Bria Product Holding API Documentation

Bria Product Holding API Documentation

Playground

Bria Product Holding places products naturally in a person’s hands using a person photo, one to three product reference images, and optional text instructions, making it suitable for product advertising, e-commerce visuals, influencer-style content, and marketing workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Bria Product Holding places referenced products naturally into a person’s hands using a person photo, one to three product reference images, and optional text instructions. It is designed for product presentation, lifestyle advertising, and e-commerce workflows where a person needs to hold or interact with a supplied product.

Why Choose This?

• Purpose-built editing
  Create natural product-holding images from person and product references.

• Multi-reference support
  Combine one person photo with one to three product reference images.

• Optional prompt guidance
  Images alone are sufficient. Add a prompt only when you want to direct a specific edit.

• Original framing by default
  Omit aspect_ratio to retain the person photo’s aspect ratio.

• Standard image output
  Receive a PNG or JPEG image URL in the standard WaveSpeed prediction response.

Parameters

How to Use

1. Upload a person photo - Provide the base person image in image.
2. Add reference images - Supply one to three product images in reference_images.
3. Guide the edit optionally - Add a concise prompt for placement or styling details.
4. Choose output settings - Optionally set the aspect ratio, output format, and seed.
5. Submit - Poll the prediction result and retrieve the generated image URL.

Pricing

Pricing is fixed at $0.04 per generated image. Each successful request returns one image.

One to three reference images are included at the same price. prompt, aspect_ratio, output_format, and seed do not add separate charges.

Best Use Cases

• E-commerce lifestyle images
• Handheld product campaigns
• Packaging and companion-item compositions

Pro Tips

• Use a clear person photo with the relevant body area visible.
• Show the product clearly, including logos and packaging details. Use the prompt to specify the hand, orientation, or placement.
• Leave aspect_ratio unset when you want to preserve the original framing.
• Keep all input image URLs publicly accessible while the request is processing.
• Use a fixed seed when comparing prompt changes.

Notes

• image and reference_images are required; prompt is optional.
• The limit is one person photo plus one to three reference images, for two to four images in total.

Related Models

• Bria Virtual Try-On — Apply garment or accessory references to an existing person photo for virtual try-on workflows.
• Bria Product Holding — Generate images of a person naturally holding or presenting a referenced product.

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",
  "reference_images": [
    "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
  ],
  "aspect_ratio": "1:1",
  "output_format": "png"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/bria/product-holding" \
  -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 "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"

# 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|deleted) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters