Link GitHub code repositories and credit chinoll as author

CKMoss-Image-RGBA-source.zip

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-size 5305007

ComfyUI-CKMoss-Image-RGBA.zip

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-version https://git-lfs.github.com/spec/v1
-oid sha256:d48a69d93a674232eb0516fd1e0912f0dedfac1759ca5a4d6799253db91dd4c0
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README.en.md

@@ -1,7 +1,8 @@
 <p align="center"><img src="assets/banner.png" alt="CKMoss-Image-RGBA" width="100%"></p>
 
 <p align="center"><b>Characters, illustrations, and little objects — ready for your composition.</b></p>
-<p align="center"><a href="README.md">中文</a> · English · <a href="comfyui/README.en.md">ComfyUI guide</a></p>
+<p align="center"><a href="README.md">中文</a> · English · <a href="https://github.com/Chenkin-x/ComfyUI-CKMoss-Image-RGBA/blob/main/README.en.md">ComfyUI guide</a></p>
+<p align="center">Author: <a href="https://github.com/chinoll">chinoll</a></p>
 
 **CKMoss-Image-RGBA** includes an RGBA VAE and an optional DiT LoRA, allowing MOSS-Image to output PNG files with an alpha channel for character assets, illustration, and layered compositions.
 
@@ -13,8 +14,8 @@
 | --- | --- | --- |
 | [RGBA VAE · 336 MB](vae/moss_rgba_vae.safetensors) | Required; already merged and ready to load | `ComfyUI/models/vae/` |
 | [DiT LoRA · 298 MB](loras/moss_rgba_dit_lora.safetensors) | Optional; use with MOSS-Image-SFT | `ComfyUI/models/loras/` |
-| [ComfyUI node package](ComfyUI-CKMoss-Image-RGBA.zip) | Nodes, guides, and example workflows | Extract into `ComfyUI/custom_nodes/` |
-| [Project source](CKMoss-Image-RGBA-source.zip) | Python entry points and model code | Extract and run from the project root |
+| [ComfyUI nodes on GitHub](https://github.com/Chenkin-x/ComfyUI-CKMoss-Image-RGBA) | Nodes, guides, and example workflows | Clone into `ComfyUI/custom_nodes/` |
+| [Model code on GitHub](https://github.com/Chenkin-x/CKMoss-Image-RGBA) | Python entry points and model code | Clone and run from the project root |
 
 This repository contains a **VAE and a LoRA**. Obtain the MOSS-Image base model and its text encoder separately. See the [official ComfyUI instructions](https://github.com/OpenMOSS/MOSS-Image/blob/main/comfyui/README.md).
 
@@ -27,7 +28,7 @@ Install the nodes, place the weights, and drag a workflow into ComfyUI. Select y
 
 Describe the subject, appearance, pose, and style. You can append `transparent background`. Connect **VAE Decode → Save Image** to save the RGBA PNG.
 
-Full installation and node guide: [English](comfyui/README.en.md) · [中文](comfyui/README.md).
+Full installation and node guide: [English](https://github.com/Chenkin-x/ComfyUI-CKMoss-Image-RGBA/blob/main/README.en.md) · [中文](https://github.com/Chenkin-x/ComfyUI-CKMoss-Image-RGBA).
 
 ## Showcase
 

README.md

@@ -19,7 +19,8 @@ inference: false
 <p align="center"><img src="assets/banner.png" alt="CKMoss-Image-RGBA" width="100%"></p>
 
 <p align="center"><b>让角色、插画和小物件，自由进入你的画面。</b></p>
-<p align="center">中文 · <a href="README.en.md">English</a> · <a href="comfyui/README.md">ComfyUI 使用教程</a></p>
+<p align="center">中文 · <a href="README.en.md">English</a> · <a href="https://github.com/Chenkin-x/ComfyUI-CKMoss-Image-RGBA">ComfyUI 使用教程</a></p>
+<p align="center">作者：<a href="https://github.com/chinoll">chinoll</a></p>
 
