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On September 20, 2026, the Qwen team open-sourced the Qwen-Image-2.1 image model, unifying text-to-image and image editing into a single model that supports a variety of image editing tasks. According to the official introduction, the model's visual generation component is a 7B-parameter, 32-layer Single-Stream DiT that natively supports transparent image generation and editing, supports up to 10 reference images as well as local editing methods such as circling and masking, and reduces inference overhead and VRAM usage during multi-image editing through mixed-granularity attention and KV cache reuse; the model weights have been released on GitHub, Hugging Face, and ModelScope. On the same day, Qwen announced that Qwen-Image-2.1 is natively supported in ComfyUI; users can update ComfyUI or use Comfy Cloud, download the weights from Hugging Face, and load the template to use it.
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- Source:Qwen Blog
- Source:Comfy Blog
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Sep 20
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Qwen Open-Sources Qwen-Image-2.1 Image Generation and Editing Model
Qwen has released Qwen-Image-2.1 and opened its weights. This is an image generation model in the Qwen-Image series that balances performance and cost, with unified support for both generation and editing. The model uses a 7B lightweight architecture, can natively generate and edit RGBA transparent layers, supports up to 10 reference images and precise local editing, and covers scenarios such as panoramas, infographics, and virtual try-on.
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