Pika V2.2 T2V API Documentation

Pika V2.2 T2V API Documentation

Playground

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.

Features

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

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

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.

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/v2.2-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 "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"

# 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|deleted) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters