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.
Idle

$0.04per run·~25 / $1

Place the art on the shirt, keep the art exactly the same
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.
Text-guided blending Use natural language to describe exactly how elements should be combined.
Seamless integration AI understands context to blend elements naturally without visible seams.
Preserve original elements Keep specific parts unchanged while blending others.
Prompt Enhancer Built-in tool to automatically improve your blending instructions.
Creative flexibility Perfect for product mockups, composites, and creative projects.
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Source image with elements to blend (URL or upload) |
| prompt | Yes | Text instruction describing how to blend the elements |
| Output | Cost |
|---|---|
| Per image | $0.04 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bria/fibo/image-blend with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Fibo Image Blend below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/bria/fibo/image-blend" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg"
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("bria/fibo/image-blend", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg"
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"bria/fibo/image-blend",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg"
}
)
print(output["outputs"][0]) # → URL of the generated outputFibo Image Blend is a Bria model for image editing, exposed as a REST API 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. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/bria/bria-fibo-image-blend.
Fibo Image Blend starts at $0.040 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `image`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/bria/bria-fibo-image-blend.
Average end-to-end generation time on WaveSpeedAI is around 41 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (Bria). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.