Pika V2.0 Turbo T2V

Pika V2.0 Turbo T2V

Playground

Try it on WaveSpeedAI!

Pika v2.0 Turbo is a text-to-video model that supports multiple sizes and includes advanced prompt optimization for improved results. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Pika V2.0 Turbo Text-to-Video is a fast and powerful text-to-video generation model optimized for speed. Generate high-quality 720p videos from text descriptions quickly and efficiently — perfect for rapid content creation and iteration.


Why It Stands Out

  • Turbo speed: Optimized for fast generation without sacrificing quality.
  • HD 720p output: Generate crisp videos in landscape (1280×720) or portrait (720×1280).
  • Prompt Enhancer: Built-in AI-powered prompt optimization for better results.
  • Photorealistic capability: Excellent at generating realistic, cinematic scenes.
  • Flexible duration: Choose between 5 or 10 second video lengths.

Parameters

ParameterRequiredDescription
promptYesText description of the video you want to generate.
sizeNoOutput resolution: 1280×720 or 720×1280 (default: 1280×720).
durationNoVideo length: 5 or 10 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 landscape (1280×720) or portrait (720×1280).
  3. Set duration — choose 5 or 10 seconds.
  4. Click Run and wait for your video to generate.
  5. Preview and download the result.

Best Use Cases

  • Nature & Wildlife — Generate stunning nature scenes and animal footage.
  • Social Media Content — Create platform-optimized videos for TikTok, Reels, and Shorts.
  • Marketing & Advertising — Produce promotional videos and ad creatives quickly.
  • Concept Visualization — Rapidly prototype video ideas before full production.
  • Cinematic Scenes — Create dramatic, movie-quality scenes from descriptions.

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 style.
  • Include quality keywords like “photorealistic,” “8K UHD,” “cinematic lighting,” “masterpiece.”
  • Describe camera movements like “drone long shot,” “tracking shot,” or “close-up.”
  • Choose portrait (720×1280) for mobile-first platforms like TikTok.
  • Start with 5-second videos to test concepts, then extend to 10 seconds for final versions.

Notes

  • Processing time is optimized for speed — expect quick turnaround.
  • Please ensure your prompts comply with content guidelines.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "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-t2v" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(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' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  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

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
sizestringNo1280*7201280*720, 720*1280The size of the generated media in pixels (width*height).
durationintegerNo55, 10The duration of the generated media in seconds.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
© 2026 WaveSpeedAI. All rights reserved.