OpenMOSS has published code and weights for MOSS-Image-Base and MOSS-Image-SFT, giving developers a 5B-parameter DiT text-to-image model with a documented JSON layout-prompt format. The practical consequence is that text placement and composition can be expressed as structured input rather than left entirely to a natural-language prompt. The project repository describes the model as targeting text rendering, layout generation and efficient fine-tuning.

Two published variants and conventional entry points

The repository lists MOSS-Image-Base as its base text-to-image model and MOSS-Image-SFT as a version fine-tuned from the base on curated data. It provides a Python example built around diffusers.DiffusionPipeline , and documents a Gradio application for local use.…