 **CKMoss-Image-RGBA** 提供一个 RGBA VAE 和一个可选的 DiT LoRA，让 MOSS-Image 输出带 Alpha 通道的 PNG，可用于角色素材、插画拼贴和图层合成。
 
@@ -31,8 +32,8 @@ inference: false
 | --- | --- | --- |
 | [RGBA VAE · 336 MB](vae/moss_rgba_vae.safetensors) | 必需，已经合并，可直接加载 | `ComfyUI/models/vae/` |
 | [DiT LoRA · 298 MB](loras/moss_rgba_dit_lora.safetensors) | 可选，与 MOSS-Image-SFT 配合使用 | `ComfyUI/models/loras/` |
-| [ComfyUI 节点安装包](ComfyUI-CKMoss-Image-RGBA.zip) | 节点、教程和参考工作流 | 解压到 `ComfyUI/custom_nodes/` |
-| [项目源码](CKMoss-Image-RGBA-source.zip) | Python 入口与完整模型代码 | 解压后从项目根目录运行 |
+| [ComfyUI 节点 · GitHub](https://github.com/Chenkin-x/ComfyUI-CKMoss-Image-RGBA) | 节点、教程和参考工作流 | 克隆到 `ComfyUI/custom_nodes/` |
+| [模型代码 · GitHub](https://github.com/Chenkin-x/CKMoss-Image-RGBA) | Python 入口与完整模型代码 | 克隆后从项目根目录运行 |
 
 本仓库提供 **VAE 和 LoRA**；基础 MOSS-Image 模型及其文本编码器需另行准备。可参考 [MOSS-Image 官方 ComfyUI 说明](https://github.com/OpenMOSS/MOSS-Image/blob/main/comfyui/README.md)。
 
@@ -45,7 +46,7 @@ inference: false
 
 输入主体、外观、姿态和风格描述，末尾可加 `transparent background`。直接连接 **VAE Decode → Save Image**，即可保存 RGBA PNG。
 
-完整安装步骤和节点说明：[中文](comfyui/README.md) · [English](comfyui/README.en.md)。
+完整安装步骤和节点说明：[中文](https://github.com/Chenkin-x/ComfyUI-CKMoss-Image-RGBA) · [English](https://github.com/Chenkin-x/ComfyUI-CKMoss-Image-RGBA/blob/main/README.en.md)。
 
 ## 效果展示
 

comfyui/README.en.md

@@ -1,7 +1,8 @@
 <p align="center"><img src="../assets/banner.png" alt="CKMoss Image RGBA" width="100%"></p>
 
 <p align="center"><b>Characters, illustrations, and little objects — ready for your composition.</b></p>
-<p align="center"><a href="README.md">中文</a> · English · <a href="https://huggingface.co/ChenkinLab/CKMoss-Image-RGBA">Download models</a></p>
+<p align="center"><a href="README.md">中文</a> · English · <a href="https://huggingface.co/ChenkinLab/CKMoss-Image-RGBA">Download models</a> · <a href="https://github.com/Chenkin-x/CKMoss-Image-RGBA">Model code</a></p>
+<p align="center">Author: <a href="https://github.com/chinoll">chinoll</a></p>
 
 Generate RGBA images with MOSS-Image and save PNG files with an alpha channel, using ComfyUI's normal model loading, prompting, and sampling nodes.
 
@@ -10,7 +11,13 @@ Generate RGBA images with MOSS-Image and save PNG files with an alpha channel, u
 ## Install
 
 1. Update ComfyUI and prepare the base model and text encoder using the [official MOSS-Image instructions](https://github.com/OpenMOSS/MOSS-Image/blob/main/comfyui/README.md).
-2. Download the [node package](https://huggingface.co/ChenkinLab/CKMoss-Image-RGBA/resolve/main/ComfyUI-CKMoss-Image-RGBA.zip) and extract it into `ComfyUI/custom_nodes/`.
+2. Clone this repository into `ComfyUI/custom_nodes/`:
+
+   ```bash
+   cd ComfyUI/custom_nodes
+   git clone https://github.com/Chenkin-x/ComfyUI-CKMoss-Image-RGBA.git
+   ```
+
 3. Restart ComfyUI. This package requires no additional Python dependencies.
 
