Minimax H3 Image To Video Spicy API Documentation

Minimax H3 Image To Video Spicy API Documentation

Playground

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MiniMax H3 Open Weights Spicy Image to Video is a fast AI image-to-video generation model that creates high-quality cinematic clips from images, optimized for scalable content generation with smooth, expressive animations, stable aesthetics, and native stereo audio. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

MiniMax H3 Image-to-Video Spicy Open Weights animates a start image into a video with prompt-guided motion. The output canvas follows the input image’s aspect ratio, and you can optionally provide a last_image to guide the ending frame.


Why Choose This?

  • Image-to-video generation
    Animate a start image into a short video.

  • Optional prompt control
    Add a prompt to describe the scene, action, camera movement, and mood.

  • Start-and-end-frame guidance
    Use image as the first frame and optionally provide last_image to guide the final frame.

  • Native canvas option
    Use 768p for the model’s native canvas, 480p for faster, lower-cost generation, 540p for a mid tier at 1.5x the 480p price, or 1080p for full-HD output at 2x the 768p price.

  • Flexible duration
    Choose an output duration from 3 to 15 seconds.

  • Seed support
    Set a seed for more reproducible generation, or use a negative value for random generation.


Parameters

ParameterRequiredDescription
imageYesStart image URL to guide the video generation. The output canvas follows this image’s aspect ratio.
promptNoDescribe the scene, action, camera movement, and mood for the video.
last_imageNoOptional last-frame image URL. When provided, the video interpolates from the first frame to this frame.
resolutionNoOutput video resolution: 480p, 540p, 768p, or 1080p. 768p is the model’s native canvas; 480p is a faster, lower-cost tier; 540p is a mid tier at 1.5x the 480p price; 1080p is the highest-quality full-HD tier. Default: 480p.
durationNoOutput video duration in seconds. Options: 3 to 15. Default: 5.
seedNoRandom seed for generation. A negative value means a random seed will be used.

How to Use

  1. Upload a start image — Provide the image that should define the first frame and canvas aspect ratio.
  2. Write a prompt optional — Describe the action, motion, camera movement, mood, and scene direction.
  3. Add a last image optional — Use last_image when you want to guide the final frame.
  4. Choose resolution — Use 480p for faster generation, 540p for a mid-price step up, 768p for the native canvas, or 1080p for full-HD output.
  5. Set duration — Choose a duration from 3 to 15 seconds.
  6. Set seed optional — Use a fixed seed for reproducible results, or a negative value for random generation.
  7. Submit — Generate the final image-to-video output.

Pricing

Pricing is based on generated video duration and selected resolution.

ResolutionPer second5s15s
480p$0.04$0.20$0.60
540p$0.06$0.30$0.90
768p$0.08$0.40$1.20
1080p$0.16$0.80$2.40

Duration is capped at 15 seconds for pricing.

Example Costs

Resolution3s5s10s15s
480p$0.12$0.20$0.40$0.60
540p$0.18$0.30$0.60$0.90
768p$0.24$0.40$0.80$1.20
1080p$0.48$0.80$1.60$2.40

prompt, last_image, and seed do not add separate charges.


Best Use Cases

  • Image animation — Turn a still image into a short motion clip.
  • Character motion — Animate portraits, characters, or illustrated subjects.
  • Start-and-end-frame transitions — Use image and last_image to guide both ends of the video.
  • Creative prototyping — Test motion, camera direction, and scene mood from a single image.
  • Social video content — Generate short clips from static images for vertical, square, or landscape-style compositions.
  • Prompt variation testing — Compare different actions or camera movements from the same start image.

Pro Tips

  • Use a clear, high-quality start image for stronger subject and composition preservation.
  • Add last_image when the final pose, framing, or ending state matters.
  • Describe visible action clearly, such as turning, walking, looking up, zooming in, or moving through the scene.
  • Include camera movement and mood when the shot direction matters.
  • Use 480p for quick testing, 540p for a step up, and 768p or 1080p for higher-resolution output.
  • Use a fixed seed when comparing prompt or parameter changes.

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": "480p",
  "duration": 5
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/minimax-h3/image-to-video-spicy" \
  -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 "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"

# 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|deleted) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
imagestringYes-Start image URL to guide the video generation. The output canvas follows this image's aspect ratio.
promptstringNo-Describe the scene, action, camera movement, and mood for the video.
last_imagestringNo--Optional last-frame image URL. When provided, the video interpolates from the first frame to this frame.
resolutionstringNo480p480p, 540p, 768p, 1080pOutput video resolution. 768p is the model's native canvas; 480p is a faster, lower-cost tier; 540p is a mid tier at 1.5x the 480p price. 1080p is the highest-quality full-HD tier at 2x the 768p price (generation takes longer).
durationintegerNo53, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15Output video duration in seconds.
seedintegerNo--The random seed to use for the generation. A negative value 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.statusstringTask status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses.
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.statusstringStatus: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses
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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