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Generate Background

bria /

Swap image backgrounds using text or reference images; realistic results. Trained on licensed data for risk-free commercial use. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-image
Input

Drag & drop करें या upload के लिए click करें

preview
If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.
If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.

Idle

grassy park with flowers, bright natural sunlight, detailed grass and flowers, smooth integration with dog, realistic photo style.

$0.04per run·~25 / $1

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ExamplesView all

grassy park with flowers, bright natural sunlight, detailed grass and flowers, smooth integration with dog, realistic photo style.

grassy park with flowers, bright natural sunlight, detailed grass and flowers, smooth integration with dog, realistic photo style.

Forest park with a lake and trees, soft natural lighting, reflections of blue sky and greenery on the water surface, realistic photo style.

Forest park with a lake and trees, soft natural lighting, reflections of blue sky and greenery on the water surface, realistic photo style.

cozy indoor living room, soft furniture textures, warm natural light, seamless integration with cat, realistic photo style

cozy indoor living room, soft furniture textures, warm natural light, seamless integration with cat, realistic photo style

tropical jungle, vibrant foliage, dappled sunlight, detailed leaves, realistic integration, high-resolution photo style.

tropical jungle, vibrant foliage, dappled sunlight, detailed leaves, realistic integration, high-resolution photo style.

snowy mountain landscape, clear sky, detailed snow textures, soft shadows, seamless integration with subject, realistic photo style.

snowy mountain landscape, clear sky, detailed snow textures, soft shadows, seamless integration with subject, realistic photo style.

Bright energy blasts illuminate the smoky, vibrant sky. Distant mountains or futuristic city structures are in the background, all rendered in an epic anime art style.

Bright energy blasts illuminate the smoky, vibrant sky. Distant mountains or futuristic city structures are in the background, all rendered in an epic anime art style.

urban city street at dusk, detailed buildings, warm street lights, soft shadows, realistic integration, high-resolution photo style.

urban city street at dusk, detailed buildings, warm street lights, soft shadows, realistic integration, high-resolution photo style.

tropical beach at sunset, soft waves, golden sand, warm natural light, seamless integration with subject, realistic photo style.

tropical beach at sunset, soft waves, golden sand, warm natural light, seamless integration with subject, realistic photo style.

Related Models

README

Bria Background Generation

Bria Background Generation replaces or generates realistic backgrounds from a text prompt or a reference image while preserving the foreground subject. It’s trained exclusively on licensed data for safe, low-risk commercial use across ads, e-commerce, social, portraits, and product photos.

✨ Highlights

  • Dual input: drive backgrounds by prompt or match style/composition with a reference image.
  • Subject preservation: clean edges and minimal color bleed around people and products.
  • Style range: photorealistic, illustration, anime—swap backgrounds without touching the subject.
  • Production-ready: predictable results that slot into real design pipelines.
  • Licensed training data: built for compliant commercial deployment.

🧩 Parameters

  • image* (required) Foreground/subject image (URL or upload). Missing image will fail.

  • prompt* (required) Background description only (scene, lighting, style, materials, mood). Example: “Epic anime city at night, neon signs, volumetric fog, blue-purple rim light.”

🚀 How to Use

  1. Provide image (required) — a clear, unobstructed subject works best.
  2. Write prompt (required) — describe the background only: environment, lighting, style.
  3. Click Run (e.g., $0.04) and download the generated image.
  4. Keep the same image and tweak the prompt to iterate styles while preserving composition.

💰 Pricing

  • Per job $0.04

🧠 Prompting Tips (background-focused)

  • Separate roles: keep the subject in the image; keep the background in the prompt.
  • Lead with light: phrases like golden hour, studio softbox, neon backlight, volumetric fog quickly lift realism.
  • Style anchors: add photorealistic, cinematic, anime, watercolor, or minimalist to control look.
  • Materials & space: e.g., concrete rooftop, wet asphalt, marble lobby, skylight, depth of field.
  • Consistent campaigns: reuse the same image and a prompt template; adjust color/weather for quick variants.
Accessibility:This website uses AI models provided by third parties.

Generate Background API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bria/generate-background with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Generate Background below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/bria/generate-background" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "image": "https://example.com/your-input.jpg",
    "enable_sync_mode": false,
    "enable_base64_output": false
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].
Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("bria/generate-background", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "image": "https://example.com/your-input.jpg",
        "enable_sync_mode": false,
        "enable_base64_output": false
});

console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "bria/generate-background",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "image": "https://example.com/your-input.jpg",
    "enable_sync_mode": false,
    "enable_base64_output": false
}
)

print(output["outputs"][0])  # → URL of the generated output

Generate Background API — Frequently asked questions

What is the Generate Background API?

Generate Background is a Bria model for image editing, exposed as a REST API on WaveSpeedAI. Swap image backgrounds using text or reference images; realistic results. Trained on licensed data for risk-free commercial use. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Generate Background API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/bria/bria-generate-background.

How much does Generate Background cost per run?

Generate Background starts at $0.040 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Generate Background accept?

Key inputs: `prompt`, `image`, `enable_base64_output`, `enable_sync_mode`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/bria/bria-generate-background.

How long does Generate Background take to generate?

Average end-to-end generation time on WaveSpeedAI is around 17 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Generate Background outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Bria). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.