Qwen Image Edit Plus LoRA

Qwen Image Edit Plus LoRA

Playground

Qwen-Image-Edit-Plus 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.

Features

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

1. Enter a prompt (supports detailed narrative & embedded text).
2. Upload images. (Up to 3 images)
3. Set size (width & height, up to 1536×1536).
4. 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).
5. (Optional) Set seed for reproducibility.
6. Choose output format (JPEG / PNG / WEBP).
7. Run → preview results → iterate with different LoRA scales.

How to use LoRA?

• Please refer to the following article: Use your 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.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen-image/edit-plus-lora" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "loras": [],
    "seed": -1,
    "output_format": "jpeg",
    "enable_base64_output": false,
    "enable_sync_mode": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"