Alibaba releases Qwen-Image-2.1 for open-source image generation and editing
Alibaba’s Qwen team launched Qwen-Image-2.1, an open-source AI model that merges text-to-image creation and image editing into one system. A standout feature is native transparency support, allowing users to generate or edit RGBA images with transparent backgrounds directly from text prompts. It also enables multi-image editing with up to 10 reference images for composition tasks, preserving…
Key points
- Supports **native transparency** (RGBA images) and multi-image editing with up to 10 reference images
- Optimized for efficiency via mixed-granularity attention and KV-cache reuse, available on Hugging Face and ModelScope
Optimizations like mixed-granularity attention and prefix KV-cache reuse reduce computational redundancy for tasks involving multiple edits. The model is available on Hugging Face and ModelScope, with Day-0 support for tools like Diffusers, ComfyUI, vLLM-Omni, and SGLang.
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Qwen-Image-2.1: Alibaba’s New AI Model Targets Smarter Image Creation
analyticsinsight.net · 21 September 2026
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