diff --git a/README.ZH_CN.md b/README.ZH_CN.md
index 1c6b435..3e0e137 100644
--- a/README.ZH_CN.md
+++ b/README.ZH_CN.md
@@ -1,486 +1,486 @@
-
-
-
-
-**ComfyUI-Easy-Use** 是一个化繁为简的节点整合包, 在 [tinyterraNodes](https://github.com/TinyTerra/ComfyUI_tinyterraNodes) 的基础上进行延展，并针对了诸多主流的节点包做了整合与优化，以达到更快更方便使用ComfyUI的目的，在保证自由度的同时还原了本属于Stable Diffusion的极致畅快出图体验。
-
-## 👨🏻🎨 特色介绍
-
-- 沿用了 [tinyterraNodes](https://github.com/TinyTerra/ComfyUI_tinyterraNodes) 的思路，大大减少了折腾工作流的时间成本。
-- UI界面美化，首次安装的用户，如需使用UI主题，请在 Settings -> Color Palette 中自行切换主题并**刷新页面**即可
-- 增加了预采样参数配置的节点，可与采样节点分离，更方便预览。
-- 支持通配符与Lora的提示词节点，如需使用Lora Block Weight用法，需先保证自定义节点包中安装了 [ComfyUI-Inspire-Pack](https://github.com/ltdrdata/ComfyUI-Inspire-Pack)
-- 可多选的风格化提示词选择器，默认是Fooocus的样式json，可自定义json放在styles底下，samples文件夹里可放预览图(名称和name一致,图片文件名如有空格需转为下划线'_')
-- 加载器可开启A1111提示词风格模式，可重现与webui生成近乎相同的图像，需先安装 [ComfyUI_smZNodes](https://github.com/shiimizu/ComfyUI_smZNodes)
-- 可使用`easy latentNoisy`或`easy preSamplingNoiseIn`节点实现对潜空间的噪声注入
-- 简化 SD1.x、SD2.x、SDXL、SVD、Zero123等流程
-- 简化 Stable Cascade [示例参考](https://github.com/yolain/ComfyUI-Yolain-Workflows?tab=readme-ov-file#1-13-stable-cascade)
-- 简化 Layer Diffuse [示例参考](https://github.com/yolain/ComfyUI-Yolain-Workflows?tab=readme-ov-file#2-3-layerdiffusion)
-- 简化 InstantID [示例参考](https://github.com/yolain/ComfyUI-Yolain-Workflows?tab=readme-ov-file#2-2-instantid), 需先保证自定义节点包中安装了 [ComfyUI_InstantID](https://github.com/cubiq/ComfyUI_InstantID)
-- 简化 IPAdapter, 需先保证自定义节点包中安装最新版v2的 [ComfyUI_IPAdapter_plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus)
-- 扩展 XYplot 的可用性
-- 整合了Fooocus Inpaint功能
-- 整合了常用的逻辑计算、转换类型、展示所有类型等
-- 支持节点上checkpoint、lora模型子目录分类及预览图 (请在设置中开启上下文菜单嵌套子目录)
-- 支持BriaAI的RMBG-1.4模型的背景去除节点，[技术参考](https://huggingface.co/briaai/RMBG-1.4)
-- 支持 强制清理comfyUI模型显存占用
-- 支持Stable Diffusion 3 多账号API节点
-- 支持IC-Light的应用 [示例参考](https://github.com/yolain/ComfyUI-Yolain-Workflows?tab=readme-ov-file#2-5-ic-light) | [代码整合来源](https://github.com/huchenlei/ComfyUI-IC-Light) | [技术参考](https://github.com/lllyasviel/IC-Light)
-- 中文提示词自动识别，使用[opus-mt-zh-en模型](https://huggingface.co/Helsinki-NLP/opus-mt-zh-en)
-- 支持 sd3 模型
-- 支持 kolors 模型
-- 支持 flux 模型
-- 支持 惰性条件判断（ifElse）和 for循环
-
-## 👨🏻🔧 安装
-
-1. 将存储库克隆到 **custom_nodes** 目录并安装依赖
-```shell
-#1. git下载
-git clone https://github.com/yolain/ComfyUI-Easy-Use
-#2. 安装依赖
-双击install.bat安装依赖
-```
-
-## 👨🏻🚀 计划
-
-- [x] 更新便于维护的新前端代码
- - [x] 使用sass维护css样式
- - [x] 对原有扩展进行优化
- - [x] 增加新的组件（如节点时间统计等）
-- [ ] 在[ComfyUI-Yolain-Workflows](https://github.com/yolain/ComfyUI-Yolain-Workflows)中上传更多的工作流（如kolors,sd3等），并更新english版本的readme
-- [ ] 更详细功能介绍的 gitbook
-
-## 📜 更新日志
-
-**v1.2.5**
-
-- 支持mochi模型
-- 实现在循环主体中重复使用终端节点输出（例如预览图像和显示任何内容等输出节点...）
-
-**v1.2.4**
-
-- 增加 `easy imageSplitTiles` and `easy imageTilesFromBatch` - 图像分块
-- 支持 `model_override`,`vae_override`,`clip_override` 可以在 `easy fullLoader` 中单独输入
-- 增加 `easy saveImageLazy`
-- 增加 `easy loadImageForLoop`
-- 增加 `easy isFileExist`
-- 增加 `easy saveText`
-
-**v1.2.3**
-
-- `easy showAnything` 和 `easy cleanGPUUsed` 增加输出插槽
-- 添加新的人体分割在 `easy humanSegmentation` 节点上 - 代码从 [ComfyUI_Human_Parts](https://github.com/metal3d/ComfyUI_Human_Parts) 整合
-- 当你在 `easy preSamplingCustom` 节点上选择basicGuider，CFG>0 且当前模型为Flux时，将使用FluxGuidance
-- 增加 `easy loraStackApply` and `easy controlnetStackApply`
-
-**v1.2.2**
-
-- 增加 `easy batchAny`
-- 增加 `easy anythingIndexSwitch`
-- 增加 `easy forLoopStart` 和 `easy forLoopEnd`
-- 增加 `easy ifElse`
-- 增加 v2 版本新前端代码
-- 增加 `easy fluxLoader`
-- 增加 `controlnetApply` 相关节点对sd3和hunyuanDiT的支持
-- 修复 当使用fooocus inpaint后，再使用Lora模型无法生效的问题
-
-**v1.2.1**
-
-- 增加 `easy ipadapterApplyFaceIDKolors`
-- `easy ipadapterApply` 和 `easy ipadapterApplyADV` 增加 **PLUS (kolors genernal)** 和 **FACEID PLUS KOLORS** 预置项
-- `easy imageRemBg` 增加 **inspyrenet** 选项
-- 增加 `easy controlnetLoader++`
-- 去除 `easy positive` `easy negative` 等prompt节点的自动将中文翻译功能，自动翻译仅在 `easy a1111Loader` 等不支持中文TE的加载器中生效
-- 增加 `easy kolorsLoader` - 可灵加载器，参考了 [MinusZoneAI](https://github.com/MinusZoneAI/ComfyUI-Kolors-MZ) 和 [kijai](https://github.com/kijai/ComfyUI-KwaiKolorsWrapper) 的代码。
-
-**v1.2.0**
-
-- 增加 `easy pulIDApply` 和 `easy pulIDApplyADV`
-- 增加 `easy hunyuanDiTLoader` 和 `easy pixArtLoader`
-- 当新菜单的位置在上或者下时增加上 crystools 的显示，推荐开两个就好（如果后续crystools有更新UI适配我可能会删除掉）
-- 增加 **easy sliderControl** - 滑块控制节点，当前可用于控制ipadapterMS的参数 (双击滑块可重置为默认值)
-- 增加 **layer_weights** 属性在 `easy ipadapterApplyADV` 节点
-
-**v1.1.9**
-
-- 增加 新的调度器 **gitsScheduler**
-- 增加 `easy imageBatchToImageList` 和 `easy imageListToImageBatch` (修复Impact版的一点小问题)
-- 递归模型子目录嵌套
-- 支持 sd3 模型
-- 增加 `easy applyInpaint` - 局部重绘全模式节点 (相比与之前的kSamplerInpating节点逻辑会更合理些)
-
-**v1.1.8**
-
-- 增加中文提示词自动翻译，使用[opus-mt-zh-en模型](https://huggingface.co/Helsinki-NLP/opus-mt-zh-en), 默认已对wildcard、lora正则处理, 其他需要保留的中文，可使用`@你的提示词@`包裹 (若依赖安装完成后报错, 请重启)，测算大约会占0.3GB显存
-- 增加 `easy controlnetStack` - controlnet堆
-- 增加 `easy applyBrushNet` - [示例参考](https://github.com/yolain/ComfyUI-Yolain-Workflows/blob/main/workflows/2_advanced/2-4inpainting/2-4brushnet_1.1.8.json)
-- 增加 `easy applyPowerPaint` - [示例参考](https://github.com/yolain/ComfyUI-Yolain-Workflows/blob/main/workflows/2_advanced/2-4inpainting/2-4powerpaint_outpaint_1.1.8.json)
-
-**v1.1.7**
-
-- 修复 一些模型(如controlnet模型等)未成功写入缓存，导致修改前置节点束参数（如提示词）需要二次载入模型的问题
-- 增加 `easy prompt` - 主体和光影预置项，后期可能会调整
-- 增加 `easy icLightApply` - 重绘光影, 从[ComfyUI-IC-Light](https://github.com/huchenlei/ComfyUI-IC-Light)优化
-- 增加 `easy imageSplitGrid` - 图像网格拆分
-- `easy kSamplerInpainting` 的 **additional** 属性增加差异扩散和brushnet等相关选项
-- 增加 brushnet模型加载的支持 - [ComfyUI-BrushNet](https://github.com/nullquant/ComfyUI-BrushNet)
-- 增加 `easy applyFooocusInpaint` - Fooocus内补节点 替代原有的 FooocusInpaintLoader
-- 移除 `easy fooocusInpaintLoader` - 容易bug，不再使用
-- 修改 easy kSampler等采样器中并联的model 不再替换输出中pipe里的model
-
-**v1.1.6**
-
-- 增加步调齐整适配 - 在所有的预采样和全采样器节点中的 调度器(schedulder) 增加了 **alignYourSteps** 选项
-- `easy kSampler` 和 `easy fullkSampler` 的 **image_output** 增加 **Preview&Choose**选项
-- 增加 `easy styleAlignedBatchAlign` - 风格对齐 [style_aligned_comfy](https://github.com/brianfitzgerald/style_aligned_comfy)
-- 增加 `easy ckptNames`
-- 增加 `easy controlnetNames`
-- 增加 `easy imagesSplitimage` - 批次图像拆分单张
-- 增加 `easy imageCount` - 图像数量
-- 增加 `easy textSwitch` - 文字切换
-
-**v1.1.5**
-
-- 重写 `easy cleanGPUUsed` - 可强制清理comfyUI的模型显存占用
-- 增加 `easy humanSegmentation` - 多类分割、人像分割
-- 增加 `easy imageColorMatch`
-- 增加 `easy ipadapterApplyRegional`
-- 增加 `easy ipadapterApplyFromParams`
-- 增加 `easy imageInterrogator` - 图像反推
-- 增加 `easy stableDiffusion3API` - 简易的Stable Diffusion 3 多账号API节点
-
-**v1.1.4**
-
-- 增加 `easy imageChooser` - 从[cg-image-picker](https://github.com/chrisgoringe/cg-image-picker)简化的图片选择器
-- 增加 `easy preSamplingCustom` - 自定义预采样，可支持cosXL-edit
-- 增加 `easy ipadapterStyleComposition`
-- 增加 在Loaders上右键菜单可查看 checkpoints、lora 信息
-- 修复 `easy preSamplingNoiseIn`、`easy latentNoisy`、`east Unsampler` 以兼容ComfyUI Revision>=2098 [0542088e] 以上版本
-- 修复 FooocusInpaint修改ModelPatcher计算权重引发的问题，理应在生成model后重置ModelPatcher为默认值
-
-**v1.1.3**
-
-- `easy ipadapterApply` 增加 **COMPOSITION** 预置项
-- 增加 对[ResAdapter](https://huggingface.co/jiaxiangc/res-adapter) lora模型 的加载支持
-- 增加 `easy promptLine`
-- 增加 `easy promptReplace`
-- 增加 `easy promptConcat`
-- `easy wildcards` 增加 **multiline_mode**属性
-- 增加 当节点需要下载模型时，若huggingface连接超时，会切换至镜像地址下载模型
-
-
-v1.1.2
-
-
-v1.1.1/b>
-
-
-v1.1.0
-
-
-v1.0.9
-
-
-v1.0.8
-
-
-v1.0.7
-
-
-v1.0.6
-
-
-v1.0.5
-
-
-v1.0.4
-
-
-v1.0.3
-
-
-v1.0.2
-
-
-v1.0.1
-
-
-v1.0.0
-
-
-
-v0.5
-
-## 整合参考到的相关节点包
-
-声明: 非常尊重这些原作者们的付出，开源不易，我仅仅只是做了一些整合与优化。
-
-| 节点名 (搜索名) | 相关的库 | 库相关的节点 |
-|:-------------------------------|:----------------------------------------------------------------------------|:------------------------|
-| easy setNode | [ComfyUI-extensions](https://github.com/diffus3/ComfyUI-extensions) | diffus3.SetNode |
-| easy getNode | [ComfyUI-extensions](https://github.com/diffus3/ComfyUI-extensions) | diffus3.GetNode |
-| easy bookmark | [rgthree-comfy](https://github.com/rgthree/rgthree-comfy) | Bookmark 🔖 |
-| easy portraitMarker | [comfyui-portrait-master](https://github.com/florestefano1975/comfyui-portrait-master) | Portrait Master |
-| easy LLLiteLoader | [ControlNet-LLLite-ComfyUI](https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI) | LLLiteLoader |
-| easy globalSeed | [ComfyUI-Inspire-Pack](https://github.com/ltdrdata/ComfyUI-Inspire-Pack) | Global Seed (Inspire) |
-| easy preSamplingDynamicCFG | [sd-dynamic-thresholding](https://github.com/mcmonkeyprojects/sd-dynamic-thresholding) | DynamicThresholdingFull |
-| dynamicThresholdingFull | [sd-dynamic-thresholding](https://github.com/mcmonkeyprojects/sd-dynamic-thresholding) | DynamicThresholdingFull |
-| easy imageInsetCrop | [rgthree-comfy](https://github.com/rgthree/rgthree-comfy) | ImageInsetCrop |
-| easy poseEditor | [ComfyUI_Custom_Nodes_AlekPet](https://github.com/AlekPet/ComfyUI_Custom_Nodes_AlekPet) | poseNode |
-| easy if | [ComfyUI-Logic](https://github.com/theUpsider/ComfyUI-Logic) | IfExecute |
-| easy preSamplingLayerDiffusion | [ComfyUI-layerdiffusion](https://github.com/huchenlei/ComfyUI-layerdiffusion) | LayeredDiffusionApply等 |
-| easy dynamiCrafterLoader | [ComfyUI-layerdiffusion](https://github.com/ExponentialML/ComfyUI_Native_DynamiCrafter) | Apply Dynamicrafter |
-| easy imageChooser | [cg-image-picker](https://github.com/chrisgoringe/cg-image-picker) | Preview Chooser |
-| easy styleAlignedBatchAlign | [style_aligned_comfy](https://github.com/chrisgoringe/cg-image-picker) | styleAlignedBatchAlign |
-| easy icLightApply | [ComfyUI-IC-Light](https://github.com/huchenlei/ComfyUI-IC-Light) | ICLightApply等 |
-| easy kolorsLoader | [ComfyUI-Kolors-MZ](https://github.com/MinusZoneAI/ComfyUI-Kolors-MZ) | kolorsLoader |
-
-## Credits
-
-[ComfyUI](https://github.com/comfyanonymous/ComfyUI) - 功能强大且模块化的Stable Diffusion GUI
-
-[ComfyUI-ComfyUI-Manager](https://github.com/ltdrdata/ComfyUI-Manager) - ComfyUI管理器
-
-[tinyterraNodes](https://github.com/TinyTerra/ComfyUI_tinyterraNodes) - 管道节点（节点束）让用户减少了不必要的连接
-
-[ComfyUI-extensions](https://github.com/diffus3/ComfyUI-extensions) - diffus3的获取与设置点让用户可以分离工作流构成
-
-[ComfyUI-Impact-Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack) - 常规整合包1
-
-[ComfyUI-Inspire-Pack](https://github.com/ltdrdata/ComfyUI-Inspire-Pack) - 常规整合包2
-
-[ComfyUI-Logic](https://github.com/theUpsider/ComfyUI-Logic) - ComfyUI逻辑运算
-
-[ComfyUI-ResAdapter](https://github.com/jiaxiangc/ComfyUI-ResAdapter) - 让模型生成不受训练分辨率限制
-
-[ComfyUI_IPAdapter_plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) - 风格迁移
-
-[ComfyUI_InstantID](https://github.com/cubiq/ComfyUI_InstantID) - 人脸迁移
-
-[ComfyUI_PuLID](https://github.com/cubiq/PuLID_ComfyUI) - 人脸迁移
-
-[ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts) - pyssss 小蛇🐍脚本
-
-[cg-image-picker](https://github.com/chrisgoringe/cg-image-picker) - 图片选择器
-
-[ComfyUI-BrushNet](https://github.com/nullquant/ComfyUI-BrushNet) - BrushNet 内补节点
-
-[ComfyUI_ExtraModels](https://github.com/city96/ComfyUI_ExtraModels) - DiT架构相关节点（Pixart、混元DiT等）
-
-## ☕️ Donation
-
-**Comfyui-Easy-Use** 是一个 GPL 许可的开源项目。为了项目取得更好、可持续的发展，我希望能够获得更多的支持。 如果我的自定义节点为您的一天增添了价值，请考虑喝杯咖啡来进一步补充能量！ 💖感谢您的支持，每一杯咖啡都是我创作的动力！
-
-- [BiliBili充电](https://space.bilibili.com/1840885116)
-- [爱发电](https://afdian.com/a/yolain)
-- [Wechat/Alipay](https://github.com/user-attachments/assets/803469bd-ed6a-4fab-932d-50e5088a2d03)
-
-感谢您的捐助，我将用这些费用来租用 GPU 或购买其他 GPT 服务，以便更好地调试和完善 ComfyUI-Easy-Use 功能
-
-## 🌟Stargazers
-
-My gratitude extends to the generous souls who bestow a star. Your support is much appreciated!
