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docs: announce MOSI API Platform availability

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Phospheneser committed 2026-10-20 16:42:42 +00:00
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README.md
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<a href="https://huggingface.co/spaces/OpenMOSS-Team/MOSS-Image"><img alt="Hugging Face Spaces · Demo" src="https://img.shields.io/badge/🤗%20Spaces-Demo-4f46e5?style=flat-square"></a>
&nbsp;
<a href="https://platform.mosi.cn/?utm_source=github&amp;utm_medium=readme&amp;utm_campaign=imageapi"><img alt="MOSI API Platform" src="https://img.shields.io/badge/🔌%20MOSI-API%20Platform-0f766e?style=flat-square"></a>
&nbsp;
<a href="https://openmoss.github.io/MOSS-Image/"><img alt="Homepage" src="https://img.shields.io/badge/🌐%20Project-Homepage-2563eb?style=flat-square"></a>
&nbsp;
<a href="paper/MOSS_Image_Technical_Report.pdf"><img alt="Technical Report" src="https://img.shields.io/badge/📄%20Paper-Technical_Report-b31b1b?style=flat-square"></a>
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## News
- **[2026-10-20]** 🚀 The **MOSS-Image** series is now available on the [MOSI API Platform](https://platform.mosi.cn/?utm_source=github&utm_medium=readme&utm_campaign=imageapi). Try it in the Playground or integrate it through the API.
- **[2026-10-19]** 📄 The [MOSS-Image Technical Report](https://arxiv.org/abs/2610.23374) is now available on arXiv. If you find our work useful, please support us with an [upvote on Hugging Face Papers](https://huggingface.co/papers/2610.23374)! 🤗
- **[2026-10-18]** 🛠️ [KohakuMossTrainer](https://github.com/KohakuBlueleaf/KohakuMossTrainer) has been released, offering full fine-tuning and LyCORIS training (including LoRA) for **MOSS-Image-Base** and **MOSS-Image-SFT**. It features extensive optimizer support, mixed-precision training (BF16/FP16/FP8/MXFP8/INT8), multi-GPU training (DDP/FSDP/pipeline parallelism), optimized kernels, and CPU offloading, enabling adapter training with as little as **6GB VRAM**. It supports Windows, Linux, NVIDIA GPUs (SM70–SM120), and Intel Arc GPUs. See the [GitHub repository](https://github.com/KohakuBlueleaf/KohakuMossTrainer) for details.
README_ZH.md
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&nbsp;
<a href="https://huggingface.co/spaces/OpenMOSS-Team/MOSS-Image"><img alt="Hugging Face Spaces · Demo" src="https://img.shields.io/badge/🤗%20Spaces-Demo-4f46e5?style=flat-square"></a>
&nbsp;
<a href="https://platform.mosi.cn/?utm_source=github&amp;utm_medium=readme&amp;utm_campaign=imageapi"><img alt="MOSI API Platform" src="https://img.shields.io/badge/🔌%20MOSI-API%20Platform-0f766e?style=flat-square"></a>
&nbsp;
<a href="https://openmoss.github.io/MOSS-Image/"><img alt="Homepage" src="https://img.shields.io/badge/🌐%20Project-Homepage-2563eb?style=flat-square"></a>
&nbsp;
<a href="paper/MOSS_Image_Technical_Report.pdf"><img alt="Technical Report" src="https://img.shields.io/badge/📄%20Paper-Technical_Report-b31b1b?style=flat-square"></a>
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## 动态
- **[2026-10-20]** 🚀 **MOSS-Image** 系列现已上线 [MOSI API Platform](https://platform.mosi.cn/?utm_source=github&utm_medium=readme&utm_campaign=imageapi)，支持在 Playground 在线体验或通过 API 接入。
- **[2026-10-19]** 📄 [MOSS-Image 技术报告](https://arxiv.org/abs/2610.23374)已在 arXiv 公开。如果我们的工作对你有帮助，欢迎在 [Hugging Face Papers 上为我们点赞（upvote）](https://huggingface.co/papers/2610.23374)，感谢支持！🤗
- **[2026-10-18]** 🛠️ [KohakuMossTrainer](https://github.com/KohakuBlueleaf/KohakuMossTrainer) 已发布，支持 **MOSS-Image-Base** 和 **MOSS-Image-SFT** 的全参数微调与 LyCORIS 训练（包括 LoRA）。它提供丰富的优化器、混合精度训练（BF16/FP16/FP8/MXFP8/INT8）、多 GPU 训练（DDP/FSDP/流水线并行）、优化算子及 CPU 卸载，适配器训练最低可使用 **6GB 显存**。支持 Windows、Linux、NVIDIA GPU（SM70–SM120）和 Intel Arc GPU。详见 [GitHub 仓库](https://github.com/KohakuBlueleaf/KohakuMossTrainer)。