Qwen Image Edit 2511 | Fast Image Editing API

Qwen-Image-Edit-2511 (20B, MMDiT)

Qwen-Image-Edit-2511 is a high-consistency, production-grade image editing model built on the Qwen-Image 20B (MMDiT) architecture, delivering stronger real-world edits, better identity preservation, and more reliable multi-subject control than earlier releases. It’s designed for fast, prompt-driven edits with stable composition, clean details, and commercial-ready output quality.

What’s new in 2511

Stronger multi-person consistency Handles group photos and multi-subject scenes with better stability and fewer identity swaps.
Integrated popular community LoRA styles Built-in style options for common community aesthetics without extra setup (availability depends on the endpoint).
Better industrial & product editing Cleaner structure, surfaces, and product geometry for design mockups and marketing visuals.
Reduced drift across edits Improved identity and subject consistency when making iterative or larger edits.
Improved geometric reasoning More reliable structural transformations and shape-aware editing.

Core capabilities

Dual-mode editing
Appearance editing: add/remove/modify elements while keeping other regions visually consistent.
Semantic editing: global style/pose/scene transformations that preserve intent while allowing broader pixel changes.
Precise text editing (when applicable) Add, delete, or replace on-image text while keeping natural typography behavior (spacing, alignment, style).
Style preservation Maintains lighting, palette, and overall look while applying targeted changes.

Best for

Multi-person projects — group photos, team portraits, event shots
Industrial & product design — product mockups, packaging tweaks, commercial comps
Identity-preserving edits — portraits, characters, avatar refinement
Design & marketing teams — fast iterations, brand-safe edits, localization visuals
E-commerce & social — product cleanup, background updates, quick visual variations

Example prompts

Multi-person: Add a third person matching the existing lighting and camera angle.
Industrial: Convert this product into a clean technical blueprint view with construction lines.
Identity: Keep the person’s facial features unchanged and replace the background with a modern office.
Appearance: Add a latte cup in the top-right corner without changing anything else.
Semantic: Restyle the scene as cyberpunk while keeping the brand logo and layout consistent.

Parameters

Parameter	Description
prompt*	The edit instruction describing what to change and what to keep.
images*	Input images to edit or reference. Up to 3 images maximum (the first image is typically treated as the main base image).

How to use

Add your base image as the first item in images (you should see a preview in the UI).
Optionally add 1–2 more reference images (maximum 3 total) to guide style, subject details, or composition.
Write a clear prompt describing the edit and constraints (examples: “keep face unchanged”, “keep pose”, “keep background”).
Run the model and review the result.
Iterate by tightening constraints and making one major edit per run for best consistency.

Supported output formats typically include JPG / PNG / WEBP (as exposed by the endpoint).

Pricing

$0.03 per edited image

Note

If you’re using image URLs (instead of uploading locally), make sure they’re publicly accessible. If the URL is valid, the interface will display a preview before you run the job.

Related Models

Qwen Image Edit — AI Image Editing & Inpainting — Prompt-driven image editing for object removal, background replacement, and inpainting with fast iterations and strong instruction following.
Qwen Image Edit Plus — High-Fidelity Image Editing — Higher-quality image edits with cleaner edges, improved detail retention, and more stable results on complex scenes and textures.
Google Nano Banana Pro (Edit) — Photoreal Image Editor — High-fidelity image editing optimized for photoreal results, accurate text rendering, and composition-preserving transformations for professional creatives.

Qwen Image Edit 2511 API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen-image/edit-2511 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 2511 below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen-image/edit-2511" \
  -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-2511", {
        "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-2511",
    {
    "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 2511 API — Frequently asked questions

What is the Qwen Image Edit 2511 API?

Qwen Image Edit 2511 is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. Qwen Image Edit 2511 is a major upgrade over 2509 for real-world image editing and design. It delivers stronger edit consistency, robust multi-person identity/pose consistency, built-in LoRA styles, enhanced industrial/product design, and improved geometric reasoning for structure-preserving edits. Built for stable production use with a ready-to-use REST API, no cold starts, and predictable pricing. You can call it programmatically or try it from the playground above.

How do I call the Qwen Image Edit 2511 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-2511.

How much does Qwen Image Edit 2511 cost per run?

Qwen Image Edit 2511 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 2511 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-2511.

How long does Qwen Image Edit 2511 take to generate?

Average end-to-end generation time on WaveSpeedAI is around 12 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 2511 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.

ExamplesView all

Related Models

README

Qwen-Image-Edit-2511 (20B, MMDiT)

What’s new in 2511

Core capabilities

Best for

Example prompts

Parameters

How to use

Pricing

Note

Related Models

Qwen Image Edit 2511 API — Quick start

Qwen Image Edit 2511 API — Frequently asked questions