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 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?
-
Automatic restoration Intelligently detects and repairs common photo damage without manual intervention.
-
Scratch and damage repair Removes scratches, tears, creases, and other physical damage marks.
-
Noise and grain reduction Cleans up film grain and digital noise while preserving detail.
-
Fade correction Restores color vibrancy and contrast lost to age.
-
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 | $0.04 |
Best Use Cases
- Family Photo Restoration — Repair old family portraits and vintage snapshots.
- Historical Archives — Restore aged documents and historical photographs.
- Professional Restoration — Quickly process damaged photos for clients.
- Memory Preservation — Digitize and enhance old photo albums.
- Print Preparation — Clean up vintage photos for reprinting or framing.
Pro Tips
- Scan old photos at high resolution for best restoration results.
- Works well on both black-and-white and color vintage photos.
- Combine with Bria Fibo Colorize to add color to restored B&W photos.
- For severely damaged photos, results may vary — multiple processing may help.
- Ensure uploaded image URLs are publicly accessible.
Notes
- Only image is required — the model automatically detects and repairs damage.
- Works best on photos with typical age-related degradation (scratches, fading, noise).
- Extreme damage or missing portions may not be fully recoverable.
Related Models
- Bria Fibo Colorize — Add color to restored B&W photos.
- Bria Fibo Relight — Adjust lighting conditions on images.
- Bria Fibo Reseason — Change the season or weather of images.
- Bria Fibo Image Blend — Blend multiple images together.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/bria/fibo/restore" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}")
RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
created|processing) sleep 2 ;;
*) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
esac
doneParameters
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 | Output values, usually URL strings; some models return text strings or structured result objects (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.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 |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| 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 |