Bria Remove Background

Bria Remove Background

Playground

Bria remove-background is a powerful AI image background removal API that produces clean, precise cutouts for photos and graphics. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Bria Remove Background extracts clean subjects from images with a high-quality alpha matte. It’s fast, consistent, and production-ready for e-commerce listings, ad creatives, social posts, and compositing. The model is trained on licensed data, supporting safe, compliant commercial use.

Highlights

• Clean cutouts with detailed edges (hair, fur, semi-transparent areas).
• Alpha workflow: preserve or drop the alpha channel to match your pipeline.

Parameters

• image* (required) Source image (URL or upload). Missing image will fail.

• preserve_alpha (checkbox) Keep the alpha channel in the returned asset for immediate compositing.

Pricing

• Per run: $0.018

How to Use

1. Upload/Paste image (required).
2. Toggle preserve_alpha if you need a premultiplied cutout for direct compositing.
3. Click Run to generate your cutout and download the result.

Output & Workflow Tips

• Post background: Place the cutout over solid color, gradient, or generated scenes (e.g., with Bria Background Generation).
• Edge finesse: For extremely fine hair or translucent fabric, a light feather/refine-edge pass can achieve pixel-perfect results.
• Consistent catalogs: Use identical lighting shots and batch the same settings for uniform store pages.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/bria/remove-background" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters