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MOSS-Image

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Headlines · 3

  1. OpenMOSS Releases MOSS-Image for Long Text and Structured Layouts

    OpenMOSS, a team involving Fudan NLP and Shanghai Chuangzhi, released the open-source MOSS-Image image-generation model. Its 5B-parameter single-stream DiT backbone reportedly supports prompts of up to about 4K tokens, Chinese and English long-text rendering, and editable JSON layouts. Base and SFT weights are available under Apache-2.0, with integrations for Diffusers, Gradio, and ComfyUI. The model uses an external prompt-enhancement planner and cannot directly accept reference images or perform native image editing.

    AIbase AI新闻 · 🔥 0
  2. MOSS Team Announces Reddit AMA on Image, Audio and Video Models

    The MOSS team announced a Reddit AMA for October 30, from 8–11 AM PT, focused on its model family for speech, sound, music, images and video. The team highlighted MOSS-Image, describing it as a text-to-image model with a 5B DiT backbone, Chinese and English text rendering and JSON layout control. It also discussed MOSS-TTS, MOSS-VL and MOVA.

    r/LocalLLaMA · 🔥 2
  3. MOSS-Image draws 1.3M downloads in four days after open-source release

    QbitAI reports that the 5B-parameter MOSS-Image image-generation model drew 1.3 million downloads across overseas communities within four days of its open-source release. The model uses a single-stream diffusion Transformer with structured JSON Layout controls, Chinese and English text rendering, and text conditions of up to 4,096 tokens, while community derivatives include accelerated, quantized, and LoRA variants. QbitAI also says MOSS-Image was trained on domestic PPU computing infrastructure after excluding AI-generated images from its training data.

    量子位(原生 RSS) · 🔥 0

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