Qwen Image Edit Plus LoRA | Custom LoRA Image API

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Qwen-Image-Edit-Plus (2509) is 20B MMDiT image-to-image editor supporting multi-image edits, single-image consistency, and native ControlNet. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

lora-support

Input

Enable Safety Checker

Idle

$0.025per run·~40 / $1

ExamplesView all

Turn the camera to a close-up.

chibi,simple art,bold stroke, full body, Based on the woman in Figure 2 and the man in Figure 1, generate a wedding photo set, following these descriptions: The groom wears a red Chinese-style tunic, and the bride wears an exquisite Xiuhe dress, with a golden phoenix coronet on her head. They stand side by side in front of an ancient vermilion palace wall, with carved wooden windows in the background. The lighting is bright and soft, the composition is symmetrical, and the atmosphere is festive and solemn.

The couple from Figure 1 are holding the doll from Figure 2 together.

The kitten raised one leg and pointed it at the screen with the text: I support WaveSpeedAI

Turn this photo into a character figure. Behind it, place a box with the character's image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it .set the scene indoors if possible.

Place the woman from Figure 1 into the background of Figure 2.

The man from Figure 1 and the woman from Figure 2 are hugging each other.

Generate a girl in a finger heart pose, using the line art from Figure 2 as a reference.

Put this air conditioner in the living room next to the sofa.

The girl in Figure 1 sits in the pose of Figure 3 wearing the black dress from Figure 2.

The girl in Figure 1 is sitting in the studio in Figure 2, speaking into the microphone.

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image-face-swap

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README

Qwen-Image-Edit-Plus-LoRA

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.

Pricing

Just $0.025 per image !!!

How to use

Enter a prompt (supports detailed narrative & embedded text).
Upload images. (Up to 3 images)
Set size (width & height, up to 1536×1536).
Add one or more LoRAs (Up to 3):

Paste the path/URL of the LoRA.safetensors file.
Adjust the scale (e.g., 0.5 for subtle effect, 1.0 for full strength).

(Optional) Set seed for reproducibility.
Choose output format (JPEG / PNG / WEBP).
Run → preview results → iterate with different LoRA scales.

How to use LoRA?

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.

Accessibility:This website uses AI models provided by third parties.

Qwen Image Edit Plus Lora API — Quick start

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

HTTP example

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

What is the Qwen Image Edit Plus Lora API?

Qwen Image Edit Plus Lora is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. Qwen-Image-Edit-Plus (2509) is 20B MMDiT image-to-image editor supporting multi-image edits, single-image consistency, and native ControlNet. 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 Lora 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-lora.

How much does Qwen Image Edit Plus Lora cost per run?

Qwen Image Edit Plus Lora starts at $0.025 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 Lora accept?

Key inputs: `prompt`, `images`, `size`, `seed`, `enable_base64_output`, `enable_sync_mode`. 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-lora.

How long does Qwen Image Edit Plus Lora take to generate?

Average end-to-end generation time on WaveSpeedAI is around 14 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 Lora 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.