Update README.md

README.md

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 This model is one of the open-source Diffusion Templates series models from [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio). Specifically designed for inpainting tasks, it accepts an original image and a mask image, then generates new content within the masked region based on natural language prompts, seamlessly blending with the surrounding unmasked background.
 
+* Open-source code: [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)
+* Technical report: [arXiv](https://arxiv.org/abs/2604.24351)
+* Project page: [GitHub](https://modelscope.github.io/diffusion-templates-web/)
+* Documentation: [English Version](https://diffsynth-studio-doc.readthedocs.io/en/latest/Diffusion_Templates/Introducing_Diffusion_Templates.html)、[中文版](https://diffsynth-studio-doc.readthedocs.io/zh-cn/latest/Diffusion_Templates/Introducing_Diffusion_Templates.html)
+* Online demo: [ModelScope](https://modelscope.cn/studios/DiffSynth-Studio/Diffusion-Templates)
+* Models: [ModelScope](https://modelscope.cn/collections/DiffSynth-Studio/KleinBase4B-Templates)、[ModelScope International](https://modelscope.ai/collections/DiffSynth-Studio/KleinBase4B-Templates)、[HuggingFace](https://huggingface.co/collections/DiffSynth-Studio/kleinbase4b-templates)
+* Datasets: [ModelScope](https://modelscope.cn/collections/DiffSynth-Studio/ImagePulseV2)、[ModelScope International](https://modelscope.cn/collections/DiffSynth-Studio/ImagePulseV2)、[HuggingFace](https://huggingface.co/collections/DiffSynth-Studio/imagepulsev2)
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 ## Results
 
 | Reference | Prompt | Mask | Generated |