Unsloth AI· @UnslothAI · X·· 9 天前AI 评分63
AI 导读
千问（Qwen）发布开源图像生成与编辑模型 Qwen-Image-2.1，7B 参数，官方称基准表现与 Nano Banana 2.0 相当。Unsloth 发布 GGUF 量化版，支持 12GB 显存本地运行，也可通过 offloading 在 6GB 显存运行 Dynamic FP8；量化文件见 https://huggingface.co/unsloth/Qwen-Image-2.1-GGUF，指南见 https://unsloth.ai/docs/models/qwen-image-2.1。原模型统一支持生成与编辑，可原生生成和编辑 RGBA 透明图层，支持最多 10 张参考图，链接包括 https://qwen.ai/blog?id=qwen-image-2.1 和 https://github.com/QwenLM/Qwen-Image-2.1。
正文
Qwen-Image-2.1 can now run locally on 12GB VRAM with Unsloth GGUFs! 🖼️
The 7B model performs on par with Nano Banana 2.0.
For higher quality, you can also run Dynamic FP8 on just 6GB of VRAM via offloading.
GGUF: https://huggingface.co/unsloth/Qwen-Image-2.1-GGUF
Guide: https://unsloth.ai/docs/models/qwen-image-2.1
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在 X 查看被引用的帖子
来源：Unsloth AI · x.com