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
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
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/bria/embed-product" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"products": [
{}
],
"enable_sync_mode": false,
"enable_base64_output": false
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | TURL of the image. | |
| products | array | Yes | [{}] | - | This is a controlnet that controls the maximum size of the generated model. |
| seed | integer | No | - | -1 ~ 2147483647 | Seed for random number generator. Set to -1 to use a random seed. |
| enable_sync_mode | boolean | No | false | - | 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. |
| enable_base64_output | boolean | No | false | - | If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API. |
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 | Array of URLs to the generated content (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.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| 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, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (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 |