Bria Reseason changes the season or weather atmosphere of an image. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Idle

$0.04per run·~25 / $1

Bria Fibo Reseason is an AI-powered image transformation model that changes the season of any outdoor scene. Upload a landscape or outdoor photo and select a target season — the model intelligently transforms foliage, lighting, and atmosphere to match your chosen time of year.
Four season options Transform images to spring, summer, autumn, or winter.
Intelligent scene understanding AI recognizes trees, foliage, sky, and ground to apply realistic seasonal changes.
Natural transformations Adjusts colors, lighting, and atmosphere for believable results.
Simple workflow Just upload an image and select a season — instant transformation.
Versatile applications Perfect for real estate, marketing, and creative projects.
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Outdoor/landscape image to transform (URL or upload) |
| season | Yes | Target season: spring, summer, autumn, winter |
| Season | Description |
|---|---|
| spring | Fresh green foliage, blooming flowers, bright atmosphere |
| summer | Lush green leaves, warm lighting, vibrant colors |
| autumn | Golden and red foliage, warm tones, falling leaves |
| winter | Snow coverage, bare trees, cold blue tones |
| Output | Cost |
|---|---|
| Per image | $0.04 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bria/fibo/reseason 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 Reseason below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/bria/fibo/reseason" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"image": "https://example.com/your-input.jpg",
"season": "spring"
}'
# 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/reseason", {
"image": "https://example.com/your-input.jpg",
"season": "spring"
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"bria/fibo/reseason",
{
"image": "https://example.com/your-input.jpg",
"season": "spring"
}
)
print(output["outputs"][0]) # → URL of the generated outputFibo Reseason is a Bria model for image editing, exposed as a REST API on WaveSpeedAI. Bria Reseason changes the season or weather atmosphere of an image. 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-reseason.
Fibo Reseason 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: `image`, `season`. 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-reseason.
Average end-to-end generation time on WaveSpeedAI is around 42 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.