Qwen Image Edit 2511 LoRA | Custom LoRA Image API

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

Qwen-Image-Edit-2511-LoRA is an enhanced version of Qwen-Image-Edit-2511 with custom LoRA support, enabling personalized style transfer and character-consistent editing. Built on the Qwen-Image 20B (MMDiT) architecture, it delivers all the benefits of 2511 plus the flexibility to apply custom-trained LoRA models for unique artistic styles, brand consistency, or character preservation.

What's new in 2511-LoRA

Custom LoRA support Apply your own trained LoRA models or community LoRAs for personalized styles, characters, or brand aesthetics.
Multi-LoRA blending Combine multiple LoRAs with individual weight control for complex style combinations.
All 2511 improvements included

Stronger multi-person consistency
Better industrial & product editing
Reduced drift across edits
Improved geometric reasoning

Core capabilities

Custom style transfer Apply trained LoRA models to maintain consistent artistic style, character appearance, or brand identity across edits.
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

Character-consistent projects — maintain character appearance across multiple edits
Brand & marketing — apply brand-specific styles consistently
Artistic workflows — use custom artistic styles with LoRA models
Multi-person projects — group photos, team portraits, event shots
Industrial & product design — product mockups with custom brand styles
Identity-preserving edits — portraits, characters, avatar refinement with style control

Example prompts

Custom style: Add a sunset background while maintaining the anime style from my LoRA.
Multi-person: Add a third person matching the existing lighting and apply my character LoRA.
Product design: Convert this product to match my brand style guide (using brand LoRA).
Character consistency: Keep the character's appearance from my trained LoRA and change the background to a futuristic city.

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).
loras	Array of LoRA models to apply. Each LoRA object contains path (URL/path to LoRA file) and optional scale (weight 0-2, default 1.0).

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.
(Optional) Add LoRA models by providing the path/URL and weight for each LoRA you want to apply.
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 adjusting LoRA weights or tightening constraints for best consistency.

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

LoRA Usage Tips

Start with lower weights (0.5-0.8) and increase gradually for subtle style application
Combine multiple LoRAs for complex effects, but keep total weight under 2.0 for stability
Use publicly accessible URLs for LoRA files (or platform-supported paths)
Test LoRAs individually before combining to understand their effects

Pricing

$0.025 per edited image (with LoRA support)

Note

If you're using image URLs or LoRA 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 2511 — Multi-Person Image Editing — Base version without LoRA support, optimized for fast multi-person and industrial editing.
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.

Reference

Qwen Image Edit 2511 Lora API — Quick start

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

HTTP example

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

What is the Qwen Image Edit 2511 Lora API?

Qwen Image Edit 2511 Lora is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. Qwen Image Edit 2511 LoRA is an enhanced version with custom LoRA support for personalized styles. It delivers stronger edit consistency, robust multi-person identity/pose consistency, custom 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 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-2511-lora.

How much does Qwen Image Edit 2511 Lora cost per run?

Qwen Image Edit 2511 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 2511 Lora accept?

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

How long does Qwen Image Edit 2511 Lora 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 2511 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.

ExamplesView all

Related Models

README

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

What's new in 2511-LoRA

Core capabilities

Best for

Example prompts

Parameters

How to use

LoRA Usage Tips

Pricing

Note

Related Models

Reference

Qwen Image Edit 2511 Lora API — Quick start

Qwen Image Edit 2511 Lora API — Frequently asked questions