Qwen-Image-Edit API, Deployment, Pricing

Qwen/Qwen-Image-Edit

Qwen-Image-Edit is the image editing version of Qwen-Image, released by Alibaba's Qwen team. Built upon the 20B Qwen-Image model, it has been further trained to extend its unique text rendering capabilities to image editing tasks, enabling precise text editing within images. Furthermore, Qwen-Image-Edit utilizes an innovative architecture that feeds the input image into both Qwen2.5-VL (for visual semantic control) and a VAE Encoder (for visual appearance control), achieving capabilities in both semantic and appearance editing. This allows it to support not only low-level visual appearance edits like adding, removing, or modifying elements, but also high-level visual semantic editing such as IP creation and style transfer, which require maintaining semantic consistency. The model has achieved state-of-the-art (SOTA) performance on multiple public benchmarks, establishing it as a powerful foundation model for image editing

API Usage

cURL

Python

JavaScript

curl --request POST \
  --url https://api.siliconflow.com/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "batch_size": 1,
  "num_inference_steps": 20,
  "guidance_scale": 7.5,
  "model": "Qwen/Qwen-Image-Edit",
  "prompt": "an island near sea, with seagulls, moon shining over the sea, light house, boats int he background, fish flying over the sea",
  "image": "data:image/png;base64, XXX"
}'

Details

Model Provider

Qwen

Type

image

Sub Type

image-to-image

Publish Time

Sep 18, 2025

Price

undefined

/ Image

Tags

MoE,235B,128K

Open in Playround

API Reference

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