Eraser | AI Background & Object Remover API

Bria Eraser

Bria Eraser removes selected regions from an image using a mask, then inpaints the missing areas with context-aware detail that matches lighting, perspective, and texture. Trained on licensed data for compliant commercial use across ads, product shots, portraits, and scene cleanup.

✨ Highlights

Precise control with masks — erase exactly what you mark; keep everything else untouched.
Context-aware fill — realistic inpainting that blends edges, light, and color.
Alpha-friendly pipeline — preserve transparency for instant compositing.
Flexible delivery — sync or async API, URL or BASE64 outputs.

🧩 Parameters (1:1 with the panel)

image* (required) Source image (URL or upload).
mask_image* (required) black = keep, white = move

🚀 How to Use

Upload/Paste image (required).
Upload/Paste mask_image (required). White regions will be removed and inpainted.
(Optional) Toggle preserve_alpha if you need transparent output for compositing.
Click Run to generate and download your cleaned image.

💰 Pricing

Per run: $0.04

🧠 Practical Tips

Mask quality matters: use soft brushes at edges (5–15 px feather) to avoid seams.
Iterate fast: keep settings, adjust only the mask for rapid alternatives.
Compositing: with preserve_alpha, drop directly over new backgrounds or graded plates.

Eraser API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bria/eraser 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 Eraser below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/bria/eraser" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "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/eraser", {
        "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/eraser",
    {
    "image": "https://example.com/your-input.jpg",
    "enable_sync_mode": false,
    "enable_base64_output": false
}
)

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

Eraser API — Frequently asked questions

What is the Eraser API?

Eraser is a Bria model for object / watermark removal, exposed as a REST API on WaveSpeedAI. Bria Eraser delivers SOTA object removal that preserves image quality. Trained on licensed data for safe 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 Eraser 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-eraser.

How much does Eraser cost per run?

Eraser 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 Eraser accept?

Key inputs: `image`, `enable_base64_output`, `enable_sync_mode`, `mask_image`. 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-eraser.

How long does Eraser take to generate?

Average end-to-end generation time on WaveSpeedAI is around 9 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Eraser 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.

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