Seedream 5.0 Pro เปิดให้ใช้งานแล้ว | ลองใช้ในเครื่องสร้างรูปภาพ →
เข้าสู่ระบบ

Pika V2.2 I2V

pika /

Pika V2.2 Image-to-Video converts images into high-quality videos in various sizes with prompt optimization for precise results. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-video
อินพุต

ว่าง

$0.2ต่อครั้ง·~50 / $10

ต่อไป:

ตัวอย่างดูทั้งหมด

An anthropomorphic fox detective walking through a noir city alley, rain falling, wearing a trench coat, expressive animation style, Pixar-meets-noir tone

Young woman packing a suitcase late at night, dim bedroom light, conflicted emotions on her face

A man running through empty city streets at dawn, breathing heavily, early sun casting long shadows

Young girl chasing bubbles in a park, slow motion, parents laughing nearby, golden hour sunlight

Roommate confrontation in a cluttered apartment, intense dialogue, handheld camera feel, natural lighting

A man hiding behind a dumpster, glancing toward flashing red and blue lights in the distance

News footage style video of protestors marching in the rain, umbrellas up, signs raised, raw soundscape

Teen breaking into an abandoned house, flashlight beam scanning dusty walls, heartbeat audio

Evening crowd at a night market, food stalls steaming, vibrant colors and overlapping chatter

A glowing jellyfish floating through an endless galaxy, stars twinkling in the background, camera rotates gently around, ethereal ambiance, surreal beauty

โมเดลที่เกี่ยวข้อง

README

Pika V2.2 Image-to-Video

Transform images into cinematic videos with Pika V2.2 — the newest image-to-video model from Pika Labs. This latest version delivers enhanced animation quality, superior character motion, and improved stylistic consistency, perfect for creative storytelling and stylized content.

Why It Looks Great

  • Newest version: V2.2 brings the latest improvements in motion and style consistency.
  • Stylized animation: Excels at expressive, animated, and stylized content.
  • Character motion: Superior handling of anthropomorphic and animated characters.
  • 720p HD output: Sharp, professional-quality video in landscape or portrait.
  • 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, style, 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

  • Stylized Animation — Bring illustrated and animated characters to life.
  • Character Animation — Animate anthropomorphic and cartoon characters with expressive motion.
  • Creative Storytelling — Generate cinematic sequences with distinctive visual styles.
  • Social Media Content — Create eye-catching animated videos for any platform.
  • Concept Art Animation — Transform static concept art into moving previews.

Example Prompts

  • "An anthropomorphic fox detective walking through a noir city alley, rain falling, wearing a trench coat, expressive animation style, Pixar-meets-noir tone"
  • "Animated character looking around curiously, big expressive eyes, subtle head movements"
  • "Fantasy creature spreading wings and taking flight, magical particles, epic scale"
  • "Cartoon robot waving hello, friendly personality, smooth animation"
  • "Stylized portrait coming to life, gentle smile forming, warm lighting shift"

Model Comparison

ModelVersionStrength
Pika V2.2 I2VNewestStylized animation, character motion
Pika V2.1 I2VPreviousGeneral use, improved consistency
Pika V2.0 Turbo I2VFastRapid iteration, speed priority

Pro Tips for Best Results

  • V2.2 excels at stylized and animated content — perfect for illustrated characters.
  • Describe animation style: "expressive animation", "Pixar-style", "cartoon motion".
  • Include character personality: "curious", "friendly", "expressive eyes".
  • Works great with anthropomorphic characters, creatures, and stylized art.
  • Match orientation to platform: portrait for TikTok/Reels, landscape for YouTube.
  • Start with 5-second videos to test, then extend to 10 seconds for final delivery.

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.
  • V2.2 is optimized for stylized and animated content.
หมายเหตุ:เว็บไซต์นี้ใช้โมเดล AI ที่จัดหาโดยบุคคลที่สาม

v2.2 I2v API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/pika/v2.2-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 v2.2 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/v2.2-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/v2.2-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/v2.2-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)

v2.2 I2v API — Frequently asked questions

What is the v2.2 I2v API?

v2.2 I2v is a Pika model for video generation from images, exposed as a REST API on WaveSpeedAI. Pika V2.2 Image-to-Video converts images into high-quality videos in various sizes with prompt optimization for precise results. 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 v2.2 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-v2.2-i2v.

How much does v2.2 I2v cost per run?

v2.2 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 v2.2 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-v2.2-i2v.

How long does v2.2 I2v take to generate?

Median end-to-end generation time on WaveSpeedAI is around 178 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 v2.2 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 V2.2 I2V | Fast Image-to-Video API | WaveSpeedAI