AI Twerk API Documentation

AI Twerk API Documentation

Playground

AI Twerk generates a fun twerking dance video from a single input image. Upload a photo and the model animates the person into an energetic twerking dance with upbeat hip-hop music. Ready-to-use REST inference API, no coldstarts, affordable pricing.

Features

AI Twerk generates a fun twerking dance video from a single image with upbeat hip-hop music. Upload any portrait photo and watch it come alive with dance moves — perfect for entertainment, social media content, and viral videos.

Why Choose This?

• One-click generation Just upload an image — no prompts or parameters needed.

• Built-in music Automatically adds upbeat hip-hop music for a complete video experience.

• Fun & viral content Create entertaining videos perfect for social media sharing.

• Simple workflow No complex settings — upload and generate.

Parameters

How to Use

1. Upload your image — provide a clear portrait photo.
2. Run — click the button and wait for processing.
3. Download — save and share your dancing video.

Pricing

Best Use Cases

• Social Media Entertainment — Create fun, shareable content for TikTok, Reels, and Stories.
• Party & Event Content — Generate hilarious videos of friends and family.
• Viral Marketing — Produce attention-grabbing promotional content.
• Memes & Fun — Turn any portrait into an entertaining dance video.

Pro Tips

• Use clear, front-facing portrait images for best results.
• Full-body or upper-body shots work well for realistic dance animation.
• Ensure good lighting and image quality in your source photo.
• The generated video includes synchronized hip-hop music automatically.

Notes

• Image is the only required field.
• Ensure uploaded image URLs are publicly accessible.
• Please use responsibly and respect others’ likeness.

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'
{
  "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-twerk" \
  -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

Response Parameters

Result Request Parameters

Result Response Parameters