Hunyuan Video 1.5 Image To Video API Documentation

Hunyuan Video 1.5 Image To Video API Documentation

Playground

Try it on WaveSpeedAI!

HunyuanVideo-1.5 (i2v) is a lightweight 8.3B parameter image-to-video model that generates high-quality videos from images 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 is Tencent’s lightweight, state-of-the-art video generation model. The image-to-video variant on WaveSpeedAI lets you animate a single still image into a smooth, cinematic clip guided by your text prompt, while keeping the original visual style and character identity stable.


Key features

  • High-quality image-to-video generation with strong motion coherence
  • Lightweight 8.3B-parameter design for fast inference
  • Multiple resolutions: 480p, 720p
  • Video durations: 5 s, 8 s, and 10 s

Limits and performance

  • Input: single image (any reasonable resolution; automatically resized/preprocessed)
  • Output: short video clip at selected resolution, duration, and aspect ratio
  • Recommended duration: up to 10 seconds per clip
  • Best performance with clear, well-lit images and a prompt that specifies motion, camera behavior, and mood

Pricing

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

How to use

  1. Upload your input image (this becomes the starting frame of the video).
  2. Enter a prompt describing the motion, camera movement, environment changes, and overall mood.
  3. Choose the resolution: 480p, 720p.
  4. Select the aspect ratio (16:9 for landscape or 9:16 for vertical/mobile).
  5. Choose the duration: 5, 8, or 10 seconds.
  6. Optionally set the seed for reproducibility.
  7. Run the job and wait for processing.
  8. Preview the generated video and download it from the WaveSpeedAI dashboard.

Tips for best results

  • Use a clean, high-resolution input image; avoid heavy compression and motion blur.
  • In the prompt, specify both what moves (hair, clothes, camera, background elements) and what stays stable (character pose, framing).
  • Mention camera behavior explicitly (e.g., “slow push-in,” “handheld shake,” “static camera with subtle parallax”).
  • Shorter durations (5–8 s) tend to produce the most coherent motion for complex scenes.
  • For a series of related clips, reuse the same seed and similar prompts to keep style and identity consistent.

Notes

HunyuanVideo-1.5 I2V is ideal for creators who want fast, controllable animation from still images without heavyweight hardware. It can be combined with high-end image models on WaveSpeedAI (such as Nano Banana Pro or Seedream v4) for a full pipeline: generate a keyframe with an image model, then bring it to life with HunyuanVideo.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
  "resolution": "720p",
  "duration": 5,
  "seed": -1
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/hunyuan-video-1.5/image-to-video" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
imagestringYes-The image to generate the video from. Provide URL or base64 encoded image.
promptstringNo-The positive prompt for the generation. Describes the motion and action in the video.
resolutionstringNo720p480p, 720pThe resolution of the generated video.
durationintegerNo55, 8The duration of the generated video in seconds.
seedintegerNo-1-The 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.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (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

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
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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