 The entry point should be `ComfyUI/custom_nodes/ComfyUI-CKMoss-Image-RGBA/__init__.py`.
@@ -33,7 +40,7 @@ Drag a workflow JSON into ComfyUI:
 - [RGBA VAE only](../workflows/vae_only.json): no DiT LoRA.
 - [RGBA VAE + DiT LoRA](../workflows/with_lora.json): uses `Load LoRA (Model Only)`, with strength `1.0`.
 
-Choose your MOSS-Image-SFT model in `Load Diffusion Model`, its text encoder in `Load CLIP`, and `moss_image` as the CLIP type. Choose this project's VAE in **Load CKMoss Image RGBA VAE**.
+Choose your MOSS-Image-SFT model in `Load Diffusion Model`, its text encoder in `Load CLIP`, and `moss_image` as the CLIP type. Choose this project's VAE in **Load MOSS RGBA VAE**.
 
 Describe the subject, appearance, pose, and style. You can append `transparent background`. The examples use Euler, 30 steps, CFG 4, and dimensions divisible by 16.
 

comfyui/README.md

@@ -1,7 +1,8 @@
 <p align="center"><img src="../assets/banner.png" alt="CKMoss Image RGBA" width="100%"></p>
 
 <p align="center"><b>让角色、插画和小物件，自由进入你的画面。</b></p>
-<p align="center">中文 · <a href="README.en.md">English</a> · <a href="https://huggingface.co/ChenkinLab/CKMoss-Image-RGBA">模型下载</a></p>
+<p align="center">中文 · <a href="README.en.md">English</a> · <a href="https://huggingface.co/ChenkinLab/CKMoss-Image-RGBA">模型下载</a> · <a href="https://github.com/Chenkin-x/CKMoss-Image-RGBA">模型代码</a></p>
+<p align="center">作者：<a href="https://github.com/chinoll">chinoll</a></p>
 
 为 MOSS-Image 添加 RGBA 图像输出，直接保存带 Alpha 通道的 PNG。节点沿用 ComfyUI 的模型加载、文本提示和采样工作流。
 
@@ -10,7 +11,13 @@
 ## 安装
 
 1. 更新 ComfyUI，并按 [MOSS-Image 官方说明](https://github.com/OpenMOSS/MOSS-Image/blob/main/comfyui/README.md)准备基础模型和文本编码器。
-2. 下载 [节点安装包](https://huggingface.co/ChenkinLab/CKMoss-Image-RGBA/resolve/main/ComfyUI-CKMoss-Image-RGBA.zip)，解压到 `ComfyUI/custom_nodes/`。
+2. 将本仓库克隆到 `ComfyUI/custom_nodes/`：
+
+   ```bash
+   cd ComfyUI/custom_nodes
+   git clone https://github.com/Chenkin-x/ComfyUI-CKMoss-Image-RGBA.git
+   ```
+
 3. 重启 ComfyUI。此节点包没有额外的 Python 依赖。
 
 目录应为 `ComfyUI/custom_nodes/ComfyUI-CKMoss-Image-RGBA/__init__.py`。
@@ -33,7 +40,7 @@
 - [只使用 RGBA VAE](../workflows/vae_only.json)：不加载 DiT LoRA。
 - [RGBA VAE + DiT LoRA](../workflows/with_lora.json)：通过 `Load LoRA (Model Only)` 加载，默认强度 `1.0`。
 
-在 `Load Diffusion Model` 和 `Load CLIP` 中选择已有的 MOSS-Image-SFT 和配套文本编码器；`Load CLIP` 的类型选择 `moss_image`。在 **Load CKMoss Image RGBA VAE** 中选择本项目的 VAE。
+在 `Load Diffusion Model` 和 `Load CLIP` 中选择已有的 MOSS-Image-SFT 和配套文本编码器；`Load CLIP` 的类型选择 `moss_image`。在 **Load MOSS RGBA VAE** 中选择本项目的 VAE。
 
 输入主体、外观、姿态和风格描述，末尾可加 `transparent background`。示例使用 Euler、30 步、CFG 4；宽高为 16 的倍数。