-
+
+
+
+
+**ComfyUI-Easy-Use** 是一个化繁为简的节点整合包, 在 [tinyterraNodes](https://github.com/TinyTerra/ComfyUI_tinyterraNodes) 的基础上进行延展，并针对了诸多主流的节点包做了整合与优化，以达到更快更方便使用ComfyUI的目的，在保证自由度的同时还原了本属于Stable Diffusion的极致畅快出图体验。
+
+## 👨🏻🎨 特色介绍
+
+- 沿用了 [tinyterraNodes](https://github.com/TinyTerra/ComfyUI_tinyterraNodes) 的思路，大大减少了折腾工作流的时间成本。
+- UI界面美化，首次安装的用户，如需使用UI主题，请在 Settings -> Color Palette 中自行切换主题并**刷新页面**即可
+- 增加了预采样参数配置的节点，可与采样节点分离，更方便预览。
+- 支持通配符与Lora的提示词节点，如需使用Lora Block Weight用法，需先保证自定义节点包中安装了 [ComfyUI-Inspire-Pack](https://github.com/ltdrdata/ComfyUI-Inspire-Pack)
+- 可多选的风格化提示词选择器，默认是Fooocus的样式json，可自定义json放在styles底下，samples文件夹里可放预览图(名称和name一致,图片文件名如有空格需转为下划线'_')
+- 加载器可开启A1111提示词风格模式，可重现与webui生成近乎相同的图像，需先安装 [ComfyUI_smZNodes](https://github.com/shiimizu/ComfyUI_smZNodes)
+- 可使用`easy latentNoisy`或`easy preSamplingNoiseIn`节点实现对潜空间的噪声注入
+- 简化 SD1.x、SD2.x、SDXL、SVD、Zero123等流程
+- 简化 Stable Cascade [示例参考](https://github.com/yolain/ComfyUI-Yolain-Workflows?tab=readme-ov-file#1-13-stable-cascade)
+- 简化 Layer Diffuse [示例参考](https://github.com/yolain/ComfyUI-Yolain-Workflows?tab=readme-ov-file#2-3-layerdiffusion)
+- 简化 InstantID [示例参考](https://github.com/yolain/ComfyUI-Yolain-Workflows?tab=readme-ov-file#2-2-instantid), 需先保证自定义节点包中安装了 [ComfyUI_InstantID](https://github.com/cubiq/ComfyUI_InstantID)
+- 简化 IPAdapter, 需先保证自定义节点包中安装最新版v2的 [ComfyUI_IPAdapter_plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus)
+- 扩展 XYplot 的可用性
+- 整合了Fooocus Inpaint功能
+- 整合了常用的逻辑计算、转换类型、展示所有类型等
+- 支持节点上checkpoint、lora模型子目录分类及预览图 (请在设置中开启上下文菜单嵌套子目录)
+- 支持BriaAI的RMBG-1.4模型的背景去除节点，[技术参考](https://huggingface.co/briaai/RMBG-1.4)
+- 支持 强制清理comfyUI模型显存占用
+- 支持Stable Diffusion 3 多账号API节点
+- 支持IC-Light的应用 [示例参考](https://github.com/yolain/ComfyUI-Yolain-Workflows?tab=readme-ov-file#2-5-ic-light) | [代码整合来源](https://github.com/huchenlei/ComfyUI-IC-Light) | [技术参考](https://github.com/lllyasviel/IC-Light)
+- 中文提示词自动识别，使用[opus-mt-zh-en模型](https://huggingface.co/Helsinki-NLP/opus-mt-zh-en)
+- 支持 sd3 模型
+- 支持 kolors 模型
+- 支持 flux 模型
+- 支持 惰性条件判断（ifElse）和 for循环
+
+## 👨🏻🔧 安装
+
+1. 将存储库克隆到 **custom_nodes** 目录并安装依赖
+```shell
+#1. git下载
+git clone https://github.com/yolain/ComfyUI-Easy-Use
+#2. 安装依赖
+双击install.bat安装依赖
+```
+
+## 📜 更新日志
+
+**v1.2.6**
+
+- 修复因设置节点中缺少相连接的自定义节点而导致弄乱画布的问题
+
+**v1.2.5**
+
+- 在 `easy preSamplingCustom` 和 `easy preSamplingAdvanced` 上增加 `enable (GPU=A1111)` 噪波生成模式选择项
+- 增加 `easy makeImageForICLora`
+- 在 `easy ipadapterApply` 添加 `REGULAR - FLUX and SD3.5 only (high strength)` 预置项以支持 InstantX Flux ipadapter
+- 修复brushnet 无法在 `--fast` 模式下使用
+- 支持briaai RMBG-2.0
+- 支持mochi模型
+- 实现在循环主体中重复使用终端节点输出（例如预览图像和显示任何内容等输出节点...）
+
+**v1.2.4**
+
+- 增加 `easy imageSplitTiles` and `easy imageTilesFromBatch` - 图像分块
+- 支持 `model_override`,`vae_override`,`clip_override` 可以在 `easy fullLoader` 中单独输入
+- 增加 `easy saveImageLazy`
+- 增加 `easy loadImageForLoop`
+- 增加 `easy isFileExist`
+- 增加 `easy saveText`
+
+**v1.2.3**
+
+- `easy showAnything` 和 `easy cleanGPUUsed` 增加输出插槽
+- 添加新的人体分割在 `easy humanSegmentation` 节点上 - 代码从 [ComfyUI_Human_Parts](https://github.com/metal3d/ComfyUI_Human_Parts) 整合
+- 当你在 `easy preSamplingCustom` 节点上选择basicGuider，CFG>0 且当前模型为Flux时，将使用FluxGuidance
+- 增加 `easy loraStackApply` and `easy controlnetStackApply`
+
+**v1.2.2**
+
+- 增加 `easy batchAny`
+- 增加 `easy anythingIndexSwitch`
+- 增加 `easy forLoopStart` 和 `easy forLoopEnd`
+- 增加 `easy ifElse`
+- 增加 v2 版本新前端代码
+- 增加 `easy fluxLoader`
+- 增加 `controlnetApply` 相关节点对sd3和hunyuanDiT的支持
+- 修复 当使用fooocus inpaint后，再使用Lora模型无法生效的问题
+
+**v1.2.1**
+
+- 增加 `easy ipadapterApplyFaceIDKolors`
+- `easy ipadapterApply` 和 `easy ipadapterApplyADV` 增加 **PLUS (kolors genernal)** 和 **FACEID PLUS KOLORS** 预置项
+- `easy imageRemBg` 增加 **inspyrenet** 选项
+- 增加 `easy controlnetLoader++`
+- 去除 `easy positive` `easy negative` 等prompt节点的自动将中文翻译功能，自动翻译仅在 `easy a1111Loader` 等不支持中文TE的加载器中生效
+- 增加 `easy kolorsLoader` - 可灵加载器，参考了 [MinusZoneAI](https://github.com/MinusZoneAI/ComfyUI-Kolors-MZ) 和 [kijai](https://github.com/kijai/ComfyUI-KwaiKolorsWrapper) 的代码。
+
+**v1.2.0**
+
+- 增加 `easy pulIDApply` 和 `easy pulIDApplyADV`
+- 增加 `easy hunyuanDiTLoader` 和 `easy pixArtLoader`
+- 当新菜单的位置在上或者下时增加上 crystools 的显示，推荐开两个就好（如果后续crystools有更新UI适配我可能会删除掉）
+- 增加 **easy sliderControl** - 滑块控制节点，当前可用于控制ipadapterMS的参数 (双击滑块可重置为默认值)
+- 增加 **layer_weights** 属性在 `easy ipadapterApplyADV` 节点
+
+**v1.1.9**
+
+- 增加 新的调度器 **gitsScheduler**
+- 增加 `easy imageBatchToImageList` 和 `easy imageListToImageBatch` (修复Impact版的一点小问题)
+- 递归模型子目录嵌套
+- 支持 sd3 模型
+- 增加 `easy applyInpaint` - 局部重绘全模式节点 (相比与之前的kSamplerInpating节点逻辑会更合理些)
+
+**v1.1.8**
+
+- 增加中文提示词自动翻译，使用[opus-mt-zh-en模型](https://huggingface.co/Helsinki-NLP/opus-mt-zh-en), 默认已对wildcard、lora正则处理, 其他需要保留的中文，可使用`@你的提示词@`包裹 (若依赖安装完成后报错, 请重启)，测算大约会占0.3GB显存
+- 增加 `easy controlnetStack` - controlnet堆
+- 增加 `easy applyBrushNet` - [示例参考](https://github.com/yolain/ComfyUI-Yolain-Workflows/blob/main/workflows/2_advanced/2-4inpainting/2-4brushnet_1.1.8.json)
+- 增加 `easy applyPowerPaint` - [示例参考](https://github.com/yolain/ComfyUI-Yolain-Workflows/blob/main/workflows/2_advanced/2-4inpainting/2-4powerpaint_outpaint_1.1.8.json)
+
+**v1.1.7**
+
+- 修复 一些模型(如controlnet模型等)未成功写入缓存，导致修改前置节点束参数（如提示词）需要二次载入模型的问题
+- 增加 `easy prompt` - 主体和光影预置项，后期可能会调整
+- 增加 `easy icLightApply` - 重绘光影, 从[ComfyUI-IC-Light](https://github.com/huchenlei/ComfyUI-IC-Light)优化
+- 增加 `easy imageSplitGrid` - 图像网格拆分
+- `easy kSamplerInpainting` 的 **additional** 属性增加差异扩散和brushnet等相关选项
+- 增加 brushnet模型加载的支持 - [ComfyUI-BrushNet](https://github.com/nullquant/ComfyUI-BrushNet)
+- 增加 `easy applyFooocusInpaint` - Fooocus内补节点 替代原有的 FooocusInpaintLoader
+- 移除 `easy fooocusInpaintLoader` - 容易bug，不再使用
+- 修改 easy kSampler等采样器中并联的model 不再替换输出中pipe里的model
+
+**v1.1.6**
+
+- 增加步调齐整适配 - 在所有的预采样和全采样器节点中的 调度器(schedulder) 增加了 **alignYourSteps** 选项
+- `easy kSampler` 和 `easy fullkSampler` 的 **image_output** 增加 **Preview&Choose**选项
+- 增加 `easy styleAlignedBatchAlign` - 风格对齐 [style_aligned_comfy](https://github.com/brianfitzgerald/style_aligned_comfy)
+- 增加 `easy ckptNames`
+- 增加 `easy controlnetNames`
+- 增加 `easy imagesSplitimage` - 批次图像拆分单张
+- 增加 `easy imageCount` - 图像数量
+- 增加 `easy textSwitch` - 文字切换
+
+**v1.1.5**
+
+- 重写 `easy cleanGPUUsed` - 可强制清理comfyUI的模型显存占用
+- 增加 `easy humanSegmentation` - 多类分割、人像分割
+- 增加 `easy imageColorMatch`
+- 增加 `easy ipadapterApplyRegional`
+- 增加 `easy ipadapterApplyFromParams`
+- 增加 `easy imageInterrogator` - 图像反推
+- 增加 `easy stableDiffusion3API` - 简易的Stable Diffusion 3 多账号API节点
+
+**v1.1.4**
+
+- 增加 `easy imageChooser` - 从[cg-image-picker](https://github.com/chrisgoringe/cg-image-picker)简化的图片选择器
+- 增加 `easy preSamplingCustom` - 自定义预采样，可支持cosXL-edit
+- 增加 `easy ipadapterStyleComposition`
+- 增加 在Loaders上右键菜单可查看 checkpoints、lora 信息
+- 修复 `easy preSamplingNoiseIn`、`easy latentNoisy`、`east Unsampler` 以兼容ComfyUI Revision>=2098 [0542088e] 以上版本
+- 修复 FooocusInpaint修改ModelPatcher计算权重引发的问题，理应在生成model后重置ModelPatcher为默认值
+
+**v1.1.3**
+
+- `easy ipadapterApply` 增加 **COMPOSITION** 预置项
+- 增加 对[ResAdapter](https://huggingface.co/jiaxiangc/res-adapter) lora模型 的加载支持
+- 增加 `easy promptLine`
+- 增加 `easy promptReplace`
+- 增加 `easy promptConcat`
+- `easy wildcards` 增加 **multiline_mode**属性
+- 增加 当节点需要下载模型时，若huggingface连接超时，会切换至镜像地址下载模型
+
+
+v1.1.2
+
+
+v1.1.1/b>
+
+
+v1.1.0
+
+
+v1.0.9
+
+
+v1.0.8
+
+
+v1.0.7
+
+
+v1.0.6
+
+
+v1.0.5
+
+
+v1.0.4
+
+
+v1.0.3
+
+
+v1.0.2
+
+
+v1.0.1
+
+
+v1.0.0
+
+
+
+v0.5
+
+## 整合参考到的相关节点包
+
+声明: 非常尊重这些原作者们的付出，开源不易，我仅仅只是做了一些整合与优化。
+
+| 节点名 (搜索名) | 相关的库 | 库相关的节点 |
+|:-------------------------------|:----------------------------------------------------------------------------|:------------------------|
+| easy setNode | [ComfyUI-extensions](https://github.com/diffus3/ComfyUI-extensions) | diffus3.SetNode |
+| easy getNode | [ComfyUI-extensions](https://github.com/diffus3/ComfyUI-extensions) | diffus3.GetNode |
+| easy bookmark | [rgthree-comfy](https://github.com/rgthree/rgthree-comfy) | Bookmark 🔖 |
+| easy portraitMarker | [comfyui-portrait-master](https://github.com/florestefano1975/comfyui-portrait-master) | Portrait Master |
+| easy LLLiteLoader | [ControlNet-LLLite-ComfyUI](https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI) | LLLiteLoader |
+| easy globalSeed | [ComfyUI-Inspire-Pack](https://github.com/ltdrdata/ComfyUI-Inspire-Pack) | Global Seed (Inspire) |
+| easy preSamplingDynamicCFG | [sd-dynamic-thresholding](https://github.com/mcmonkeyprojects/sd-dynamic-thresholding) | DynamicThresholdingFull |
+| dynamicThresholdingFull | [sd-dynamic-thresholding](https://github.com/mcmonkeyprojects/sd-dynamic-thresholding) | DynamicThresholdingFull |
+| easy imageInsetCrop | [rgthree-comfy](https://github.com/rgthree/rgthree-comfy) | ImageInsetCrop |
+| easy poseEditor | [ComfyUI_Custom_Nodes_AlekPet](https://github.com/AlekPet/ComfyUI_Custom_Nodes_AlekPet) | poseNode |
+| easy if | [ComfyUI-Logic](https://github.com/theUpsider/ComfyUI-Logic) | IfExecute |
+| easy preSamplingLayerDiffusion | [ComfyUI-layerdiffusion](https://github.com/huchenlei/ComfyUI-layerdiffusion) | LayeredDiffusionApply等 |
+| easy dynamiCrafterLoader | [ComfyUI-layerdiffusion](https://github.com/ExponentialML/ComfyUI_Native_DynamiCrafter) | Apply Dynamicrafter |
+| easy imageChooser | [cg-image-picker](https://github.com/chrisgoringe/cg-image-picker) | Preview Chooser |
+| easy styleAlignedBatchAlign | [style_aligned_comfy](https://github.com/chrisgoringe/cg-image-picker) | styleAlignedBatchAlign |
+| easy icLightApply | [ComfyUI-IC-Light](https://github.com/huchenlei/ComfyUI-IC-Light) | ICLightApply等 |
+| easy kolorsLoader | [ComfyUI-Kolors-MZ](https://github.com/MinusZoneAI/ComfyUI-Kolors-MZ) | kolorsLoader |
+
+## Credits
+
+[ComfyUI](https://github.com/comfyanonymous/ComfyUI) - 功能强大且模块化的Stable Diffusion GUI
+
+[ComfyUI-ComfyUI-Manager](https://github.com/ltdrdata/ComfyUI-Manager) - ComfyUI管理器
+
+[tinyterraNodes](https://github.com/TinyTerra/ComfyUI_tinyterraNodes) - 管道节点（节点束）让用户减少了不必要的连接
+
+[ComfyUI-extensions](https://github.com/diffus3/ComfyUI-extensions) - diffus3的获取与设置点让用户可以分离工作流构成
+
+[ComfyUI-Impact-Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack) - 常规整合包1
+
+[ComfyUI-Inspire-Pack](https://github.com/ltdrdata/ComfyUI-Inspire-Pack) - 常规整合包2
+
+[ComfyUI-Logic](https://github.com/theUpsider/ComfyUI-Logic) - ComfyUI逻辑运算
+
+[ComfyUI-ResAdapter](https://github.com/jiaxiangc/ComfyUI-ResAdapter) - 让模型生成不受训练分辨率限制
+
+[ComfyUI_IPAdapter_plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) - 风格迁移
+
+[ComfyUI_InstantID](https://github.com/cubiq/ComfyUI_InstantID) - 人脸迁移
+
+[ComfyUI_PuLID](https://github.com/cubiq/PuLID_ComfyUI) - 人脸迁移
+
+[ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts) - pyssss 小蛇🐍脚本
+
+[cg-image-picker](https://github.com/chrisgoringe/cg-image-picker) - 图片选择器
+
+[ComfyUI-BrushNet](https://github.com/nullquant/ComfyUI-BrushNet) - BrushNet 内补节点
+
+[ComfyUI_ExtraModels](https://github.com/city96/ComfyUI_ExtraModels) - DiT架构相关节点（Pixart、混元DiT等）
+
+## ☕️ Donation
+
+**Comfyui-Easy-Use** 是一个 GPL 许可的开源项目。为了项目取得更好、可持续的发展，我希望能够获得更多的支持。 如果我的自定义节点为您的一天增添了价值，请考虑喝杯咖啡来进一步补充能量！ 💖感谢您的支持，每一杯咖啡都是我创作的动力！
+
+- [BiliBili充电](https://space.bilibili.com/1840885116)
+- [爱发电](https://afdian.com/a/yolain)
+- [Wechat/Alipay](https://github.com/user-attachments/assets/803469bd-ed6a-4fab-932d-50e5088a2d03)
+
+感谢您的捐助，我将用这些费用来租用 GPU 或购买其他 GPT 服务，以便更好地调试和完善 ComfyUI-Easy-Use 功能
+
+## 🌟Stargazers
+
+My gratitude extends to the generous souls who bestow a star. Your support is much appreciated!
+
[](https://github.com/yolain/ComfyUI-Easy-Use/stargazers)
\ No newline at end of file
diff --git a/README.md b/README.md
index 4d8703c..2659bf4 100644
--- a/README.md
+++ b/README.md
@@ -1,475 +1,475 @@
-
-
-
-
-**ComfyUI-Easy-Use** is an efficiency custom nodes integration package, which is extended on the basis of [TinyTerraNodes](https://github.com/TinyTerra/ComfyUI_tinyterraNodes). It has been integrated and optimized for many popular awesome custom nodes to achieve the purpose of faster and more convenient use of ComfyUI. While ensuring the degree of freedom, it restores the ultimate smooth image production experience that belongs to Stable Diffusion.
-
-## 👨🏻🎨 Introduce
-
-- Inspire by [tinyterraNodes](https://github.com/TinyTerra/ComfyUI_tinyterraNodes), which greatly reduces the time cost of tossing workflows。
-- UI interface beautification, the first time you install the user, if you need to use the UI theme, please switch the theme in Settings -> Color Palette and refresh page.
-- Added a node for pre-sampling parameter configuration, which can be separated from the sampling node for easier previewing
-- Wildcards and lora's are supported, for Lora Block Weight usage, ensure that the custom node package has the [ComfyUI-Inspire-Pack](https://github.com/ltdrdata/ComfyUI-Inspire-Pack)
-- Multi-selectable styled cue word selector, default is Fooocus style json, custom json can be placed under styles, samples folder can be placed in the preview image (name and name consistent, image file name such as spaces need to be converted to underscores '_')
-- The loader enables the A1111 prompt mode, which reproduces nearly identical images to those generated by webui, and needs to be installed [ComfyUI_smZNodes](https://github.com/shiimizu/ComfyUI_smZNodes) first.
-- Noise injection into the latent space can be achieved using the `easy latentNoisy` or `easy preSamplingNoiseIn` node
-- Simplified processes for SD1.x, SD2.x, SDXL, SVD, Zero123, etc. [Example](https://github.com/yolain/ComfyUI-Easy-Use?tab=readme-ov-file#StableDiffusion)
-- Simplified Stable Cascade [Example](https://github.com/yolain/ComfyUI-Easy-Use?tab=readme-ov-file#StableCascade)
-- Simplified Layer Diffuse [Example](https://github.com/yolain/ComfyUI-Easy-Use?tab=readme-ov-file#LayerDiffusion)，The first time you use it you may need to run `pip install -r requirements.txt` to install the required dependencies.
-- Simplified InstantID [Example](https://github.com/yolain/ComfyUI-Easy-Use?tab=readme-ov-file#InstantID), You need to make sure that the custom node package has the [ComfyUI_InstantID](https://github.com/cubiq/ComfyUI_InstantID)
-- Extending the usability of XYplot
-- Fooocus Inpaint integration
-- Integration of common logical calculations, conversion of types, display of all types, etc.
-- Background removal nodes for the RMBG-1.4 model supporting BriaAI, [BriaAI Guide](https://huggingface.co/briaai/RMBG-1.4)
-- Forcibly cleared the memory usage of the comfy UI model are supported
-- Stable Diffusion 3 multi-account API nodes are supported
-- Support SD3's model
-- Support Kolors‘s model
-- Support Flux's model
-- Support lazy if else and for loops
-
-## 👨🏻🔧 Installation
-Clone the repo into the **custom_nodes** directory and install the requirements:
-```shell
-#1. Clone the repo
-git clone https://github.com/yolain/ComfyUI-Easy-Use
-#2. Install the requirements
-Double-click install.bat to install the required dependencies
-```
-
-## 👨🏻🚀 Plan
-
-- [x] Updated new front-end code for easier maintenance
- - [x] Maintain css styles using sass
- - [x] Optimize existing extensions
- - [x] Add new components
-- [ ] Upload new workflows to [ComfyUI-Yolain-Workflows](https://github.com/yolain/ComfyUI-Yolain-Workflows) and translate readme to english version.
-- [ ] Write gitbook with more detailed function introdution
-
-## 📜 Changelog
-
-**v1.2.5**
-
-- Support mochi
-- Implement reuse of end nodes output in the loop body (e.g: previewImage and showAnything and sth.)
-
-**v1.2.4**
-
-- Added `easy imageSplitTiles` and `easy imageTilesFromBatch`
-- Support `model_override`,`vae_override`,`clip_override` can be input separately to `easy fullLoader`
-- Added `easy saveImageLazy`
-- Added `easy loadImageForLoop`
-- Added `easy isFileExist`
-- Added `easy saveText`
-
-**v1.2.3**
-
-- `easy showAnything` and `easy cleanGPUUsed` added slot of output
-- Added human parts segmentation to `easy humanSegmentation` - Code based on [ComfyUI_Human_Parts](https://github.com/metal3d/ComfyUI_Human_Parts)
-- Using FluxGuidance when you are using a flux model and choose basicGuider and set the cfg>0 on `easy preSamplingCustom`
-- Added `easy loraStackApply` and `easy controlnetStackApply` - Apply loraStack and controlnetStack
-
-**v1.2.2**
-
-- Added `easy batchAny`
-- Added `easy anythingIndexSwitch`
-- Added `easy forLoopStart` and `easy forLoopEnd`
-- Added `easy ifElse`
-- Added v2 web frond-end code
-- Added `easy fluxLoader`
-- Added support for `controlnetApply` Related nodes with SD3 and hunyuanDiT
-- Fixed after using `easy applyFooocusInpaint`, all lora models become unusable
-
-**v1.2.1**
-
-- Added `easy ipadapterApplyFaceIDKolors`
-- Added **inspyrenet** to `easy imageRemBg`
-- Added `easy controlnetLoader++`
-- Added **PLUS (kolors genernal)** and **FACEID PLUS KOLORS** preset to `easy ipadapterApply` and `easy ipadapterApplyADV` (Supported kolors ipadapter）
-- Added `easy kolorsLoader` - Code based on [MinusZoneAI](https://github.com/MinusZoneAI/ComfyUI-Kolors-MZ)'s and [kijai](https://github.com/kijai/ComfyUI-KwaiKolorsWrapper)'s repo, thanks for their contribution.
-
-**v1.2.0**
-
-- Added `easy pulIDApply` and `easy pulIDApplyADV`
-- Added `easy huanyuanDiTLoader` and `easy pixArtLoader`
-- Added **easy sliderControl** - Slider control node, which can currently be used to control the parameters of ipadapterMS (double-click the slider to reset to default)
-- Added **layer_weights** in `easy ipadapterApplyADV`
-
-**v1.1.9**
-
-- Added **gitsScheduler**
-- Added `easy imageBatchToImageList` and `easy imageListToImageBatch`
-- Recursive subcategories nested for models
-- Support for Stable Diffusion 3 model
-- Added `easy applyInpaint` - All inpainting mode in this node
-
-**v1.1.8**
-
-- Added `easy controlnetStack`
-- Added `easy applyBrushNet` - [Workflow Example](https://github.com/yolain/ComfyUI-Yolain-Workflows/blob/main/workflows/2_advanced/2-4inpainting/2-4brushnet_1.1.8.json)
-- Added `easy applyPowerPaint` - [Workflow Example](https://github.com/yolain/ComfyUI-Yolain-Workflows/blob/main/workflows/2_advanced/2-4inpainting/2-4powerpaint_outpaint_1.1.8.json)
-
-**v1.1.7**
-
-- Added `easy prompt` - Subject and light presets, maybe adjusted later
-- Added `easy icLightApply` - Light and shadow migration, Code based on [ComfyUI-IC-Light](https://github.com/huchenlei/ComfyUI-IC-Light)
-- Added `easy imageSplitGrid`
-- `easy kSamplerInpainting` added options such as different diffusion and brushnet in **additional** widget
-- Support for brushnet model loading - [ComfyUI-BrushNet](https://github.com/nullquant/ComfyUI-BrushNet)
-- Added `easy applyFooocusInpaint` - Replace FooocusInpaintLoader
-- Removed `easy fooocusInpaintLoader`
-
-**v1.1.6**
-
-- Added **alignYourSteps** to **schedulder** widget in all `easy preSampling` and `easy fullkSampler`
-- Added **Preview&Choose** to **image_output** widget in `easy kSampler` & `easy fullkSampler`
-- Added `easy styleAlignedBatchAlign` - Credit of [style_aligned_comfy](https://github.com/brianfitzgerald/style_aligned_comfy)
-- Added `easy ckptNames`
-- Added `easy controlnetNames`
-- Added `easy imagesSplitimage` - Batch images split into single images
-- Added `easy imageCount` - Get Image Count
-- Added `easy textSwitch` - Text Switch
-
-**v1.1.5**
-
-- Rewrite `easy cleanGPUUsed` - the memory usage of the comfyUI can to be cleared
-- Added `easy humanSegmentation` - Human Part Segmentation
-- Added `easy imageColorMatch`
-- Added `easy ipadapterApplyRegional`
-- Added `easy ipadapterApplyFromParams`
-- Added `easy imageInterrogator` - Image To Prompt
-- Added `easy stableDiffusion3API` - Easy Stable Diffusion 3 Multiple accounts API Node
-
-**v1.1.4**
-
-- Added `easy preSamplingCustom` - Custom-PreSampling, can be supported cosXL-edit
-- Added `easy ipadapterStyleComposition`
-- Added the right-click menu to view checkpoints and lora information in all Loaders
-- Fixed `easy preSamplingNoiseIn`、`easy latentNoisy`、`east Unsampler` compatible with ComfyUI Revision>=2098 [0542088e] or later
-
-
-**v1.1.3**
-
-- `easy ipadapterApply` Added **COMPOSITION** preset
-- Supported [ResAdapter](https://huggingface.co/jiaxiangc/res-adapter) when load ResAdapter lora
-- Added `easy promptLine`
-- Added `easy promptReplace`
-- Added `easy promptConcat`
-- `easy wildcards` Added **multiline_mode**
-
-
-v1.1.2
-
-
-v1.1.1
-
-
-v1.1.0
-
-
-v1.0.9
-
-
-v1.0.8
-
-
-v1.0.7
-
-
-v1.0.6
-
-
-v1.0.5
-
-
-v1.0.4
-
-
-v1.0.3
-
-
-v1.0.2
-
-
-v1.0.1
-
-
-v1.0.0
-
-
-Updated at 12/14/2023
-
-
-Updated at 12/13/2023
-
-
-Updated at 12/11/2023
-
-## The relevant node package involved
-
-Disclaimer: Opened source was not easy. I have a lot of respect for the contributions of these original authors. I just did some integration and optimization.
-
-| Nodes Name(Search Name) | Related libraries | Library-related node |
-|:-------------------------------|:----------------------------------------------------------------------------|:-------------------------|
-| easy setNode | [ComfyUI-extensions](https://github.com/diffus3/ComfyUI-extensions) | diffus3.SetNode |
-| easy getNode | [ComfyUI-extensions](https://github.com/diffus3/ComfyUI-extensions) | diffus3.GetNode |
-| easy bookmark | [rgthree-comfy](https://github.com/rgthree/rgthree-comfy) | Bookmark 🔖 |
-| easy portraitMarker | [comfyui-portrait-master](https://github.com/florestefano1975/comfyui-portrait-master) | Portrait Master |
-| easy LLLiteLoader | [ControlNet-LLLite-ComfyUI](https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI) | LLLiteLoader |
-| easy globalSeed | [ComfyUI-Inspire-Pack](https://github.com/ltdrdata/ComfyUI-Inspire-Pack) | Global Seed (Inspire) |
-| easy preSamplingDynamicCFG | [sd-dynamic-thresholding](https://github.com/mcmonkeyprojects/sd-dynamic-thresholding) | DynamicThresholdingFull |
-| dynamicThresholdingFull | [sd-dynamic-thresholding](https://github.com/mcmonkeyprojects/sd-dynamic-thresholding) | DynamicThresholdingFull |
-| easy imageInsetCrop | [rgthree-comfy](https://github.com/rgthree/rgthree-comfy) | ImageInsetCrop |
-| easy poseEditor | [ComfyUI_Custom_Nodes_AlekPet](https://github.com/AlekPet/ComfyUI_Custom_Nodes_AlekPet) | poseNode |
-| easy preSamplingLayerDiffusion | [ComfyUI-layerdiffusion](https://github.com/huchenlei/ComfyUI-layerdiffusion) | LayeredDiffusionApply... |
-| easy dynamiCrafterLoader | [ComfyUI-layerdiffusion](https://github.com/ExponentialML/ComfyUI_Native_DynamiCrafter) | Apply Dynamicrafter |
-| easy imageChooser | [cg-image-picker](https://github.com/chrisgoringe/cg-image-picker) | Preview Chooser |
-| easy styleAlignedBatchAlign | [style_aligned_comfy](https://github.com/chrisgoringe/cg-image-picker) | styleAlignedBatchAlign |
-| easy kolorsLoader | [ComfyUI-Kolors-MZ](https://github.com/MinusZoneAI/ComfyUI-Kolors-MZ) | kolorsLoader |
-
-
-## Credits
-
-[ComfyUI](https://github.com/comfyanonymous/ComfyUI) - Powerful and modular Stable Diffusion GUI
-
-[ComfyUI-ComfyUI-Manager](https://github.com/ltdrdata/ComfyUI-Manager) - ComfyUI Manager
-
-[tinyterraNodes](https://github.com/TinyTerra/ComfyUI_tinyterraNodes) - Pipe nodes (node bundles) allow users to reduce unnecessary connections
-
-[ComfyUI-extensions](https://github.com/diffus3/ComfyUI-extensions) - Diffus3 gets and sets points that allow the user to detach the composition of the workflow
-
-[ComfyUI-Impact-Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack) - General modpack 1
-
-[ComfyUI-Inspire-Pack](https://github.com/ltdrdata/ComfyUI-Inspire-Pack) - General Modpack 2
-
-[ComfyUI-ResAdapter](https://github.com/jiaxiangc/ComfyUI-ResAdapter) - Make model generation independent of training resolution
-
-[ComfyUI_IPAdapter_plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) - Style migration
-
-[ComfyUI_InstantID](https://github.com/cubiq/ComfyUI_InstantID) - Face migration
-
-[ComfyUI_PuLID](https://github.com/cubiq/PuLID_ComfyUI) - Face migration
-
-[ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts) - pyssss🐍
-
-[cg-image-picker](https://github.com/chrisgoringe/cg-image-picker) - Image Preview Chooser
-
-[ComfyUI_ExtraModels](https://github.com/city96/ComfyUI_ExtraModels) - DiT custom nodes
-
-## ☕️ Donation
-
-**Comfyui-Easy-Use** is an GPL-licensed open source project. In order to achieve better and sustainable development of the project, i expect to gain more backers.
