Qwen Image Edit Plus LoRA

Qwen Image Edit Plus LoRA

Playground

Qwen-Image-Edit-Plus — a 20B MMDiT model for next-gen image edit generation with improved multi-image editing, single-image consistency, and native support for ControlNet.

Features

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.

What 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

1. Upload the source image.
2. Write the prompt (Chinese or English).
3. Generate — results arrive in moments.
4. Review & iterate — keep the same seed for exact reproduction, or change it for A/B comparisons.

# 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}"