Alibaba Qwen Releases Qwen-Image-2.1: A 7B Open-Weight Model for Image Generation and Editing
Alibaba’s Qwen team released Qwen-Image-2.1, a 7B open-weight model for image generation and editing.
Alibaba’s Qwen team released Qwen-Image-2.1, a unified text-to-image and editing model whose diffusion transformer has 7 billion parameters across 32 single-stream DiT layers, down from the 20B Qwen-Image shipped in August 2025. The pipeline also loads an 8B Qwen3-VL encoder and a 64-channel RGBA VAE; one checkpoint handles generation, multi-reference editing of up to 10 images, local edits, and native transparency, defaulting to 2048×2048. On Qwen’s in-house Qwen-Image-Bench it scores 60.28, above listed open-weight models including FLUX 2 Max at 55.33, but below GPT Image 2.5 Sunburst at 67.01. Day-0 tooling includes Diffusers, ComfyUI, vLLM-Omni, and SGLang; commercial use requires a separate Qwen license.
- 7B diffusion transformer plus an 8B Qwen3-VL encoder
- Single checkpoint covers generation, editing, and RGBA output
- Supports up to 10 reference images and native 2K
- Scores 60.28 on Qwen-Image-Bench, ahead of listed open weights
- Research license bars commercial use without a separate agreement
- Vendors
- Alibaba
- AI models
- Qwen-Image-2.1Qwen3-VL
From the original article
3 min read at marktechpost.com
Alibaba's Qwen team has released Qwen-Image-2. 1, a 7B diffusion transformer that handles text-to-image generation, multi-reference editing, and native RGBA transparency in one checkpoint. A prefix KV cache speeds up edits with up to 10 reference images.
By Michal Sutter · marktechpost.com
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