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AI Celebrity Look Alike Finder

wavespeed-ai /

AI Celebrity Look-Alike Finder analyzes a portrait and finds the closest celebrity match. Upload a face photo and discover which celebrity you resemble. Ready-to-use REST inference API, no coldstarts, affordable pricing.

image-to-image
इनपुट

निष्क्रिय

$0.05प्रति रन·~20 / $1

आगे:

उदाहरणसभी देखें

संबंधित मॉडल

README

AI Celebrity Look-Alike Finder

AI Celebrity Look-Alike Finder reveals your celebrity twin. Upload a selfie and discover which famous face you share features with — is it a Hollywood star? A music icon? A sports legend? There's only one way to find out.

Why Choose This?

  • Instant celebrity match Advanced facial recognition analyzes your features and finds your closest celebrity doppelganger.

  • Thousands of celebrities Actors, musicians, athletes, influencers, historical figures — our database spans the A-list and beyond.

  • Accurate facial analysis AI examines facial structure, proportions, and features for surprisingly accurate matches.

  • Shareable results Get results designed for social media — show your friends your celebrity twin.

  • Quick and fun Upload, click, discover. Takes seconds, entertains for hours.

Parameters

ParameterRequiredDescription
imageYesYour portrait photo (URL or upload)

How to Use

  1. Upload your photo — a clear selfie or portrait works best.
  2. Run — AI scans millions of celebrity faces to find your match.
  3. Discover your twin — see which celebrity you resemble most.
  4. Share — brag to your friends (or keep it secret if it's awkward).

Pricing

OutputCost
Per match$0.05

Best Use Cases

  • Social media fun — Share your celebrity match and watch the reactions.
  • Party icebreaker — Who's everyone's celebrity twin? Find out together.
  • Curiosity fix — You've always wondered. Now you'll know.
  • Profile inspiration — Style yourself after your celebrity match.
  • Gift idea — Surprise friends with their celebrity look-alike results.

Pro Tips

  • Front-facing, well-lit photos give the most accurate matches.
  • Neutral expressions work better than big smiles or funny faces.
  • Remove sunglasses and hats — the AI needs to see your full face.
  • Higher resolution photos = better results.
  • Try different photos — you might match different celebrities depending on the angle!

Notes

  • Image is the only required field.
  • Ensure uploaded image URLs are publicly accessible.
  • For entertainment purposes — celebrity matches are based on facial similarity only.
  • Please use responsibly and respect others' likeness.
नोट:यह वेबसाइट तृतीय पक्षों द्वारा प्रदान किए गए AI मॉडलों का उपयोग करती है।

Ai Celebrity Look Alike Finder API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-celebrity-look-alike-finder 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 Ai Celebrity Look Alike Finder below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_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/wavespeed-ai/ai-celebrity-look-alike-finder" \
  -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=$(printf '%s' "$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' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-celebrity-look-alike-finder";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  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 = {
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
}

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/ai-celebrity-look-alike-finder", 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 = task.get("urls", {}).get("get") or 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"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Ai Celebrity Look Alike Finder API — Frequently asked questions

What is the Ai Celebrity Look Alike Finder API?

Ai Celebrity Look Alike Finder is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. AI Celebrity Look-Alike Finder analyzes a portrait and finds the closest celebrity match. Upload a face photo and discover which celebrity you resemble. Ready-to-use REST inference API, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Ai Celebrity Look Alike Finder 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 production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/ai-celebrity-look-alike-finder.

How much does Ai Celebrity Look Alike Finder cost per run?

Ai Celebrity Look Alike Finder starts at $0.050 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 Ai Celebrity Look Alike Finder accept?

Key inputs: `image`. 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/ai-celebrity-look-alike-finder.

How long does Ai Celebrity Look Alike Finder take to generate?

Median end-to-end generation time on WaveSpeedAI is around 29 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Ai Celebrity Look Alike Finder outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

AI Celebrity Look Alike Finder | Fast Image Editing API | WaveSpeedAI