WaveSpeedAI APIHunyuan Video T2v

Hunyuan Video T2V

Hunyuan Video T2V

Playground

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HunyuanVideo is an advanced text-to-video generation model that can create high-quality videos from text descriptions.

Features

HunyuanVideo

HunyuanVideo is an advanced text-to-video generation model that can create high-quality videos from text descriptions. It features a comprehensive framework that integrates image-video joint model training and efficient infrastructure for large-scale model training and inference.

Model Description

This model is trained on a spatial-temporally compressed latent space and uses a large language model for text encoding. According to professional human evaluation results, HunyuanVideo outperforms previous state-of-the-art models in terms of text alignment, motion quality, and visual quality.

Key features

  • 🎨 High-quality video generation from text descriptions
  • 📐 Support for various aspect ratios and resolutions
  • ✍️ Advanced prompt handling with a built-in rewrite system
  • 🎯 Stable motion generation and temporal consistency

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/hunyuan-video/t2v" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "prompt": "A playful, fluffy orange kitten wearing sunglasses skateboarding smoothly through a neon-lit futuristic cityscape at night, passing robots, flying cars, and holographic advertisements.",
    "size": "1280*720",
    "seed": -1,
    "num_inference_steps": 30,
    "enable_safety_checker": true
}'

# 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
promptstringYes-The prompt to generate the video from.
sizestringNo1280*7201280*720, 720*1280The size of the generated media in pixels (width*height).
seedintegerNo-1-1 ~ 2147483647The random seed to use for the generation. -1 means a random seed will be used.
num_inference_stepsintegerNo302 ~ 30The number of inference steps to perform.
enable_safety_checkerbooleanNotrue-If set to true, the safety checker will be enabled.

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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