Minimax H3 Highspeed Image To Video API Documentation
Playground
Try it on WaveSpeedAI!MiniMax H3 Highspeed Image-to-Video generates fast 768P videos from input images with flexible 4-15 second duration, making it suitable for rapid image animation, social content, creative videos, ads, and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
MiniMax H3 Highspeed Image-to-Video turns a starting image into a video with prompt-guided motion. Provide a first-frame image, describe the action and camera movement, and optionally add a last-frame image to guide how the video ends.
Why Choose This?
- Image-to-video generation — Animate a still image with prompt-guided motion.
- Optional last frame — Add a target ending image for more control over the final transition.
- Flexible duration — Generate videos from
4to15seconds. - 768p output — Generate videos at
768p. - Source framing preserved — Output aspect ratio follows the input image.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Describe the desired scene, action, and camera movement. Supports 1–7000 characters. |
| image | Yes | First-frame image used to start the generated video. Each side must be between 256 and 5760 pixels, with a width-to-height ratio between 0.4 and 2.5. |
| last_image | No | Optional target image used to guide the final frame of the generated video. |
| resolution | No | Output resolution: 768p. Default: 768p. |
| duration | No | Video duration in whole seconds from 4 to 15. Default: 5. |
How to Use
- Upload a starting image — Provide the first frame for the generated video.
- Write a prompt — Describe the desired motion, action, and camera movement.
- Add a last image optional — Provide a target ending frame when additional control is needed.
- Choose duration — Select a video length from
4to15seconds. - Submit — Generate and retrieve the completed video.
Pricing
$0.06 per second of requested video duration.
| Duration | Price |
|---|---|
| 4s | $0.24 |
| 5s | $0.30 |
| 10s | $0.60 |
| 15s | $0.90 |
The first-frame and optional last-frame images do not add separate charges.
Best Use Cases
- Portrait animation — Bring people and characters in still images into motion.
- Product videos — Animate product imagery for promotional content.
- Creative storytelling — Turn illustrations and concept art into moving scenes.
- Social content — Create short-form videos from existing images.
- Start-to-end transitions — Use a last-frame image to guide how the generated scene finishes.
Pro Tips
- Start with a clear image that has a strong main subject.
- Focus the prompt on motion, action, and camera behavior.
- Keep the requested action suitable for the selected duration.
- Use
last_imagewhen you want more control over the ending frame. - Keep the first and last images visually compatible for smoother transitions.
Notes
promptandimageare required.durationsupports whole-second values from4to15and defaults to5.- Output resolution is
768p. - Output aspect ratio follows the input image.
Related Models
- MiniMax H3 Highspeed Text-to-Video — Generate videos directly from text prompts.
- MiniMax H3 Highspeed Reference-to-Video — Generate videos using multimodal references.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"resolution": "768p",
"duration": 5
}
JSON
)
# 1. Submit the prediction once. Never retry this request automatically:
# a retry after an unclear failure can create a second, billed task.
CHECK='The task may already exist. Check History or the predictions list before submitting again.'
if ! SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
--connect-timeout 10 --max-time 60 \
-X POST "https://api.wavespeed.ai/api/v3/minimax/h3-highspeed/image-to-video" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}"); then
printf 'Submit failed. %s\n' "${CHECK}" >&2
exit 1
fi
TASK=$(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. %s\n' "${CHECK}" >&2
exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"
# 2. Poll until the prediction reaches a final status.
BODY_FILE=$(mktemp)
trap 'rm -f "${BODY_FILE}"' EXIT
while true; do
# Transient errors (429, 5xx) are retried, honoring Retry-After.
HTTP_CODE=$(curl --silent --show-error --fail-with-body \
--connect-timeout 10 --max-time 60 --retry 5 --retry-delay 2 \
--output "${BODY_FILE}" --write-out '%{http_code}' \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" || true)
case "${HTTP_CODE}" in
2??) ;;
000|429|5??) # dropped connection or temporary error: keep polling
printf 'Task %s: HTTP %s, polling again in 10s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
sleep 10; continue ;;
*) printf 'Task %s: HTTP %s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
cat "${BODY_FILE}" >&2; exit 1 ;;
esac
RESULT=$(jq 'if type == "object" and has("data") then .data else . end' "${BODY_FILE}")
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted)
printf 'Task %s ended with status %s\n' "${PREDICTION_ID}" "${STATUS}" >&2
printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneRetry temporary errors only while polling, never the submit request. Errors, retries and timeouts
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | 1 ~ 7000 characters | Text description of the desired motion and scene. | |
| image | string | Yes | - | First-frame image URL or Base64 data. Supported image dimensions are 256-5760 pixels per side, with an aspect ratio between 0.4 and 2.5. | |
| last_image | string | No | - | - | Optional last-frame image URL or Base64 data. |
| resolution | string | No | 768p | 768p | Output video resolution. |
| duration | integer | No | 5 | 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 | Output video duration in seconds. |
Every model also accepts the global request options enable_sync_mode and enable_base64_output; see their pages for details.
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.status | string | Task status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses. |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<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.urls | object | Object containing related API endpoints |
| data.status | string | Status: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |