Bria Embed Product
Playground
Try it on WaveSpeedAI!Bria Embed Product seamlessly integrates product images into scene backgrounds with natural lighting and perspective matching. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Bria Embed Product seamlessly embeds product images into background scenes with precise positioning control. Upload a background image and one or more product images with exact placement coordinates — the model intelligently blends products into the scene with natural lighting, shadows, and perspective.
Why Choose This?
-
Precise positioning Specify exact X, Y coordinates and dimensions for pixel-perfect product placement.
-
Multi-product support Embed multiple products into a single scene with individual positioning for each.
-
Intelligent blending Automatically adapts lighting, shadows, and perspective for realistic integration.
-
Simple workflow Define position and size — the model handles the compositing automatically.
Parameters
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Background image (URL or upload) |
| products | Yes | List of products to embed (click ”+ Add Item” to add more) |
| → image | Yes | Product image (URL or upload) |
| → x | Yes | X coordinate for product placement (pixels) |
| → y | Yes | Y coordinate for product placement (pixels) |
| → width | Yes | Product width in the output (pixels) |
| → height | Yes | Product height in the output (pixels) |
| seed | No | Random seed for reproducibility |
| enable_sync_mode | No | Wait for result in response (API only) |
| enable_base64_output | No | Return base64 instead of URL (API only) |
How to Use
- Upload background image — provide the scene where products will be placed.
- Add products — for each product:
- Upload the product image
- Set X and Y coordinates for placement position
- Set width and height for product size
- Add more products (optional) — click ”+ Add Item” to embed additional products.
- Set seed (optional) — for reproducible results.
- Run — submit and download your composite image.
Pricing
| Output | Cost |
|---|---|
| Per image | $0.04 |
Best Use Cases
- E-commerce — Place products in lifestyle scenes for catalog and marketing images.
- Interior Design — Visualize furniture and decor in room settings.
- Advertising — Create product placement visuals for campaigns.
- Virtual Staging — Add products to empty spaces for real estate or retail.
- Product Photography — Composite products into professional backgrounds without physical shoots.
Pro Tips
- Use transparent PNG product images for best blending results.
- Coordinate values (x, y) define the top-left corner of the product placement.
- Match product size (width, height) to the perspective of the background scene.
- For multiple products, consider their relative positions and overlap.
- Use a consistent seed to iterate on placement while maintaining the same blending style.
Notes
- Both image (background) and products are required fields.
- Each product requires image, x, y, width, and height values.
- Coordinates are in pixels relative to the background image.
- Ensure uploaded image URLs are publicly accessible.
Related Models
- FireRed Image Edit — Multi-image editing and composition.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"products": [
{
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"x": 1,
"y": 1,
"width": 1,
"height": 1
}
]
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/bria/embed-product" \
-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
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | TURL of the image. | |
| products | array<object> | Yes | - | 1 ~ unlimited items | This is a controlnet that controls the maximum size of the generated model. |
| seed | integer | No | - | - | Seed for random number generator. Set to -1 to use a random seed. |
| enable_sync_mode | boolean | No | false | - | If set to `true`, the request attempts to wait for the generated result and return outputs in the same response. If the result is not ready within the sync wait window, the API can return a timeout body while the task continues processing. This option is only available via the API and is supported only by some models. |
| enable_base64_output | boolean | No | false | - | If set to `true`, the prediction's `output` strings are returned as **naked base64** (no `data:<mime>;base64,` prefix). When `false` (default), outputs are returned as URLs pointing to our CDN. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |