Update README.md

README.md

@@ -26,17 +26,23 @@ Merged models for faster, richer motion & detail — high performance even at ju
 
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-## 📂 Workflows
-
-Workflows can be found **[HERE](https://civitai.com/models/1663553)** (WIP — more coming soon)
-Modles like Text to video, Image to Video, Phantom, and VACE can be found [HERE](https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX/tree/main)
-GGUF's of most of the models can be found Here:
-[FusionX Image to video GGUF's](https://huggingface.co/QuantStack/Wan2.1_I2V_14B_FusionX-GGUF/tree/main)
-[FusionX Text to video GGUF's](https://huggingface.co/QuantStack/Wan2.1_T2V_14B_FusionX-GGUF/tree/main)
-[FusionX Text to video VACE for native](https://huggingface.co/QuantStack/Wan2.1_T2V_14B_FusionX_VACE-GGUF/tree/main)
-[FusionX Phantom](https://huggingface.co/QuantStack/Phantom_Wan_14B_FusionX-GGUF)
+## 📂 Workflows & Model Downloads
+
+- 💡 **ComfyUI workflows** can be found here:  
+  👉 [Workflow Collection (WIP)](https://civitai.com/models/1663553)
+
+- 📦 **Model files (T2V, I2V, Phantom, VACE)**:  
+  👉 [Main Hugging Face Repo](https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX/tree/main)
+
+### 🧠 GGUF Variants:
+- 🖼️ [FusionX Image-to-Video (GGUF)](https://huggingface.co/QuantStack/Wan2.1_I2V_14B_FusionX-GGUF/tree/main)  
+- 🎥 [FusionX Text-to-Video (GGUF)](https://huggingface.co/QuantStack/Wan2.1_T2V_14B_FusionX-GGUF/tree/main)  
+- 🎞️ [FusionX T2V VACE (for native)](https://huggingface.co/QuantStack/Wan2.1_T2V_14B_FusionX_VACE-GGUF/tree/main)  
+- 👻 [FusionX Phantom](https://huggingface.co/QuantStack/Phantom_Wan_14B_FusionX-GGUF)
+
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+
 ## 🚀 Overview
 
 A powerful text-to-video model built on top of **WAN 2.1 14B**, merged with several research-grade models to boost: