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docs: point GitHub/QR links to RealJonathanYip (repo migrated)

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@@ -37,7 +37,7 @@ These are **quantized derivative weights** of [`Qwen/Qwen-Image-Edit-2511`](http
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  <p align="center">
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  🤗 <a href="https://huggingface.co/QuantFunc">Hugging Face</a> &nbsp;|&nbsp;
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  🤖 <a href="https://www.modelscope.cn/profile/QuantFunc">ModelScope</a> &nbsp;|&nbsp;
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- 💻 <a href="https://github.com/QuantFunc/ComfyUI-QuantFunc">GitHub</a> &nbsp;|&nbsp;
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  💬 <a href="#wechat">WeChat (微信)</a> &nbsp;|&nbsp;
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  🎮 <a href="https://discord.gg/jCp9TpFWcn">Discord</a>
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  </p>
@@ -46,18 +46,18 @@ These are **quantized derivative weights** of [`Qwen/Qwen-Image-Edit-2511`](http
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  Pre-quantized **Qwen-Image-Edit-2511** for the **Lighting** engine — edit input images from text instructions (e.g. a 1K edit in ~1s on RTX 4090), for **RTX 30-series and above**.
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- **Powered by the [QuantFunc ComfyUI plugin](https://github.com/QuantFunc/ComfyUI-QuantFunc) — the fastest diffusion inference engine:**
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  - 🚀 **2x–11x speedup** over standard BF16/FP16 Python pipelines (pre-exported → even faster loading).
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  - ⚙️ **Native C++/CUDA** (`libquantfunc.so` / `quantfunc.dll`) with **zero Python model dependencies**.
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  - 🧩 **Dual engine** (SVDQ offline + Lighting runtime 4-bit), **zero-cost LoRA stacking**, reference-image editing & inpainting.
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  - 🟢 **Full GPU coverage** — RTX 20/30/40/50 · A100/H100/H200/B100/B200/GB300 · RTX 6000 Ada / PRO Blackwell (CUDA 12 & 13); native **FP4** on Blackwell.
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- 👉 **Install the plugin:** **https://github.com/QuantFunc/ComfyUI-QuantFunc**
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  # Qwen-Image-Edit-Series
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- Pre-quantized **Qwen-Image-Edit-2511** image editing model series by [QuantFunc](https://github.com/QuantFunc/ComfyUI-QuantFunc), with both Lighting and SVDQ backend inference support.
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  ## Overview
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@@ -246,5 +246,5 @@ Join our community for support, updates, and discussions:
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  - 💬 Scan the QR code below to join our WeChat group:
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  <div align="center" id="wechat">
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- <img src="https://raw.githubusercontent.com/QuantFunc/ComfyUI-QuantFunc/main/assets/WeChat.jpg" alt="WeChat Group" width="300">
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  </div>
 
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  <p align="center">
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  🤗 <a href="https://huggingface.co/QuantFunc">Hugging Face</a> &nbsp;|&nbsp;
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  🤖 <a href="https://www.modelscope.cn/profile/QuantFunc">ModelScope</a> &nbsp;|&nbsp;
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+ 💻 <a href="https://github.com/RealJonathanYip/ComfyUI-QuantFunc">GitHub</a> &nbsp;|&nbsp;
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  💬 <a href="#wechat">WeChat (微信)</a> &nbsp;|&nbsp;
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  🎮 <a href="https://discord.gg/jCp9TpFWcn">Discord</a>
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  </p>
 
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  Pre-quantized **Qwen-Image-Edit-2511** for the **Lighting** engine — edit input images from text instructions (e.g. a 1K edit in ~1s on RTX 4090), for **RTX 30-series and above**.
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+ **Powered by the [QuantFunc ComfyUI plugin](https://github.com/RealJonathanYip/ComfyUI-QuantFunc) — the fastest diffusion inference engine:**
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  - 🚀 **2x–11x speedup** over standard BF16/FP16 Python pipelines (pre-exported → even faster loading).
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  - ⚙️ **Native C++/CUDA** (`libquantfunc.so` / `quantfunc.dll`) with **zero Python model dependencies**.
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  - 🧩 **Dual engine** (SVDQ offline + Lighting runtime 4-bit), **zero-cost LoRA stacking**, reference-image editing & inpainting.
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  - 🟢 **Full GPU coverage** — RTX 20/30/40/50 · A100/H100/H200/B100/B200/GB300 · RTX 6000 Ada / PRO Blackwell (CUDA 12 & 13); native **FP4** on Blackwell.
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+ 👉 **Install the plugin:** **https://github.com/RealJonathanYip/ComfyUI-QuantFunc**
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  # Qwen-Image-Edit-Series
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+ Pre-quantized **Qwen-Image-Edit-2511** image editing model series by [QuantFunc](https://github.com/RealJonathanYip/ComfyUI-QuantFunc), with both Lighting and SVDQ backend inference support.
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  ## Overview
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  - 💬 Scan the QR code below to join our WeChat group:
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  <div align="center" id="wechat">
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+ <img src="https://raw.githubusercontent.com/RealJonathanYip/ComfyUI-QuantFunc/main/assets/WeChat.jpg" alt="WeChat Group" width="300">
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  </div>