Qwen이 Qwen-Image-2.1-Turbo의 오픈 웨이트를 공개했다. Qwen-Image-2.1과 같은 7B 아키텍처를 기반으로 한 고속화 체크포인트로, 8회의 denoising step만으로 이미지를 생성하고 편집할 수 있다. Qwen-Image-2.1 Pro와 Turbo의 API도 정식으로 제공되고 있다.
Qwen-Image-2.1-Turbo는 Qwen-Image-2.1과 같은 7B 시각 생성 아키텍처를 토대로 한 고속화 체크포인트다. 스텝 수를 줄여도 품질이 떨어지지 않는다고 하며, 텍스트로 2K 이미지를 생성할 수 있고, 자연어로 소품 추가나 장면 변경 같은 편집을 이어서 할 수 있다.
사용하려면 Diffusers에서 QwenImage21Pipeline을 불러온다. 체크포인트가 권장하는 8스텝 샘플링 스케줄을 그대로 쓸 수 있다. 가중치는 ModelScope와 Hugging Face에서 공개되어 있다.
🚀 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:
https://modelscope.cn/models/Qwen/Qwen-Image-2.1-Turbo
🤗 Hugging Face:
https://huggingface.co/Qwen/Qwen-Image-2.1-Turbo
🔗 Pro API:
https://modelstudio.console.alibabacloud.com/ap-southeast-1/model/market/detail/qwen-image-2.1-pro?serviceSite=international&ref=list
🔗 Turbo API:
https://modelstudio.console.alibabacloud.com/ap-southeast-1/model/market/detail/qwen-image-2.1-turbo?serviceSite=international&ref=list
What will you create with 8 steps? Share your results with us!
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-2.1인용한 게시물 X에서 보기
출처: Qwen · x.com