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.
Siap
$0.3per run·~33 / $10
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.
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.
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Left portrait image (URL or upload) |
| right_image | Yes | Right portrait image (URL or upload) |
| Output | Cost |
|---|---|
| Per video | $0.30 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-kissing with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Ai Kissing below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-kissing" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"image": "https://example.com/your-input.jpg"
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/ai-kissing", {
"image": "https://example.com/your-input.jpg"
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/ai-kissing",
{
"image": "https://example.com/your-input.jpg"
}
)
print(output["outputs"][0]) # → URL of the generated outputAi Kissing is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. 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. You can call it programmatically or try it from the playground above.
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 prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/ai-kissing.
Ai Kissing starts at $0.30 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.
Key inputs: `image`, `right_image`. 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/wavespeed-ai/ai-kissing.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.