Qwen-Image-Edit-2509 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. It supports various combinations such as "person + person," "person + product," and "person + scene." Optimal performance is currently achieved with 1 to 3 input images.

• Enhanced Single-image Consistency: For single-image inputs, Qwen-Image-Edit-2509 significantly improves consistency, specifically in the following areas:

  • Improved Person Editing Consistency: Better preservation of facial identity, supporting various portrait styles and pose transformations;
  • Improved Product Editing Consistency: Better preservation of product identity, supporting product poster editing；
  • Improved Text Editing Consistency: In addition to modifying text content, it also supports editing text fonts, colors, and materials；

• Native Support for ControlNet: Including depth maps, edge maps, keypoint maps, and more.

Example Showcase

The primary update in Qwen-Image-Edit-2509 is support for multi-image inputs.

Let’s first look at a "person + person" example:

Here is a "person + scene" example:

Below is a "person + object" example:

In fact, multi-image input also supports commonly used ControlNet keypoint maps—for example, changing a person’s pose:

Similarly, the following examples demonstrate results using three input images:

---

Another major update in Qwen-Image-Edit-2509 is enhanced consistency.

First, regarding person consistency, Qwen-Image-Edit-2509 shows significant improvement over Qwen-Image-Edit. Below are examples generating various portrait styles:

For instance, changing a person’s pose while maintaining excellent identity consistency:

Leveraging this improvement along with Qwen-Image’s unique text rendering capability, we find that Qwen-Image-Edit-2509 excels at creating meme images:

Of course, even with longer text, Qwen-Image-Edit-2509 can still render it while preserving the person’s identity:

Person consistency is also evident in old photo restoration. Below are two examples:

Naturally, besides real people, generating cartoon characters and cultural creations is also possible:

Second, Qwen-Image-Edit-2509 specifically enhances product consistency. We find that the model can naturally generate product posters from plain-background product images:

Or even simple logos:

Third, Qwen-Image-Edit-2509 specifically enhances text consistency and supports editing font type, font color, and font material:

Moreover, the ability for precise text editing has been significantly enhanced:

It is worth noting that text editing can often be seamlessly integrated with image editing—for example, in this poster editing case:

---

The final update in Qwen-Image-Edit-2509 is native support for commonly used ControlNet image conditions, such as keypoint control and sketches:

---

The above summarizes the main enhancements in this update. We hope you enjoy using Qwen-Image-Edit-2509!