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Fibo Reseason

bria /

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

image-to-image
Input

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preview

Idle

$0.04per run·~25 / $1

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README

Bria Fibo Reseason

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.

Why Choose This?

  • 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.

Parameters

ParameterRequiredDescription
imageYesOutdoor/landscape image to transform (URL or upload)
seasonYesTarget season: spring, summer, autumn, winter

Season Options

SeasonDescription
springFresh green foliage, blooming flowers, bright atmosphere
summerLush green leaves, warm lighting, vibrant colors
autumnGolden and red foliage, warm tones, falling leaves
winterSnow coverage, bare trees, cold blue tones

How to Use

  1. Upload your image — provide an outdoor or landscape photo.
  2. Select season — choose the target season you want.
  3. Run — submit and download your transformed image.

Pricing

OutputCost
Per image$0.04

Best Use Cases

  • Real Estate Marketing — Show properties in their best seasonal light.
  • Travel & Tourism — Display destinations across different seasons.
  • Creative Projects — Explore seasonal variations of landscapes.
  • Marketing Campaigns — Create season-specific promotional materials.
  • Film & Video — Pre-visualize scenes in different seasons.

Pro Tips

  • Works best with outdoor scenes featuring trees, landscapes, or natural elements.
  • Winter transformation adds snow — ideal for creating holiday-themed content.
  • Autumn transformation creates warm, golden tones perfect for cozy aesthetics.
  • Use high-quality source images for more realistic seasonal transformations.
  • Combine with Bria Fibo Relight to also adjust the lighting for maximum impact.

Notes

  • Both image and season are required fields.
  • Works best on outdoor scenes with visible vegetation or landscapes.
  • Indoor scenes or close-up portraits may not transform as expected.
  • Ensure uploaded image URLs are publicly accessible.

Related Models

Accessibility:This website uses AI models provided by third parties.

Fibo Reseason API — Quick start

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.

HTTP example
# 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].
Node.js example
// 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
Python example
# 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 output

Fibo Reseason API — Frequently asked questions

What is the Fibo Reseason API?

Fibo 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.

How do I call the Fibo Reseason API?

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.

How much does Fibo Reseason cost per run?

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.

What inputs does Fibo Reseason accept?

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.

How long does Fibo Reseason take to generate?

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.

Can I use Fibo Reseason outputs commercially?

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.