Think Sound

Think Sound

Playground

Try it on WavespeedAI!

Upload a video and provide a text description to generate realistic audio.

Features

ThinkSound

What is ThinkSound?

ThinkSound is a cutting-edge video-to-audio generation model. By leveraging advanced deep learning techniques, this model can generate high-quality, realistic audio that aligns perfectly with the content of the input video.

Key Features:

  • Video-to-Audio Generation: Converts video content into corresponding audio tracks, enhancing the overall multimedia experience.
  • High-Quality Output: Produces clear and realistic audio that matches the context and actions depicted in the video.

Tips

For optimal results, ensure that the input video has clear visuals and distinct actions or events that can be translated into audio.

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/think-sound" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "video": "",
    "prompt": "",
    "seed": -1
}'

# 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
videostringYes-The video for generating the output.
promptstringNo-The prompt for generating the output.
seedintegerNo-1-1 ~ 2147483647The random seed to use for the generation. -1 means a random seed will be used.

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 Request Parameters

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