WaveSpeedAI APIVideo Effects Fluffy Plunge

Video Effects Fluffy Plunge

Video Effects Fluffy Plunge

Playground

Try it on WavespeedAI!

Transform your pet photos into dynamic diving videos with natural motion and emotion.

Features

Fluffy Plunge Effect

Requirements

Number of Images

  • Only one image can be uploaded

Number of People

  • Only a single pet is supported

Image Requirements

  • Only single-subject (pet) images are supported
  • Multiple subjects may affect video quality

Prompt

  • Required
  • Keep the format unchanged
  • See the ‘prompt’ parameter in the request example

Effect Boundaries

  • The pet may not perform the spinning dive in some cases

Best Practices

  1. Use clear, well-lit photos
  2. Ensure the pet is the main focus of the image
  3. Use photos where the pet is clearly visible
  4. Keep the default prompt structure
  5. Avoid multiple pets or complex backgrounds

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/fluffy-plunge" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "image": "https://scene.vidu.zone/media-asset/073256-tLSAklE7o8gGJtc3.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 a single pet is supported; 3. Only single-subject (pet) images are supported, multiple subjects may affect video quality; 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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