Video Relighter Video Relighting API

wavespeed-ai/video-relighter

Video Relighter re-lights outdoor footage to a chosen lighting preset and sun direction, or re-renders the same shot at night, keeping composition, camera movement and subject motion intact. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

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Idle

$0.04per run·~25 / $1

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README

Video Relighter

Video Relighter changes the lighting of a video while preserving the original composition, camera movement, subject motion, and scene structure. Choose a daylight or night lighting preset, set the sun direction when applicable, and generate a relit version of the same shot without prompt writing.

Why Choose This?

  • Video relighting workflow
    Change the lighting of an existing video while keeping the original shot structure intact.

  • Daylight and night presets
    Choose from daylight looks such as hard_sunlight, golden_hour, or overcast, or night styles such as moonlight, street_lights, or city_glow.

  • Sun direction control
    Set where the sun comes from for daylight presets using sun_direction.

  • Outdoor scene enhancement
    Relight landscapes, streets, drone footage, outdoor people shots, and other exterior scenes.

  • Multiple output resolutions
    Choose 480p, 720p, or 1080p while preserving the original aspect ratio.

  • Seed support
    Set a seed when reproducible relighting results are needed.

Parameters

ParameterRequiredDescription
videoYesInput video URL or uploaded video. Up to 120 seconds is processed.
lightingNoLighting preset. Supports daylight and night presets. Default: hard_sunlight.
sun_directionNoSun direction for daylight presets. Options include front, front-right, right, back-right, behind, back-left, left, and front-left. Default: right. Ignored by night presets.
target_resolutionNoOutput resolution: 480p, 720p, or 1080p. Default: 720p. Aspect ratio is preserved.
seedNoRandom seed for reproducible results.

How to Use

  1. Upload a video — Provide the outdoor video you want to relight.
  2. Choose a lighting preset — Select a daylight look or night style.
  3. Set sun direction optional — Choose the sun direction for daylight presets.
  4. Choose target resolution — Select 480p, 720p, or 1080p.
  5. Set seed optional — Use a fixed seed when reproducibility is needed.
  6. Submit — Generate the relit video output.

Pricing

Pricing is based on input video duration and selected target_resolution.

Billed duration is rounded up to the next whole second, with a minimum billed duration of 3 seconds and a maximum billed duration of 120 seconds.

Output ResolutionPer 5sPer second
480p$0.10$0.02
720p$0.20$0.04
1080p$0.50$0.10

Example Costs

Input DurationBilled Duration480p720p1080p
1s3s$0.06$0.12$0.30
3s3s$0.06$0.12$0.30
5s5s$0.10$0.20$0.50
10s10s$0.20$0.40$1.00
60s60s$1.20$2.40$6.00
120s120s$2.40$4.80$12.00

lighting, sun_direction, and seed do not add separate charges.

Best Use Cases

  • Outdoor video relighting — Change the lighting direction, mood, or time-of-day feel of exterior footage.
  • Golden-hour looks — Rework daytime footage with warmer, lower-angle lighting.
  • Night-style conversion — Re-render the same shot with moonlight, city glow, street lights, or blue-hour lighting.
  • Drone and landscape footage — Adjust sky, clouds, shadows, and sunlight direction in outdoor scenes.
  • Creative enhancement — Test different lighting moods without reshooting.
  • Previsualization and post-production — Explore lighting directions before final editing or compositing.

Pro Tips

  • Use outdoor footage for best results.
  • Choose a lighting preset that clearly differs from the original footage for a stronger visible effect.
  • Use sun_direction only with daylight presets.
  • Night presets ignore sun_direction.
  • backlight and hazy_backlight work best when sun_direction is set to behind.
  • Keep the same seed when you want to reproduce a result.
  • This endpoint relights the scene; it is not intended for object removal, colorization, or video restoration.

Limits and Performance

  • Maximum processed video length per job: 120 seconds.
  • Input beyond 120 seconds is not processed or billed.
  • Best suited for outdoor scenes such as landscapes, streets, drone footage, and people outdoors.
  • Indoor footage is not supported for relight mode.
  • Processing time can vary by resolution and video content.
  • Higher output resolutions generally take longer to process.

Notes

  • video is required.
  • lighting defaults to hard_sunlight.
  • sun_direction defaults to right.
  • target_resolution defaults to 720p.
  • Aspect ratio is preserved.
  • Billed duration is rounded up and clamped to 3–120 seconds.
  • Very short videos are billed as 3 seconds.
  • Night presets ignore sun_direction.

Related Models

  • Video Restorer — Restore damaged footage by reducing compression artifacts or improving soft-focus video.
  • Video Colorizer — Add or restore color in video footage for restoration and creative enhancement workflows.
  • Video Cleaner — Clean up video noise, artifacts, and visual imperfections for clearer output.
  • Video Relighter — Adjust or improve video lighting while preserving the original scene and motion.
Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Video Relighter API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/video-relighter with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Video Relighter below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "lighting": "hard_sunlight",
    "sun_direction": "right",
    "target_resolution": "720p"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/video-relighter" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"

# 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' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/wavespeed-ai/video-relighter";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "lighting": "hard_sunlight",
        "sun_direction": "right",
        "target_resolution": "720p"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "lighting": "hard_sunlight",
    "sun_direction": "right",
    "target_resolution": "720p"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/wavespeed-ai/video-relighter", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout", "deleted"}:
        raise RuntimeError(result)
    time.sleep(2)

Video Relighter API — Frequently asked questions

What is the Video Relighter API?

Video Relighter is a WaveSpeedAI model for video processing, exposed as a REST API on WaveSpeedAI. Video Relighter re-lights outdoor footage to a chosen lighting preset and sun direction, or re-renders the same shot at night, keeping composition, camera movement and subject motion intact. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Video Relighter 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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/video-relighter.

How much does Video Relighter cost per run or per second?

Video Relighter starts at $0.04 per run or per second. 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 Video Relighter accept?

Key inputs: `video`, `seed`, `lighting`, `sun_direction`, `target_resolution`. 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/wavespeed-ai/video-relighter.

How do I get started with the Video Relighter API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Video Relighter outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.

llms.txt — wavespeed-ai/video-relighter for AI agents and LLMs