Alibaba’s Tongyi Qianwen team has released Qwen-Image-2.1, a unified model for text-to-image generation and image editing. The visual generation component has 7 billion parameters, and a single checkpoint covers text-to-image creation, multi-reference image editing, localized editing, and transparent RGBA output. The model supports 2K resolution by default and includes native transparent image generation as well as multi-reference editing capabilities. Qwen-Image-2.1 is already supported in Diffusers, ComfyUI, and vLLM-Omni for research and evaluation. Commercial deployment is not open by default and requires a separate license application to the Qwen team. According to tests run by the team on its internal Qwen-Image-Bench benchmark, the model posted a composite score of 60.28, above the other listed open-weight models. The item cited MarkTechPost as the source.
Alibaba’s Tongyi Qianwen team has released Qwen-Image-2.1, a unified model for text-to-image generation and image editing, according to Techub News.
The model’s visual generation component has 7 billion parameters. A single checkpoint covers text-to-image generation, multi-reference image editing, localized editing, and transparent RGBA output. It supports 2K resolution by default and includes native transparent image generation and multi-reference editing.
Qwen-Image-2.1 is now supported in Diffusers, ComfyUI, and vLLM-Omni for research and evaluation. Commercial deployment requires a separate license application to Tongyi Qianwen.
In tests conducted by the Qwen team on its internal Qwen-Image-Bench benchmark, Qwen-Image-2.1 recorded a composite score of 60.28, above the other listed open-weight models. The item cited MarkTechPost.
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