Bria Fibo Reseason
Playground
Try it 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.
Features
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
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Outdoor/landscape image to transform (URL or upload) |
| season | Yes | Target season: spring, summer, autumn, winter |
Season Options
| 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 |
How to Use
- Upload your image — provide an outdoor or landscape photo.
- Select season — choose the target season you want.
- Run — submit and download your transformed image.
Pricing
| Output | Cost |
|---|---|
| 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
- 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 Image Blend — Blend multiple images together.
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/reseason" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"season": "spring"
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${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 change season. | |
| season | string | Yes | spring | spring, summer, autumn, winter | The desired season to apply. |
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 |