diff --git a/README.md b/README.md
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 An state-of-the-art virtual try-on solution that combines the power of [CATVTON](https://arxiv.org/abs/2407.15886) (CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models) with Flux fill inpainting model for realistic and accurate clothing transfer.
 Also inspired by [In-Context LoRA](https://arxiv.org/abs/2410.23775) for prompt engineering.
 
+Running it now on website: [CATVTON-FLUX-TRY-ON](https://huggingface.co/spaces/xiaozaa/catvton-flux-try-on)
+
 ## Update
 
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@@ -24,6 +26,7 @@ Also inspired by [In-Context LoRA](https://arxiv.org/abs/2410.23775) for prompt
 - Updated the weights. (Still training on the VITON-HD dataset only.)
     - Reduce the fine-tuning weights size (46GB -> 23GB)
     - Weights has better performance on garment small details/text.
+- Added the huggingface ZeroGPU support. You can run **CATVTON-FLUX-TRY-ON** now on huggingface space [here](https://huggingface.co/spaces/xiaozaa/catvton-flux-try-on)
 
 (2024/11/25):
 - Released lora weights. Lora weights achieved FID: `6.0675811767578125` on VITON-HD dataset. Test configuration: scale 30, step 30.