ai/ai-celebrity-look-alike-finder

celebrity-look-alike-finder

celebrity-look-alike-finder. Görsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.

İlgili modeller

ai/ai-celebrity-look-alike-finder İlgili modeller 1

Tüm parametreler, çıktı şeması ve güncel fiyatlar

Yapay zeka model API pazarıTek platformda her şeyEn popülerKoşullarGörsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.
image *Imageimage_upload—image/* · 1–1 items

Tüm parametreler, çıktı şeması ve güncel fiyatlar

Daha fazla bilgiTek platformda her şeyGörsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.
imagesarray<string>

API

Görsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.

cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/celebrity-look-alike-finder" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "input": {
    "image": [
      "https://assets-public.namifusion.com/marketplace/images/2026-06-12/638e1ee18ac7.jpeg"
    ]
  }
}'

# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
  -H "Authorization: Bearer YOUR_API_KEY"
Python
import time, requests

API_KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}

# 1) Submit
resp = requests.post(
    "https://www.namifusion.com/api/v1/marketplace/run/celebrity-look-alike-finder",
    headers=HEADERS,
    json={
        "input": {
            "image": [
                "https://assets-public.namifusion.com/marketplace/images/2026-06-12/638e1ee18ac7.jpeg"
            ]
        }
    },
)
resp.raise_for_status()  # 401/402/429/5xx stop here instead of polling a bad task
task = resp.json()

# 2) Poll until a terminal state (completed / failed / cancelled).
#    This model is allowed up to 300s server-side.
deadline = time.time() + 360
while task.get("status") not in ("completed", "failed", "cancelled"):
    if time.time() > deadline:
        raise TimeoutError(f"still {task.get('status')} — keep the task_uuid and poll later")
    time.sleep(3)
    poll = requests.get(f"https://www.namifusion.com/api/v1/marketplace/run/tasks/{task['task_uuid']}", headers=HEADERS)
    poll.raise_for_status()
    task = poll.json()

print(task["status"], task.get("output"))
JavaScript
const API_KEY = "YOUR_API_KEY";
const HEADERS = { Authorization: `Bearer ${API_KEY}` };

// 1) Submit
const resp = await fetch("https://www.namifusion.com/api/v1/marketplace/run/celebrity-look-alike-finder", {
  method: "POST",
  headers: { ...HEADERS, "Content-Type": "application/json" },
  body: JSON.stringify({
    "input": {
      "image": [
        "https://assets-public.namifusion.com/marketplace/images/2026-06-12/638e1ee18ac7.jpeg"
      ]
    }
  }),
});
if (!resp.ok) throw new Error(`submit failed: ${resp.status} ${await resp.text()}`);
let task = await resp.json();

// 2) Poll until a terminal state (completed / failed / cancelled).
//    This model is allowed up to 300s server-side.
const deadline = Date.now() + 360 * 1000;
while (!["completed", "failed", "cancelled"].includes(task.status)) {
  if (Date.now() > deadline) throw new Error(`still ${task.status} — keep the task_uuid and poll later`);
  await new Promise((r) => setTimeout(r, 3000));
  const poll = await fetch(`https://www.namifusion.com/api/v1/marketplace/run/tasks/${task.task_uuid}`, { headers: HEADERS });
  if (!poll.ok) throw new Error(`poll failed: ${poll.status}`);
  task = await poll.json();
}

console.log(task.status, task.output);

API belgeleri

ai/ai-celebrity-look-alike-finder

Upload a portrait and instantly discover your closest celebrity match.

ai/ai-celebrity-look-alike-finder is an AI model designed to analyze a face photo and identify the closest celebrity look-alike. It is well suited for entertainment, social engagement, and lightweight portrait analysis workflows, with key advantages including no cold start, simple image-based input, and affordable per-request pricing.

🚀 Key Features

  • Celebrity look-alike matching: Analyzes facial features in a portrait and finds the closest celebrity resemblance.
  • Simple image input: Requires only an input image URL, making it easy to evaluate and deploy in user-facing experiences.
  • No cold start: Delivers responsive inference for interactive applications and high-frequency usage.
  • Affordable pricing: Low per-run cost makes it practical for consumer apps, campaigns, and experimentation.
  • Optimized for portrait photos: Best results are achieved with clear, front-facing, single-person images.

🛠️ Technical Specifications

ItemDetails
Model architectureAI model for facial feature analysis and celebrity similarity matching
Task typePortrait-based celebrity look-alike detection
Input formatImage URL
Output FormatStructured match result
Input requirementsSingle clear portrait image with a visible face
LatencyLow-latency inference with no cold start
Service profileReady-to-use REST inference service

Sample prompts

This model is primarily image-driven and typically does not require a Prompt. For best results, use images such as:

  • A clear front-facing portrait photo
  • A selfie with even lighting and minimal occlusion
  • A single-subject headshot with limited background distraction

💰 Pricing

ItemPrice
Base Price$0.05 per run

💡 Best Use Cases

  • Entertainment apps: Power “Which celebrity do you look like?” experiences for end users.
  • Social media campaigns: Increase engagement through shareable celebrity match interactions.
  • Photo and beauty apps: Add a fun portrait analysis feature to consumer image products.
  • Web and mobile experiences: Integrate lightweight face-based matching into interactive products.

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