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Pika V2.2 T2V

pika /

Pika v2.2 is a text-to-video model that creates high-quality videos from text prompts, supporting multiple video sizes and advanced prompt optimization. Ready-to-use REST API, no coldstarts, affordable pricing.

text-to-video
Wejście

Bezczynny

$0.2za uruchomienie·~50 / $10

Dalej:

PrzykładyZobacz wszystkie

Nurse finishing a long night shift, walking alone through hospital corridor, fatigue in her posture

Family dinner in a small apartment kitchen, lively conversation, warm lighting, cluttered table

A teenager sitting alone on a rooftop, city lights below, headphones on, lost in thought

Police car chasing a motorcycle at night through urban alleys, sirens blaring, shaky cam style

Food delivery worker rushing up apartment stairs, panting, checking phone GPS, camera following from behind

Woman walking alone through a poorly lit parking garage, footsteps echoing, turning around nervously

Elderly man reading a newspaper by the window in a quiet café, morning light streaming through dust particles

Teenagers hanging out at a gas station late at night, drinking soda, laughing under flickering fluorescent lights

A cozy cabin in snowy mountains, smoke rising from the chimney, camera slowly panning, morning golden light, high detail realism

A sports car drifting through sharp turns on a mountain road, tire smoke trailing, action camera, 4K slow motion

Powiązane modele

README

Pika V2.2 Text-to-Video

Pika V2.2 Text-to-Video is a state-of-the-art text-to-video generation model that creates high-quality videos from text descriptions. Generate cinematic 720p videos with smooth motion and rich detail — simply describe your scene and watch it come to life.

Why It Stands Out

  • High-quality generation: Produces detailed, visually striking videos with natural motion.
  • HD 720p output: Generate crisp 1280×720 videos with excellent clarity.
  • Prompt Enhancer: Built-in AI-powered prompt optimization for better results.
  • Flexible duration: Choose video length based on your needs.
  • Simple workflow: Just describe your scene — no complex settings required.

Parameters

ParameterRequiredDescription
promptYesText description of the video you want to generate.
sizeNoOutput resolution (default: 1280×720).
durationNoVideo length in seconds (default: 5).

How to Use

  1. Write a prompt describing the scene, action, and style you want. Use the Prompt Enhancer for AI-assisted optimization.
  2. Select size — choose the resolution that fits your needs.
  3. Set duration — choose how long you want the video to be.
  4. Click Run and wait for your video to generate.
  5. Preview and download the result.

Best Use Cases

  • Social Media Content — Create engaging video clips for TikTok, Reels, and Shorts.
  • Marketing & Advertising — Produce promotional videos and ad creatives.
  • Storytelling & Film — Generate cinematic scenes for short films and narratives.
  • Concept Visualization — Bring creative ideas to life before full production.
  • Music Videos — Create visual content for songs and audio tracks.

Pricing

DurationPrice
5 seconds$0.20
10 seconds$0.40

Pro Tips for Best Quality

  • Be detailed in your prompt — describe subject, action, environment, lighting, and mood.
  • Include emotional or atmospheric keywords like "fatigue," "tension," "joy," or "serenity."
  • Describe camera angles and movements for more cinematic results.
  • Keep prompts focused on a single clear scene or action.
  • Start with shorter durations to test concepts, then extend for final versions.

Notes

  • Processing time varies based on duration and current queue load.
  • Please ensure your prompts comply with content guidelines.
Uwaga:Ta strona korzysta z modeli AI udostępnianych przez podmioty trzecie.

v2.2 T2v API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/pika/v2.2-t2v 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 T2v 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",
    "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-t2v" \
  -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-t2v";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "size": "1280*720",
        "duration": 5
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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",
    "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-t2v", 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 T2v API — Frequently asked questions

What is the v2.2 T2v API?

v2.2 T2v is a Pika model for video generation, exposed as a REST API on WaveSpeedAI. Pika v2.2 is a text-to-video model that creates high-quality videos from text prompts, supporting multiple video sizes and advanced prompt optimization. Ready-to-use REST API, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the v2.2 T2v 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-t2v.

How much does v2.2 T2v cost per run?

v2.2 T2v 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 T2v accept?

Key inputs: `prompt`, `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-t2v.

How long does v2.2 T2v take to generate?

Median end-to-end generation time on WaveSpeedAI is around 208 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 T2v 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 T2V | Powerful Text-to-Video API | WaveSpeedAI