfyUI Manager (Recommended)
+
+1. Open ComfyUI Manager
+2. Search for "ComfyUI-LG_SamplingUtils"
+3. Click Install
+
+### Method 2: Manual Installation
+
+```bash
+cd ComfyUI/custom_nodes
+git clone https://github.com/LAOGOU-666/ComfyUI-LG_SamplingUtils.git
+```
+
+Restart ComfyUI after installation.
+
+## Contact
+
+- **WeChat**: wenrulaogou2033
+- **Bilibili**: [老狗_学习笔记](https://space.bilibili.com/175873218?spm_id_from=333.788.0.0)
+
+## Repository
+
+[https://github.com/LAOGOU-666/ComfyUI-LG_SamplingUtils](https://github.com/LAOGOU-666/ComfyUI-LG_SamplingUtils)
+
+## Support
+
+If you encounter any issues or have suggestions, please open an issue on GitHub.
+
+## Changelog
+
+### v1.0.0
+- Initial release
+- Added ZImage Timestep Noise node
+- Added LG Noise Injection nodes (Image and Latent variants)
+- Added Model Sampling ZImage node
+- Added Sigmas Editor node
+
+---
+
+**Enjoy creating with ComfyUI-LG_SamplingUtils! 🎈**
diff --git a/README_CN.md b/README_CN.md
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+# ComfyUI-LG_SamplingUtils
+
+
+
+**中文** | [English](README.md)
+
+---
+
+## 概述
+
+**ComfyUI-LG_SamplingUtils** 是由 LAOGOU-666 为 ComfyUI 设计的综合工具集，提供一系列实用的采样节点，使操作更加直观和便捷。本扩展专注于高级采样技术，特别针对 ZImage 和 Lumina2 等 Flow Matching 模型进行了优化。
+
+## 功能特性
+
+本扩展包含四个强大的节点：
+
+### 1. 🎈 ZImage Timestep Noise（时间步噪声）
+
+在采样过程中对时间步添加噪声扰动，打破模型的同质化输出，使不同种子能产生更明显的差异。
+
+**核心功能：**
+- 两种模式：`sigma`（传统扩散模型）和 `flow`（Flow Matching 模型）
+- 可调节的噪声强度和应用范围
+- 可选的遮罩支持，实现局部效果
+- 基于种子的可重现性
+
+**参数说明：**
+- `mode`：选择 `sigma`（乘性噪声）或 `flow`（加性噪声）
+- `noise_strength`：控制噪声强度（0.0-2.0）
+- `seed`：随机种子，确保可重现
+- `start_percent` / `end_percent`：定义噪声应用的采样范围
+- `mask`（可选）：限制效果到特定区域
+
+### 2. 🎈 LG Noise Injection（噪声注入）
+
+通过 CFG 机制将参考图像的特征注入到生成过程中，让模型"学习"参考图像的特定品质。
+
+**核心功能：**
+- 注入表面细节，如水珠、汗珠、纹理
+- 添加材质属性和反射效果
+- 支持遮罩进行定向特征注入
+- 采样过程中强度逐渐衰减
+
+**参数说明：**
+- `reference_image`：包含所需特征的参考图像
+- `strength`：注入强度（0.1-0.2 轻微，0.2-0.4 明显）
+- `start_percent` / `end_percent`：定义特征注入的时机
+- `mask`（可选）：白色区域接收特征注入
+
+**变体：** 🎈 **LG Noise Injection (Latent)** - 直接使用潜在表示工作，如果潜在中存在 `noise_mask` 则自动使用。
+
+### 3. Model Sampling ZImage（ZImage 采样）
+
+调整 ZImage/Lumina2 模型的采样参数。
+
+**核心功能：**
+- 为 Flow Matching 模型提供正确的时间步缩放
+- 可调节的噪声调度偏移
+- 兼容 ZImage、Lumina2 和 AuraFlow
+
+**参数说明：**
+- `shift`：噪声调度偏移（ZImage 默认 3.0）
+ - `shift=1.0`：线性调度
+ - `shift>1.0`：向高噪声偏移，早期步骤更激进
+- `multiplier`：时间步乘数（ZImage/AuraFlow 为 1.0，SD3/Flux 为 1000）
+
+### 4. Sigmas Editor 🎚️（Sigmas 编辑器）
+
+交互式可视化编辑器，实时调整 sigmas 曲线。
+
+**核心功能：**
+- 拖放式曲线编辑
+- 实时可视化
+- 微调噪声调度以获得最佳结果
+
+## 示例展示
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+## 安装方法
+
+### 方法 1：ComfyUI Manager（推荐）
+
+1. 打开 ComfyUI Manager
+2. 搜索 "ComfyUI-LG_SamplingUtils"
+3. 点击安装
+
+### 方法 2：手动安装
+
+```bash
+cd ComfyUI/custom_nodes
+git clone https://github.com/LAOGOU-666/ComfyUI-LG_SamplingUtils.git
+```
+
+安装后重启 ComfyUI。
+
+## 联系方式
+
+- **微信**: wenrulaogou2033
+- **Bilibili**: [老狗_学习笔记](https://space.bilibili.com/175873218?spm_id_from=333.788.0.0)
+
+## 仓库地址
+
+[https://github.com/LAOGOU-666/ComfyUI-LG_SamplingUtils](https://github.com/LAOGOU-666/ComfyUI-LG_SamplingUtils)
+
+## 支持
+
+如果您遇到任何问题或有建议，请在 GitHub 上提交 issue。
+
+## 更新日志
+
+### v1.0.0
+- 首次发布
+- 添加 ZImage Timestep Noise 节点
+- 添加 LG Noise Injection 节点（图像和潜在变体）
+- 添加 Model Sampling ZImage 节点
+- 添加 Sigmas Editor 节点
+
+---
+
+**使用 ComfyUI-LG_SamplingUtils 愉快创作！🎈**
+
