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Alibaba modelsimage generation api

alibaba/qwen-image-edit-2509-lora-gallery/remove-element

Qwen Image Edit 2509 Lora Gallery Remove Element by Alibaba - AI-powered image editing, style transfer, and transformation. Edit photos with natural language instructions, remove backgrounds, change styles, and enhance i...

Input
Specify what element(s) to remove from the image (objects, people, text, etc.). The model will cleanly remove the element while maintaining consistency of the rest of the image.

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

The URL of the image containing elements to remove.
020
The CFG (Classifier Free Guidance) scale. Controls how closely the model follows the prompt. Range: 0 to 20.
250
The number of inference steps to perform. Range: 2 to 50.
The format of the output image Allowed values: png, jpeg.
04
The scale factor for the LoRA model. Controls the strength of the LoRA effect. Range: 0 to 4.
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.
Random seed for reproducibility. Same seed with same prompt will produce same result.
Idle

Example output — click Run to generate your own

API README

Qwen Image Edit 2509 Lora Gallery

Qwen Image Edit 2509 Lora Gallery is the 2509 route for remove element. 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 2509 Lora Gallery when the project specifically requires remove element. 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

  • 2509 Semantic object removal. Understands which named subject should disappear rather than erasing arbitrary pixels.
  • 2509 Contextual background recovery. Reconstructs plausible content hidden behind the removed element.
  • 2509 Fine-edge reconstruction. Repairs texture, perspective, and illumination around difficult boundaries.
  • 2509 Untouched-region preservation. Keeps unrelated content connected to the original source. 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 an existing image needs a controlled revisionThe intended task belongs to a different media workflow
The available inputs match every required local fieldRequired source material or usage permission is unavailable
Creative direction can identify subject, style, and deliveryThe output must be deterministic at pixel or waveform level
The supported route controls fit the final placementDelivery requires unsupported formats or dimensions
An asynchronous generated result fits productionA live or frame-synchronous response is mandatory

Prompt Guide

Write the request as a production brief. Identify the subject or source, state the intended result, describe composition and visual or vocal character, then list exact preservation and delivery constraints. For edits, explicitly separate what must change from what must remain unchanged.

{
  "prompt": "Remove the specified element from the scene",
  "seed": 1,
  "images": [
    "https://example.com/reference.jpg"
  ],
  "lora_scale": 1
}

Technical Specs

SpecValue
Model IDalibaba/qwen-image-edit-2509-lora-gallery/remove-element
Input fieldsseed (integer)<br>images (array)<br>prompt (string)<br>lora_scale (number; 0–4)<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; png, jpeg)<br>guidance_scale (number; 0–20)<br>num_inference_steps (integer; 2–50)
Required inputprompt
Output fieldsurl, content_type
ExecutionAsynchronous job

Related Models

  • alibaba/qwen-image-2
  • alibaba/qwen-image-2/edit
  • alibaba/qwen-image-2/pro

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