+v1.1.2
+
+
+v1.1.1
+
+
+v1.1.0
+
+
+v1.0.9
+
+
+v1.0.8
+
+
+v1.0.7
+
+
+v1.0.6
+
+
+v1.0.5
+
+
+v1.0.4
+
+
+v1.0.3
+
+
+v1.0.2
+
+
+v1.0.1
+
+
+v1.0.0
+
+
+Updated at 12/14/2023
+
+
+Updated at 12/13/2023
+
+
+Updated at 12/11/2023
+
+## The relevant node package involved
+
+Disclaimer: Opened source was not easy. I have a lot of respect for the contributions of these original authors. I just did some integration and optimization.
+
+| Nodes Name(Search Name) | Related libraries | Library-related node |
+|:-------------------------------|:----------------------------------------------------------------------------|:-------------------------|
+| easy setNode | [ComfyUI-extensions](https://github.com/diffus3/ComfyUI-extensions) | diffus3.SetNode |
+| easy getNode | [ComfyUI-extensions](https://github.com/diffus3/ComfyUI-extensions) | diffus3.GetNode |
+| easy bookmark | [rgthree-comfy](https://github.com/rgthree/rgthree-comfy) | Bookmark 🔖 |
+| easy portraitMarker | [comfyui-portrait-master](https://github.com/florestefano1975/comfyui-portrait-master) | Portrait Master |
+| easy LLLiteLoader | [ControlNet-LLLite-ComfyUI](https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI) | LLLiteLoader |
+| easy globalSeed | [ComfyUI-Inspire-Pack](https://github.com/ltdrdata/ComfyUI-Inspire-Pack) | Global Seed (Inspire) |
+| easy preSamplingDynamicCFG | [sd-dynamic-thresholding](https://github.com/mcmonkeyprojects/sd-dynamic-thresholding) | DynamicThresholdingFull |
+| dynamicThresholdingFull | [sd-dynamic-thresholding](https://github.com/mcmonkeyprojects/sd-dynamic-thresholding) | DynamicThresholdingFull |
+| easy imageInsetCrop | [rgthree-comfy](https://github.com/rgthree/rgthree-comfy) | ImageInsetCrop |
+| easy poseEditor | [ComfyUI_Custom_Nodes_AlekPet](https://github.com/AlekPet/ComfyUI_Custom_Nodes_AlekPet) | poseNode |
+| easy preSamplingLayerDiffusion | [ComfyUI-layerdiffusion](https://github.com/huchenlei/ComfyUI-layerdiffusion) | LayeredDiffusionApply... |
+| easy dynamiCrafterLoader | [ComfyUI-layerdiffusion](https://github.com/ExponentialML/ComfyUI_Native_DynamiCrafter) | Apply Dynamicrafter |
+| easy imageChooser | [cg-image-picker](https://github.com/chrisgoringe/cg-image-picker) | Preview Chooser |
+| easy styleAlignedBatchAlign | [style_aligned_comfy](https://github.com/chrisgoringe/cg-image-picker) | styleAlignedBatchAlign |
+| easy kolorsLoader | [ComfyUI-Kolors-MZ](https://github.com/MinusZoneAI/ComfyUI-Kolors-MZ) | kolorsLoader |
+
+
+## Credits
+
+[ComfyUI](https://github.com/comfyanonymous/ComfyUI) - Powerful and modular Stable Diffusion GUI
+
+[ComfyUI-ComfyUI-Manager](https://github.com/ltdrdata/ComfyUI-Manager) - ComfyUI Manager
+
+[tinyterraNodes](https://github.com/TinyTerra/ComfyUI_tinyterraNodes) - Pipe nodes (node bundles) allow users to reduce unnecessary connections
+
+[ComfyUI-extensions](https://github.com/diffus3/ComfyUI-extensions) - Diffus3 gets and sets points that allow the user to detach the composition of the workflow
+
+[ComfyUI-Impact-Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack) - General modpack 1
+
+[ComfyUI-Inspire-Pack](https://github.com/ltdrdata/ComfyUI-Inspire-Pack) - General Modpack 2
+
+[ComfyUI-ResAdapter](https://github.com/jiaxiangc/ComfyUI-ResAdapter) - Make model generation independent of training resolution
+
+[ComfyUI_IPAdapter_plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) - Style migration
+
+[ComfyUI_InstantID](https://github.com/cubiq/ComfyUI_InstantID) - Face migration
+
+[ComfyUI_PuLID](https://github.com/cubiq/PuLID_ComfyUI) - Face migration
+
+[ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts) - pyssss🐍
+
+[cg-image-picker](https://github.com/chrisgoringe/cg-image-picker) - Image Preview Chooser
+
+[ComfyUI_ExtraModels](https://github.com/city96/ComfyUI_ExtraModels) - DiT custom nodes
+
+## ☕️ Donation
+
+**Comfyui-Easy-Use** is an GPL-licensed open source project. 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diff --git a/web_version/v2/assets/extensions-CrUNTPqr.js b/web_version/v2/assets/extensions-CrUNTPqr.js
deleted file mode 100644
index a7fb826..0000000
--- a/web_version/v2/assets/extensions-CrUNTPqr.js
+++ /dev/null
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t=LGraphCanvas.prototype.draw;LGraphCanvas.prototype.draw=function(){Bt.update()&&e.graph._nodes.forEach((e=>{e.update&&e.update()})),t.apply(this,arguments)},b.addEventListener("easyuse-image-choose",(function(e){const{node:t,image:s,isKSampler:o}=Zt(e);if(o){(new Jt).show(s,t)}}));const s=b.interrupt;b.interrupt=function(){Wt.cancelling||Vt(),s.apply(this,arguments)},b.addEventListener("execution_start",(function(){(Yt>0?(Yt-=1,0):(jt(-1,"__start__"),1))&&e.graph._nodes.forEach((e=>{(e.selected_images||e.anti_selected)&&(e.selected_images.clear(),e.anti_selected.clear(),e.update())}))}))},async nodeCreated(e,t){if("easy imageChooser"==e.comfyClass){e.setProperty("values",[]),void 0===(null==e?void 0:e.imageIndex)&&Object.defineProperty(e,"imageIndex",{get:function(){return null},set:function(t){e.overIndex=t}}),void 0===(null==e?void 0:e.imagey)&&Object.defineProperty(e,"imagey",{get:function(){return null},set:function(t){return e.widgets[e.widgets.length-1].last_y+LiteGraph.NODE_WIDGET_HEIGHT}});const t=e.onMouseDown;e.onMouseDown=function(s,o,n){if(s.isPrimary){const t=function(e,t){var s,o;if((null==(s=e.imgs)?void 0:s.length)>1)for(var n=0;n0&&s0&&oe.imagey)return 0;return-1}(e,o);t>=0&&this.imageClicked(t)}return t&&t.apply(this,arguments)},e.send_button_widget=e.addWidget("button","","",$t),e.cancel_button_widget=e.addWidget("button","","",qt),Qt(e.cancel_button_widget),Qt(e.send_button_widget),es(e.cancel_button_widget),es(e.send_button_widget)}},beforeRegisterNodeDef(e,t,s){if("easy imageChooser"==(null==t?void 0:t.name)){const t=e.prototype.onDrawBackground;e.prototype.onDrawBackground=function(e){t.apply(this,arguments),function(e,t){var s;if(e.imgs){if(e.imageRects)for(let s=0;s{Kt(e,s,t)})),t.strokeStyle="#F88",null==(s=null==e?void 0:e.anti_selected)||s.forEach((s=>{Kt(e,s,t)}))}}(this,e)},e.prototype.imageClicked=function(t){"easy imageChooser"===(null==e?void 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t?t:t.toString();try{n=a.toString().split(".")[1].length}catch(r){}try{i=l.toString().split(".")[1].length}catch(r){}return s=Number(a.toString().replace(".","")),o=Number(l.toString().replace(".","")),s/o*Math.pow(10,i-n)}(this,e)};let ts=[],ss=0;const os={sd3:6.5,"sd3-turbo":4};class ns extends L{constructor(){super(),this.lists=[],this.dialog_div=null,this.user_div=null}addItem(e,t){return w("div.easyuse-account-dialog-item",[w("input",{type:"text",placeholder:"Enter name",oninput:e=>{const t=Array.prototype.indexOf.call(this.dialog_div.querySelectorAll(".easyuse-account-dialog-item"),e.target.parentNode);ts[t].name=e.target.value},value:ts[e].name}),w("input.key",{type:"text",oninput:e=>{const t=Array.prototype.indexOf.call(this.dialog_div.querySelectorAll(".easyuse-account-dialog-item"),e.target.parentNode);ts[t].key=e.target.value},placeholder:"Enter APIKEY",value:ts[e].key}),w("button.choose",{textContent:Y("Choose"),onclick:async e=>{var s,o,n;const i=Array.prototype.indexOf.call(this.dialog_div.querySelectorAll(".easyuse-account-dialog-item"),e.target.parentNode);let a=ts[i].name,l=ts[i].key;if(!a)return void Ue.error(Y("Please enter the account name"));if(!l)return void Ue.error(Y("Please enter the APIKEY"));let r=!0;for(let t=0;t{(new ns).show(t)}},[w("div.user",[w("div.avatar",i?[w("img",{src:i})]:"😀"),w("div.info",[w("h5.name",a),w("h6.remark","Credits: "+l)])]),w("div.edit",{textContent:Y("Edit")})])),Ue.success(Y("Save Succeed"))}else Ue.success(Y("Save Succeed"));this.close()}else Ue.error(Y("Save Failed"))}}),w("button.delete",{textContent:Y("Delete"),onclick:e=>{const t=Array.prototype.indexOf.call(this.dialog_div.querySelectorAll(".easyuse-account-dialog-item"),e.target.parentNode);ts.length<=1?Ue.error(Y("At least one account is required")):(ts.splice(t,1),this.dialog_div.removeChild(e.target.parentNode))}})])}show(e){ts.forEach(((t,s)=>{this.lists.push(this.addItem(s,e))})),this.dialog_div=w("div.easyuse-account-dialog",this.lists),super.show(w("div.easyuse-account-dialog-main",[w("div",[w("a",{href:"https://platform.stability.ai/account/keys",target:"_blank",textContent:Y("Getting Your APIKEY")})]),this.dialog_div]))}createButtons(){const e=super.createButtons();return e.unshift(w("button",{type:"button",textContent:Y("Save Account Info"),onclick:e=>{let t=!0;for(let s=0;s{200==e.status?Ue.success(Y("Save Succeed")):Ue.error(Y("Save Failed"))}))}else Ue.error(Y("APIKEY is not Empty"))}})),e.unshift(w("button",{type:"button",textContent:Y("Add Account"),onclick:e=>{const t="Account "+ts.length.toString();ts.push({name:t,key:""});const s=this.addItem(ts.length-1);this.lists.push(s),this.dialog_div.appendChild(s)}})),e}}v.registerExtension({name:"Comfy.EasyUse.API.SD3",async beforeRegisterNodeDef(e,t,s){if("easy stableDiffusion3API"==t.name){const t=e.prototype.onNodeCreated;e.prototype.onNodeCreated=async function(){var e,s,o;t&&(null==t||t.apply(this,arguments));const n=this.widgets.find((e=>["seed_num","seed"].includes(e.name))),i=this.widgets.find((e=>["control_before_generate","control_after_generate"].includes(e.name)));let a=this.widgets.find((e=>"model"==e.name));a.callback=e=>{l.value="-"+os[e]};const l=this.addWidget("text","cost_credit","0",(e=>{}),{serialize:!1});l.disabled=!0,setTimeout((e=>{"control_before_generate"==i.name&&0===n.value&&(n.value=Math.floor(4294967294*Math.random())),l.value="-"+os[a.value]}),100);let r=w("div.easyuse-account-user",[Y("Loading UserInfo...")]);this.addDOMWidget("account","btn",w("div.easyuse-account",r)),b.addEventListener("stable-diffusion-api-generate-succeed",(async({detail:e})=>{var t;let s=r.querySelectorAll(".remark");if(s&&s[0]){const t=(null==e?void 0:e.model)?os[e.model]:0;if(t){let e=function(e,t){let s,o,n,i,a,l;a="string"==typeof e?e:e.toString(),l="string"==typeof t?t:t.toString();try{s=a.split(".")[1].length}catch(r){s=0}try{o=l.split(".")[1].length}catch(r){o=0}return n=Math.pow(10,Math.max(s,o)),i=s>=o?s:o,((e*n-t*n)/n).toFixed(i)}(parseFloat(s[0].innerText.replace(/Credits: /g,"")),t);e>0&&(s[0].innerText="Credits: "+e.toString())}}await X(1e4);const o=await b.fetchApi("/easyuse/stability/balance");if(200==o.status){const e=await o.json();if(null==e?void 0:e.balance){const o=(null==(t=e.balance)?void 0:t.credits)||0;s&&s[0]&&(s[0].innerText="Credits: "+o)}}}));const d=await b.fetchApi("/easyuse/stability/api_keys");if(200==d.status){let t=await d.json();if(ts=t.keys,ss=t.current,ts.length>0&&void 0!==ss){const t=ts[ss].key,n=ts[ss].name;if(t){const t=await b.fetchApi("/easyuse/stability/user_info");if(200==t.status){const n=await t.json();if((null==n?void 0:n.account)&&(null==n?void 0:n.balance)){const t=(null==(e=n.account)?void 0:e.profile_picture)||null,i=(null==(s=n.account)?void 0:s.email)||null,a=(null==(o=n.balance)?void 0:o.credits)||0;r.replaceChildren(w("div.easyuse-account-user-info",{onclick:e=>{(new ns).show(r)}},[w("div.user",[w("div.avatar",t?[w("img",{src:t})]:"😀"),w("div.info",[w("h5.name",i),w("h6.remark","Credits: "+a)])]),w("div.edit",{textContent:Y("Edit")})]))}}}else r.replaceChildren(w("div.easyuse-account-user-info",{onclick:e=>{(new ns).show(r)}},[w("div.user",[w("div.avatar","😀"),w("div.info",[w("h5.name",n),w("h6.remark",Y("Click to set the APIKEY first"))])]),w("div.edit",{textContent:Y("Edit")})]))}}}}}});let is=null;function as(){is&&(is.removeEventListeners(),is.dropdown.remove(),is=null)}function ls(e,t,s,o=!1){as(),new rs(e,t,s,o)}class rs{constructor(e,t,s,o=!1){this.dropdown=document.createElement("ul"),this.dropdown.setAttribute("role","listbox"),this.dropdown.classList.add("easy-dropdown"),this.selectedIndex=-1,this.inputEl=e,this.suggestions=t,this.onSelect=s,this.isDict=o,this.focusedDropdown=this.dropdown,this.buildDropdown(),this.onKeyDownBound=this.onKeyDown.bind(this),this.onWheelBound=this.onWheel.bind(this),this.onClickBound=this.onClick.bind(this),this.addEventListeners()}buildDropdown(){this.isDict?this.buildNestedDropdown(this.suggestions,this.dropdown):this.suggestions.forEach(((e,t)=>{this.addListItem(e,t,this.dropdown)}));const e=this.inputEl.getBoundingClientRect();this.dropdown.style.top=e.top+e.height-10+"px",this.dropdown.style.left=e.left+"px",document.body.appendChild(this.dropdown),is=this}buildNestedDropdown(e,t){let s=0;Object.keys(e).forEach((o=>{const n=e[o];if("object"==typeof n&&null!==n){const e=document.createElement("ul");e.setAttribute("role","listbox"),e.classList.add("easy-nested-dropdown");const i=document.createElement("li");i.classList.add("folder"),i.textContent=o,i.appendChild(e),i.addEventListener("mouseover",this.onMouseOver.bind(this,s,t)),t.appendChild(i),this.buildNestedDropdown(n,e),s+=1}else{const e=document.createElement("li");e.classList.add("item"),e.setAttribute("role","option"),e.textContent=o,e.addEventListener("mouseover",this.onMouseOver.bind(this,s,t)),e.addEventListener("mousedown",this.onMouseDown.bind(this,o)),t.appendChild(e),s+=1}}))}addListItem(e,t,s){const o=document.createElement("li");o.setAttribute("role","option"),o.textContent=e,o.addEventListener("mouseover",this.onMouseOver.bind(this,t)),o.addEventListener("mousedown",this.onMouseDown.bind(this,e)),s.appendChild(o)}addEventListeners(){document.addEventListener("keydown",this.onKeyDownBound),this.dropdown.addEventListener("wheel",this.onWheelBound),document.addEventListener("click",this.onClickBound)}removeEventListeners(){document.removeEventListener("keydown",this.onKeyDownBound),this.dropdown.removeEventListener("wheel",this.onWheelBound),document.removeEventListener("click",this.onClickBound)}onMouseOver(e,t){t&&(this.focusedDropdown=t),this.selectedIndex=e,this.updateSelection()}onMouseOut(){this.selectedIndex=-1,this.updateSelection()}onMouseDown(e,t){t.preventDefault(),this.onSelect(e),this.dropdown.remove(),this.removeEventListeners()}onKeyDown(e){const t=Array.from(this.focusedDropdown.children),s=t[this.selectedIndex];if(is)if(38===e.keyCode)e.preventDefault(),this.selectedIndex=Math.max(0,this.selectedIndex-1),this.updateSelection();else if(40===e.keyCode)e.preventDefault(),this.selectedIndex=Math.min(t.length-1,this.selectedIndex+1),this.updateSelection();else if(39===e.keyCode){if(e.preventDefault(),s&&s.classList.contains("folder")){const e=s.querySelector(".easy-nested-dropdown");e&&(this.focusedDropdown=e,this.selectedIndex=0,this.updateSelection())}}else if(37===e.keyCode&&this.focusedDropdown!