通义千问开源 Qwen-Image-2.1-Turbo 图像模型,8 步去噪生成与编辑
Qwen 发布并开源 Qwen-Image-2.1-Turbo,基于 Qwen-Image-2.1 的 7B 视觉生成架构,仅需 8 步去噪即可完成图像生成与编辑,仍可输出 2K 图像并支持自然语言编辑。
原文说明了加速方案与原模型的关系及接入方式,读者可据此评估它对现有图像工作流的提速价值。
🚀 Meet Qwen-Image-2.1-Turbo — create and edit images in just 8 denoising steps! Open weights now available!
Built on Qwen-Image-2.1, Turbo is an accelerated checkpoint on the same 7B visual generation architecture.
Fewer steps does not mean lower quality: it still generates strong 2K images from text, and supports continued creation through natural-language edits, from adding accessories to changing a scene.
Start directly with Diffusers: load QwenImage21Pipeline and the checkpoint’s recommended 8-step sampling schedule is ready to go.
🌐 Prefer an API? Qwen-Image-2.1 Pro and Turbo APIs are now officially live. Choose a hosted API for your application, or use the Turbo weights in your own workflow.
🤖 ModelScope:
modelscope.cn/models/Qwen/Qw…
🤗 Hugging Face:
huggingface.co/Qwen/Qwen-Ima…
🔗 Pro API:
modelstudio.console.alibabac…
🔗 Turbo API:
modelstudio.console.alibabac…
What will you create with 8 steps? Share your results with us!
来源:Alibaba_Qwen · x.com