AI Kissing API Documentation

AI Kissing API Documentation

Playground

AI Kissing generates a romantic kissing video from one or two input images. Upload one image with two people, or two separate images to composite them together. Ready-to-use REST inference API, no coldstarts, affordable pricing.

Features

AI Kissing generates a fun kissing video from two images. Upload two portraits — people, pets, or characters — and watch them come together in a playful animated kiss. Perfect for entertainment, social media content, and creative projects.

Why Choose This?

• Two-image composition Combine any two portraits into a single animated kissing video.

• Works with anything People, pets, cartoon characters — any two faces can be animated together.

• Simple workflow Just upload two images — no prompts or complex settings needed.

• Fun & shareable Create entertaining videos perfect for social media and messaging.

Parameters

How to Use

1. Upload the left image — provide the first portrait.
2. Upload the right image — provide the second portrait.
3. Run — click the button and wait for processing.
4. Download — save and share your kissing video.

Pricing

Best Use Cases

• Social Media Fun — Create entertaining content for TikTok, Reels, and Stories.
• Pet Content — Make adorable videos of pets “kissing” each other.
• Couples & Friends — Generate fun videos for special occasions or just for laughs.
• Memes & Entertainment — Combine any two faces for creative, shareable content.

Pro Tips

• Use clear, front-facing portraits for best results.
• Both images should have similar lighting for more natural blending.
• Works great with pets — try dogs, cats, or any animals with clear faces.
• Ensure good image quality in both source photos.

Notes

• Both image and right_image are required fields.
• 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-kissing" \
  -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