==this.dropdown){const e=this.focusedDropdown.closest(".easy-dropdown, .easy-nested-dropdown").parentNode.closest(".easy-dropdown, .easy-nested-dropdown");e&&(this.focusedDropdown=e,this.selectedIndex=Array.from(e.children).indexOf(this.focusedDropdown.parentNode),this.updateSelection())}else if((13===e.keyCode||9===e.keyCode)&&this.selectedIndex>=0){e.preventDefault(),s.classList.contains("item")&&(this.onSelect(t[this.selectedIndex].textContent),this.dropdown.remove(),this.removeEventListeners());const o=s.querySelector(".easy-nested-dropdown");o&&(this.focusedDropdown=o,this.selectedIndex=0,this.updateSelection())}else 27===e.keyCode&&(this.dropdown.remove(),this.removeEventListeners())}onWheel(e){const t=parseInt(this.dropdown.style.top);localStorage.getItem("Comfy.Settings.Comfy.InvertMenuScrolling")?this.dropdown.style.top=t+(e.deltaY<0?10:-10)+"px":this.dropdown.style.top=t+(e.deltaY<0?-10:10)+"px"}onClick(e){this.dropdown.contains(e.target)||e.target===this.inputEl||(this.dropdown.remove(),this.removeEventListeners())}updateSelection(){Array.from(this.focusedDropdown.children).forEach(((e,t)=>{t===this.selectedIndex?e.classList.add("selected"):e.classList.remove("selected")}))}}function ds(e){const t=e.min||0,s=e.max||0,o=e.step||1;if(0===o)return[];const n=[];let i=t;for(;i<=s;){if(Number.isInteger(o))n.push(Math.round(i)+"; ");else{let e=i.toFixed(3);-0==e&&(e="0.000"),/\.\d{3}$/.test(e)||(e+="0"),n.push(e+"; ")}i+=o}return s>=0&&t>=0?n:n.reverse()}let us={},cs={};function ps(e,t){String(e.id);const s=t.name,o=t.value.replace(/^(loader|preSampling):\s/,"");cs[s]?cs[s]!=us[o]&&(cs[s]=us[o]):cs={...cs,[s]:us[o]}}v.registerExtension({name:"Comfy.EasyUse.XYPlot",async beforeRegisterNodeDef(e,t,s){if("easy XYPlot"===t.name){us=t.input.hidden.plot_dict[0];for(const e in us){const t=us[e];if(Array.isArray(t)){let s=[];for(const e of t)s.push(e+"; ");us[e]=s}else us[e]="object"==typeof t?"seed"==e?t+"; ":ds(t):t+"; "}us.None=[],us["---------------------"]=[]}},nodeCreated(e){"easy XYPlot"===e.comfyClass&&(function(e){if(e.widgets)for(const t of e.widgets)if("x_axis"===t.name||"y_axis"===t.name){let s=t.value;Object.defineProperty(t,"value",{get:()=>s,set(o){o!==s&&(s=o,ps(e,t))}})}}(e),function(e){if(e.widgets){const t=e.widgets.filter((e=>"customtext"===e.type&&!1!==e.dynamicPrompts||e.dynamicPrompts));for(const e of t){let t=function(e,t,o,n){return e&&(t[o]=e),t.map((e=>s(e,n))).filter((e=>""!==e)).join("")},s=function(e,t){if(e=o(e),n(e,t))return e+"; ";let s=i(e,t);return 1===s.length||2===s.length?s[0]:n(a(e),t)?a(e)+"; ":""},o=function(e){return e.replace(/(\n|;| )/g,"")},n=function(e,t){return t.includes(e+"; ")},i=function(e,t){return t.filter((t=>t.toLowerCase().includes(e.toLowerCase())))},a=function(e){return Number(e)?Number(e).toFixed(3):["0","0.","0.0","0.00","00"].includes(e)?"0.000":e};const l=function(){const s=e.name[0]+"_axis";let o=(null==cs?void 0:cs[s])||[];if(0===o.length)return;const n=e.inputEl.value,i=e.inputEl.selectionStart;let a=n.split("; ");const l=n.substring(0,i).split("; ").length-1,r=a[l].replace(/\n/g,"").toLowerCase(),d=o.filter((e=>e.toLowerCase().includes(r))).map((e=>e.replace(/; /g,"")));if(d.length>0)ls(e.inputEl,d,(s=>{const n=t(s,a,l,o);e.inputEl.value=n}));else{as();const s=t(null,a,l,o);e.inputEl.value=s}};e.inputEl.removeEventListener("input",l),e.inputEl.addEventListener("input",l),e.inputEl.removeEventListener("mouseup",l),e.inputEl.addEventListener("mouseup",l)}}}(e))}});export{Y as $,G as N,b as a,v as b,fe as c,k as d,Qe as e,P as f,ge as g,x as h,Ee as j,V as l,X as s,Ue as t,$ as u};
diff --git a/web_version/v2/assets/extensions-DCFcU_BW.js b/web_version/v2/assets/extensions-DCFcU_BW.js
new file mode 100644
index 0000000..416f0d5
--- /dev/null
+++ b/web_version/v2/assets/extensions-DCFcU_BW.js
@@ -0,0 +1 @@
+var e,t,s,n,i,o,a,l,r,d,u,c,p,h,m=Object.defineProperty,g=(e,t,s)=>((e,t,s)=>t in e?m(e,t,{enumerable:!0,configurable:!0,writable:!0,value:s}):e[t]=s)(e,"symbol"!=typeof t?t+"":t,s);import{d as f,h as y}from"./vendor-DT1J-jWa.js";import{c as _}from"./lodash-CZi7izHi.js";let v=(null==(t=null==(e=window.comfyAPI)?void 0:e.app)?void 0:t.app)||null,b=(null==(n=null==(s=window.comfyAPI)?void 0:s.api)?void 0:n.api)||null,w=(null==(o=null==(i=window.comfyAPI)?void 0:i.ui)?void 0:o.$el)||null,L=(null==(l=null==(a=window.comfyAPI)?void 0:a.dialog)?void 0:l.ComfyDialog)||null,S=(null==(d=null==(r=window.comfyAPI)?void 0:r.widgets)?void 0:d.ComfyWidgets)||null,E=(null==(c=null==(u=window.comfyAPI)?void 0:u.utils)?void 0:c.applyTextReplacements)||null,C=(null==(h=null==(p=window.comfyAPI)?void 0:p.groupNode)?void 0:h.GroupNodeConfig)||null;const k=(e,t=void 0)=>{var s,n;return e?null==(n=null==(s=null==v?void 0:v.ui)?void 0:s.settings)?void 0:n.getSettingValue(e,t):null};function A(e,t=null,s=void 0){try{let n=e?k(e,s):null;return null==n&&(n=t?localStorage[t]:localStorage[e]||null),n}catch(n){return null}}function x(e,t=e=>{}){var s;const n=null==(s=v.ui.settings.settingsLookup)?void 0:s[e];n&&(n.onChange=e=>t(e))}async function I(e,t,s=null){var n,i;try{(null==(i=null==(n=null==v?void 0:v.ui)?void 0:n.settings)?void 0:i.setSettingValue)?v.ui.settings.setSettingValue(e,t):await b.storeSetting(e,t),s&&(localStorage[s]="object"==typeof t?JSON.stringify(t):t)}catch(o){}}const N="comfyui-easyuse-",T="dark-theme",O="#236692",D={PIPE_LINE:"#7737AA",PIPE_LINE_SDXL:"#7737AA",INT:"#29699C",X_Y:"#38291f",XYPLOT:"#74DA5D",LORA_STACK:"#94dccd",CONTROL_NET_STACK:"#94dccd",FLOW_CONTROL:"#373780"},R=0x4000000000000,G=["loaders","latent","image","mask","sampling","_for_testing","advanced","utils","api"],M={ALWAYS:0,NEVER:2,BYPASS:4},P="easyuse_nodes_map",F=LGraphCanvas.node_colors.bgcolor,U={ColorPalette:{version:105,id:"obsidian",name:"Obsidian",colors:{node_slot:{CLIP:"#FFD500",CLIP_VISION:"#A8DADC",CLIP_VISION_OUTPUT:"#ad7452",CONDITIONING:"#FFA931",CONTROL_NET:"#6EE7B7",IMAGE:"#64B5F6",LATENT:"#FF9CF9",MASK:"#81C784",MODEL:"#B39DDB",STYLE_MODEL:"#C2FFAE",VAE:"#FF6E6E",TAESD:"#DCC274",PIPE_LINE:"#7737AA",PIPE_LINE_SDXL:"#7737AA",INT:"#29699C",X_Y:"#38291f",XYPLOT:"#74DA5D",LORA_STACK:"#94dccd",CONTROL_NET_STACK:"#94dccd"},litegraph_base:{BACKGROUND_IMAGE:"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGQAAABkCAIAAAD/gAIDAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAQBJREFUeNrs1rEKwjAUhlETUkj3vP9rdmr1Ysammk2w5wdxuLgcMHyptfawuZX4pJSWZTnfnu/lnIe/jNNxHHGNn//HNbbv+4dr6V+11uF527arU7+u63qfa/bnmh8sWLBgwYJlqRf8MEptXPBXJXa37BSl3ixYsGDBMliwFLyCV/DeLIMFCxYsWLBMwSt4Be/NggXLYMGCBUvBK3iNruC9WbBgwYJlsGApeAWv4L1ZBgsWLFiwYJmCV/AK3psFC5bBggULloJX8BpdwXuzYMGCBctgwVLwCl7Be7MMFixYsGDBsu8FH1FaSmExVfAxBa/gvVmwYMGCZbBg/W4vAQYA5tRF9QYlv/QAAAAASUVORK5CYII=",CLEAR_BACKGROUND_COLOR:"#222222",NODE_TITLE_COLOR:"#d4d4d8",NODE_SELECTED_TITLE_COLOR:"#ffffff",NODE_TEXT_SIZE:14,NODE_TEXT_COLOR:"#ffffff",NODE_SUBTEXT_SIZE:12,NODE_DEFAULT_COLOR:"#09090b",NODE_DEFAULT_BGCOLOR:"rgba(24,24,27,.9)",NODE_DEFAULT_BOXCOLOR:"rgba(255,255,255,.75)",NODE_DEFAULT_SHAPE:"box",NODE_BOX_OUTLINE_COLOR:O,DEFAULT_SHADOW_COLOR:"rgba(0,0,0,0)",DEFAULT_GROUP_FONT:24,WIDGET_BGCOLOR:"#242427",WIDGET_OUTLINE_COLOR:"#3f3f46",WIDGET_TEXT_COLOR:"#d4d4d8",WIDGET_SECONDARY_TEXT_COLOR:"#d4d4d8",LINK_COLOR:"#9A9",EVENT_LINK_COLOR:"#A86",CONNECTING_LINK_COLOR:"#AFA"},comfy_base:{"fg-color":"#fff","bg-color":"#09090b","comfy-menu-bg":"rgba(24,24,24,.9)","comfy-input-bg":"#262626","input-text":"#ddd","descrip-text":"#999","drag-text":"#ccc","error-text":"#ff4444","border-color":"#29292c","tr-even-bg-color":"rgba(28,28,28,.9)","tr-odd-bg-color":"rgba(19,19,19,.9)"}}},NODE_COLORS:{red:{color:"#af3535",bgcolor:F,groupcolor:"#A88"},brown:{color:"#38291f",bgcolor:F,groupcolor:"#b06634"},green:{color:"#346434",bgcolor:F,groupcolor:"#8A8"},blue:{color:"#1f1f48",bgcolor:F,groupcolor:"#88A"},pale_blue:{color:"#006691",bgcolor:F,groupcolor:"#3f789e"},cyan:{color:"#008181",bgcolor:F,groupcolor:"#8AA"},purple:{color:"#422342",bgcolor:F,groupcolor:"#a1309b"},yellow:{color:"#c09430",bgcolor:F,groupcolor:"#b58b2a"},black:{color:"rgba(0,0,0,.8)",bgcolor:F,groupcolor:"#444"}}};let B=JSON.parse(JSON.stringify(U));delete B.NODE_COLORS,B.ColorPalette.id="obsidian_dark",B.ColorPalette.name="Obsidian 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z=LGraphCanvas.node_colors.bgcolor,W={ColorPalette:{id:"milk_white",name:"Milk White",colors:{node_slot:{CLIP:"#FFA726",CLIP_VISION:"#5C6BC0",CLIP_VISION_OUTPUT:"#8D6E63",CONDITIONING:"#EF5350",CONTROL_NET:"#66BB6A",IMAGE:"#42A5F5",LATENT:"#AB47BC",MASK:"#9CCC65",MODEL:"#7E57C2",STYLE_MODEL:"#D4E157",VAE:"#FF7043",PIPE_LINE:"#7737AA",PIPE_LINE_SDXL:"#7737AA",INT:"#29699C",X_Y:"#38291f",XYPLOT:"#74DA5D",LORA_STACK:"#94dccd",CONTROL_NET_STACK:"#94dccd"},litegraph_base:{BACKGROUND_IMAGE:"data:image/gif;base64,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",CLEAR_BACKGROUND_COLOR:"lightgray",NODE_TITLE_COLOR:"#222",NODE_SELECTED_TITLE_COLOR:"#000",NODE_TEXT_SIZE:14,NODE_TEXT_COLOR:"#444",NODE_SUBTEXT_SIZE:12,NODE_DEFAULT_COLOR:"#F7F7F7",NODE_DEFAULT_BGCOLOR:"#F5F5F5",NODE_DEFAULT_BOXCOLOR:"#555",NODE_DEFAULT_SHAPE:"box",NODE_BOX_OUTLINE_COLOR:"#000",DEFAULT_SHADOW_COLOR:"rgba(0,0,0,0.1)",DEFAULT_GROUP_FONT:24,WIDGET_BGCOLOR:"#D4D4D4",WIDGET_OUTLINE_COLOR:"#999",WIDGET_TEXT_COLOR:"#222",WIDGET_SECONDARY_TEXT_COLOR:"#555",LINK_COLOR:"#9A9",EVENT_LINK_COLOR:"#FF9800",CONNECTING_LINK_COLOR:"#222"},comfy_base:{"fg-color":"#222","bg-color":"#DDD","comfy-menu-bg":"#F5F5F5","comfy-input-bg":"#C9C9C9","input-text":"#222","descrip-text":"#444","drag-text":"#555","error-text":"#F44336","border-color":"#bbb","tr-even-bg-color":"#f9f9f9","tr-odd-bg-color":"#fff","content-bg":"#e0e0e0","content-fg":"#222","content-hover-bg":"#adadad","content-hover-fg":"#222"}}},NODE_COLORS:{red:{color:"#af3535",bgcolor:z,groupcolor:"#A88"},brown:{color:"#38291f",bgcolor:z,groupcolor:"#b06634"},green:{color:"#346434",bgcolor:z,groupcolor:"#8A8"},blue:{color:"#1f1f48",bgcolor:z,groupcolor:"#88A"},pale_blue:{color:"#006691",bgcolor:z,groupcolor:"#3f789e"},cyan:{color:"#008181",bgcolor:z,groupcolor:"#8AA"},purple:{color:"#422342",bgcolor:z,groupcolor:"#a1309b"},yellow:{color:"#c09430",bgcolor:z,groupcolor:"#b58b2a"},black:{color:"rgba(0,0,0,.8)",bgcolor:z,groupcolor:"#444"}}},j={"Workflow created by":"工作流创建者","Watch more video content":"观看更多视频内容","Workflow Guide":"工作流指南","💎 View Checkpoint Info...":"💎 查看 Checkpoint 信息...","💎 View Lora Info...":"💎 查看 Lora 信息...","🔃 Reload Node":"🔃 刷新节点","Updated At:":"最近更新：","Created At:":"首次发布：","✏️ Edit":"✏️ 编辑","💾 Save":"💾 保存","No notes":"当前还没有备注内容","Saving Notes...":"正在保存备注...","Type your notes here":"在这里输入备注内容",ModelName:"模型名称","Models Required":"所需模型","Download Model":"下载模型","Source Url":"模型源地址",Notes:"备注",Type:"类型","Trained Words":"训练词",BaseModel:"基础算法",Details:"详情",Description:"描述",Download:"下载量",Source:"来源","Saving Preview...":"正在保存预览图...","Saving Succeed":"保存成功","Clean SuccessFully":"清理成功","Clean Failed":"清理失败","Saving Failed":"保存失败","No COMBO link":"沒有找到COMBO连接","Reboot ComfyUI":"重启ComfyUI","Are you sure you'd like to reboot the server?":"是否要重启ComfyUI？","Nodes Map":"管理节点组","Nodes map sorting mode":"管理节点组排序模式","No Nodes":"未找到节点","No nodes found in the map":"在工作流程中没有找到节点","Expand All":"展开所有组","Collapse All":"折叠所有组",Close:"关闭","Default automatic sorting, if set to manual, groups can be dragged and dropped and the sorting results saved.":"默认自动排序，如果设置为手动，组可以拖放并保存排序结果。","For drag and drop sorting, please find Nodes map sorting mode in Settings->EasyUse and change it to manual":"如需拖拽排序请在设置->EasyUse节点中找到管理节点组排序模式并修改成 manual",Queue:"队列","Cleanup Of VRAM Usage":"清理显存占用","Please stop all running tasks before cleaning GPU":"请在清理GPU之前停止所有运行中的任务",Always:"启用中",Bypass:"已忽略",Never:"已停用","Auto Sorting":"自动排序","Toggle `Show/Hide` can set mode of group, LongPress can set group nodes to never":"点击`启用中/已忽略`可设置组模式, 长按可停用该组节点","Enable Shift+Up/Down/Left/Right key and Shift+Ctrl+Alt+Left/Right to align selected nodes":"启用 Shift+上/下/左/右 和 Shift+Ctrl+Alt+左/右 键对齐选中的节点","Enable Shift+Ctrl+Left/Right key to normalize selected nodes":"启用 Shift+Ctrl+左/右 键规范化选中的节点","Enable Shift+g to add selected nodes to a group":"启用 Shift+g 键将选中的节点添加一个组","Enable Shift+r to unload models and node cache":"启用 Shift+r 键卸载模型和节点缓存","Enable Shift+m to toggle nodes map":"启用 Shift+m 键显隐管理节点组","Enable Up/Down/Left/Right key to jump nearest nodes":"启用 上/下/左/右 键跳转到最近的前后节点","Enable Alt+1~9 to paste nodes from nodes template":"启用 Alt+1~9 从节点模板粘贴到工作流中","Enable contextMenu auto nest subdirectories":"启用上下文菜单自动嵌套子目录","Enable right-click menu to add node A~Z sorting":"启用右键菜单中新建节点A~Z排序","Enable model thumbnails display":"启动模型预览图显示","Enable nodes runtime display":"启动节点运行时间显示","Enable chain get node and set node with parent nodes":"启用将获取点和设置点与父节点链在一起","Maximum number of model thumbnails displayed":"显示的模型缩略图的最大数量","Too many thumbnails will affect the first loading time, set the maximum value to not load the thumbnail function when there are too many models's thumbnail":"太多的缩略图会影响首次加载时间，当模型缩略图太多时，设置最大值以不加载缩略图功能","Too many thumbnails, have closed the display":"模型缩略图太多啦，为您关闭了显示","Shift+Up/Down/Left/Right can align selected nodes, Shift+Ctrl+Alt+Left/Right can distribute horizontal/vertical nodes":"Shift+上/下/左/右 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v.graphToPrompt()),n=[];if(s.workflow.nodes.forEach((e=>{n.push(e.id)})),s.workflow.links=s.workflow.links.filter((e=>n.includes(e[1])&&n.includes(e[3]))),t)for(;!v.graph._nodes_by_id[e].isChooser;)e=Ft(s,e,!0,!1)[0];const i=function(e,t){const s=[],n=[t];for(;n.length>0;){const t=n.pop();s.push(t),n.push(...Ft(e,t,!0,!1).filter((e=>!