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wavespeed-ai/face-enhancer/video

Restore and sharpen faces throughout any video with stable, flicker-free results and the original audio kept. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

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$0.05per run·~20 / $1

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Video Face Enhancer

Video Face Enhancer restores and sharpens faces throughout a video. It tracks the faces in every frame, recovers natural detail in eyes, skin, hair and teeth, and blends them back smoothly — with stable, flicker-free results and the original audio kept.

Why It Looks Great

  • Temporal stability: Face landmarks are smoothed across frames, so restored faces hold still instead of shimmering.
  • Natural restoration: Recovers detail lost to blur, compression and low resolution while keeping identity and expression.
  • Occlusion aware: Hands, hair strands and glasses in front of a face are preserved.
  • Multi-face support: Up to three of the largest faces in each frame are enhanced.
  • Original audio kept: The soundtrack is copied to the output unchanged.

Parameters

ParameterRequiredDescription
videoYesThe video containing the faces to enhance (upload or public URL). Max 10 minutes.

How to Use

  1. Upload your video — drag and drop or paste a public URL.
  2. Run — wait for processing.
  3. Download — preview and save your enhanced video.

Pricing

Billing duration: Input media duration is rounded up to whole seconds. The minimum billed duration is 3 seconds; shorter inputs are billed as 3 seconds.

Per-second billing with a 3-second minimum. Maximum video length: 10 minutes.

DurationCost
Per 5 seconds$0.05
Per second$0.01

Billing Rules

  • Minimum charge: 3 seconds ($0.03)
  • Per-second rate: $0.01
  • Billed duration: Video length in seconds (rounded up), with 3-second minimum
  • Total cost: Billed duration × $0.01

Examples

Video LengthCalculationTotal Cost
3s3s minimum × $0.01$0.03
15s15 × $0.01$0.15
1m 30s (90s)90 × $0.01$0.90
5m (300s)300 × $0.01$3.00

Best Use Cases

  • Old footage — Bring back facial detail in archival, compressed or low-resolution clips.
  • AI-generated video — Sharpen soft or unstable faces in generated videos.
  • Interviews & vlogs — Clearer faces for talking-head content.
  • Social media — Crisper faces before posting.

Notes

  • Up to 3 faces are enhanced per frame — the largest ones.
  • Output resolution follows the input (capped at about 2000×1080 pixels) and frame rate is capped at 30 fps.
  • Works best on real human faces; illustrated or anime faces may not improve.
  • Ensure you have permission to use all uploaded videos and likenesses.
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.

Face Enhancer Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/face-enhancer/video 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 Face Enhancer Video 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"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/face-enhancer/video" \
  -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/face-enhancer/video";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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"
}

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/face-enhancer/video", 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)

Face Enhancer Video API — Frequently asked questions

What is the Face Enhancer Video API?

Face Enhancer Video is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. Restore and sharpen faces throughout any video with stable, flicker-free results and the original audio kept. 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 Face Enhancer Video 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/face-enhancer-video.

How much does Face Enhancer Video cost per run?

Face Enhancer Video starts at $0.05 per run. 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 Face Enhancer Video accept?

Key inputs: `video`. 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/face-enhancer-video.

How do I get started with the Face Enhancer Video 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 Face Enhancer Video 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/face-enhancer/video for AI agents and LLMs
WaveSpeed AI Video Face Enhancer | AI Face Restoration API on WaveSpeedAI