Seedream 5.0 Pro est en ligne | Essayez dans le Générateur d'images →

Pika V2.0 Turbo I2V

pika /

Pika V2.0 Turbo Image-to-Video creates high-quality videos from images with multiple sizes and prompt optimization. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-video
Entrée

En attente

$0.2par exécution·~50 / $10

Suivant :

ExemplesTout voir

A futuristic soldier walks through a battlefield full of smoke and debris, camera tracking from behind, slight slow motion, strong contrast lighting, high detail, sci-fi cinematic style

Old man watering plants on his balcony, city skyline behind him, birds chirping, peaceful everyday ritual

Woman feeding stray cats in an alley, sunset sky above, cats meowing, urban kindness

Police car chase through crowded city streets, flashing lights, screeching tires, realistic motion blur, urban chaos

A man running through a dark alley at night, sirens in the distance, camera shaking slightly, rain falling, dramatic tension

Teenager escaping from a subway station during a blackout, flickering lights, sprinting footsteps, realistic tension

Two friends biking through a quiet neighborhood at sunset, long shadows, laughter, suburban peace

Mother picking up child from school, backpack swinging, other parents around, playground noises, everyday warmth

Stormy coastline with crashing waves, a figure climbing slippery rocks against strong wind, danger and survival feel

A young woman walks slowly across a rainy street at night, city lights reflecting on the wet asphalt, wearing a white trench coat, gentle wind blowing her hair, cinematic lighting, moody and atmospheric

Modèles associés

README

Pika V2.0 Turbo Image-to-Video

Transform images into dynamic videos with Pika V2.0 Turbo — the fast, efficient image-to-video model from Pika Labs. Generate smooth, high-quality 720p videos with natural motion and cinematic quality, perfect for bringing static images to life.

Why It Looks Great

  • Turbo speed: Optimized for fast generation without sacrificing quality.
  • 720p HD output: Sharp, professional-quality video in landscape or portrait.
  • Natural motion: Creates smooth, believable movement from static images.
  • Extended duration: Generate up to 10 seconds of video.
  • Prompt Enhancer: Built-in tool to refine your motion descriptions.
  • Safety Checker: Optional content filtering for appropriate output.

Parameters

ParameterRequiredDescription
imageYesSource image to animate (upload or public URL).
promptYesText description of the motion and action you want.
sizeNoOutput dimensions: 1280×720 (landscape) or 720×1280 (portrait). Default: 1280×720.
durationNoVideo length: 5 or 10 seconds. Default: 5.
Enable Safety CheckerNoToggle content safety filtering.

How to Use

  1. Upload your image — drag and drop or paste a public URL.
  2. Write your prompt — describe the motion, action, and atmosphere.
  3. Use Prompt Enhancer (optional) — click to enrich your description.
  4. Choose size — select landscape (1280×720) or portrait (720×1280).
  5. Set duration — choose 5 or 10 seconds.
  6. Run — click the button to generate.
  7. Download — preview and save your video.

Pricing

Per 5-second billing based on duration.

DurationCalculationCost
5 seconds5 ÷ 5 × $0.20$0.20
10 seconds10 ÷ 5 × $0.20$0.40

Size Options

SizeOrientationBest For
1280×720LandscapeYouTube, presentations, desktop viewing
720×1280PortraitTikTok, Instagram Reels, Stories, mobile

Best Use Cases

  • Storytelling — Bring narrative moments and emotional scenes to life.
  • Social Media Content — Create engaging videos from photos for any platform.
  • Lifestyle Animation — Animate everyday moments with warmth and authenticity.
  • Marketing & Ads — Transform product images into dynamic video content.
  • Creative Projects — Add motion to artwork and photography.

Example Prompts

  • "Woman feeding stray cats in an alley, sunset sky above, cats meowing, urban kindness"
  • "Gentle breeze moving through hair, soft smile appearing, warm golden light"
  • "Clouds drifting across the sky, timelapse effect, peaceful atmosphere"
  • "Product rotating slowly, studio lighting reflections, professional showcase"
  • "Leaves falling gently around the subject, autumn atmosphere, subtle movement"

Pro Tips for Best Results

  • Describe both subject motion and ambient movement for richer videos.
  • Include emotional tone: "kindness", "peaceful", "warm", "dramatic".
  • Use Pika for storytelling moments — it excels at emotionally resonant scenes.
  • Match orientation to platform: portrait for TikTok/Reels, landscape for YouTube.
  • Start with 5-second videos to test concepts before generating 10-second versions.
  • Turbo mode delivers fast results — great for rapid iteration.

Notes

  • Duration options are 5 or 10 seconds.
  • If using a URL, ensure it is publicly accessible.
  • Enable Safety Checker for content that will be publicly shared.
  • Turbo mode prioritizes speed while maintaining Pika's quality standards.
Remarque :Ce site utilise des modèles d'IA fournis par des tiers.

v2.0 Turbo I2v API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/pika/v2.0-turbo-i2v 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 v2.0 Turbo I2v below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "size": "1280*720",
    "duration": 5
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/pika/v2.0-turbo-i2v" \
  -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/pika/v2.0-turbo-i2v";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
        "size": "1280*720",
        "duration": 5
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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 = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "size": "1280*720",
    "duration": 5
}

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/pika/v2.0-turbo-i2v", 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)

v2.0 Turbo I2v API — Frequently asked questions

What is the v2.0 Turbo I2v API?

v2.0 Turbo I2v is a Pika model for video generation from images, exposed as a REST API on WaveSpeedAI. Pika V2.0 Turbo Image-to-Video creates high-quality videos from images with multiple sizes and prompt optimization. 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 v2.0 Turbo I2v 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/pika/pika-v2.0-turbo-i2v.

How much does v2.0 Turbo I2v cost per run?

v2.0 Turbo I2v starts at $0.20 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 v2.0 Turbo I2v accept?

Key inputs: `prompt`, `image`, `duration`, `size`. 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/pika/pika-v2.0-turbo-i2v.

How long does v2.0 Turbo I2v take to generate?

Median end-to-end generation time on WaveSpeedAI is around 162 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 v2.0 Turbo I2v outputs commercially?

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

Pika V2.0 Turbo I2V | Fast Image-to-Video API | WaveSpeedAI