(s.includes(e)||n.includes(e)))))}n.push(...s.filter((e=>e!=t)));const i=[t];for(;n.length>0;){const t=n.pop();i.push(t),n.push(...Ft(e,t,!1,!0).filter((e=>!(i.includes(e)||n.includes(e)))))}const o=[];return o.push(...s),o.push(...i.filter((e=>!o.includes(e)))),o}(s,e);s.workflow.nodes=s.workflow.nodes.filter((t=>(t.id===e&&t.inputs.forEach((e=>{e.link=null})),i.includes(t.id)))),s.workflow.links=s.workflow.links.filter((e=>i.includes(e[1])&&i.includes(e[3])));const o={};for(const[r,d]of Object.entries(s.output))i.includes(parseInt(r))&&(o[r]=d);const a={};for(const[r,d]of 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s=new FormData;s.append("message",t),s.append("id",e),b.fetchApi("/easyuse/image_chooser_message",{method:"POST",body:s})}function Vt(){jt(-1,"__cancel__"),Wt.cancelling=!0,b.interrupt(),Wt.cancelling=!1}var Yt=0;function Ht(){Yt+=1}const Xt=["easy kSampler","easy kSamplerTiled","easy fullkSampler"];function Zt(e){const t=v.graph._nodes_by_id[e.detail.id];if(t){t.selected_images=new Set,t.anti_selected=new Set;const s=function(e,t){var s;return e.imgs=[],t.forEach((t=>{const s=new Image;e.imgs.push(s),s.onload=()=>{v.graph.setDirtyCanvas(!0)},s.src=`/view?filename=${encodeURIComponent(t.filename)}&type=temp&subfolder=${v.getPreviewFormatParam()}`})),null==(s=e.setSizeForImage)||s.call(e),e.imgs}(t,e.detail.urls);return{node:t,image:s,isKSampler:Xt.includes(t.type)}}}function Kt(e,t,s){var n;if(e.imageRects)n=e.imageRects[t];else{const t=e.imagey;n=[1,t+1,e.size[0]-2,e.size[1]-t-2]}s.strokeRect(n[0]+1,n[1]+1,n[2]-2,n[3]-2)}class Jt extends L{constructor(){super(),this.node=null,this.select_index=[],this.dialog_div=null}show(e,t){this.select_index=[],this.node=t;const s=e.map(((e,s)=>{const n=w("img",{src:e.src,onclick:e=>{this.select_index.includes(s)?(this.select_index=this.select_index.filter((e=>e!==s)),n.classList.remove("selected")):(this.select_index.push(s),n.classList.add("selected")),t.selected_images.has(s)?t.selected_images.delete(s):t.selected_images.add(s)}});return n}));super.show(w("div.comfyui-easyuse-chooser-dialog",[w("h5.comfyui-easyuse-chooser-dialog-title",Y("Choose images to continue")),w("div.comfyui-easyuse-chooser-dialog-images",s)]))}createButtons(){const e=super.createButtons();return e[0].onclick=e=>{Wt.running()&&Vt(),super.close()},e.unshift(w("button",{type:"button",textContent:Y("Choose Selected 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t=LGraphCanvas.prototype.draw;LGraphCanvas.prototype.draw=function(){Bt.update()&&e.graph._nodes.forEach((e=>{e.update&&e.update()})),t.apply(this,arguments)},b.addEventListener("easyuse-image-choose",(function(e){const{node:t,image:s,isKSampler:n}=Zt(e);if(n){(new Jt).show(s,t)}}));const s=b.interrupt;b.interrupt=function(){Wt.cancelling||Vt(),s.apply(this,arguments)},b.addEventListener("execution_start",(function(){(Yt>0?(Yt-=1,0):(jt(-1,"__start__"),1))&&e.graph._nodes.forEach((e=>{(e.selected_images||e.anti_selected)&&(e.selected_images.clear(),e.anti_selected.clear(),e.update())}))}))},async nodeCreated(e,t){if("easy imageChooser"==e.comfyClass){e.setProperty("values",[]),void 0===(null==e?void 0:e.imageIndex)&&Object.defineProperty(e,"imageIndex",{get:function(){return null},set:function(t){e.overIndex=t}}),void 0===(null==e?void 0:e.imagey)&&Object.defineProperty(e,"imagey",{get:function(){return null},set:function(t){return e.widgets[e.widgets.length-1].last_y+LiteGraph.NODE_WIDGET_HEIGHT}});const t=e.onMouseDown;e.onMouseDown=function(s,n,i){if(s.isPrimary){const t=function(e,t){var s,n;if((null==(s=e.imgs)?void 0:s.length)>1)for(var i=0;i0&&s0&&ne.imagey)return 0;return-1}(e,n);t>=0&&this.imageClicked(t)}return t&&t.apply(this,arguments)},e.send_button_widget=e.addWidget("button","","",$t),e.cancel_button_widget=e.addWidget("button","","",qt),Qt(e.cancel_button_widget),Qt(e.send_button_widget),es(e.cancel_button_widget),es(e.send_button_widget)}},beforeRegisterNodeDef(e,t,s){if("easy imageChooser"==(null==t?void 0:t.name)){const t=e.prototype.onDrawBackground;e.prototype.onDrawBackground=function(e){t.apply(this,arguments),function(e,t){var s;if(e.imgs){if(e.imageRects)for(let s=0;s{Kt(e,s,t)})),t.strokeStyle="#F88",null==(s=null==e?void 0:e.anti_selected)||s.forEach((s=>{Kt(e,s,t)}))}}(this,e)},e.prototype.imageClicked=function(t){"easy imageChooser"===(null==e?void 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beforeRegisterNodeDef(e,t,s){if("easy stableDiffusion3API"==t.name){const t=e.prototype.onNodeCreated;e.prototype.onNodeCreated=async function(){var e,s,n;t&&(null==t||t.apply(this,arguments));const i=this.widgets.find((e=>["seed_num","seed"].includes(e.name))),o=this.widgets.find((e=>["control_before_generate","control_after_generate"].includes(e.name)));let a=this.widgets.find((e=>"model"==e.name));a.callback=e=>{l.value="-"+ns[e]};const l=this.addWidget("text","cost_credit","0",(e=>{}),{serialize:!1});l.disabled=!0,setTimeout((e=>{"control_before_generate"==o.name&&0===i.value&&(i.value=Math.floor(4294967294*Math.random())),l.value="-"+ns[a.value]}),100);let r=w("div.easyuse-account-user",[Y("Loading UserInfo...")]);this.addDOMWidget("account","btn",w("div.easyuse-account",r)),b.addEventListener("stable-diffusion-api-generate-succeed",(async({detail:e})=>{var t;let s=r.querySelectorAll(".remark");if(s&&s[0]){const t=(null==e?void 0:e.model)?ns[e.model]:0;if(t){let 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rs{constructor(e,t,s,n=!1){this.dropdown=document.createElement("ul"),this.dropdown.setAttribute("role","listbox"),this.dropdown.classList.add("easy-dropdown"),this.selectedIndex=-1,this.inputEl=e,this.suggestions=t,this.onSelect=s,this.isDict=n,this.focusedDropdown=this.dropdown,this.buildDropdown(),this.onKeyDownBound=this.onKeyDown.bind(this),this.onWheelBound=this.onWheel.bind(this),this.onClickBound=this.onClick.bind(this),this.addEventListeners()}buildDropdown(){this.isDict?this.buildNestedDropdown(this.suggestions,this.dropdown):this.suggestions.forEach(((e,t)=>{this.addListItem(e,t,this.dropdown)}));const e=this.inputEl.getBoundingClientRect();this.dropdown.style.top=e.top+e.height-10+"px",this.dropdown.style.left=e.left+"px",document.body.appendChild(this.dropdown),os=this}buildNestedDropdown(e,t){let s=0;Object.keys(e).forEach((n=>{const i=e[n];if("object"==typeof i&&null!==i){const e=document.createElement("ul");e.setAttribute("role","listbox"),e.classList.add("easy-nested-dropdown");const o=document.createElement("li");o.classList.add("folder"),o.textContent=n,o.appendChild(e),o.addEventListener("mouseover",this.onMouseOver.bind(this,s,t)),t.appendChild(o),this.buildNestedDropdown(i,e),s+=1}else{const e=document.createElement("li");e.classList.add("item"),e.setAttribute("role","option"),e.textContent=n,e.addEventListener("mouseover",this.onMouseOver.bind(this,s,t)),e.addEventListener("mousedown",this.onMouseDown.bind(this,n)),t.appendChild(e),s+=1}}))}addListItem(e,t,s){const n=document.createElement("li");n.setAttribute("role","option"),n.textContent=e,n.addEventListener("mouseover",this.onMouseOver.bind(this,t)),n.addEventListener("mousedown",this.onMouseDown.bind(this,e)),s.appendChild(n)}addEventListeners(){document.addEventListener("keydown",this.onKeyDownBound),this.dropdown.addEventListener("wheel",this.onWheelBound),document.addEventListener("click",this.onClickBound)}removeEventListeners(){document.removeEventListener("keydown",this.onKeyDownBound),this.dropdown.removeEventListener("wheel",this.onWheelBound),document.removeEventListener("click",this.onClickBound)}onMouseOver(e,t){t&&(this.focusedDropdown=t),this.selectedIndex=e,this.updateSelection()}onMouseOut(){this.selectedIndex=-1,this.updateSelection()}onMouseDown(e,t){t.preventDefault(),this.onSelect(e),this.dropdown.remove(),this.removeEventListeners()}onKeyDown(e){const t=Array.from(this.focusedDropdown.children),s=t[this.selectedIndex];if(os)if(38===e.keyCode)e.preventDefault(),this.selectedIndex=Math.max(0,this.selectedIndex-1),this.updateSelection();else if(40===e.keyCode)e.preventDefault(),this.selectedIndex=Math.min(t.length-1,this.selectedIndex+1),this.updateSelection();else if(39===e.keyCode){if(e.preventDefault(),s&&s.classList.contains("folder")){const e=s.querySelector(".easy-nested-dropdown");e&&(this.focusedDropdown=e,this.selectedIndex=0,this.updateSelection())}}else if(37===e.keyCode&&this.focusedDropdown!==this.dropdown){const e=this.focusedDropdown.closest(".easy-dropdown, .easy-nested-dropdown").parentNode.closest(".easy-dropdown, .easy-nested-dropdown");e&&(this.focusedDropdown=e,this.selectedIndex=Array.from(e.children).indexOf(this.focusedDropdown.parentNode),this.updateSelection())}else if((13===e.keyCode||9===e.keyCode)&&this.selectedIndex>=0){e.preventDefault(),s.classList.contains("item")&&(this.onSelect(t[this.selectedIndex].textContent),this.dropdown.remove(),this.removeEventListeners());const n=s.querySelector(".easy-nested-dropdown");n&&(this.focusedDropdown=n,this.selectedIndex=0,this.updateSelection())}else 27===e.keyCode&&(this.dropdown.remove(),this.removeEventListeners())}onWheel(e){const t=parseInt(this.dropdown.style.top);localStorage.getItem("Comfy.Settings.Comfy.InvertMenuScrolling")?this.dropdown.style.top=t+(e.deltaY<0?10:-10)+"px":this.dropdown.style.top=t+(e.deltaY<0?-10:10)+"px"}onClick(e){this.dropdown.contains(e.target)||e.target===this.inputEl||(this.dropdown.remove(),this.removeEventListeners())}updateSelection(){Array.from(this.focusedDropdown.children).forEach(((e,t)=>{t===this.selectedIndex?e.classList.add("selected"):e.classList.remove("selected")}))}}function ds(e){const t=e.min||0,s=e.max||0,n=e.step||1;if(0===n)return[];const i=[];let o=t;for(;o<=s;){if(Number.isInteger(n))i.push(Math.round(o)+"; ");else{let e=o.toFixed(3);-0==e&&(e="0.000"),/\.\d{3}$/.test(e)||(e+="0"),i.push(e+"; ")}o+=n}return s>=0&&t>=0?i:i.reverse()}let us={},cs={};function ps(e,t){String(e.id);const s=t.name,n=t.value.replace(/^(loader|preSampling):\s/,"");cs[s]?cs[s]!=us[n]&&(cs[s]=us[n]):cs={...cs,[s]:us[n]}}v.registerExtension({name:"Comfy.EasyUse.XYPlot",async beforeRegisterNodeDef(e,t,s){if("easy XYPlot"===t.name){us=t.input.hidden.plot_dict[0];for(const e in us){const t=us[e];if(Array.isArray(t)){let s=[];for(const e of t)s.push(e+"; ");us[e]=s}else us[e]="object"==typeof t?"seed"==e?t+"; ":ds(t):t+"; "}us.None=[],us["---------------------"]=[]}},nodeCreated(e){"easy XYPlot"===e.comfyClass&&(function(e){if(e.widgets)for(const t of e.widgets)if("x_axis"===t.name||"y_axis"===t.name){let s=t.value;Object.defineProperty(t,"value",{get:()=>s,set(n){n!==s&&(s=n,ps(e,t))}})}}(e),function(e){if(e.widgets){const t=e.widgets.filter((e=>"customtext"===e.type&&!1!==e.dynamicPrompts||e.dynamicPrompts));for(const e of t){let t=function(e,t,n,i){return e&&(t[n]=e),t.map((e=>s(e,i))).filter((e=>""!==e)).join("")},s=function(e,t){if(e=n(e),i(e,t))return e+"; ";let s=o(e,t);return 1===s.length||2===s.length?s[0]:i(a(e),t)?a(e)+"; ":""},n=function(e){return e.replace(/(\n|;| )/g,"")},i=function(e,t){return t.includes(e+"; ")},o=function(e,t){return t.filter((t=>t.toLowerCase().includes(e.toLowerCase())))},a=function(e){return Number(e)?Number(e).toFixed(3):["0","0.","0.0","0.00","00"].includes(e)?"0.000":e};const l=function(){const s=e.name[0]+"_axis";let n=(null==cs?void 0:cs[s])||[];if(0===n.length)return;const i=e.inputEl.value,o=e.inputEl.selectionStart;let a=i.split("; ");const l=i.substring(0,o).split("; ").length-1,r=a[l].replace(/\n/g,"").toLowerCase(),d=n.filter((e=>e.toLowerCase().includes(r))).map((e=>e.replace(/; /g,"")));if(d.length>0)ls(e.inputEl,d,(s=>{const i=t(s,a,l,n);e.inputEl.value=i}));else{as();const s=t(null,a,l,n);e.inputEl.value=s}};e.inputEl.removeEventListener("input",l),e.inputEl.addEventListener("input",l),e.inputEl.removeEventListener("mouseup",l),e.inputEl.addEventListener("mouseup",l)}}}(e))}});export{Y as $,M as N,b as a,v as b,fe as c,A as d,Qe as e,P as f,ge as g,x as h,Se as j,V as l,X as s,Ue as t,$ as u};
diff --git a/web_version/v2/easyuse.js b/web_version/v2/easyuse.js
index 30d1a68..35beace 100644
--- a/web_version/v2/easyuse.js
+++ b/web_version/v2/easyuse.js
@@ -1,2 +1,2 @@