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S&R":"SigmasEditor","ue_properties":{"version":"7.0.1","widget_ue_connectable":{"sigmas_adjustments":true}}},"widgets_values":["[1,1.0311306749002669,1.075639473599364,1.145505046611604,1.2075792453448517,1.1756780372964055,1,1,1]",""]},{"id":212,"type":"BasicScheduler","pos":[552.4232704390884,753.935076323216],"size":[215.52083333333334,124.66145833333334],"flags":{},"order":7,"mode":0,"inputs":[{"localized_name":"模型","name":"model","type":"MODEL","link":476},{"localized_name":"调度器","name":"scheduler","type":"COMBO","widget":{"name":"scheduler"},"link":null},{"localized_name":"步数","name":"steps","type":"INT","widget":{"name":"steps"},"link":null},{"localized_name":"降噪","name":"denoise","type":"FLOAT","widget":{"name":"denoise"},"link":null}],"outputs":[{"localized_name":"Sigmas","name":"SIGMAS","type":"SIGMAS","links":[603,613]}],"properties":{"cnr_id":"comfy-core","ver":"0.4.0","Node name for 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\ No newline at end of file
diff --git a/py/noise_injection.py b/py/noise_injection.py
index 71db31d..1d7b042 100644
--- a/py/noise_injection.py
+++ b/py/noise_injection.py
@@ -70,7 +70,7 @@ class LGNoiseInjection:
RETURN_TYPES = ("MODEL",)
FUNCTION = "apply"
- CATEGORY = "advanced/model"
+ CATEGORY = "🎈LAOGOU/Sampling Utils"
DESCRIPTION = "将参考图像的特征（如水珠、纹理等）注入到生成结果中。"
def apply(self, model, vae, reference_image, strength, start_percent, end_percent, mask=None):
@@ -242,7 +242,7 @@ class LGNoiseInjectionLatent:
RETURN_TYPES = ("MODEL",)
FUNCTION = "apply"
- CATEGORY = "advanced/model"
+ CATEGORY = "🎈LAOGOU/Sampling Utils"
DESCRIPTION = "直接输入 latent 进行特征注入，自动使用 latent 的 noise_mask 作为遮罩。"
def apply(self, model, reference_latent, strength, start_percent, end_percent):
diff --git a/py/sampling_offset.py b/py/sampling_offset.py
index 42626b6..929a2ac 100644
--- a/py/sampling_offset.py
+++ b/py/sampling_offset.py
@@ -48,7 +48,7 @@ class ModelSamplingZImage:
RETURN_TYPES = ("MODEL",)
FUNCTION = "patch"
- CATEGORY = "advanced/model"
+ CATEGORY = "🎈LAOGOU/Sampling Utils"
DESCRIPTION = "调整 ZImage/Lumina2 模型的采样参数。可设置 shift 和 multiplier。"
def patch(self, model, shift, multiplier):
diff --git a/py/sigmas_editor.py b/py/sigmas_editor.py
index 7c6c0ca..8daf3a1 100644
--- a/py/sigmas_editor.py
+++ b/py/sigmas_editor.py
@@ -41,7 +41,7 @@ class SigmasEditor:
RETURN_TYPES = ("SIGMAS",)
RETURN_NAMES = ("adjusted_sigmas",)
FUNCTION = "adjust_sigmas"
- CATEGORY = "sampling/custom_sampling/sigmas"
+ CATEGORY = "🎈LAOGOU/Sampling Utils"
DESCRIPTION = "Interactively adjust sigmas curve by dragging control points"
def adjust_sigmas(self, sigmas, sigmas_adjustments="[]", unique_id=None):
diff --git a/py/timestep_noise.py b/py/timestep_noise.py
index 431d490..d3153a6 100644
--- a/py/timestep_noise.py
+++ b/py/timestep_noise.py
@@ -65,7 +65,7 @@ class ZImageTimestepNoise:
RETURN_TYPES = ("MODEL",)
FUNCTION = "patch"
- CATEGORY = "advanced/model"
+ CATEGORY = "🎈LAOGOU/Sampling Utils"
DESCRIPTION = "对 timestep 添加噪声扰动，改变模型对去噪步骤的感知。sigma 模式适用于传统扩散模型，flow 模式适用于 Flow Matching 模型（如 ZImage/Lumina2）。可选遮罩限制影响区域。"
def patch(self, model, sigmas, mode, noise_strength, seed, start_percent, end_percent, mask=None):
diff --git a/pyproject.toml b/pyproject.toml
index 3cbabf2..2fa6d4b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
[project]
name = "comfyui_lg_samplingutils"
description = "This is a toolset designed for ComfyUI by LAOGOU-666, providing a series of practical sampling nodes, making our operation more intuitive and convenient"
-version = "1.0.0"
+version = "1.0.1"
license = { text = "LICENSE.txt" }
dependencies = [""]