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RadarAI· X:通义千问 / Qwen (@Alibaba_Qwen)·· 9 天前AI 评分66

通义千问发布 Qwen-Image-2.1-Turbo,8 步去噪生成与编辑图像并开放权重

通义千问发布 Qwen-Image-2.1-Turbo,8 步去噪即可生成和编辑图像并开放权重

AI 导读

通义千问发布 Qwen-Image-2.1-Turbo,这是基于同一 7B 视觉生成架构的加速 checkpoint,只需 8 个去噪步骤即可生成和编辑图像,权重已开放。该系列为生成与编辑统一模型,原生支持 RGBA 图层生成与编辑,可处理最多 10 张参考图并保持人像与商品的高保真度。模型权重已在 ModelScope 和 Hugging Face 开放,博客与 GitHub 仓库同步上线。

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Qwen· @Alibaba_Qwen · X·2026-10-09 21:24· 24 分钟前AI 评分64

AI 导读

通义千问发布 Qwen-Image-2.1-Turbo,基于同一 7B 视觉生成架构的加速 checkpoint,只需 8 个去噪步骤即可生成和编辑图像,权重已开放。

正文

引用Qwen@Alibaba_Qwen
Meet Qwen-Image-2.1, the most balanced and cost-effective image generation model in the Qwen-Image series! Now open weights! 🎨 A unified model for both generation and editing, delivering top-tier quality in a lightweight package. Highlights: 👀 - Compact & exceptionally fast: A lightweight 7B architecture that outperforms most closed-source models, with drastically accelerated inference for multi-image inputs. - Native transparency: Natively generates and edits RGBA layers, enabling seamless compositing and text editing within transparent images. - Versatile, high-fidelity editing: Supports up to 10 reference images and precise local control while preserving strict fidelity for portraits and products. - Broad coverage & stunning aesthetics: Excels at panoramas, infographics, and virtual try-ons, delivering realistic textures and elegant typography. Start to create your next masterpiece with Qwen-Image-2.1! 🖼️ - Blog: https://qwen.ai/blog?id=qwen-image-2.1 - GitHub: https://github.com/QwenLM/Qwen-Image-2.1 - Model Scope: https://www.modelscope.cn/models/Qwen/Qwen-Image-2.1 - Hugging Face: https://huggingface.co/Qwen/Qwen-Image-2.1
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来源:Qwen · x.com

来源:RadarAI · aihot.news