WaveSpeedAI APIWavespeed AIHunyuan Video 1.5 Text To Video

Hunyuan Video 1.5 Text To Video

Hunyuan Video 1.5 Text To Video

Playground

Try it on WavespeedAI!

HunyuanVideo-1.5 (t2v) is a lightweight 8.3B parameter text-to-video model that generates high-quality videos with top-tier visual quality and motion coherence. Optimized for fast inference on consumer-grade GPUs. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

HunyuanVideo-1.5 Text-to-Video

HunyuanVideo-1.5 is Tencent’s lightweight text-to-video generation model that delivers state-of-the-art visual quality and motion coherence with only 8.3B parameters. It is designed to be both powerful and efficient, making high-quality video generation accessible for everyday creators and production workflows on WaveSpeedAI.

Key Features

  • High-quality video generation directly from text prompts
  • Lightweight 8.3B parameters for fast inference on consumer-grade GPUs
  • Video durations: 5 s, 8 s, and 10 s
  • Strong motion coherence and stable subject identity

Pricing

ResolutionPrice per second
480p$0.02 / s
720p$0.04 / s

How to Use

  1. Write your text prompt describing the scene, characters, motion, camera movement, and overall style.
  2. Select the duration: 5 s, 8 s, or 10 s.
  3. Optionally tweak inference steps or seed to balance speed, quality, and reproducibility.
  4. Run the job from the WaveSpeedAI interface.
  5. Preview the generated clip and download it from the dashboard.

Tips for Best Results

  • Be explicit: describe who is in the scene, what they are doing, where they are, and how the camera moves.
  • Mention style and mood (for example, “cinematic lighting,” “handheld documentary,” “anime style,” “neon cyberpunk city”).
  • Shorter clips (5–8 s) generally produce the most coherent and visually stable results.
  • Reuse similar prompts and seeds when you want a series of related shots that share style and characters.

Upscaling for Higher Quality

After generating your base video with HunyuanVideo-1.5, you can use WaveSpeedAI’s dedicated video super-resolution models to enhance clarity and sharpness:

Generate efficiently at 480p or 720p, then upscale to higher resolutions for a better final viewing experience.

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-1.5/text-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "size": "1280*720",
    "duration": 5,
    "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
promptstringYes-The positive prompt for the generation.
negative_promptstringNo-The negative prompt for the generation.
sizestringNo1280*720832*480, 480*832, 1280*720, 720*1280The size of the generated video in pixels (width*height).
durationintegerNo55, 8The duration of the generated video in seconds.
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

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.outputsstringArray 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.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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