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Qwen Image Edit | 20B Image-To-Image Model With Bilingual Editing | WaveSpeedAI

wavespeed-ai/qwen-image/edit

Qwen-Image-Edit is a 20B MMDiT image-to-image model offering precise bilingual (Chinese & English) text edits while preserving style. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

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

preview
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 result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.

Idle

Change the background to daytime.

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 background to daytime.
Remove freckles from a woman's face.
Turn into comic style.
The girl walked in the rainy night, holding an umbrella.
Turn into Ghibli style.
The girl holds a bouquet of roses.
Remove the boy's hat.
Turn into pixel style.

README

Qwen-Image-Edit — 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.