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MOSS-Image-Base: an 8.56B open-weight text-to-image model with layout control

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ModelScope releases MOSS-Image-Base, an 8.56B-parameter open-weight text-to-image foundation model under Apache 2.0. It accepts descriptive prompts, tag sequences, or JSON layouts that specify text and object placement, including bounding boxes.

The model is designed as a base checkpoint for fine-tuning and includes Diffusers support, a Gradio interface, CPU offloading options, and a native ComfyUI plugin.

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Meet MOSS-Image-Base: an 8.56B open-weight text-to-image foundation model built for more controllable generation.
🤖 https://modelscope.ai/collections/openmoss/Moss-Image

🧩 More than natural-language prompts: Generate from descriptive prompts, tag sequences, or JSON layouts that specify text and object placement.
📝 Layout-aware images: Control captions, scene elements, and bounding boxes for posters, whiteboards, diagrams, and other structured visuals.
🔧 Built for customization: As the base checkpoint in the MOSS-Image family, it is designed for research, fine-tuning, and workflow-specific adaptation.
🖥️ Ready for local workflows: Includes Diffusers support, a Gradio interface, CPU offloading options, and a native ComfyUI plugin.
📜 Model weights and inference code are released under Apache 2.0.

Source: ModelScope · x.comPublished · added here