Bria Fibo Restore
Playground
Try it on WavespeedAI!Bria Restore renews old photos by removing noise, scratches, and blur. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Features
Bria Fibo Restore
Bria Fibo Restore is an AI-powered photo restoration model that repairs and enhances old or damaged photographs. Upload your vintage photo and the model automatically fixes scratches, fading, noise, and other degradation — bringing old memories back to life.
Why Choose This?
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Automatic restoration Intelligently detects and repairs common photo damage without manual intervention.
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Scratch and damage repair Removes scratches, tears, creases, and other physical damage marks.
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Noise and grain reduction Cleans up film grain and digital noise while preserving detail.
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Fade correction Restores color vibrancy and contrast lost to age.
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Simple one-click workflow Just upload an image — no complex parameters needed.
Parameters
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Old or damaged photo to restore (URL or upload) |
How to Use
- Upload your image — provide the old or damaged photo you want to restore.
- Run — submit and download your restored image.
Pricing
| Output | Cost |
|---|---|
| Per image | $0.04 |
Best Use Cases
- Family Photo Restoration — Repair old family portraits and vintage snapshots.
- Historical Archives — Restore aged documents and historical photographs.
- Professional Restoration — Quickly process damaged photos for clients.
- Memory Preservation — Digitize and enhance old photo albums.
- Print Preparation — Clean up vintage photos for reprinting or framing.
Pro Tips
- Scan old photos at high resolution for best restoration results.
- Works well on both black-and-white and color vintage photos.
- Combine with Bria Fibo Colorize to add color to restored B&W photos.
- For severely damaged photos, results may vary — multiple processing may help.
- Ensure uploaded image URLs are publicly accessible.
Notes
- Only image is required — the model automatically detects and repairs damage.
- Works best on photos with typical age-related degradation (scratches, fading, noise).
- Extreme damage or missing portions may not be fully recoverable.
Related Models
- Bria Fibo Colorize — Add color to restored B&W photos.
- Bria Fibo Relight — Adjust lighting conditions on images.
- Bria Fibo Reseason — Change the season or weather of images.
- 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/restore" \
--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 restored. |
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 |