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wavespeed-ai/qwen-image/edit-plus

Qwen-Image-Edit-Plus — a 20B MMDiT model for next-gen image edit generation. Built on 20B Qwen-Image, it brings precise bilingual text editing (Chinese & English) while preserving style, and supports both semantic and appearance-level editing.

Doc

Hint: You can drag and drop a file or click to upload

If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.
If set to true, the function will wait for the image to be generated and uploaded before returning the response. It allows you to get the image directly in the response. This property is only available through the API.

Idle

Your request will cost $0.02 per run.

For $1 you can run this model approximately 50 times.

One more thing:

ExamplesView all

change the cloth to blue and make the hair to brown
change the hair color in to black
change the cloth to t shirt, with a cool picture on the t shirt instead of a letter t
change the short hair to long brown hair
change the cloth to t shirt, with a sentence 'Wave SpeedAI' on the t shirt
change the cloth color into orange
将北极熊改成企鹅
change the suit in to coat
change the cloth color into blue
change the background into a dancing stage

README

Qwen-Image-Edit-Plus — a 20B MMDiT model for next-gen image edit generation. Built on 20B Qwen-Image, it brings precise bilingual text editing (Chinese & English) while preserving style, and supports both semantic and appearance-level editing.

**Key Features:

  • Semantic and Appearance Editing: Qwen-Image-Edit supports both low-level visual appearance editing (such as adding, removing, or modifying elements, requiring all other regions of the image to remain completely unchanged) and high-level visual semantic editing (such as IP creation, object rotation, and style transfer, allowing overall pixel changes while maintaining semantic consistency).

  • Precise Text Editing: Qwen-Image-Edit supports bilingual (Chinese and English) text editing, allowing direct addition, deletion, and modification of text in images while preserving the original font, size, and style.

  • Strong Benchmark Performance: Evaluations on multiple public benchmarks demonstrate that Qwen-Image-Edit achieves state-of-the-art (SOTA) performance in image editing tasks, establishing it as a powerful foundation model for image editing.