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Expand Up @@ -20,7 +20,7 @@ We are thrilled to release **Qwen-Image**, a 20B MMDiT image foundation model th

## News
- 2025.12.19: We released Qwen-Image-Layered weights! Check at [Huggingface](https://huggingface.co/Qwen/Qwen-Image-Layered) and [ModelScope](https://modelscope.cn/models/Qwen/Qwen-Image-Layered)!
- 2025.12.19: We released Qwen-Image-Layered! Check our [Blog](https://qwenlm.github.io/blog/qwen-image-layered) for more details!
- 2025.12.19: We released Qwen-Image-Layered! Check our [Blog](https://qwen.ai/blog?id=qwen-image-layered) for more details!
- 2025.12.18: We released our [Research Paper](https://arxiv.org/abs/2512.15603) on Arxiv!
- 2025.11.11: **[T2I-CoreBench](https://t2i-corebench.github.io/)** offers a comprehensive and complex evaluation of T2I models in real-world scenarios. On this benchmark, Qwen-Image achieves state-of-the-art performance under real-world complexities in both composition and reasoning T2I tasks, surpassing other open-source models and showing comparable results to closed-source ones.
- 2025.11.07: LeMiCa is a diffusion model inference acceleration solution developed by China Unicom Data Science and Artificial Intelligence Research Institute. By leveraging cache-based techniques and global denoising path optimization, LeMiCa provides efficient inference support for Qwen-Image, achieving nearly 3x lossless acceleration while maintaining visual consistency and quality. For more details, please visit the homepage: [https://unicomai.github.io/LeMiCa/](https://unicomai.github.io/LeMiCa/)
Expand Down Expand Up @@ -415,3 +415,4 @@ If you're passionate about fundamental research, we're hiring full-time employee