Update README.md

README.md

@@ -39,20 +39,23 @@ extra_gated_eu_disallowed: true
 
 ## **Performance on RTX 5090**
 > When using **HunyuanImage-2.1** with the **quantized encoder** + **quantized base model**,  
-> the VRAM usage on an **NVIDIA RTX 5090** typically ranges between **26 GB and 29 GB**,  
+> the VRAM usage on an **NVIDIA RTX 5090** typically ranges between **26 GB and 30 GB**,  
 > depending on resolution, batch size, and prompt complexity.
 
+⚠ **Important Note:**  
+The **refiner** and **distilled model** are **not yet implemented** and are **not ready for use in ComfyUI**.  
+Currently, **only the base model** is supported.
+
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 <p align="center">
-  <img src="https://cdn-uploads.huggingface.co/production/uploads/63473b59e5c0717e6737b872/auZ_xmiKPw0QdBYUrTLn-.png" alt="Image1" />
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/63473b59e5c0717e6737b872/auZ_xmiKPw0QdBYUrTLn-.png" alt="Image1" width="50%" />
 </p>
 
 <p align="center">
-  <img src="https://cdn-uploads.huggingface.co/production/uploads/63473b59e5c0717e6737b872/qod1zCPWjzOZSNcOWx49-.png" alt="Image2" />
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/63473b59e5c0717e6737b872/qod1zCPWjzOZSNcOWx49-.png" alt="Image2" width="50%" />
 </p>
 
-
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 ## **Download Quantized Model (FP8 e4m3fn)**
@@ -66,6 +69,7 @@ extra_gated_eu_disallowed: true
 - **VRAM Usage:** ~26GB–30GB on RTX 5090  
 - **Resolution Tested:** 2K (2048×2048)  
 - **Frameworks:** ComfyUI & Diffusers  
+- **Refiner & Distilled Model:** ❌ Not implemented yet, **not available in ComfyUI**  
 - **License:** [tencent-hunyuan-community](https://github.com/Tencent-Hunyuan/HunyuanImage-2.1/blob/master/LICENSE)
 
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