-!function(){"use strict";try{if("undefined"!=typeof document){var e=document.createElement("style");e.appendChild(document.createTextNode('@charset "UTF-8";.easyuse-model-info{color:#fff;max-width:90vw;font-family:var(--font-family)}.easyuse-model-content{display:flex;flex-direction:column;overflow:hidden}.easyuse-model-header{margin:0 0 15px}.easyuse-model-header-remark{display:flex;align-items:center;margin-top:5px}.easyuse-model-info h2{text-align:left;margin:0}.easyuse-model-info h5{text-align:left;margin:0 15px 0 0;font-weight:400;color:var(--descrip-text)}.easyuse-model-info p{margin:5px 0}.easyuse-model-info a{color:var(--theme-color-light)}.easyuse-model-info a:hover{text-decoration:underline}.easyuse-model-tags-list{display:flex;flex-wrap:wrap;list-style:none;gap:10px;max-height:200px;overflow:auto;margin:10px 0;padding:0}.easyuse-model-tag{background-color:var(--comfy-input-bg);border:2px solid 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ease-in-out}.easyuse-preview-list.no-transition{transition:none}.easyuse-preview-slide{display:flex;flex-basis:calc(50% - 5px);flex-grow:0;flex-shrink:0;position:relative;justify-content:center;align-items:center;padding-right:5px;padding-left:0}.easyuse-preview-slide:nth-child(2n){padding-left:5px;padding-right:0}.easyuse-preview-slide-content{position:relative;min-height:150px;width:100%}.easyuse-preview-slide-content .save{position:absolute;right:6px;z-index:12;bottom:6px;display:flex;align-items:center;height:26px;padding:0 9px;color:var(--input-text);font-size:12px;line-height:26px;background:#00000080;border-radius:13px;cursor:pointer;min-width:80px;text-align:center}.easyuse-preview-slide-content .save:hover{filter:brightness(120%);will-change:auto}.easyuse-preview-slide-content img{border-radius:14px;object-position:center center;max-width:100%;max-height:700px;border-style:none;vertical-align:middle}.easyuse-preview button{position:absolute;z-index:10;top:50%;display:flex;align-items:center;justify-content:center;width:30px;height:30px;border-radius:15px;border:1px solid rgba(66,63,78,.15);background-color:#423f4e80;color:#fffc;transition-property:color,background-color,border-color,text-decoration-color,fill,stroke;transition-timing-function:cubic-bezier(.4,0,.2,1);transition-duration:.15s;transform:translateY(-50%)}.easyuse-preview button.left{left:10px}.easyuse-preview button.right{right:10px}.easyuse-model-detail{margin-top:16px;overflow:hidden;border:1px solid var(--border-color);border-radius:8px;width:300px}.easyuse-model-detail-head{height:40px;padding:0 10px;font-weight:500;font-size:14px;font-style:normal;line-height:40px}.easyuse-model-detail-body{box-sizing:border-box;font-size:12px}.easyuse-model-detail-item{display:flex;justify-content:flex-start;border-top:1px solid var(--border-color)}.easyuse-model-detail-item-label{flex-shrink:0;width:88px;padding-top:5px;padding-bottom:5px;padding-left:10px;border-right:1px solid var(--border-color);color:var(--input-text);font-weight:400}.easyuse-model-detail-item-value{display:flex;flex-wrap:wrap;padding:5px 10px;color:var(--input-text)}.easyuse-model-detail-textarea{border-top:1px solid var(--border-color);padding:10px;height:100px;overflow-y:auto;font-size:12px}.easyuse-model-detail-textarea textarea{width:100%;height:100%;border:0;background-color:transparent;color:var(--input-text)}.easyuse-model-detail-textarea textarea::placeholder{color:var(--descrip-text)}.easyuse-model-detail-textarea.empty{display:flex;justify-content:center;align-items:center;color:var(--descrip-text)}.easyuse-model-notes{background-color:#00000040;padding:5px;margin-top:5px}.easyuse-model-notes:empty{display:none}.easyuse-account-user{font-size:10px;color:var(--descrip-text);text-align:center}.easyuse-account-user-info{display:flex;justify-content:space-between;align-items:center;padding-bottom:10px;cursor:pointer}.easyuse-account-user-info .user{display:flex;align-items:center}.easyuse-account-user-info .edit{padding:5px 10px;background:var(--comfy-menu-bg);border-radius:4px}.easyuse-account-user-info:hover{filter:brightness(110%)}.easyuse-account-user-info h5{margin:0;font-size:10px;text-align:left}.easyuse-account-user-info h6{margin:0;font-size:8px;text-align:left;font-weight:300}.easyuse-account-user-info .remark{margin-top:4px}.easyuse-account-user-info .avatar{width:36px;height:36px;background:var(--comfy-input-bg);border-radius:50%;margin-right:5px;display:flex;justify-content:center;align-items:center;font-size:16px;overflow:hidden}.easyuse-account-user-info .avatar img{width:100%;height:100%}.easyuse-account-dialog{width:600px}.easyuse-account-dialog-main a,.easyuse-account-dialog-main a:visited{font-weight:400;color:var(--theme-color-light)}.easyuse-account-dialog-item{display:flex;justify-content:flex-start;align-items:center;padding:10px 0;border-bottom:1px solid var(--border-color)}.easyuse-account-dialog-item input{padding:5px;margin-right:5px}.easyuse-account-dialog-item input.key{flex:1}.easyuse-account-dialog-item button{cursor:pointer;margin-left:5px!important;padding:5px!important;font-size:16px!important}.easyuse-account-dialog-item button:hover{filter:brightness(120%)}.easyuse-account-dialog-item button.choose{background:var(--theme-color)}.easyuse-account-dialog-item button.delete{background:var(--error-color)}.easy-dropdown,.easy-nested-dropdown{position:relative;box-sizing:border-box;background-color:#171717;box-shadow:0 4px 4px #ffffff40;padding:0;margin:0;list-style:none;z-index:1000;overflow:visible;max-height:fit-content;max-width:fit-content}.easy-dropdown{position:absolute;border-radius:0}.easy-dropdown li.item,.easy-nested-dropdown li.item{font-weight:400;min-width:max-content}.easy-dropdown li.folder,.easy-nested-dropdown li.folder{cursor:default;position:relative;border-right:3px solid cyan}.easy-dropdown li.folder:after,.easy-nested-dropdown li.folder:after{content:">";position:absolute;right:2px;font-weight:400}.easy-dropdown li,.easy-nested-dropdown li{padding:4px 10px;cursor:pointer;font-family:system-ui;font-size:.7rem;position:relative}.easy-nested-dropdown{position:absolute;top:0;left:100%;margin:0;border:none;display:none}.easy-dropdown li.selected>.easy-nested-dropdown,.easy-nested-dropdown li.selected>.easy-nested-dropdown{display:block;border:none}.easy-dropdown li.selected,.easy-nested-dropdown li.selected{background-color:#e5e5e5;border:none}#crystools-root-easyuse{flex-direction:row;justify-content:center;flex-shrink:1;width:min-content;min-width:max-content;height:100%;margin:0 auto}#crystools-root-easyuse .crystools-monitor-container{width:100%;cursor:crosshair;display:flex;flex-wrap:wrap;flex-direction:row;justify-content:flex-end;gap:5px;height:100%}#crystools-root-easyuse .crystools-monitor-container .crystools-monitor{background-color:var(--comfy-input-bg);position:relative;align-items:center;flex-direction:row;width:40px;height:100%}#crystools-root-easyuse .crystools-monitor-container .crystools-monitor .crystools-text{font-size:10px;text-align:right;margin-left:3px;position:absolute;font-weight:100;bottom:2px;z-index:10}#crystools-root-easyuse .crystools-monitor-container .crystools-content{position:relative;height:100%}#crystools-root-easyuse .crystools-monitor-container .crystools-slider{position:absolute;height:100%;width:0;box-shadow:inset 2px 2px 10px #0003}#crystools-root-easyuse .crystools-monitor-container .crystools-label{position:relative;width:100%;color:var(--input-text);font-weight:500;font-size:11px;left:2px;top:4px;text-align:right}:root{--theme-color:var(--primary-bg);--theme-color-light: var(--primary-hover-bg);--success-color: #52c41a;--error-color: #ff4d4f;--warning-color: #faad14;--font-family: Inter, -apple-system, BlinkMacSystemFont, Helvetica Neue, sans-serif;--p-inputtext-background: var(--p-form-field-background);--p-inputtext-disabled-background: var(--p-form-field-disabled-background);--p-inputtext-filled-background: var(--p-form-field-filled-background);--p-inputtext-filled-focus-background: var(--p-form-field-filled-focus-background);--p-inputtext-border-color: var(--p-form-field-border-color);--p-inputtext-hover-border-color: var(--p-form-field-hover-border-color);--p-inputtext-focus-border-color: var(--p-form-field-focus-border-color);--p-inputtext-invalid-border-color: var(--p-form-field-invalid-border-color);--p-inputtext-color: var(--p-form-field-color);--p-inputtext-disabled-color: var(--p-form-field-disabled-color);--p-inputtext-placeholder-color: var(--p-form-field-placeholder-color);--p-inputtext-shadow: var(--p-form-field-shadow);--p-inputtext-padding-x: var(--p-form-field-padding-x);--p-inputtext-padding-y: var(--p-form-field-padding-y);--p-inputtext-border-radius: var(--p-form-field-border-radius);--p-inputtext-focus-ring-width: var(--p-form-field-focus-ring-width);--p-inputtext-focus-ring-style: var(--p-form-field-focus-ring-style);--p-inputtext-focus-ring-color: var(--p-form-field-focus-ring-color);--p-inputtext-focus-ring-offset: var(--p-form-field-focus-ring-offset);--p-inputtext-focus-ring-shadow: var(--p-form-field-focus-ring-shadow);--p-inputtext-transition-duration: var(--p-form-field-transition-duration);--p-inputtext-sm-font-size: .875rem;--p-inputtext-sm-padding-x: .625rem;--p-inputtext-sm-padding-y: .375rem;--p-inputtext-lg-font-size: 1.125rem;--p-inputtext-lg-padding-x: .875rem;--p-inputtext-lg-padding-y: .625rem;--p-tooltip-max-width: 12.5rem;--p-tooltip-gutter: .25rem;--p-tooltip-shadow: var(--p-overlay-popover-shadow);--p-tooltip-padding: .5rem .75rem;--p-tooltip-border-radius: var(--p-overlay-popover-border-radius);--p-tooltip-background: var(--p-surface-700);--p-tooltip-color: var(--p-surface-0)}.comfyui-easyuse-theme,.comfyui-easyuse-primary{color:var(--theme-color-light)}.comfyui-easyuse-theme.point:hover,.comfyui-easyuse-primary.point:hover{opacity:.8}.comfyui-easyuse-success{color:var(--success-color)}.comfyui-easyuse-success.point:hover{opacity:.8}.comfyui-easyuse-error{color:var(--error-color)}.comfyui-easyuse-error.point:hover{opacity:.8}.comfyui-easyuse-warning,.comfyui-easyuse--warn{color:var(--warning-color)}.comfyui-easyuse-warning.point:hover,.comfyui-easyuse--warn.point:hover{opacity:.8}.grid-cols-1{grid-template-columns:repeat(1,minmax(0,1fr))}.grid-cols-12{grid-template-columns:repeat(12,minmax(0,1fr))}.grid-cols-2{grid-template-columns:repeat(2,minmax(0,1fr))}.grid-cols-3{grid-template-columns:repeat(3,minmax(0,1fr))}.flex-row{flex-direction:row}.flex-row-reverse{flex-direction:row-reverse}.flex-col{flex-direction:column}.flex-col-reverse{flex-direction:column-reverse}.flex-wrap{flex-wrap:wrap}.flex-nowrap{flex-wrap:nowrap}.items-start{align-items:flex-start}.items-end{align-items:flex-end}.items-center{align-items:center}.items-stretch{align-items:stretch}.justify-start{justify-content:flex-start}.justify-end{justify-content:flex-end}.justify-center{justify-content:center}.justify-between{justify-content:space-between}.grid{display:grid}.gap-0\\.5{gap:.125rem}.gap-1{gap:.25rem}.gap-10{gap:2.5rem}.gap-12{gap:3rem}.gap-2{gap:.5rem}.gap-2\\.5{gap:.625rem}.gap-20{gap:5rem}.gap-3{gap:.75rem}.gap-3\\.5{gap:.875rem}.gap-4{gap:1rem}.gap-5{gap:1.25rem}.gap-6{gap:1.5rem}.gap-7{gap:1.75rem}.gap-8{gap:2rem}.gap-\\[0\\.28rem\\]{gap:.28rem}.gap-x-2{-moz-column-gap:.5rem;column-gap:.5rem}.gap-x-4{-moz-column-gap:1rem;column-gap:1rem}.gap-y-1{row-gap:.25rem}.gap-y-6{row-gap:1.5rem}@media (min-width: 576px){.sm\\:col-span-4{grid-column:span 4/span 4}.sm\\:col-span-6{grid-column:span 6/span 6}.sm\\:ml-8{margin-left:2rem}.sm\\:mt-0{margin-top:0}.sm\\:flex{display:flex}.sm\\:h-60{height:15rem}.sm\\:\\!w-64{width:16rem!important}.sm\\:w-40{width:10rem}.sm\\:w-44{width:11rem}.sm\\:w-56{width:14rem}.sm\\:w-60{width:15rem}.sm\\:w-64{width:16rem}.sm\\:w-80{width:20rem}.sm\\:w-96{width:24rem}.sm\\:w-\\[30rem\\]{width:30rem}.sm\\:w-auto{width:auto}.sm\\:min-w-\\[30rem\\]{min-width:30rem}.sm\\:flex-row{flex-direction:row}.sm\\:flex-col{flex-direction:column}.sm\\:flex-nowrap{flex-wrap:nowrap}.sm\\:items-start{align-items:flex-start}.sm\\:items-end{align-items:flex-end}.sm\\:items-center{align-items:center}.sm\\:justify-center{justify-content:center}.sm\\:justify-between{justify-content:space-between}.sm\\:gap-2{gap:.5rem}.sm\\:p-20{padding:5rem}.sm\\:px-10{padding-left:2.5rem;padding-right:2.5rem}.sm\\:py-10{padding-bottom:2.5rem;padding-top:2.5rem}.sm\\:py-5{padding-bottom:1.25rem;padding-top:1.25rem}.sm\\:pt-32{padding-top:8rem}.sm\\:text-left{text-align:left}.sm\\:text-sm{font-size:.875rem;line-height:1.25rem}}@media (min-width: 768px){.md\\:-bottom-12{bottom:-3rem}.md\\:-bottom-28{bottom:-7rem}.md\\:-bottom-8{bottom:-2rem}.md\\:-bottom-\\[26rem\\]{bottom:-26rem}.md\\:-left-12{left:-3rem}.md\\:-left-28{left:-7rem}.md\\:-left-32{left:-8rem}.md\\:-left-4{left:-1rem}.md\\:-left-48{left:-12rem}.md\\:-left-\\[22rem\\]{left:-22rem}.md\\:bottom-0{bottom:0}.md\\:left-10{left:2.5rem}.md\\:left-\\[32rem\\]{left:32rem}.md\\:left-\\[42rem\\]{left:42rem}.md\\:top-1\\/2{top:50%}.md\\:top-32{top:8rem}.md\\:top-8{top:2rem}.md\\:col-span-2{grid-column:span 2/span 2}.md\\:col-span-4{grid-column:span 4/span 4}.md\\:col-span-6{grid-column:span 6/span 6}.md\\:ml-auto{margin-left:auto}.md\\:block{display:block}.md\\:flex{display:flex}.md\\:hidden{display:none}.md\\:h-\\[20rem\\]{height:20rem}.md\\:h-\\[32rem\\]{height:32rem}.md\\:\\!w-80{width:20rem!important}.md\\:w-2\\/12{width:16.666667%}.md\\:w-40{width:10rem}.md\\:w-5\\/12{width:41.666667%}.md\\:w-56{width:14rem}.md\\:w-6\\/12{width:50%}.md\\:w-60{width:15rem}.md\\:w-8\\/12{width:66.666667%}.md\\:w-80{width:20rem}.md\\:w-\\[100rem\\]{width:100rem}.md\\:w-\\[26rem\\]{width:26rem}.md\\:w-\\[30rem\\]{width:30rem}.md\\:w-\\[50rem\\]{width:50rem}.md\\:w-\\[52rem\\]{width:52rem}.md\\:w-\\[60rem\\]{width:60rem}.md\\:w-\\[95rem\\]{width:95rem}.md\\:w-screen{width:100vw}.md\\:flex-initial{flex:0 1 auto}.md\\:-translate-y-1\\/2{--tw-translate-y: -50% }.md\\:-translate-y-1\\/2,.md\\:translate-x-0{transform:translate(var(--tw-translate-x),var(--tw-translate-y)) rotate(var(--tw-rotate)) skew(var(--tw-skew-x)) skewY(var(--tw-skew-y)) scaleX(var(--tw-scale-x)) 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- 30px);background:var(--comfy-input-bg);border-radius:10px;position:relative}.comfyui-easyuse-slider-item-bar{width:10px;height:10px;background:linear-gradient(to bottom,var(--input-text),var(--descrip-text));border-radius:100%;box-shadow:0 2px 10px var(--bg-color);position:absolute;top:0;left:-2.5px;cursor:pointer;z-index:1}.comfyui-easyuse-slider-item-area{width:100%;border-radius:20px;position:absolute;bottom:0;background:var(--input-text);z-index:0}.comfyui-easyuse-slider-item.positive .comfyui-easyuse-slider-item-label{color:var(--success-color)}.comfyui-easyuse-slider-item.positive .comfyui-easyuse-slider-item-area{background:var(--success-color)}.comfyui-easyuse-slider-item.negative .comfyui-easyuse-slider-item-label{color:var(--error-color)}.comfyui-easyuse-slider-item.negative .comfyui-easyuse-slider-item-area{background:var(--error-color)}.comfyui-easyuse-map{height:100%;background:var(--comfy-menu-bg)}.comfyui-easyuse-map .p-splitter-gutter-handle{height:1px!important}.comfyui-easyuse-map-nodes{height:100%;position:relative}.comfyui-easyuse-map-nodes__header{position:absolute;z-index:2;top:0;left:0;width:100%;padding:.25rem 0 .25rem 1rem;height:2.7rem;background:var(--comfy-menu-bg);border-bottom:1px solid var(--border-color);display:-webkit-box;display:-moz-box;display:-ms-flexbox;display:-webkit-flex;display:flex;-webkit-justify-content:space-between;-khtml-justify-content:space-between;-moz-justify-content:space-between;-ms-justify-content:space-between;-o-justify-content:space-between;justify-content:space-between;-webkit-align-items:center;-khtml-align-items:center;-moz-align-items:center;-ms-align-items:center;-o-align-items:center;align-items:center;-webkit-backdrop-filter:saturate(180%) blur(40px);-khtml-backdrop-filter:saturate(180%) blur(40px);-moz-backdrop-filter:saturate(180%) blur(40px);-ms-backdrop-filter:saturate(180%) blur(40px);-o-backdrop-filter:saturate(180%) blur(40px);backdrop-filter:saturate(180%) blur(40px)}.comfyui-easyuse-map-nodes__header .title{font-size:13px;color:var(--input-text);font-weight:400;line-height:1.5;-webkit-user-select:none;user-select:none}.comfyui-easyuse-map-nodes__header .toolbar{display:-webkit-box;display:-moz-box;display:-ms-flexbox;display:-webkit-flex;display:flex;-webkit-align-items:center;-khtml-align-items:center;-moz-align-items:center;-ms-align-items:center;-o-align-items:center;align-items:center}.comfyui-easyuse-map-nodes__header .toolbar .icon{font-size:.85rem;margin-left:.25rem;cursor:pointer}.comfyui-easyuse-map-nodes__content{position:relative;padding:2.7rem 0 0;height:100%;overflow:auto}.comfyui-easyuse-map-nodes__content dl .label{padding-left:1rem}.comfyui-easyuse-map-nodes__content ol,.comfyui-easyuse-map-nodes__content dl{list-style-type:none;padding:0;margin:0}.comfyui-easyuse-map-nodes__content ol .toolbar span,.comfyui-easyuse-map-nodes__content dl .toolbar 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img{display:block;opacity:1}.comfyui-easyuse-contextmenu-model img{position:absolute;z-index:1;right:-175px;top:-75px;width:150px;height:auto;display:none;filter:brightness(70%);-webkit-filter:brightness(70%);opacity:0;-webkit-transition:all .5s cubic-bezier(.55,0,.1,1);-khtml-transition:all .5s cubic-bezier(.55,0,.1,1);-moz-transition:all .5s cubic-bezier(.55,0,.1,1);-ms-transition:all .5s cubic-bezier(.55,0,.1,1);-o-transition:all .5s cubic-bezier(.55,0,.1,1);transition:all .5s cubic-bezier(.55,0,.1,1)}.comfyui-easyuse-slider{width:100%;height:100%;display:-webkit-box;display:-moz-box;display:-ms-flexbox;display:-webkit-flex;display:flex;-webkit-justify-content:space-between;-khtml-justify-content:space-between;-moz-justify-content:space-between;-ms-justify-content:space-between;-o-justify-content:space-between;justify-content:space-between;-webkit-align-items:center;-khtml-align-items:center;-moz-align-items:center;-ms-align-items:center;-o-align-items:center;align-items:center}.comfyui-easyuse-slider-item{height:inherit;min-width:25px;display:-webkit-box;display:-moz-box;display:-ms-flexbox;display:-webkit-flex;display:flex;-webkit-justify-content:center;-khtml-justify-content:center;-moz-justify-content:center;-ms-justify-content:center;-o-justify-content:center;justify-content:center;-webkit-align-items:center;-khtml-align-items:center;-moz-align-items:center;-ms-align-items:center;-o-align-items:center;align-items:center;-webkit-flex-direction:column;-khtml-flex-direction:column;-moz-flex-direction:column;-ms-flex-direction:column;-o-flex-direction:column;flex-direction:column}.comfyui-easyuse-slider-item-input{height:15px;font-size:10px;color:var(--input-text)}.comfyui-easyuse-slider-item-label{height:15px;border:none;color:var(--descrip-text);font-size:8px}.comfyui-easyuse-slider-item-scroll{width:5px;height:calc(100% - 30px);background:var(--comfy-input-bg);border-radius:10px;position:relative}.comfyui-easyuse-slider-item-bar{width:10px;height:10px;background:linear-gradient(to bottom,var(--input-text),var(--descrip-text));border-radius:100%;box-shadow:0 2px 10px var(--bg-color);position:absolute;top:0;left:-2.5px;cursor:pointer;z-index:1}.comfyui-easyuse-slider-item-area{width:100%;border-radius:20px;position:absolute;bottom:0;background:var(--input-text);z-index:0}.comfyui-easyuse-slider-item.positive .comfyui-easyuse-slider-item-label{color:var(--success-color)}.comfyui-easyuse-slider-item.positive .comfyui-easyuse-slider-item-area{background:var(--success-color)}.comfyui-easyuse-slider-item.negative .comfyui-easyuse-slider-item-label{color:var(--error-color)}.comfyui-easyuse-slider-item.negative .comfyui-easyuse-slider-item-area{background:var(--error-color)}.comfyui-easyuse-map{height:100%;background:var(--comfy-menu-bg)}.comfyui-easyuse-map .p-splitter-gutter-handle{height:1px!important}.comfyui-easyuse-map-nodes{height:100%;position:relative}.comfyui-easyuse-map-nodes__header{position:absolute;z-index:2;top:0;left:0;width:100%;padding:.25rem 0 .25rem 1rem;height:2.7rem;background:var(--comfy-menu-bg);border-bottom:1px solid var(--border-color);display:-webkit-box;display:-moz-box;display:-ms-flexbox;display:-webkit-flex;display:flex;-webkit-justify-content:space-between;-khtml-justify-content:space-between;-moz-justify-content:space-between;-ms-justify-content:space-between;-o-justify-content:space-between;justify-content:space-between;-webkit-align-items:center;-khtml-align-items:center;-moz-align-items:center;-ms-align-items:center;-o-align-items:center;align-items:center;-webkit-backdrop-filter:saturate(180%) blur(40px);-khtml-backdrop-filter:saturate(180%) blur(40px);-moz-backdrop-filter:saturate(180%) blur(40px);-ms-backdrop-filter:saturate(180%) blur(40px);-o-backdrop-filter:saturate(180%) blur(40px);backdrop-filter:saturate(180%) blur(40px)}.comfyui-easyuse-map-nodes__header .title{font-size:13px;color:var(--input-text);font-weight:400;line-height:1.5;-webkit-user-select:none;user-select:none}.comfyui-easyuse-map-nodes__header .toolbar{display:-webkit-box;display:-moz-box;display:-ms-flexbox;display:-webkit-flex;display:flex;-webkit-align-items:center;-khtml-align-items:center;-moz-align-items:center;-ms-align-items:center;-o-align-items:center;align-items:center}.comfyui-easyuse-map-nodes__header .toolbar .icon{font-size:.85rem;margin-left:.25rem;cursor:pointer}.comfyui-easyuse-map-nodes__content{position:relative;padding:2.7rem 0 0;height:100%;overflow:auto}.comfyui-easyuse-map-nodes__content dl .label{padding-left:1rem}.comfyui-easyuse-map-nodes__content ol,.comfyui-easyuse-map-nodes__content dl{list-style-type:none;padding:0;margin:0}.comfyui-easyuse-map-nodes__content ol .toolbar span,.comfyui-easyuse-map-nodes__content dl .toolbar span{font-size:13px}.comfyui-easyuse-map-nodes__content ol .toolbar span.pi-eye,.comfyui-easyuse-map-nodes__content dl .toolbar span.pi-eye{color:var(--input-text)}.comfyui-easyuse-map-nodes__content ol .toolbar span.pi-eye-slash,.comfyui-easyuse-map-nodes__content dl .toolbar span.pi-eye-slash{color:var(--descrip-text)}.comfyui-easyuse-map-nodes__content ol .toolbar span.pi-eye-slash.never,.comfyui-easyuse-map-nodes__content dl .toolbar span.pi-eye-slash.never{opacity:.5}.comfyui-easyuse-map-nodes__content .no_result{display:-webkit-box;display:-moz-box;display:-ms-flexbox;display:-webkit-flex;display:flex;-webkit-justify-content:center;-khtml-justify-content:center;-moz-justify-content:center;-ms-justify-content:center;-o-justify-content:center;justify-content:center;-webkit-align-items:center;-khtml-align-items:center;-moz-align-items:center;-ms-align-items:center;-o-align-items:center;align-items:center;text-align:center}.comfyui-easyuse-map-nodes-group{position:relative;overflow:hidden;width:100%;height:2rem;cursor:default;display:-webkit-box;display:-moz-box;display:-ms-flexbox;display:-webkit-flex;display:flex;-webkit-justify-content:space-between;-khtml-justify-content:space-between;-moz-justify-content:space-between;-ms-justify-content:space-between;-o-justify-content:space-between;justify-content:space-between;-webkit-align-items:center;-khtml-align-items:center;-moz-align-items:center;-ms-align-items:center;-o-align-items:center;align-items:center;pointer-events:auto}.comfyui-easyuse-map-nodes-group 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span{font-size:14px;color:var(--input-text);font-weight:400;line-height:1.5;display:-webkit-box;-webkit-line-clamp:1;overflow:hidden;word-break:break-all;text-overflow:ellipsis;-webkit-box-orient:vertical;-webkit-user-select:none;-khtml-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;user-select:none}.comfyui-easyuse-map-nodes-group:hover{background:var(--content-hover-bg)!important}.comfyui-easyuse-map-nodes-group.active{background:var(--theme-color)!important}.comfyui-easyuse-map-nodes-group.active .label{color:#fff;cursor:default}.comfyui-easyuse-map-nodes-group.never .label{color:var(--descrip-text);opacity:.4}.comfyui-easyuse-map-nodes-group.bypass .label{color:var(--descrip-text)}.comfyui-easyuse-map-nodes-node{height:2rem;cursor:default;display:-webkit-box;display:-moz-box;display:-ms-flexbox;display:-webkit-flex;display:flex;-webkit-justify-content:space-between;-khtml-justify-content:space-between;-moz-justify-content:space-between;-ms-justify-content:space-between;-o-justify-content:space-between;justify-content:space-between;-webkit-align-items:center;-khtml-align-items:center;-moz-align-items:center;-ms-align-items:center;-o-align-items:center;align-items:center;position:relative;overflow:hidden;pointer-events:auto}.comfyui-easyuse-map-nodes-node .label{text-indent:.5rem;font-size:13px;color:var(--input-text);font-weight:400;line-height:1.5;-webkit-box-flex:1;-ms-flex:1;-webkit-flex:1;flex:1;-webkit-user-select:none;-khtml-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;user-select:none;margin-right:.25rem;height:2rem;line-height:2rem;width:100%;display:-webkit-box;-webkit-line-clamp:1;overflow:hidden;word-break:break-all;text-overflow:ellipsis;-webkit-box-orient:vertical}.comfyui-easyuse-map-nodes-node .label.error{color:var(--error-color)}.comfyui-easyuse-map-nodes-node:hover{background:var(--content-hover-bg)!important}.comfyui-easyuse-map-nodes-node.never .label{color:var(--descrip-text);opacity:.5}.comfyui-easyuse-map-nodes-node.bypass .label{color:#f0f;opacity:.5}.comfyui-easyuse-map-nodes .nodes .label{text-indent:1rem}.comfyui-easyuse-toolbar{border-radius:0 12px 12px 0;min-width:50px;height:24px;position:fixed;bottom:85px;left:0;display:flex;align-items:center;z-index:1000;background-color:var(--comfy-menu-bg);border:1px solid var(--bg-color);-webkit-backdrop-filter:saturate(180%) blur(40px);-khtml-backdrop-filter:saturate(180%) blur(40px);-moz-backdrop-filter:saturate(180%) blur(40px);-ms-backdrop-filter:saturate(180%) blur(40px);-o-backdrop-filter:saturate(180%) blur(40px);backdrop-filter:saturate(180%) blur(40px)}.comfyui-easyuse-toolbar-icon{height:100%;padding:0 4px;display:flex;justify-content:center;align-items:center;font-size:12px;color:var(--input-text);transition:all .3s ease-in-out;cursor:pointer}.comfyui-easyuse-toolbar-icon svg{width:14px;height:14px}.comfyui-easyuse-toolbar-icon:hover.group{color:var(--warning-color)}.comfyui-easyuse-toolbar-icon:hover.rocket{color:var(--theme-color)}.comfyui-easyuse-toolbar-nodes-map{position:absolute;top:50px;left:10px;width:200px;border-radius:12px;min-height:100px;max-height:600px;color:var(--descrip-text);background-color:var(--comfy-menu-bg);border:1px solid var(--bg-color);-webkit-backdrop-filter:saturate(180%) blur(40px);-khtml-backdrop-filter:saturate(180%) blur(40px);-moz-backdrop-filter:saturate(180%) blur(40px);-ms-backdrop-filter:saturate(180%) blur(40px);-o-backdrop-filter:saturate(180%) blur(40px);backdrop-filter:saturate(180%) blur(40px);z-index:399;padding-top:0;overflow:hidden}.comfyui-easyuse-toolbar-nodes-map .no-result-placeholder-content{-webkit-transform:scale(.8);-khtml-transform:scale(.8);-moz-transform:scale(.8);-ms-transform:scale(.8);-o-transform:scale(.8);transform:scale(.8)}.comfyui-easyuse-toolbar-nodes-map .comfyui-easyuse-map-nodes{min-height:100px;max-height:600px}.comfyui-easyuse-toolbar-nodes-map .comfyui-easyuse-map-nodes__header:before{content:"…";position:absolute;left:.25rem;top:2.75rem;transform:translateY(-2rem) rotate(90deg);width:.5rem;height:.5rem;display:inline-block;overflow:hidden;line-height:5px;padding:3px 4px;cursor:move;vertical-align:middle;font-size:12px;font-family:sans-serif;letter-spacing:2px;color:var(--drag-text);z-index:3;text-shadow:1px 0 1px black}.comfyui-easyuse-toolbar-nodes-map .comfyui-easyuse-map-nodes__header .title{cursor:move;padding-left:.25rem}.comfyui-easyuse-toolbar-nodes-map .comfyui-easyuse-map-nodes__content{max-height:calc(600px - 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