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OpenMOSS / MOSS-Image

git clone https://github.com/OpenMOSS/MOSS-Image.git

Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.

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LanguagePython
LicenseApache-2.0
Created2026-10-16 (4d ago)
Last pushtoday
Watchers5
OwnerOrganization

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README excerpt
English   |   简体中文 
## News
- **[2026-10-20]** 🚀 The **MOSS-Image** series is now available on the MOSI API Platform. Try it in the Playground or integrate it through the API.
- **[2026-10-19]** 📄 The MOSS-Image Technical Report is now available on arXiv. If you find our work useful, please support us with an upvote on Hugging Face Papers! 🤗
- **[2026-10-18]** 🛠️ 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 for details.
- **[2026-10-16]** 🚀 MOSS-Image has day-0 support in SGLang, vLLM-Omni, and ComfyUI.
- **[2026-10-16]** 🎉 We are introducing **MOSS-Image-Base** and **MOSS-Image-SFT**! Code and model weights are publicly available.
 **Our key highlights:**
 - 📐 **Layout control:** Control the placement of text and visual elements.
 - ✍️ **Strong text rendering:** Generate clear, accurate text within images.
 - 📜 **Long-prompt support:** Accept text prompts of up to 4K tokens.
 - 🎨 **Versatile visual styles:** Create high-quality anime and photorealistic images.
 - 🛠️ **Easy to fine-tune:** Adapt the base model to custom tasks and domains.
 - ⚡ **Compact and efficient:** Efficient image generation with a 5B backbone.
 - 🖥️ **Heterogeneous GPU training**: Trained on alternative GPU platforms.
## Community projects
- DiffSynth-Studio now supports full fine-tuning and LoRA training for **MOSS-Image-Base** and **MOSS-Image-SFT**. See the training documentation and example scripts.
- MOSS-Image-SFT-DeBand by **MATLOWAI** provides community LoRAs to reduce vertical color banding in **MOSS-Image-SFT**, together with ComfyUI preset workflows. See the model card for examples, settings, and the trade-offs between stripe reduction and changes to image details.
- MOSS-Image-SFT-8-steps-dmd by **lodestones** is a community 8-step DMD distillation of **MOSS-Image-SFT**, with LoRA adapters for ComfyUI. See the model card for the latest checkpoints and usage recommendations.
- MOSS-Image-FP16-fixed by **KBlueLeaf** provides FP16-compatible transformer weights for **MOSS-Image-Base** and **MOSS-Image-SFT**, using residual-stream rescaling to improve overflow headroom. Diffusers and ComfyUI formats are available; see the model card for loading instructions and adapter compatibility.
- ComfyUI-Spectrum-MOSS by **Rkkss** adds Spectrum-style hidden-state forecasting to accelerate MOSS-Image sampling in ComfyUI, with manual and experimental adaptive nodes. See the repository for recommended sampling settings and examples.
## User guide
Start with the **English user guide** or **中文用户指南**
for recommended inference settings, prompt e