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Alibaba modelsimage generation api

alibaba/qwen-image-edit/plus/lora

Qwen Image Edit Plus Lora is Alibaba's intelligent image editing model. Transform, retouch, and reimagine existing images using text prompts - from background replacement to artistic style conversion.

Input
The prompt to generate the image with

PNG, JPEG, WebP, or GIF · 20 MiB maximum each

The URLs of the images to edit.
The format of the generated image. Allowed values: jpeg, png.
The LoRAs to use for the image generation. You can use up to 3 LoRAs and they will be merged together to generate the final image.
The aspect ratio of the generated image. Allowed values: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16.
The same seed and the same prompt given to the same version of the model will output the same image every time.
Idle

Example output — click Run to generate your own

API README

Qwen Image Edit Plus LoRA

Qwen Image Edit Plus LoRA is the Edit Plus route for instruction-driven image revision. It uses Qwen’s combined visual-semantic and appearance modeling to interpret subjects, relationships, typography, spatial structure, and surface detail as a connected composition, giving this exact route a clearer production purpose than a generic image request.

Use Qwen Image Edit Plus LoRA when the project specifically requires a controlled change to supplied imagery. State the creative goal, then define composition, viewpoint, wording, materials, lighting, and finish; for edits, explicitly separate the intended transformation from identity, layout, or regions that must remain stable.

Highlights

  • Edit Plus Semantic content editing. Changes object identity, scene meaning, viewpoint, or style through natural language.
  • Edit Plus Appearance-level revision. Modifies local color, texture, text, or material while preserving surrounding context.
  • Edit Plus Chinese and English text editing. Adds, removes, or replaces bilingual wording in designed imagery.
  • Edit Plus Source identity and layout preservation. Retains unrequested subjects, composition, and visual structure through revision. The configured adaptation adds task-specific learned behavior.

Pricing

ConfigurationBilling unitPrice
Base generationPer request$0.035

When to Use

✅ Good fit❌ Consider alternatives
The project needs this exact named workflowThe intended task belongs to another media route
All required reference or control media is availableNecessary assets or rights are unavailable
The brief can state transformation and preservation goalsOutput must be deterministic at pixel or frame level
Supported duration, resolution, and format fit deliveryFinal placement requires unsupported specifications
An asynchronous generated result fits productionA live frame-synchronous response is mandatory

Prompt Guide

Identify the primary subject and every source or condition, state the intended transformation or action, then describe composition, camera or viewpoint, lighting, materials, pacing, atmosphere, and exact preservation requirements. Refer to multiple inputs in their schema order.

{
  "prompt": "A precisely directed composition with explicit subject, transformation, camera or viewpoint, lighting, material, and preservation requirements",
  "seed": 1,
  "loras": [],
  "images": [
    "https://example.com/reference.png"
  ]
}

Technical Specs

SpecValue
Model IDalibaba/qwen-image-edit/plus/lora
Input fieldsseed (integer)<br>loras (array)<br>images (array)<br>prompt (string)<br>aspect_ratio (string; 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16)<br>output_format (string; jpeg, png)
Required inputprompt
Output fieldsurl, content_type
ExecutionAsynchronous job

Related Models

  • alibaba/qwen-image
  • alibaba/qwen-image/edit
  • alibaba/qwen-image/max

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