Qwen-Image-Edit-2509-White_to_Scene - Remove white background and add realistic scenes
This endpoint removes the white background from products/objects and adds a realistic scene by:
Perfect for:
Works best with: Objects or products on clean white backgrounds
Based on: https://huggingface.co/dx8152/Qwen-Image-Edit-2509-White_to_Scene
The client provides a convenient way to interact with the model API.
npm install --save @fal-ai/clientSet FAL_KEY as an environment variable in your runtime.
export FAL_KEY="YOUR_API_KEY"The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.
import { fal } from "@fal-ai/client";
const result = await fal.subscribe("fal-ai/qwen-image-edit-plus-lora-gallery/add-background", {
input: {
image_urls: ["https://v3b.fal.media/files/b/rabbit/YN3dXLQBWb2ch6V607Uuc_d808599bb92f4c808502a118697bdc1f.png"]
},
logs: true,
onQueueUpdate: (update) => {
if (update.status === "IN_PROGRESS") {
update.logs.map((log) => log.message).forEach(console.log);
}
},
});
console.log(result.data);
console.log(result.requestId);The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.
import { fal } from "@fal-ai/client";
fal.config({
credentials: "YOUR_FAL_KEY"
});The client API provides a convenient way to submit requests to the model.
import { fal } from "@fal-ai/client";
const { request_id } = await fal.queue.submit("fal-ai/qwen-image-edit-plus-lora-gallery/add-background", {
input: {
image_urls: ["https://v3b.fal.media/files/b/rabbit/YN3dXLQBWb2ch6V607Uuc_d808599bb92f4c808502a118697bdc1f.png"]
},
webhookUrl: "https://optional.webhook.url/for/results",
});You can fetch the status of a request to check if it is completed or still in progress.
import { fal } from "@fal-ai/client";
const status = await fal.queue.status("fal-ai/qwen-image-edit-plus-lora-gallery/add-background", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
logs: true,
});Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.
import { fal } from "@fal-ai/client";
const result = await fal.queue.result("fal-ai/qwen-image-edit-plus-lora-gallery/add-background", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.
You can pass a Base64 data URI as a file input. The API will handle the file decoding for you. Keep in mind that for large files, this alternative although convenient can impact the request performance.
You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.
We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.
import { fal } from "@fal-ai/client";
const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);Read more about file handling in our file upload guide.
The URLs of the images to edit. Provide an image with a white or clean background.
The size of the generated image. If not provided, the size of the final input image will be used.
Possible enum values: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9
Note: For custom image sizes, you can pass the width and height as an object:
"image_size": {
"width": 1280,
"height": 720
}guidance_scale floatThe CFG (Classifier Free Guidance) scale. Controls how closely the model follows the prompt. Default value: 1
num_inference_steps integerThe number of inference steps to perform. Default value: 6
acceleration AccelerationEnumAcceleration level for image generation. 'regular' balances speed and quality. Default value: "regular"
Possible enum values: none, regular
negative_prompt stringThe negative prompt for the generation Default value: " "
seed integerRandom seed for reproducibility. Same seed with same prompt will produce same result.
sync_mode booleanIf True, the media will be returned as a data URI and won't be saved in history.
enable_safety_checker booleanWhether to enable the safety checker for the generated image. Disabling it requires account authorization; unauthorized requests are always checked. Default value: true
output_format OutputFormatEnumThe format of the output image Default value: "png"
Possible enum values: png, jpeg, webp
num_images integerNumber of images to generate Default value: 1
prompt stringDescribe the background/scene you want to add behind the object. The model will remove the white background and add the specified environment. Default value: "Remove white background and add a realistic scene behind the object"
lora_scale floatThe scale factor for the LoRA model. Controls the strength of the LoRA effect. Default value: 1
{
"image_urls": [
"https://v3b.fal.media/files/b/rabbit/YN3dXLQBWb2ch6V607Uuc_d808599bb92f4c808502a118697bdc1f.png"
],
"guidance_scale": 1,
"num_inference_steps": 6,
"acceleration": "regular",
"negative_prompt": " ",
"enable_safety_checker": true,
"output_format": "png",
"num_images": 1,
"prompt": "Add an outdoor scene with mountains and road behind the car",
"lora_scale": 1
}The generated/edited images
seed integer* requiredThe seed used for generation
{
"images": [
{
"url": "https://v3b.fal.media/files/b/lion/d_xp44RvnuYYxioxBgAlX.png"
}
]
}width integerThe width of the generated image. Default value: 512
height integerThe height of the generated image. Default value: 512
url string* requiredThe URL where the file can be downloaded from.
content_type stringThe mime type of the file.
file_name stringThe name of the file. It will be auto-generated if not provided.
file_size integerThe size of the file in bytes.
width integerThe width of the image in pixels.
height integerThe height of the image in pixels.