Bria Fibo Relight
Playground
Try it on WaveSpeedAI!Bria Relight modifies the lighting setup (direction and atmosphere) of an image. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Features
Bria Fibo Relight is an AI-powered image relighting model that transforms the lighting conditions of any photo. Choose from a wide variety of lighting styles — from golden sunrise to moonlit nights — and control the light direction for professional-quality results.
Why Choose This?
-
Extensive lighting options Over 10 distinct lighting styles covering all times of day and weather conditions.
-
Directional control Adjust light direction from front, side, bottom, or top-down.
-
Natural results AI understands scene structure for realistic lighting transformations.
-
Simple workflow Upload an image, select lighting style and direction, and get instant results.
-
Versatile applications Perfect for portraits, product photos, and creative projects.
Parameters
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Source image to relight (URL or upload) |
| light_type | Yes | Lighting style to apply (see options below) |
| light_direction | No | Light direction: front, side, bottom, top-down |
Lighting Options
| Light Type | Description |
|---|---|
| midday | Bright, overhead sunlight |
| blue hour light | Cool, soft light just before sunrise/after sunset |
| low-angle sunlight | Warm, dramatic light from a low sun angle |
| sunrise light | Golden, warm morning light |
| spotlight on subject | Focused dramatic lighting on the subject |
| overcast light | Soft, diffused cloudy day lighting |
| soft overcast daylight lighting | Gentle, even illumination |
| cloud-filtered lighting | Subtle, filtered sunlight through clouds |
| fog-diffused lighting | Atmospheric, misty lighting |
| moonlight lighting | Cool, bluish nighttime illumination |
| starlight nighttime | Dim, ambient night lighting |
And more.
How to Use
- Upload your image — provide the image you want to relight.
- Select light type — choose the desired lighting style.
- Set light direction (optional) — choose where the light comes from.
- Run — submit and download your relit image.
Pricing
| Output | Cost |
|---|---|
| Per image | $0.04 |
Best Use Cases
- Portrait Enhancement — Add golden hour glow or dramatic studio lighting to portraits.
- Product Photography — Apply consistent, professional lighting to product shots.
- Social Media Content — Create mood-specific visuals with different lighting styles.
- Creative Projects — Transform daytime photos to nighttime scenes or vice versa.
- Photo Correction — Fix poorly lit images with better lighting conditions.
Pro Tips
- Combine “sunrise light” or “low-angle sunlight” with “side” direction for dramatic portraits.
- Use “soft overcast daylight lighting” for even, flattering light on faces.
- “Moonlight lighting” and “starlight nighttime” can transform daytime shots into night scenes.
- “Spotlight on subject” creates professional studio-style lighting effects.
- Experiment with different light directions to find the most flattering angle for your subject.
Notes
- Both image and light_type are required fields.
- Light direction defaults to a balanced setting if not specified.
- Ensure uploaded image URLs are publicly accessible.
- Works best with images that have clear subjects and defined backgrounds.
Related Models
- Bria Fibo Colorize — Apply color styles and colorize B&W images.
- Bria Fibo Reseason — Change the season or weather of images.
- Bria Fibo Image Blend — Blend multiple images together.
- Bria Fibo Restore — Restore and enhance old or damaged photos.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"light_type": "midday",
"light_direction": "front"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/bria/fibo/relight" \
-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 relighted. | |
| light_type | string | Yes | midday | midday, blue hour light, low-angle sunlight, sunrise light, spotlight on subject, overcast light, soft overcast daylight lighting, cloud-filtered lighting, fog-diffused lighting, moonlight lighting, starlight nighttime, soft bokeh lighting, harsh studio lighting | The type of lighting atmosphere to apply. |
| light_direction | string | No | front | front, side, bottom, top-down | The direction of the light source. |
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 |