Multi-image editing support
According to the model card, the September iteration adds multi-image editing trained via image concatenation, with best performance on 1 to 3 inputs.
Open Source Model Profile · Qwen
Qwen-Image-Edit-2509 is a 20.43B-parameter image-editing model from Qwen. According to the model card, it adds multi-image editing and improved consistency over the August release.
Qwen-Image-Edit-2509 is published by Qwen as an image-to-image model. Safetensors metadata reports 20,430,401,088 parameters. According to the model card, it is the September monthly iteration of Qwen-Image-Edit with multi-image editing and stronger single-image consistency.
According to the model card, the September iteration adds multi-image editing trained via image concatenation, with best performance on 1 to 3 inputs.
According to the model card, single-image editing improves person, product, and text consistency, including fonts, colors, and materials.
According to the model card, the model natively supports ControlNet conditions including depth, edge, and keypoint maps.
Safetensors metadata reports 20,430,401,088 parameters, and the card documents QwenImageEditPlusPipeline Diffusers usage.
Source: Qwen/Qwen-Image-Edit-2509
Captured: Unknown. Processed: 2026-09-07T19:34:35.839662+00:00.
💜 Qwen Chat | 🤗 Hugging Face | 🤖 ModelScope | 📑 Tech Report | 📑 Blog 🖥️ Demo | 💬 WeChat (微信) | 🫨 Discord | Github Introduction This September, we are pleased to introduce Qwen-Image-Edit-2509, the monthly iteration of Qwen-Image-Edit. To experience the latest model, please visit Qwen Chat and select the "Image Editing" feature. Compared with Qwen-Image-Edit released in August, the main improvements of Qwen-Image-Edit-2509 include: Multi-image Editing Support : For multi-image inputs, Qwen-Image-Edit-2509 builds upon the Qwen-Image-Edit architecture and is further trained via image concatenation to enable multi-image editing.…
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