Hunyuan Video I2V API Documentation

Hunyuan Video I2V API Documentation

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Hunyuan i2v turns images and text prompts into high-quality videos, generating coherent short clips from descriptive inputs. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Hunyuan Video I2V is an image-to-video model that turns a single reference image into a short animated clip guided by a text prompt. Upload an image to lock in subject, composition, and style, then describe the action and camera behavior you want. The model is well-suited for cinematic motion, character-driven beats, and atmospheric scenes where you want the “still” to come alive with coherent movement.

Key capabilities

  • Image-to-video generation from one reference image
  • Prompt-driven motion: actions, expressions, environment changes, camera movement
  • Stable composition anchored to the input image
  • Good for cinematic, dramatic, and stylized shots
  • Supports duration and inference-step controls for quality vs. speed tradeoffs
  • Multiple output sizes (e.g., 1280×720)

Use cases

  • Animate key art, posters, and character portraits into short clips
  • Cinematic micro-stories: close-up → reveal, slow push-ins, mood-heavy scenes
  • Atmosphere and VFX-style motion: rain, fog, embers, neon flicker, drifting particles
  • Social content loops from a single still image
  • Rapid previsualization for scenes before full video production

Pricing

OutputPrice
Per run$0.40

Inputs

  • image (required): reference image to anchor subject and style
  • prompt (required): action + camera directions

Parameters

  • duration: clip length in seconds
  • num_inference_steps: sampling steps (higher often improves coherence/detail)
  • seed: random seed (-1 for random; set for reproducible results)
  • size: output resolution (e.g., 1280×720)

Prompting guide (I2V)

Write prompts like a director’s brief:

  • Subject: who/what is on screen
  • Action: what changes over time (gestures, expression, environment)
  • Camera: push-in, pull-back, pan, tilt, handheld vs. locked-off
  • Mood/lighting: candlelight, moonlight, neon, fog, rim light
  • Motion constraints: “subtle movement”, “no shaky camera”, “smooth dolly”

Example prompts

  • A pale vampire woman stands at a candlelit window, crimson eyes glowing. She slowly raises her hand and taps long nails against the glass. Her expression shifts from seductive to dangerous as bats flutter past outside. Slow cinematic push-in, soft candle flicker, subtle fog, smooth motion, dramatic lighting.

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",
  "num_inference_steps": 30,
  "duration": 5,
  "seed": -1,
  "size": "1280*720"
}
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/i2v" \
  -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.
promptstringNo-The positive prompt for the generation.
num_inference_stepsintegerNo301 ~ 30The number of inference steps to perform.
durationintegerNo55 ~ 10The duration of the generated media in seconds.
seedintegerNo-1-The random seed to use for the generation. -1 means a random seed will be used.
sizestringNo1280*7201280*720, 720*1280The size of the generated media in pixels (width*height).

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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