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

README.md

@@ -45,7 +45,7 @@ licensed under the **FLUX Non-Commercial License v2.1** by Black Forest Labs.
 <p align="center">
   🤗 <a href="https://huggingface.co/QuantFunc">Hugging Face</a> &nbsp;|&nbsp;
   🤖 <a href="https://www.modelscope.cn/profile/QuantFunc">ModelScope</a> &nbsp;|&nbsp;
-  💻 <a href="https://github.com/QuantFunc/ComfyUI-QuantFunc">GitHub</a> &nbsp;|&nbsp;
+  💻 <a href="https://github.com/RealJonathanYip/ComfyUI-QuantFunc">GitHub</a> &nbsp;|&nbsp;
   💬 <a href="#wechat">WeChat (微信)</a> &nbsp;|&nbsp;
   🎮 <a href="https://discord.gg/jCp9TpFWcn">Discord</a>
 </p>
@@ -54,18 +54,18 @@ licensed under the **FLUX Non-Commercial License v2.1** by Black Forest Labs.
 
 The larger **9B** Klein model for maximum fidelity, shipped as **distilled (4-step)** + **base (28-step)** transformers across **three GPU tiers** (`50x` FP4 · `40x` INT4+FP8 · `30x-below` INT4+INT8).
 
-**Powered by the [QuantFunc ComfyUI plugin](https://github.com/QuantFunc/ComfyUI-QuantFunc) — the fastest diffusion inference engine:**
+**Powered by the [QuantFunc ComfyUI plugin](https://github.com/RealJonathanYip/ComfyUI-QuantFunc) — the fastest diffusion inference engine:**
 
 - 🚀 **2x–11x speedup** over standard BF16/FP16 Python pipelines (pre-exported → even faster loading).
 - ⚙️ **Native C++/CUDA** (`libquantfunc.so` / `quantfunc.dll`) with **zero Python model dependencies**.
 - 🧩 **Dual engine** (SVDQ offline + Lighting runtime 4-bit), **zero-cost LoRA stacking**, reference-image editing & inpainting.
 - 🟢 **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.
 
-👉 **Install the plugin:** **https://github.com/QuantFunc/ComfyUI-QuantFunc**
+👉 **Install the plugin:** **https://github.com/RealJonathanYip/ComfyUI-QuantFunc**
 
 # Klein-9B-Series
 
-Pre-quantized **FLUX.2 Klein 9B** model series by [QuantFunc](https://github.com/QuantFunc), Lighting backend. Text-to-image and reference-based image editing.
+Pre-quantized **FLUX.2 Klein 9B** model series by [QuantFunc](https://github.com/RealJonathanYip), Lighting backend. Text-to-image and reference-based image editing.
 
 > ✨ **Both the distilled AND the non-distilled (base) model are supported**, and the series ships **three GPU tiers** so every card gets the best path it can run:
 > **`50x`** (Blackwell, FP4) · **`40x`** (RTX 40 / Ada & Hopper, INT4 + FP8) · **`30x-below`** (RTX 30 and below, INT4 + INT8).
@@ -171,5 +171,5 @@ Join our community for support, updates, and discussions:
 - 💬 Scan the QR code below to join our WeChat group:
 
 <div align="center" id="wechat">
-  <img src="https://raw.githubusercontent.com/QuantFunc/ComfyUI-QuantFunc/main/assets/WeChat.jpg" alt="WeChat Group" width="300">
+  <img src="https://raw.githubusercontent.com/RealJonathanYip/ComfyUI-QuantFunc/main/assets/WeChat.jpg" alt="WeChat Group" width="300">
 </div>