API reference · Alibaba

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

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

IMAGEAsyncOpen model

Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDalibaba/qwen-image-edit-plus-lora-gallery/remove-element

Input Schema

8 parameters · 1 required · 7 optional

Parameter	Type	Required	Description
`prompt`	string	Required	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. · Default: "Remove the specified element from the scene"
`seed`	integer	Optional	Random seed for reproducibility. Same seed with same prompt will produce same result.
`images`	string[]	Optional	The URL of the image containing elements to remove.
`lora_scale`	number	Optional	The scale factor for the LoRA model. Controls the strength of the LoRA effect. · Min: 0 · Max: 4 · Default: 1
`aspect_ratio`	string	Optional	The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 21:916:93:24:35:41:14:53:42:39:16
`output_format`	string	Optional	The format of the output image · Options: png, jpeg · Default: "png" pngjpeg
`guidance_scale`	number	Optional	The CFG (Classifier Free Guidance) scale. Controls how closely the model follows the prompt. · Min: 0 · Max: 20 · Default: 1
`num_inference_steps`	integer	Optional	The number of inference steps to perform. · Min: 2 · Max: 50 · Default: 6

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

Submit — POST to /v1/run, receive an id
Poll — GET /v1/run/{id} until status is completed, failed, or timeout
Retrieve — Read outputs from the completed response

Code Examples

Ready-to-run snippets

const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/run", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "alibaba/qwen-image-edit-plus-lora-gallery/remove-element",
    "images": [
      "https://static.sandbase.ai/examples/alibaba/qwen-image-edit-plus-lora-gallery/remove-element/input_images_0.png"
    ],
    "prompt": "Remove the person from the image",
    "lora_scale": 1,
    "output_format": "png",
    "guidance_scale": 1,
    "num_inference_steps": 6
  }),
});

if (!response.ok) throw new Error(await response.text());
let result = await response.json();
for (let attempt = 0; attempt < 120 && !["completed", "failed", "timeout"].includes(result.status); attempt++) {
  await new Promise((resolve) => setTimeout(resolve, 2_000));
  const poll = await fetch(`https://api.sandbase.ai/v1/run/${result.id}`, {
    headers: { Authorization: `Bearer ${apiKey}` },
  });
  if (!poll.ok) throw new Error(await poll.text());
  result = await poll.json();
}
if (result.status !== "completed") throw new Error(`Generation ended: ${result.status}`);
console.log(result);

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