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Generative AI & Models7 min read

OpenMOSS releases MOSS-Image, a 5B DiT model for text rendering

OpenMOSS announced MOSS‑Image, a 5‑billion‑parameter DiT model focused on text and layout. The weights were uploaded to Hugging Face on October 11, the technical report on October 16, and ComfyUI integration began on October 17.

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Key points

  • MOSS-Image is a 5B DiT model released by OpenMOSS with 96.3 % long‑text coverage.
  • Model supports JSON text positioning and needs NVIDIA GPU, CUDA, and ComfyUI v0.42.0 or newer.

The official report claims an average long‑text coverage of 96.3 %, the highest among publicly released models, though third‑party verification is pending. The model supports text positioning via a JSON format, enabling template‑based editing of banners and thumbnails. It requires an NVIDIA GPU with CUDA and PyTorch 2.9 or later, and ComfyUI v0.42.0 or newer.

The model is licensed under Apache‑2.0 and is free to download, but operational requirements such as VRAM are not specified.

The story so far

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  1. OpenMOSS releases MOSS-Image, a 5B DiT model for text renderingthis story
Full story from note.com · by アライ|AI思考実験とデータ分析 · via Search: Hugging FaceOpen source ↗

Towards an Era Where Image AI Text Doesn't Break. MOSS-Image Hits 96% with Long Text

note.com · 25 October 2026

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This text was published by note.com and written by アライ|AI思考実験とデータ分析. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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