WaveSpeedAI APIVideo Effects Kissing Pro

Video Effects Kissing Pro

Video Effects Kissing Pro

Playground

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Transform your dual-person photos into dynamic kissing videos with enhanced synchronization and natural motion.

Features

Professional Kissing Effect

Requirements

Number of Images

  • Required
  • Only a single image upload is supported

Number of People

  • Only supports dual-person group photos and dual-person collages

Image Requirements

  • Better results are achieved when the input image is clear and features half-body frontal shots

Prompt

  • Required
  • Preserve the original format as much as possible (see the “prompt” parameter in the request example for details)
  • Minor prompt modifications are allowed for personalization, provided the core structure and majority of content remain unchanged

Effect Boundaries

  • Potential edge cases:
    • Third person appearing during kissing scenes
    • Incomplete kissing gestures

Best Practices

  1. Use clear, front-facing photos
  2. Ensure both subjects are clearly visible
  3. Use half-body shots for optimal results
  4. Keep the default prompt structure
  5. Ensure subjects’ faces are clearly visible

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/kissing-pro" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "image": "https://image01.cf.vidu.studio/vidu-maas/Tempmates_material/Interactive/Interactive/0331/haiwai/qinwenpro_upload.png"
}'

# 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

ParameterTypeRequiredDefaultRangeDescription
imagestringYes-An image to be used as the start frame of the generated video. Requirements: 1. Only accepts 1 image; 2. Only supports dual-person group photos and dual-person collages; 3. Better results are achieved with clear, half-body frontal shots; 4. Images can be provided via URLs or Base64 encode; 5. Supported codecs: PNG, JPEG, JPG, WebP; 6. Image aspect ratio must be less than 1:4 or 4:1; 7. Maximum file size: 50MB; 8. Base64 decode length must be under 50MB with appropriate content type string.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Query Parameters

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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