Qwen Image Edit Plus | Fast Image Editing API

Qwen-Image-Edit-Plus (20B, MMDiT)

A next-gen image editing model built on Qwen-Image 20B. It delivers precise bilingual (Chinese & English) text editing, supports both appearance-level and semantic-level edits, and preserves the original style.

Why choose this?

Dual-mode editing
Appearance editing: add/remove/modify elements while keeping all other regions pixel-accurate and unchanged.
Semantic editing: higher-level changes—IP creation, pose/rotation, style transfer—allow global pixel updates while keeping semantic intent.
Precise text editing (CN/EN) Edit on-image text directly (add/delete/replace) while retaining the original font, size, kerning, and style.
Style preservation Maintains palette, lighting, brushwork, and overall look even under substantial edits.
Strong benchmark results Evaluated across multiple public editing benchmarks with state-of-the-art performance.

Designed for

Design & Marketing teams – Rapid visual iterations, brand-safe edits, and multilingual comps.
E-commerce & Social – Clean product touch-ups, quick hero swaps, localized text.
Creators & Studios – Concepting, IP style moves, pose/angle changes without repainting.

Example prompts

Appearance (CN): 在桌面右上角添加一杯拿铁，不改变其他区域。
Semantic (EN): Turn the product into a cyberpunk style while keeping the brand logo and layout consistent.
Text edit (EN): Replace the headline "Summer Sale" with "Autumn Sale" and keep the same font and size.

Pricing

Just $0.02 per image !!!

How to use

Upload the source image.
Write the prompt (Chinese or English).
Generate — results arrive in moments.
Output Formats - JPG / PNG / WEBP
Review & iterate — keep the same seed for exact reproduction, or change it for A/B comparisons.

Note

If you did not upload the image locally, please ensure that the image URL is accessible! A successfully accessible image will display a preview in the interface.

Recommended Resolutions

Aspect Ratio	Exact (W×H)	Exact Pixels	Rounded (W×H, ÷64)	Rounded Pixels
1:1	1448 × 1448	2,096,704	1408 × 1408	1,982,464
3:2	1773 × 1182	2,095,686	1728 × 1152	1,990,656
4:3	1672 × 1254	2,096,688	1664 × 1216	2,023,424
16:9	1936 × 1089	2,108,304	1920 × 1088	2,088,960
21:9	2212 × 948	2,096,976	2176 × 960	2,088,960
1:1	1024 × 1024	1,048,576	1024 × 1024	1,048,576
3:2	1254 × 836	1,048,344	1216 × 832	1,011,712
4:3	1182 × 887	1,048,434	1152 × 896	1,032,192
16:9	1365 × 768	1,048,320	1344 × 768	1,032,192
21:9	1564 × 670	1,047,880	1536 × 640	983,040
1:1	323 × 323	104,329	320 × 320	102,400
3:2	397 × 264	104,808	384 × 256	98,304
4:3	374 × 280	104,720	448 × 320	143,360
16:9	432 × 243	104,976	448 × 256	114,688
21:9	495 × 212	104,940	576 × 256	147,456

Qwen Image Edit Plus API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen-image/edit-plus with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Qwen Image Edit Plus below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen-image/edit-plus" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "seed": -1,
    "output_format": "jpeg",
    "enable_base64_output": false,
    "enable_sync_mode": false
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("wavespeed-ai/qwen-image/edit-plus", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "seed": -1,
        "output_format": "jpeg",
        "enable_base64_output": false,
        "enable_sync_mode": false
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/qwen-image/edit-plus",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "seed": -1,
    "output_format": "jpeg",
    "enable_base64_output": false,
    "enable_sync_mode": false
}
)

print(output["outputs"][0])  # → URL of the generated output

Qwen Image Edit Plus API — Frequently asked questions

What is the Qwen Image Edit Plus API?

Qwen Image Edit Plus is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. Qwen-Image-Edit-Plus (2509) is a 20B MMDiT image editor with multi-image editing, single-image consistency and native ControlNet support. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Qwen Image Edit Plus API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/qwen-image-edit-plus.

How much does Qwen Image Edit Plus cost per run?

Qwen Image Edit Plus starts at $0.020 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Qwen Image Edit Plus accept?

Key inputs: `prompt`, `images`, `seed`, `enable_base64_output`, `enable_sync_mode`, `output_format`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/qwen-image-edit-plus.

How long does Qwen Image Edit Plus take to generate?

Average end-to-end generation time on WaveSpeedAI is around 8 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Qwen Image Edit Plus outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

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