Originally released by <a rel="ugc" href="https://huggingface.co/Qwen/Qwen-Image-2.1">Qwen on Hugging Face</a>. All credit goes to the Qwen team.
Qwen Image 2.1 combines text-to-image generation and image editing in a single model. Its visual generation component has 7 billion parameters across 32 single-stream DiT layers, balancing image quality, efficiency and versatility.
The release introduces four main improvements:
<ul>
 <li>Efficient architecture: Mixed-granularity attention and reuse of cached prefixes reduce computation while maintaining image quality.</li>
 <li>Generation and editing with transparency: Create regular or transparent RGBA images, edit transparent layers and isolate subjects from photographs.</li>
 <li>Flexible editing: Work with up to ten reference images, guide local changes using circles, painted annotations or separate masks, and preserve the identity of people and products.</li>
 <li>Improved visual detail: Refined typography, portrait lighting, realistic textures and finer details.</li>
</ul>
Released under the <a rel="ugc" href="https://huggingface.co/Qwen/Qwen-Image-2.1/blob/main/LICENSE">Qwen Research License Agreement</a>. See the <a rel="ugc" href="https://huggingface.co/Qwen/Qwen-Image-2.1">original model card</a> for examples and usage instructions.

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