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README.md

@@ -55,6 +55,8 @@ English | [中文](./README_CN.md)
 This repository provides checkpoints and inference code for **Boogu-Image-0.1**.
 
 ## 📣 News
+- **2026-07-23** 🔥 **NPU support is now available!** Check out the `npu` branch for initial NPU backend support and instructions. We welcome feedback and bug reports!
+- **2026-07-22** 🔥 **vLLM-Omni now supports Boogu-Image!** You can now run Boogu-Image models with the vLLM-Omni inference server. See the official recipe for details and setup: [vllm-project/vllm-omni Boogu-Image recipe](https://github.com/vllm-project/vllm-omni/blob/main/recipes/Boogu/Boogu-Image.md).
 - **2026-07-16** 🔥 🚀 🚀 **The Boogu-Image-0.1 Technical Report is released!** We have released our technical report. If you find our series of models or the report helpful to your research or applications, please consider citing our paper. Thank you very much for your support! You can read the paper here: [arXiv:2607.13125](https://arxiv.org/abs/2607.13125).
 - **2026-07-08** 🔥 **Boogu-Image-0.1-Edit-Turbo (Image-to-Image hotfix) is released!** This update addresses several issues in the previous version, including severe image quality degradation and poor performance on removal and other editing tasks. The new checkpoints are released on Hugging Face in the revisions [hotfix-1k-20260708](https://huggingface.co/Boogu/Boogu-Image-0.1-Edit-Turbo/tree/hotfix-1k-20260708) and [hotfix-1k5-20260708](https://huggingface.co/Boogu/Boogu-Image-0.1-Edit-Turbo/tree/hotfix-1k5-20260708). We recommend downloading the 1K checkpoint for more stable results. Try the [online demo for 1K res](https://demo-edit-turbo-1k.boogu.org/) and [online demo for 1.5K res](https://demo-edit-turbo-1k5.boogu.org/).
 - **2026-06-30** 🔥 **Boogu-Image-0.1-Edit-Turbo (Image-to-Image) is released!** Four-step distilled variant of the editing model for fast inference. Try the [online demo for 1k res](https://demo-edit-turbo-1k.boogu.org/) and [online demo for 1.5k res](https://demo-edit-turbo-1k5.boogu.org/).
@@ -246,6 +248,14 @@ python inference.py \
   --device "$device"
 ```
 
+### Ascend NPU Inference Support
+
+For Ascend NPU inference support, please switch to the `npu` branch:
+```bash
+git checkout npu
+```
+Follow the instructions in the `README.md` on that branch for setup and usage details.
+
 ### Hardware Notes
 
 > 📖 For full CLI options, device setup, offload strategies, caching acceleration, Torch Compile, FP8, and batch inference details, see [**INFERENCE_GUIDE.md**](./INFERENCE_GUIDE.md).