Bria Fibo Image Blend
Playground
Try it on WavespeedAI!Bria Image Blend merges objects, applies textures, or rearranges items within an image using natural language. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Features
Bria Fibo Image Blend
Bria Fibo Image Blend is an AI-powered image blending model that seamlessly combines multiple elements within an image based on text instructions. Upload your composite image and describe how you want elements blended — the model intelligently merges them for natural, cohesive results.
Why Choose This?
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Text-guided blending Use natural language to describe exactly how elements should be combined.
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Seamless integration AI understands context to blend elements naturally without visible seams.
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Preserve original elements Keep specific parts unchanged while blending others.
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Prompt Enhancer Built-in tool to automatically improve your blending instructions.
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Creative flexibility Perfect for product mockups, composites, and creative projects.
Parameters
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Source image with elements to blend (URL or upload) |
| prompt | Yes | Text instruction describing how to blend the elements |
How to Use
- Upload your image — provide an image with the elements you want to blend.
- Write your prompt — describe how the elements should be combined.
- Run — submit and download your blended image.
Pricing
| Output | Cost |
|---|---|
| Per image | $0.04 |
Best Use Cases
- Product Mockups — Place artwork or designs onto clothing, products, or surfaces.
- Composite Creation — Merge multiple image elements into a cohesive scene.
- Design Visualization — Preview how designs look on real-world objects.
- Marketing Materials — Create product shots with custom graphics or branding.
- Creative Projects — Experiment with artistic image combinations.
Pro Tips
- Be specific about what to keep unchanged (e.g., “keep the art exactly the same”).
- Use the Prompt Enhancer to refine your blending instructions.
- For product mockups, clearly specify where the design should be placed.
- Upload high-quality images for best blending results.
- Describe the desired relationship between elements for more precise control.
Notes
- Both image and prompt are required fields.
- Ensure uploaded image URLs are publicly accessible.
- Works best when elements to be blended are clearly visible in the source image.
Related Models
- Bria Fibo Colorize — Apply color styles and colorize B&W images.
- Bria Fibo Relight — Adjust lighting conditions on images.
- Bria Fibo Restore — Restore and enhance old or damaged photos.
- Bria Fibo Reseason — Change the season or weather of images.
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/fibo/image-blend" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | The source image to be blended. | |
| prompt | string | Yes | - | Free-text command describing the blend operation. |
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. |
| 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 |