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Open-Source 5B Image Model MOSS-Image Hits 1.3M Downloads in 4 Days

#image-generation#open-source#hugging-face#ai-model

MOSS-Image, an open-source 5B-parameter image generation model from Mosi AI and OpenMOSS, gained over 1.3 million downloads within four days of release, topping Hugging Face's text-to-image trend chart. Developers praised its natural look, attributing it to training data that excludes AI-generated images, and quickly created accelerated versions, quantized formats, and LoRA adaptations.

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    国产5B生图模型海外突然爆火，4天超百万下载

    国产5B生图模型海外突然爆火，4天超百万下载 思邈 2026-10-23 16:50:16 来源： 量子位 允中 发自 凹非寺 量子位 | 公众号QbitAI AI生图越来越强了，但大家似乎也苦“AI味”久矣。 精致得有些过头的光影、光滑的皮肤、似曾相识的构图……不少AI图片虽然漂亮，却总能让人一眼就认出来。 最近，一款来自中国的 开源生图模型 ，因为画面的自然感，在海外AI社区引起了一波讨论。 ComfyUI社区的知名开发者Ostris，就给出了一个有意思的猜测：如今越来越多模型开始使用AI生成图像进行训练，输出也逐渐带上了相似的“ChatGPT味”。而这款模型选择从训练数据中剔除AI生成图像，或许正是它看起来不太一样的原因。 这款模型，就是由 模思智能和OpenMOSS团队开源发布的MOSS-Image。 上线仅4天 ，MOSS-Image便在包括Hugging Face的Comfy-Org仓库在内的海外社区 收获130万次下载： GitHub上收获1.4k Stars，同时快速登顶Hugging Face文生图趋势榜， 跻身 全类别模型趋势榜前列。 更热闹的事情发生在开发者社区。 模型刚刚发布，开发者和创作者已经开始忙着制作各种衍生版本：8步、4步加速模型，INT8量化、GGUF版本，各种摄影、动漫风格LoRA，以及新的ComfyUI工作流接连出现。 X、Reddit平台上，也有不少开发者将它与FLUX.3-klein、Krea2、Qwen Image 2.1等模型放在一起比较，测试画面风格、人物细节、文字渲染和复杂构图。 那么，这款 基于5B参数DiT主干 的国产生图模型，究竟凭什么在短短几天内吸引这么多海外开发者？ 海外开发者热议，FLUX.3-klein、Krea2也被拉来同台比较 MOSS-Image开源后，海外社区的反应相当迅速，除了前面提到的画面自然度，开发者们也开始从不同角度测试这款模型的生成能力。 有人关注它能否摆脱常见的AI画风，有人则尝试用更复杂的Prompt测试 人物姿态、画面细节和风格一致性 。 从动漫、插画到照片级写实，MOSS-Image的风格多样性，也在社区开发者晒出的作品中得到了体现。 △图源：Reddit@Ok-Option-6683 另一位开发者Wildminder则特别关注MOSS-Image的布局控制能力。 通过JSON

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