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AI Travel Trends generates stunning travel-style photos at 30 iconic destinations worldwide. Upload a photo, write a prompt, pick a destination — Paris, Tokyo, Bali, New York, and more. Ready-to-use REST inference API, no coldstarts, affordable pricing.

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$0.05per run·~20 / $1

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AI Travel Trends

AI Travel Trends teleports you to 30 iconic destinations around the world — without leaving your chair. Upload a photo, describe your dream shot, pick a destination, and AI places you there instantly.

Why Choose This?

  • 30 iconic destinations From the Eiffel Tower to Machu Picchu — choose your dream location or let the model surprise you with a random pick.

  • Prompt-driven scene control Describe the lighting, mood, and composition you want for a more personalized travel photo.

  • Instant results No travel, no photoshoot, no editing skills required. Professional-quality output in seconds.

Parameters

ParameterRequiredDescription
promptYesText description of the desired travel scene and photo style.
imageYesInput photo (URL or file upload).
destinationNoDestination preset. Default: auto (random). See options below.

Destination Options

Europe paris, santorini, swiss_alps, iceland, rome, london, amalfi, barcelona, norway_fjords

Asia tokyo, kyoto, bali, maldives, dubai, great_wall, taj_mahal, angkor_wat, seoul

Americas new_york, machu_picchu, havana, grand_canyon, rio

Africa & Middle East safari, marrakech, pyramids, capetown

Oceania sydney, new_zealand

Special auto — random destination (default)

How to Use

  1. Upload your photo — a clear, well-lit photo works best.
  2. Write a prompt — describe the travel scene, lighting, and mood you want.
  3. Pick a destination — choose from 30 locations, or leave as auto for a surprise.
  4. Submit — download your travel photo.

Pricing

Just $0.05 per image.

Best Use Cases

  • Social media content — Create stunning travel photos for Instagram and TikTok without the flights.
  • Personal branding — Place yourself in aspirational locations for a globetrotter aesthetic.
  • Creative exploration — Try the same photo across multiple destinations for a travel series.
  • Gifts & fun — Surprise friends with a photo of them at their dream destination.

Pro Tips

  • Be specific in your prompt — describe time of day, weather, and composition for more accurate results.
  • Try the same photo across several destinations to find your favorite look.
  • Use auto mode when you want a creative surprise.
  • Clear, front-facing photos with a visible subject produce the most convincing placements.

Notes

  • Both prompt and image are required fields.
  • Destination defaults to auto (random) if not specified.
  • Ensure image URLs are publicly accessible if using a link rather than a direct upload.
  • Please ensure your content complies with WaveSpeed AI's usage policies.
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.

Ai Travel Trends API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-travel-trends 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 Travel Trends 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",
    "destination": "auto"
}
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-travel-trends" \
  -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-travel-trends";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
        "destination": "auto"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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",
    "destination": "auto"
}

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-travel-trends", 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 Travel Trends API — Frequently asked questions

What is the Ai Travel Trends API?

Ai Travel Trends is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. AI Travel Trends generates stunning travel-style photos at 30 iconic destinations worldwide. Upload a photo, write a prompt, pick a destination — Paris, Tokyo, Bali, New York, and more. 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 Travel Trends 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-travel-trends.

How much does Ai Travel Trends cost per run?

Ai Travel Trends 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 Travel Trends accept?

Key inputs: `prompt`, `image`, `destination`. 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-travel-trends.

How long does Ai Travel Trends take to generate?

Median end-to-end generation time on WaveSpeedAI is around 27 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 Travel Trends 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 Travel Trends | Fast Image Editing API on WaveSpeedAI