The Boogu-Image-0.1 series is an open-source unified multimodal understanding and generation model release, featuring four variants: Base, Turbo, Edit, and...
The Boogu-Image-0.1 series is an open-source unified multimodal understanding and generation model
release, featuring four variants: Base, Turbo, Edit, and Edit-Turbo. It supports high-quality text-to-image, fast reasoning, instruction editing, and bilingual Chinese-English text rendering.
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Boogu-Image-0.1 系列宣布开源，包含 Base、Turbo、Edit 和 Edit-Turbo 四个变体。公开摘要称其覆盖文生图、快速推理、指令编辑及中英双语文本渲染；标题称训练成本约为 40 万美元。
该条目来自 HuggingFace Daily Papers 的社区热门论文，原文指向 arXiv。现有正文摘录仅介绍 arXivLabs，并未提供模型架构、训练数据、评测方法或许可证细节，因此相关信息主要来自标题与摘要。
Aioga 判断，将理解、生成与编辑能力纳入同一开源系列值得关注，四种变体也可能对应不同速度与任务需求。不过“高质量”“快速”等表述缺少当前材料中的评测数据，暂不能据此确认实际效果。
若摘要所列能力经公开评测验证，该系列可能为图像生成、图像编辑和双语文字渲染提供新的开源选择。标题中的约 40 万美元训练成本也值得关注，但其统计口径和覆盖范围尚无正文材料说明。 后续应核查论文全文、代码仓库与模型卡，重点确认许可证、参数规模、训练数据来源、成本计算口径、硬件配置及各变体基准结果，并通过独立测试验证生成质量、推理速度和双语渲染表现。
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Ingestion channel: Summary aggregation · Source domain: arxiv.org
Source: HuggingFace Daily Papers（社区热门论文）
Original link: Open original source
Aioga archive: Open intelligence page
Content record: source-page · Updated: 2026-07-14T00:00:00.000Z
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