Ai Kissing

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

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

Parameter	Required	Description
image	Yes	Left portrait image (URL or upload)
right_image	Yes	Right portrait image (URL or upload)

How to Use

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

Pricing

Output	Cost
Per video	$0.25

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


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-kissing" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

Parameter	Type	Required	Default	Range	Description
image	string	Yes		-	The URL of the first person's image.
right_image	string	No	-	-	The URL of the second person's image. If provided, both people will be composited into a single frame before video generation.

Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data.id	string	Unique identifier for the prediction, Task Id
data.model	string	Model ID used for the prediction
data.outputs	array	Array of URLs to the generated content (empty when status is not `completed`)
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.has_nsfw_contents	array	Array of boolean values indicating NSFW detection for each output
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

Result Request Parameters

Parameter	Type	Required	Default	Description
id	string	Yes	-	Task ID

Result Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data	object	The prediction data object containing all details
data.id	string	Unique identifier for the prediction, the ID of the prediction to get
data.model	string	Model ID used for the prediction
data.outputs	string	Array of URLs to the generated content (empty when status is not completed).
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

Ace Step Prompt To Audio AI Twerk