WaveSpeedAI APIVideo Effects Love Drop

Video Effects Love Drop

Video Effects Love Drop

Playground

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Create romantic and heartwarming videos with dynamic interactions between characters.

Features

Love Drop Effect

Requirements

Number of Images

  • Required
  • Only supports uploading one image

Number of People

  • Supports single-person photos, or photos of one person with one pet

Image Requirements

  • Best results are achieved when the main subject’s upper body or full body is clearly visible from the front

Prompt

  • Required
  • Try not to change the format, content can be found in the request example ‘prompt’ parameter
  • If there are personalized needs, you can make changes to the prompt while keeping the structure and most of the content unchanged

Effect Boundaries

  • When the input image contains two people or two pets, it is not possible to depict an external character feeding one of them
  • It may mistakenly generate a kissing interaction between the two
  • In some two-person images, a third character may appear entering from outside the frame, merely observing without engaging in intimate actions
  • There is also a low probability of generating same-gender kissing couples

Best Practices

  1. Use clear, front-facing photos
  2. Ensure the main subject is clearly visible
  3. Use upper body or full body shots for optimal results
  4. Keep the default prompt structure
  5. Follow the prompt format for different scenarios (single person, person with pet)

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/video-effects/love-drop" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "image": "https://image01.cf.vidu.studio/vidu-maas/Tempmates_material/lovedrop_0520/lovedrop_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. Supports single-person photos, or photos of one person with one pet; 3. Best results are achieved when the main subject's upper body or full body is clearly visible from the front; 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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